@proceedings {7110,
	title = {The Algebraic Path Problem for Graph Metrics},
	volume = {162},
	year = {2022},
	pages = {19178-19204},
	author = {Fita , E and Damrich, S. and Hamprecht, F A}
}
@article {7049,
	title = {Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder},
	journal = {Bioinformatics},
	volume = {38 (Suppl 1)},
	number = { arXiv:2102.05892},
	year = {2022},
	pages = {i316-i324},
	publisher = {arXiv preprint},
	doi = {10.1093/bioinformatics/btac249 },
	author = {Garrido, Q and Damrich, S and J{\"a}ger, A and Cerletti, D and Claassen, M and Najman, L and Hamprecht, F A}
}
@phdthesis {7074,
	title = {Bayesian Neural Networks for Probabilistic Machine Learning},
	year = {2021},
	publisher = {Heidelberg University},
	author = {Hau{\ss}mann, M}
}
@article {7032,
	title = {A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule},
	journal = {eLife},
	year = {2021},
	doi = {10.7554/eLife.63262},
	author = {Vijayan, A. and Tofanelli, R and Strauss, S and Cerrone, L and Wolny, A and Strohmeier, J and Kreshuk, A and Fred A. Hamprecht and Smith, R S and Schneitz, K}
}
@proceedings {7084,
	title = {Directed Probabilistic Watershed},
	volume = {34},
	year = {2021},
	author = {Fita, E and Damrich, S and Hamprecht, FA}
}
@unpublished {7061,
	title = {Evidential Turing Processes},
	number = {https://arxiv.org/abs/2106.01216},
	year = {2021},
	publisher = {arXiv preprint},
	url = {https://arxiv.org/abs/2106.01216},
	author = {Kandemir, M and Agk{\"u}l, A and Hau{\ss}mann, M and {\"U}nal, G}
}
@proceedings {7087,
	title = {Extensions of Karger{\textquoteright}s Algorithm: Why They Fail in Theory and How They Are Useful in Practice},
	year = {2021},
	pages = {4602-4611},
	author = {Jenner, E and Fita, E and Hamprecht, FA}
}
@article {7086,
	title = {Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana},
	journal = {Plant and Cell Physiology},
	volume = {62},
	year = {2021},
	pages = {1269-1279},
	doi = {10.1093/pcp/pcab038},
	author = {Sch{\"u}tz, LM and Louveaux, M and Vilches-Barro, A and Bouziri, S and Cerrone, L and Wolny, A and Kreshuk, A and Hamprecht, FA and Maizel, A}
}
@techreport {7050,
	title = {ISTDECO: In Situ Transcriptomics Decoding by Deconvolution},
	year = {2021},
	institution = {bioRxiv},
	author = {Andersson, A and Diego, F and Hamprecht, F A and W{\"a}hlby, C}
}
@proceedings {7060,
	title = {Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes},
	volume = {PMLR 130},
	year = {2021},
	pages = {478-486},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Look, A and Rakitsch, B and Kandemir, M}
}
@article {7022,
	title = {Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera},
	journal = {BioEssays},
	volume = {43},
	year = {2021},
	doi = {10.1002/bies.202000257},
	author = {Pape, C and Remme, R and Wolny, A and Olberg, S and Wolf, S and Cerrone, L and Cortese, M and Klaus, S and Lucic, B and Ullrich, S and Anders-{\"O}sswein, M and Wolf, S and Cerikan, B and Neufeldt, C J and Ganter, M and Schnitzler, P and Merle, U and Lusic, M and Boulant, S and Stanifer, M and Bartenschlager, R and Hamprecht, F A and Kreshuk, A and Tischer, C and Kr{\"a}usslich, H.-G. and M{\"u}ller, B and Laketa, V}
}
@proceedings {7033,
	title = {MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons},
	year = {2021},
	pages = {295-298},
	doi = {10.1109/ISBI48211.2021.9433769},
	author = {Walter, F C and Damrich, S and Hamprecht, FA}
}
@proceedings {7041,
	title = {Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes},
	year = {2021},
	abstract = {There have been many successful implementations of
neural style transfer in recent years. In most of these works,
the stylization process is confined to the pixel domain. How-
ever, we argue that this representation is unnatural because
paintings usually consist of brushstrokes rather than pixels.
We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce
a simple differentiable rendering mechanism.
Our approach significantly improves visual quality and en-
ables additional control over the stylization process such as
controlling the flow of brushstrokes through user input.
We provide qualitative and quantitative evaluations that
show the efficacy of the proposed parameterized representation.},
	url = {https://compvis.github.io/brushstroke-parameterized-style-transfer/},
	author = {Dmytro Kotovenko and Matthias Wright and Arthur Heimbrecht and Bj{\"o}rn Ommer}
}
@unpublished {7088,
	title = {Seipin forms a flexible cage at lipid droplet formation sites},
	year = {2021},
	publisher = {bioRxiv},
	doi = {10.1101/2021.08.05.45527},
	author = {Arlt, H and Sui, X and Folger, B and Adams, C and Chen, X and Remme, R and Hamprecht, FA and DiMaio, F and Liao, M and Goodman, JM and Farese, RV and Walther, TC}
}
@article {7048,
	title = {UMAP does not reproduce high-dimensional similarities due to negative sampling},
	number = {arXiv:2103.14608},
	year = {2021},
	publisher = {arXiv preprint},
	author = {Damrich, S and Hamprecht, F.H.}
}
@proceedings {7085,
	title = {On UMAP{\textquoteright}s True Loss Function},
	volume = {34},
	year = {2021},
	author = {Damrich, S and Hamprecht, FA}
}
@unpublished {7062,
	title = {Understanding Event-Generation Networks via Uncertainties},
	year = {2021},
	publisher = {arXiv preprint},
	url = {https://arxiv.org/abs/2104.04543v1},
	author = {Bellagente, M and Hau{\ss}mann, M and Luchmann, M and Plehn, T}
}
@article {7045,
	title = {Unsupervised behaviour analysis and magnification (uBAM) using deep learning},
	journal = {Nature Machine Intelligence},
	year = {2021},
	abstract = {Motor behaviour analysis is essential to biomedical research and clinical diagnostics as it provides a non-invasive strategy for identifying motor impairment and its change caused by interventions. State-of-the-art instrumented movement analysis is time- and cost-intensive, because it requires the placement of physical or virtual markers. As well as the effort required for marking the keypoints or annotations necessary for training or fine-tuning a detector, users need to know the interesting behaviour beforehand to provide meaningful keypoints. Here, we introduce unsupervised behaviour analysis and magnification (uBAM), an automatic deep learning algorithm for analysing behaviour by discovering and magnifying deviations. A central aspect is unsupervised learning of posture and behaviour representations to enable an objective comparison of movement. Besides discovering and quantifying deviations in behaviour, we also propose a generative model for visually magnifying subtle behaviour differences directly in a video without requiring a detour via keypoints or annotations. Essential for this magnification of deviations, even across different individuals, is a disentangling of appearance and behaviour. Evaluations on rodents and human patients with neurological diseases demonstrate the wide applicability of our approach. Moreover, combining optogenetic stimulation with our unsupervised behaviour analysis shows its suitability as a non-invasive diagnostic tool correlating function to brain plasticity.},
	doi = {https://doi.org/10.1038/s42256-021-00326-x},
	url = {https://rdcu.be/ch6pL},
	author = {Biagio Brattoli and Uta B{\"u}chler and Michael Dorkenwald and Philipp Reiser and Linard Filli and Fritjof Helmchen and Anna-Sophia Wahl and Bj{\"o}rn Ommer}
}
@article {7090,
	title = {Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution},
	journal = {eLife},
	volume = {9},
	year = {2020},
	doi = {10.7554/eLife.57613},
	author = {Wolny, A and Cerrone, L and Vijayan, A and Tofanelli, R and Vilches-Barro, A and Louveaux, M and Wenzel, C and Strauss, S and Wilson-Sanchez, D and Lymbouridou, R and Steigleder, SS and Pape, C and Bailoni, A and Duran-Nebreda, S and Bassel, GW and Lohmann, JU and Tsiantis, M and Hamprecht, FA and Schneitz, K and Maizel, A and Kreshuk, A}
}
@article {Krull2020,
	title = {Artificial-intelligence-driven scanning probe microscopy},
	journal = {Communications Physics},
	volume = {3},
	year = {2020},
	abstract = {Scanning probe microscopy (SPM) has revolutionized the fields of materials, nano-science, chemistry, and biology, by enabling mapping of surface properties and surface manipulation with atomic precision. However, these achievements require constant human supervision; fully automated SPM has not been accomplished yet. Here we demonstrate an artificial intelligence framework based on machine learning for autonomous SPM operation (DeepSPM). DeepSPM includes an algorithmic search of good sample regions, a convolutional neural network to assess the quality of acquired images, and a deep reinforcement learning agent to reliably condition the state of the probe. DeepSPM is able to acquire and classify data continuously in multi-day scanning tunneling microscopy experiments, managing the probe quality in response to varying experimental conditions. Our approach paves the way for advanced methods hardly feasible by human operation (e.g., large dataset acquisition and SPM-based nanolithography). DeepSPM can be generalized to most SPM techniques, with the source code publicly available.},
	issn = {23993650},
	doi = {10.1038/s42005-020-0317-3},
	author = {Krull, A. and Hirsch, P. and Rother, C. and Schiffrin, A. and Krull, C.}
}
@incollection {Schnorr:2019aa,
	title = {Assignment Flows},
	year = {2020},
	pages = {235{\textemdash}260},
	publisher = {Springer},
	url = {https://www.springer.com/gp/book/9783030313500},
	author = {Schn{\"o}rr, C.},
	editor = {Grohs, P. and Holler, M. and Weinmann, A.}
}
@proceedings {7059,
	title = {Bayesian Evidential Deep Learning with PAC Regularization },
	year = {2020},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Kandemir, M}
}
@article {6319,
	title = {Deep-Learning Jets with Uncertainties and More},
	journal = {SciPost Phys},
	volume = {8},
	year = {2020},
	doi = {10.21468/SciPostPhys.8.1.006 },
	url = {https://scipost.org/10.21468/SciPostPhys.8.1.006},
	author = {Bollweg, S and Manuel Hau{\ss}mann and Kasieczka, G and Luchmann, M and Plehn, T and Thompson, J}
}
@proceedings {7089,
	title = {DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging},
	year = {2020},
	pages = {151-162},
	author = {Kirschbaum, E and Bailoni, A and Hamprecht, FA}
}
@article {6333,
	title = {End-to-End Learning of Decision Trees and Forests},
	journal = {International Journal of Computer Vision},
	volume = {128},
	year = {2020},
	pages = {997-1011},
	doi = {10.1007/s11263-019-01237-6},
	author = {Hehn, TM and Kooij, J F P and Fred A. Hamprecht}
}
@proceedings {7001,
	title = {Inpainting Networks Learn to Separate Cells in Microscopy Images},
	year = {2020},
	author = {Wolf, S. and Hamprecht, F A and Funke, J.}
}
@article {7092,
	title = {Instance Separation Emerges from Inpainting},
	journal = {arXiv preprint arXiv:2003.00891},
	year = {2020},
	author = {Wolf, S and Hamprecht, FA and Funke, J}
}
@article {Wolf2020,
	title = {The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {43},
	year = {2020},
	pages = {3724-3738},
	abstract = {Image partitioning, or segmentation without semantics, is the task of decomposing an image into distinct segments, or equivalently to detect closed contours. Most prior work either requires seeds, one per segment; or a threshold; or formulates the task as multicut / correlation clustering, an NP-hard problem. Here, we propose a greedy algorithm for signed graph partitioning, the "Mutex Watershed". Unlike seeded watershed, the algorithm can accommodate not only attractive but also repulsive cues, allowing it to find a previously unspecified number of segments without the need for explicit seeds or a tunable threshold. We also prove that this simple algorithm solves to global optimality an objective function that is intimately related to the multicut / correlation clustering integer linear programming formulation. The algorithm is deterministic, very simple to implement, and has empirically linearithmic complexity. When presented with short-range attractive and long-range repulsive cues from a deep neural network, the Mutex Watershed gives the best results currently known for the competitive ISBI 2012 EM segmentation benchmark.},
	doi = {10.1109/tpami.2020.2980827},
	author = {Wolf, Steffen and Bailoni, Alberto and Pape, Constantin and Rahaman, Nasim and Kreshuk, Anna and K{\"o}the, Ullrich and Hamprecht, Fred A.}
}
@proceedings {Haller2020,
	title = {A Primal-Dual Solver for Large-Scale Tracking-by-Assignment},
	year = {2020},
	abstract = {We propose a fast approximate solver for the combinatorial problem known as tracking-by-assignment, which we apply to cell tracking. The latter plays a key role in discovery in many life sciences, especially in cell and developmental biology. So far, in the most general setting this problem was addressed by off-the-shelf solvers like Gurobi, whose run time and memory requirements rapidly grow with the size of the input. In contrast, for our method this growth is nearly linear. Our contribution consists of a new (1) de-composable compact representation of the problem; (2) dual block-coordinate ascent method for optimizing the decomposition-based dual; and (3) primal heuristics that reconstructs a feasible integer solution based on the dual information. Compared to solving the problem with Gurobi, we observe an up to 60 times speed-up, while reducing the memory footprint significantly. We demonstrate the efficacy of our method on real-world tracking problems.},
	author = {Stefan Haller and Prakash, Mangal and Hutschenreiter, Lisa and Pietzsch, Tobias and Carsten Rother and Jug, Florian and Swoboda, Paul and Savchynskyy, Bogdan}
}
@proceedings {7005,
	title = {Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks},
	volume = {12544},
	year = {2020},
	pages = {331-344},
	publisher = {Springer},
	edition = {LNCS},
	doi = {10.1007/978-3-030-71278-5_24},
	author = {Bailoni, A and Pape, C and Wolf, S and Kreshuk, A. and Hamprecht, F A}
}
@proceedings {6990,
	title = {The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation},
	year = {2020},
	pages = {208-224},
	doi = {doi.org/10.1007/978-3-030-58539-6_13},
	author = {Wolf, S and Li, Y and Pape, C and Bailoni, A and Kreshuk, A and Hamprecht, F A}
}
@incollection {Schnorr:2019aa,
	title = {Assignment Flows},
	year = {2019},
	note = {in press},
	publisher = {Springer},
	author = {Schn{\"o}rr, C.},
	editor = {Grohs, P. and Holler, M. and Weinmann, A.}
}
@article {6320,
	title = {Bayesian Prior Networks with PAC Training},
	journal = {arXiv preprint arXiv:1906.00816},
	year = {2019},
	author = {Manuel Hau{\ss}mann and Gerwinn, S and Kandemir, M.}
}
@proceedings {6318,
	title = {Deep Active Learning with Adaptive Acquisition},
	year = {2019},
	pages = {2470-2476},
	doi = { 10.24963/ijcai.2019/343},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M.}
}
@conference {Li2019,
	title = {Deep Object Co-segmentation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11363 LNCS},
	year = {2019},
	pages = {638{\textendash}653},
	abstract = {This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images. This means that the method learns to ignore common, or uncommon, background stuff and focuses on common objects. If multiple object classes are presented in the image pair, they are jointly extracted as foreground. To address this task, we propose a CNN-based Siamese encoder-decoder architecture. The encoder extracts high-level semantic features of the foreground objects, a mutual correlation layer detects the common objects, and finally, the decoder generates the output foreground masks for each image. To train our model, we compile a large object co-segmentation dataset consisting of image pairs from the PASCAL dataset with common objects masks. We evaluate our approach on commonly used datasets for co-segmentation tasks and observe that our approach consistently outperforms competing methods, for both seen and unseen object classes.},
	isbn = {9783030208929},
	issn = {16113349},
	doi = {10.1007/978-3-030-20893-6_40},
	author = {Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@proceedings {6302,
	title = {End-to-End Learned Random Walker for Seeded Image Segmentation},
	year = {2019},
	pages = {12559-12568},
	doi = { 10.1109/CVPR.2019.01284},
	author = {Cerrone, L and Zeilmann, A and Fred A. Hamprecht}
}
@article {7083,
	title = {Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures},
	journal = {Nature Communications},
	volume = {13;10(1)},
	year = {2019},
	doi = {10.1038/s41467-019-09879-3},
	author = {Imle, A and Kumberger, P and Schnellb{\"a}cher, ND and Fehr, J and Carillo-Bustamente, P and Ales, J and Schmidt, P and Ritter, C and Godinez, WJ and M{\"u}ller, B and Rohr, K and Hamprecht, FA and Schwarz, US and Graw, F and Fackler, OT}
}
@article {kirchhoefer2019,
	title = {Extended noise equalisation for image compression in microscopical applications},
	journal = {tm - Technisches Messen},
	volume = {86},
	year = {2019},
	pages = {422{\textendash}432},
	doi = {10.1515/teme-2019-0022},
	author = {Daniel M. Kirchh{\"o}fer and Gerhard A. Holst and Fred S. Wouters and Stephan Hock and Bernd J{\"a}hne}
}
@article {6334,
	title = {ilastik: interactive machine learning for (bio)image analysis},
	journal = {Nature Methods},
	volume = {16},
	year = {2019},
	pages = {1226-1232},
	doi = {10.1038/s41592-019-0582-9},
	author = {Stuart Berg and Kutra, D and Kroeger, T and Christoph N. Straehle and Bernhard X. Kausler and Haubold, C. and Schiegg, M and Ales, J and Thorsten Beier and Rudy, M and Eren, K and Cervantes, JI and Xu, B and Beuttenm{\"u}ller, F and Wolny, A and Zhang, C and Ullrich K{\"o}the and Fred A. Hamprecht and Kreshuk, A}
}
@conference {HosseiniJafari2019,
	title = {iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11363 LNCS},
	year = {2019},
	pages = {477{\textendash}492},
	abstract = {We address the task of 6D pose estimation of known rigid objects from single input images in scenarios where the objects are partly occluded. Recent RGB-D-based methods are robust to moderate degrees of occlusion. For RGB inputs, no previous method works well for partly occluded objects. Our main contribution is to present the first deep learning-based system that estimates accurate poses for partly occluded objects from RGB-D and RGB input. We achieve this with a new instance-aware pipeline that decomposes 6D object pose estimation into a sequence of simpler steps, where each step removes specific aspects of the problem. The first step localizes all known objects in the image using an instance segmentation network, and hence eliminates surrounding clutter and occluders. The second step densely maps pixels to 3D object surface positions, so called object coordinates, using an encoder-decoder network, and hence eliminates object appearance. The third, and final, step predicts the 6D pose using geometric optimization. We demonstrate that we significantly outperform the state-of-the-art for pose estimation of partly occluded objects for both RGB and RGB-D input.},
	isbn = {9783030208929},
	issn = {16113349},
	doi = {10.1007/978-3-030-20893-6_30},
	author = {Omid Hosseini Jafari and Mustikovela, Siva Karthik and Pertsch, Karl and Brachmann, Eric and Carsten Rother}
}
@phdthesis {6346,
	title = {Isotropic Reconstruction of Neural Morphology from Large Non-Isotropic 3D Electron MIcroscopy},
	year = {2019},
	publisher = {Heidelberg University},
	author = {Hanslovsky, P}
}
@article {Huhnerbein:2019ab,
	title = {Learning Adaptive Regularization for Image Labeling Using Geometric Assignment},
	journal = {preprint: arXiv},
	year = {2019},
	url = {https://arxiv.org/abs/1910.09976},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@conference {Huhnerbein:2019aa,
	title = {Learning Adaptive Regularization for Image Labeling Using Geometric Assignment},
	booktitle = {Proc. SSVM},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Petra, S. and Schn{\"o}rr, C.}
}
@proceedings {6288,
	title = {LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos},
	year = {2019},
	author = {Kirschbaum, E. and Manuel Hau{\ss}mann and Wolf, S and Sonntag, H and Schneider, J and Elzoheiry, S and Kann, O and Durstewitz, D and Fred A. Hamprecht}
}
@techreport {Li,
	title = {Localizing Common Objects Using Common Component Activation Map},
	year = {2019},
	abstract = {In this work, we propose an approach to localize common objects from novel object categories in a set of images. We solve this problem using a new common component activation map (CCAM) in which we treat the class-specific activation maps (CAM) as components to discover the common components in the image set. We show that our approach can generalize on novel object categories in our experiments .},
	author = {Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@conference {fita2019probabilistic,
	title = {Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning},
	booktitle = {Advances in Neural Information Processing Systems},
	year = {2019},
	author = {Fita Sanmartin, E and Damrich, Sebastian and Hamprecht, Fred A.}
}
@proceedings {6317,
	title = {Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation},
	year = {2019},
	pages = {563-573},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M.}
}
@article {6337,
	title = {Total variation regularization of pose signals with an application to 3D freehand ultrasound},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {38(10)},
	year = {2019},
	pages = {2245-2258},
	doi = { 10.1109/TMI.2019.2898480},
	author = {Esposito, M and Hennersperger, C and G{\"o}bl, R and Demaret, L and Martin Storath and Navab, N and Baust, M and Weinmann, A}
}
@conference {6323,
	title = {Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis},
	booktitle = {Proceedings of the Intl. Conf. on Computer Vision (ICCV)},
	year = {2019},
	abstract = {Deep generative models come with the promise to learn an explainable representation for visual objects that allows image sampling, synthesis, and selective modification. The main challenge is to learn to properly model the independent latent characteristics of an object, especially its appearance and pose. We present a novel approach that learns disentangled representations of these characteristics and explains them individually. Training requires only pairs of images depicting the same object appearance, but no pose annotations. We propose an additional classifier that estimates the minimal amount of regularization required to enforce disentanglement. Thus both representations together can completely explain an image while being independent of each other. Previous methods based on adversarial approaches fail to enforce this independence, while methods based on variational approaches lead to uninformative representations. In experiments on diverse object categories, the approach successfully recombines pose and appearance to reconstruct and retarget novel synthesized images. We achieve significant improvements over state-of-the-art methods which utilize the same level of supervision, and reach performances comparable to those of pose-supervised approaches. However, we can handle the vast body of articulated object classes for which no pose models/annotations are available.},
	url = {https://compvis.github.io/robust-disentangling/},
	author = {Patrick Esser and Johannes Haux and Bj{\"o}rn Ommer}
}
@conference {Hodan2018,
	title = {BOP: Benchmark for 6D object pose estimation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11214 LNCS},
	year = {2018},
	month = {aug},
	pages = {19{\textendash}35},
	abstract = {We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the object in known 6D poses. The benchmark comprises of: (i) eight datasets in a unified format that cover different practical scenarios, including two new datasets focusing on varying lighting conditions, (ii) an evaluation methodology with a pose-error function that deals with pose ambiguities, (iii) a comprehensive evaluation of 15 diverse recent methods that captures the status quo of the field, and (iv) an online evaluation system that is open for continuous submission of new results. The evaluation shows that methods based on point-pair features currently perform best, outperforming template matching methods, learning-based methods and methods based on 3D local features. The project website is available at bop.felk.cvut.cz.},
	isbn = {9783030012489},
	issn = {16113349},
	doi = {10.1007/978-3-030-01249-6_2},
	url = {http://arxiv.org/abs/1808.08319},
	author = {Hoda{\v n}, Tom{\'a}{\v s} and Michel, Frank and Brachmann, Eric and Kehl, Wadim and Buch, Anders Glent and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae Kyun and Matas, Ji{\v r}{\'\i} and Carsten Rother}
}
@proceedings {6297,
	title = {End-to-end Learning of Deterministic Decision Trees},
	volume = {LNCS 11269},
	year = {2018},
	pages = {612-627},
	publisher = {Springer},
	doi = {10.1007/978-3-030-12939-2_42},
	author = {Hehn, T and Fred A. Hamprecht}
}
@proceedings {6272,
	title = {Essentially No Barriers in Neural Network Energy Landscape},
	volume = {80},
	year = {2018},
	pages = {1308--1317},
	author = {Draxler, F and Veschgini, K and Salmhofer, M and Fred A. Hamprecht}
}
@conference {DBLP:conf/aaai/HallerSS18,
	title = {Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation},
	booktitle = {Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018},
	year = {2018},
	publisher = {AAAI Press},
	organization = {AAAI Press},
	url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16379},
	author = {Stefan Haller and Paul Swoboda and Bogdan Savchynskyy},
	editor = {Sheila A. McIlraith and Kilian Q. Weinberger}
}
@article {6266,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {11},
	year = {2018},
	pages = {1317-1362},
	doi = {10.1137/17M1150669},
	author = {H{\"u}hnerbein, R and Savarino, F and Freddie Astr{\"o}m and Schn{\"o}rr, C}
}
@article {Huhnerbein:2018aa,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	journal = {SIAM J. Imaging Science},
	volume = {11},
	number = {2},
	year = {2018},
	pages = {1317{\textendash}1362},
	url = {https://epubs.siam.org/doi/abs/10.1137/17M1150669},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@proceedings {6310,
	title = {iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects},
	year = {2018},
	author = {Omid Hosseini Jafari and Mustikovela, S K and Pertsch, K and E Brachmann and Carsten Rother}
}
@proceedings {6234,
	title = {Learning Steerable Filters for Rotation Equivariant CNNs},
	year = {2018},
	pages = {849-858},
	doi = {10.1109/CVPR.2018.00095},
	author = {Maurice Weiler and Fred A. Hamprecht and Martin Storath}
}
@proceedings {6275,
	title = {The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning},
	year = {2018},
	pages = {571-587},
	publisher = {Springer},
	doi = {10.1007/978-3-030-01225-0_34},
	author = {Wolf, S and Pape, C and Bailoni, A and Rahaman, N and Kreshuk, A. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Wolf2018,
	title = {The Mutex Watershed: Efficient, Parameter-Free Image Partitioning},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {11208 LNCS},
	year = {2018},
	month = {apr},
	pages = {571{\textendash}587},
	abstract = {Image partitioning, or segmentation without semantics, is the task of decomposing an image into distinct segments; or equivalently, the task of detecting closed contours in an image. Most prior work either requires seeds, one per segment; or a threshold; or formulates the task as an NP-hard signed graph partitioning problem. Here, we propose an algorithm with empirically linearithmic complexity. Unlike seeded watershed, the algorithm can accommodate not only attractive but also repulsive cues, allowing it to find a previously unspecified number of segments without the need for explicit seeds or a tunable threshold. The algorithm itself, which we dub {\textquotedblleft}Mutex Watershed{\textquotedblright}, is closely related to a minimal spanning tree computation. It is deterministic and easy to implement. When presented with short-range attractive and long-range repulsive cues from a deep neural network, the Mutex Watershed gives results that currently define the state-of-the-art in the competitive ISBI 2012 EM segmentation benchmark. These results are also better than those obtained from other recently proposed clustering strategies operating on the very same network outputs.},
	isbn = {9783030012243},
	issn = {16113349},
	doi = {10.1007/978-3-030-01225-0_34},
	url = {http://arxiv.org/abs/1904.12654},
	author = {Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {6314,
	title = {On the spectral bias of deep neural networks},
	journal = {arXiv preprint arXiv:1806.08734},
	year = {2018},
	author = {Rahaman, N and Arpit, D and Baratin, A and Draxler, F and Lin, M and Fred A. Hamprecht and Bengio, Y and Courville, A}
}
@article {bredies2017total,
	title = {Total Generalized Variation for Manifold-valued Data},
	journal = {SIAM Journal on Imaging Sciences},
	volume = {11},
	year = {2018},
	pages = {1785 - 1848},
	author = {Kristian Bredies and Martin Holler and Martin Storath and Andreas Weinmann}
}
@conference {6282,
	title = {Towards Learning a Realistic Rendering of Human Behavior},
	booktitle = {European Conference on Computer Vision (ECCV - HBUGEN)},
	year = {2018},
	abstract = {Realistic rendering of human behavior is of great interest for applications such as video animations, virtual reality and more generally, gaming engines. Commonly animations of persons performing actions are rendered by articulating explicit 3D models based on sequences of coarse body shape representations simulating a certain behavior. While the simulation of natural behavior can be efficiently learned from common video data, the corresponding 3D models are typically designed in manual, laborious processes or reconstructed from costly (multi-)sensor data. In this work, we present an approach towards a holistic learning framework for rendering human behavior in which all components are learned from easily available data. We utilize motion capture data to generate realistic generations which can be controlled by a user and learn to render characters using only RGB camera data. Our experiments show that we can further improve data efficiency by training on multiple characters at the same time. Overall our approach shows a completely new path towards easily available, personalized avatar creation.},
	author = {Patrick Esser and Johannes Haux and Timo Milbich and Bj{\"o}rn Ommer}
}
@article {6180,
	title = {Active machine learning for training an event classification},
	journal = {Patent, Patent Number WO2017032775 A1},
	year = {2017},
	author = {Kandemir, M. and Fred A. Hamprecht and Wojek, C. and Schmidt, U.}
}
@conference {Jafari2017,
	title = {Analyzing modular CNN architectures for joint depth prediction and semantic segmentation},
	booktitle = {Proceedings - IEEE International Conference on Robotics and Automation},
	year = {2017},
	month = {feb},
	pages = {4620{\textendash}4627},
	abstract = {This paper addresses the task of designing a modular neural network architecture that jointly solves different tasks. As an example we use the tasks of depth estimation and semantic segmentation given a single RGB image. The main focus of this work is to analyze the cross-modality influence between depth and semantic prediction maps on their joint refinement. While most of the previous works solely focus on measuring improvements in accuracy, we propose a way to quantify the cross-modality influence. We show that there is a relationship between final accuracy and cross-modality influence, although not a simple linear one. Hence a larger cross-modality influence does not necessarily translate into an improved accuracy. We find that a beneficial balance between the cross-modality influences can be achieved by network architecture and conjecture that this relationship can be utilized to understand different network design choices. Towards this end we propose a Convolutional Neural Network (CNN) architecture that fuses the state-of-the-art results for depth estimation and semantic labeling. By balancing the cross-modality influences between depth and semantic prediction, we achieve improved results for both tasks using the NYU-Depth v2 benchmark.},
	isbn = {9781509046331},
	issn = {10504729},
	doi = {10.1109/ICRA.2017.7989537},
	url = {http://arxiv.org/abs/1702.08009 http://dx.doi.org/10.1109/ICRA.2017.7989537},
	author = {Omid Hosseini Jafari and Groth, Oliver and Kirillov, Alexander and Yang, Michael Ying and Carsten Rother}
}
@mastersthesis {holtmann2017,
	title = {Aufbau eines aktiven Thermographiesystems zur Messung des Geschwindigkeitsgradienten in der windgetriebenen wasserseitigen viskosen Grenzschicht},
	year = {2017},
	school = {Institut f{\"u}r Umweltphysik, Universit{\"a}t Heidelberg, Germany},
	type = {mastersBachelor{\textquoteright}s thesis},
	doi = {10.11588/heidok.00023754},
	author = {Leonard Gerhard Holtmann}
}
@conference {Behl2017,
	title = {Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2017-Octob},
	year = {2017},
	pages = {2593{\textendash}2602},
	abstract = {Existing methods for 3D scene flow estimation often fail in the presence of large displacement or local ambiguities, e.g., at texture-less or reflective surfaces. However, these challenges are omnipresent in dynamic road scenes, which is the focus of this work. Our main contribution is to overcome these 3D motion estimation problems by exploiting recognition. In particular, we investigate the importance of recognition granularity, from coarse 2D bounding box estimates over 2D instance segmentations to fine-grained 3D object part predictions. We compute these cues using CNNs trained on a newly annotated dataset of stereo images and integrate them into a CRF-based model for robust 3D scene flow estimation - an approach we term Instance Scene Flow. We analyze the importance of each recognition cue in an ablation study and observe that the instance segmentation cue is by far strongest, in our setting. We demonstrate the effectiveness of our method on the challenging KITTI 2015 scene flow benchmark where we achieve state-of-the-art performance at the time of submission.},
	isbn = {9781538610329},
	issn = {15505499},
	doi = {10.1109/ICCV.2017.281},
	author = {Behl, Aseem and Omid Hosseini Jafari and Mustikovela, Siva Karthik and Hassan Abu Alhaija and Carsten Rother and Geiger, Andreas}
}
@conference {Behl2017a,
	title = {Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?},
	booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
	volume = {2017-Octob},
	year = {2017},
	pages = {2593{\textendash}2602},
	abstract = {Existing methods for 3D scene flow estimation often fail in the presence of large displacement or local ambiguities, e.g., at texture-less or reflective surfaces. However, these challenges are omnipresent in dynamic road scenes, which is the focus of this work. Our main contribution is to overcome these 3D motion estimation problems by exploiting recognition. In particular, we investigate the importance of recognition granularity, from coarse 2D bounding box estimates over 2D instance segmentations to fine-grained 3D object part predictions. We compute these cues using CNNs trained on a newly annotated dataset of stereo images and integrate them into a CRF-based model for robust 3D scene flow estimation - an approach we term Instance Scene Flow. We analyze the importance of each recognition cue in an ablation study and observe that the instance segmentation cue is by far strongest, in our setting. We demonstrate the effectiveness of our method on the challenging KITTI 2015 scene flow benchmark where we achieve state-of-the-art performance at the time of submission.},
	isbn = {9781538610329},
	issn = {15505499},
	doi = {10.1109/ICCV.2017.281},
	author = {Behl, Aseem and Omid Hosseini Jafari and Mustikovela, Siva Karthik and Hassan Abu Alhaija and Carsten Rother and Geiger, Andreas}
}
@proceedings {6204,
	title = {Cost-efficient Gradient Boosting},
	year = {2017},
	author = {Peter, S. and Ferran Diego and Fred A. Hamprecht and Nadler, B}
}
@proceedings {6182,
	title = {Diverse M-best Solutions by Dynamic Programming},
	volume = {LNCS 10496},
	year = {2017},
	pages = {255-267},
	publisher = {Springer},
	doi = {10.1007/978-3-319-66709-6_21},
	author = {Haubold, C. and Uhlmann, V and Michael Unser and Fred A. Hamprecht}
}
@article {6209,
	title = {Diverse Shortest Paths for Bioimage Analysis},
	journal = {Bioinformatics},
	year = {2017},
	pages = {1-3},
	doi = {10.1093/bioinformatics/btx621},
	author = {Uhlmann, V and Haubold, C. and Fred A. Hamprecht and Michael Unser}
}
@article {storath2016edge,
	title = {Edge preserving and noise reducing reconstruction for magnetic particle imaging},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {36},
	year = {2017},
	pages = {74 - 85},
	doi = {10.1109/TMI.2016.2593954},
	author = {Martin Storath and Christina Brandt and Martin Hofmann and Tobias Knopp and Johannes~Salamon and Alexander Weber and Andreas Weinmann}
}
@booklet {Huehnerbein2017,
	title = {Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment},
	year = {2017},
	note = {arXiv, preprint},
	month = {Oct},
	url = {http://arxiv.org/abs/1710.01493},
	author = {H{\"u}hnerbein, R. and Savarino, F. and Astr{\"o}m, F. and Schn{\"o}rr, C.}
}
@mastersthesis {6185,
	title = {Improvement and Validation of Neural EM Volume Image Segmentation by High-Level Information},
	year = {2017},
	school = {University of Heidelberg},
	author = {Hennies, J}
}
@mastersthesis {6147,
	title = {Interactive Watershed Based Segmentation for Biological Images},
	year = {2017},
	school = {University of Heidelberg},
	author = {Haller, A}
}
@article {6212,
	title = {Learned Watershed: End-to-End Learning of Seeded Segmentation},
	year = {2017},
	pages = {2030-2038},
	author = {Wolf, S and Schott, L and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Astroem2017a,
	title = {MAP Image Labeling Using Wasserstein Messages and Geometric Assignment},
	booktitle = {Proc. SSVM},
	series = {LCNS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Astr{\"o}m, F. and H{\"u}hnerbein, R. and Savarino, F. and Recknagel, J. and Schn{\"o}rr, C.}
}
@article {6181,
	title = {Maschinelles Lernen},
	journal = {Patent, Patent Number WO2017032775A1},
	year = {2017},
	author = {Kandemir, M. and Fred A. Hamprecht and Wojek, C and Schmidt, U.}
}
@inbook {6086,
	title = {Mass spectrometry imaging for the investigation of intratumor heterogeneity},
	booktitle = {Advances in Cancer Research},
	volume = {134},
	year = {2017},
	pages = {201-230},
	publisher = {Elsevier},
	organization = {Elsevier},
	doi = {10.1016/bs.acr.2016.11.008},
	author = {Balluff, B and Hanselmann, M. and Heeren, R. M. A.}
}
@phdthesis {Haltebourg2017,
	title = {Modeling of Heat Exchange Across the Ocean Surface as Measured by Active Thermography},
	volume = {Dissertation},
	year = {2017},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	type = {phdDissertation},
	doi = {10.11588/heidok.00022980},
	author = {Clemens Haltebourg}
}
@article {6122,
	title = {Multicut brings automated neurite segmentation closer to human performance},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {101-102},
	doi = {10.1038/nmeth.4151},
	url = {http://rdcu.be/oVDQ},
	author = {Thorsten Beier and Pape, C and Rahaman, N and Prange, T and Stuart Berg and Bock, D and A. Cardona and G. W. Knott and Plaza, S M and Scheffer, L K and Ullrich K{\"o}the and Kreshuk, A and Fred A. Hamprecht}
}
@article {6178,
	title = {Neuron Segmentation with High-Level Biological Priors},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {37},
	year = {2017},
	chapter = {829-839},
	doi = {10.1109/TMI.2017.2712360},
	author = {Krasowki, N and Thorsten Beier and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht and Kreshuk, A.}
}
@conference {Savarino2017,
	title = {Numerical Integration of Riemannian Gradient Flows for Image Labeling},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	volume = {10302},
	year = {2017},
	publisher = {Springer},
	organization = {Springer},
	author = {Savarino, F. and H{\"u}hnerbein, R. and Astr{\"o}m, F. and Recknagel, J. and Schn{\"o}rr, C.}
}
@article {6210,
	title = {An Objective Comparison of Cell Tracking Algorithms},
	journal = {Nature Methods},
	volume = {14},
	year = {2017},
	pages = {1141-1152},
	doi = {10.1038/NMETH.447},
	author = {Ulman, V. and Ma{\v s}ka, M. and Magnusson, K .E. G. and Ronneberger, O. and Haubold, C. and Harder, N. and Matula, P. and Matula, P. and Svoboda, D. and Radojevic, M. and Smal, I. and Karl Rohr and Jald{\'e}n, J. and Blau, H. M. and Dzyubachyk, O. and Lelieveldt, B. and Xiao, P. and Li, Y. and Cho, S-Y. and Dufour, A. and Olivo-Marin, J. C. and Reyes-Aldasoro, C. C. and Solis-Lemus, J. A. and Bensch, R. and Brox, T. and Stegmaier, J. and Mikut, R. and Wolf, S. and Fred A. Hamprecht and Esteves, T. and Quelhas, P. and Demirel, {\"O}. and Malstr{\"o}m, L. and Jug, F. and Toman{\v c}{\'a}k, P. and Meijering, E. and Mu{\~n}oz-Barrutia, A. and Kozubek, M. and Ortiz-de-Solorzano, C.}
}
@article {6188,
	title = {Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation},
	journal = {Nature Communications},
	year = {2017},
	pages = {(ASW \& UB contributed equally; BO and MES contributed equally)},
	doi = {10.1038/s41467-017-01090-6},
	url = {https://www.nature.com/articles/s41467-017-01090-6},
	author = {Anna-Sophia Wahl and Uta B{\"u}chler and A. Br{\"a}ndli and Biagio Brattoli and S. Musall and H. Kasper and B.V. Ineichen and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@mastersthesis {6202,
	title = {A probabilistic approach to learn complex differentiable split functions in decision trees using gradient ascent},
	year = {2017},
	school = {Heidelberg University},
	author = {Hehn, T}
}
@phdthesis {6186,
	title = {Scalable Inference for Multi-Target Tracking on Proliferating Cells},
	year = {2017},
	publisher = {University of Heidelberg},
	author = {Haubold, C.}
}
@article {Hullin2017,
	title = {Semantic-Aware Image Smoothing},
	journal = {Vision, Modeling, and Visualization},
	year = {2017},
	abstract = {Structure-preserving image smoothing aims to extract semantically meaningful image structure from texture, which is one of the fundamental problems in computer vision and graphics. However, it is still not clear how to define this concept. On the other hand, semantic image labeling has achieved significant progress recently and has been widely used in many computer vision tasks. In this paper, we present an interesting observation, i.e. high-level semantic image labeling information can provide a meaningful structure prior naturally. Based on this observation, we propose a simple and yet effective method, which we term semantic smoothing, by exploiting the semantic information to accomplish semantically structure-preserving image smoothing. We show that our approach outperforms the state-of-the-art approaches in texture removal by considering the semantic infor-mation for structure preservation. Also, we apply our approach to three applications: detail enhancement, edge detection, and image segmentation, and we demonstrate the effectiveness of our semantic smoothing method on these problems.},
	keywords = {Enhancement{\textemdash} Smoothing, I43 [Image Processing and Computer Vision]},
	url = {https://hci.iwr.uni-heidelberg.de/vislearn/wp-content/uploads/2014/08/paper1024_CRC.pdf},
	author = {Hullin, M and Klein, R and Schultz, T and Yao, A and Weihao Li and Omid Hosseini Jafari and Carsten Rother}
}
@proceedings {6205,
	title = {Sparse convolutional coding for neuronal assembly detection},
	year = {2017},
	author = {Peter, S. and Kirschbaum, E. and M. Both and Campbell, L. A. and Harvey, B. K. and Heins, C. and Durstewitz, D. and Ferran Diego and Fred A. Hamprecht}
}
@proceedings {6140,
	title = {Variational Bayesian Multiple Instance Learning with Gaussian Processes},
	year = {2017},
	pages = {6570-6579},
	doi = {10.1109/CVPR.2017.93},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M}
}
@conference {DBLP:conf/isvc/GussefeldHK16,
	title = {Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets},
	booktitle = {Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}},
	year = {2016},
	abstract = {Optical flow ground truth generated by computer graphics has many advantages. For example, we can systematically vary scene parameters to understand algorithm sensitivities. But is synthetic ground truth realistic enough? Appropriate material models have been established as one of the major challenges for the creation of synthetic datasets: previous research has shown that highly sophisticated reflectance field acquisition methods yield results, which various optical flow methods cannot distinguish from real scenes. However, such methods are costly both in acquisition and rendering time and thus infeasible for large datasets. In this paper we find the simplest reflectance models (RM) for different groups of materials which still provide sufficient accuracy for optical flow performance analysis. It turns out that a spatially varying Phong RM is sufficient for simple materials. Normal estimation combined with Anisotropic RM can handle even very complex materials.},
	doi = {10.1007/978-3-319-50835-1_8},
	author = {G{\"u}ssefeld, Burkhard and Katrin Honauer and Daniel Kondermann}
}
@conference {Honauer-etal-2017-ICCV,
	title = {A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields},
	booktitle = {Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	address = {Cham},
	abstract = {In computer vision communities such as stereo, optical flow, or visual tracking, commonly accepted and widely used benchmarks have enabled objective comparison and boosted scientific progress. In  the  emergent  light  field  community,  a  comparable  benchmark  and evaluation methodology is still missing. The performance of newly proposed methods is often demonstrated qualitatively on a handful of images, making quantitative comparison and targeted progress very difficult. To overcome these difficulties, we propose a novel light field benchmark. We provide 24 carefully designed synthetic, densely sampled 4D light fields with highly accurate disparity ground truth. We thoroughly evaluate four state-of-the-art light field algorithms and one multi-view stereo algorithm using existing and novel error measures. This consolidated state-of-the art  may serve as a baseline to stimulate and guide further scientific progress. We publish the benchmark website http://www.lightfield-analysis.net , an evaluation toolkit, and our rendering setup to encourage submissions of both algorithms and further datasets.},
	isbn = {978-3-319-54186-0},
	doi = {10.1007/978-3-319-54187-7_2},
	author = {Katrin Honauer and Ole Johannsen and Daniel Kondermann and Bastian Goldl{\"u}cke},
	editor = {Lai, Shang-Hong}
}
@article {kleesiek_16_deep,
	title = {Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.},
	journal = {NeuroImage},
	volume = {129},
	year = {2016},
	pages = {460-469},
	doi = {10.1016/j.neuroimage.2016.01.024},
	author = {Kleesiek, J and Urban, G and Hubert, A and Schwarz, D and Maier-Hein, K and M. Bendszus and A. Biller}
}
@proceedings {6078,
	title = {An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem},
	volume = {LNCS 9906},
	year = {2016},
	pages = {715-730},
	publisher = {Springer},
	doi = { 10.1007/978-3-319-46475-6_44},
	author = {Thorsten Beier and Bj{\"o}rn Andres and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@proceedings {6080,
	title = {Gaussian process density counting from weak supervision},
	volume = {LNCS 9905},
	year = {2016},
	pages = {365-380 },
	publisher = {Springer},
	doi = { 	10.1007/978-3-319-46448-0_22},
	author = {M. von Borstel and Kandemir, M and Schmidt, P and Rao, M and Rajamani, K and Fred A. Hamprecht}
}
@proceedings {6077,
	title = {A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets},
	volume = {LNCS 9911},
	year = {2016},
	pages = {566-582},
	publisher = {Springer},
	doi = {10.1007/978-3-319-46478-7_35},
	author = {Haubold, C. and Ales, J and Wolf, S and Fred A. Hamprecht}
}
@conference {Kondermann_2016_CVPR_Workshops,
	title = {The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving},
	booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
	year = {2016},
	month = {June},
	abstract = { Recent advances in autonomous driving require more and more highly realistic reference data, even for difficult situations such as low light and bad weather. We present a new stereo and optical flow dataset to complement existing benchmarks. It was specifically designed to be representative for urban autonomous driving, including realistic, systematically varied radiometric and geometric challenges which were previously unavailable. The accuracy of the ground truth is evaluated based on Monte Carlo simulations yielding full, per-pixel distributions. Interquartile ranges are used as uncertainty measure to create binary masks for arbitrary accuracy thresholds and show that we achieved uncertainties better than those reported for comparable outdoor benchmarks. Binary masks for all dynamically moving regions are supplied with estimated stereo and flow values. An initial public benchmark dataset of 55 manually selected sequences between 19 and 100 frames long are made available in a dedicated website featuring interactive tools for database search, visualization, comparison and benchmarking.
},
	author = {Daniel Kondermann and Nair, Rahul and Katrin Honauer and Karsten Krispin and Jonas Andrulis and Alexander Brock and G{\"u}ssefeld, Burkhard and Mohsen Rahimimoghaddam and Sabine Hofmann and Brenner, Claus and Bernd J{\"a}hne}
}
@article {6119,
	title = {Imagining the future of bioimage analysis},
	journal = {Nature Biotechnology},
	volume = {34},
	year = {2016},
	pages = {1250-1255},
	doi = {10.1038/nbt.3722},
	author = {Meijering, E and Carpenter, A E and Peng, Hanchuan and Fred A. Hamprecht and Olivo-Marin, J}
}
@article {biller_16_improved,
	title = {Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression},
	journal = {American Journal of Neuroradiology},
	volume = {37 },
	year = {2016},
	pages = {66-73},
	doi = {10.3174/ajnr.A4493},
	author = {A. Biller and Badde, S and Nagel, A and Neumann, JO and Wick, W and Hertenstein, A and M. Bendszus and Sahm, F and Benkhedah, N and Kleesiek, J}
}
@proceedings {6081,
	title = {Learning Diverse Models: The Coulomb Structured Support Vector Machine},
	volume = {LNCS 9907},
	year = {2016},
	pages = {585-599},
	publisher = {Springer},
	doi = { 10.1007/978-3-319-46487-9_36},
	author = {Schiegg, M. and Ferran Diego and Fred A. Hamprecht}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {56},
	number = {2},
	year = {2016},
	month = {jan},
	pages = {221{\textendash}237},
	abstract = {We present a probabilistic graphical model formulation for the graph clustering problem. This enables us to locally represent uncertainty of image partitions by approximate marginal distributions in a mathematically substantiated way, and to rectify local data term cues so as to close contours and to obtain valid partitions. We exploit recent progress on globally optimal MAP inference by integer programming and on perturbation-based approximations of the log-partition function, in order to sample clusterings and to estimate marginal distributions of node-pairs both more accurately and more efficiently than state-of-the-art methods. Our approach works for any graphically represented problem instance. This is demonstrated for image segmentation and social network cluster analysis. Our mathematical ansatz should be relevant also for other combinatorial problems.},
	keywords = {Correlation clustering, graphical models, Multicut, Perturb and MAP},
	issn = {15737683},
	doi = {10.1007/s10851-016-0659-3},
	url = {http://arxiv.org/abs/1601.02088},
	author = {Kappes, Jorg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Christoph Schn{\"o}rr}
}
@article {Kappes2016,
	title = {Multicuts and Perturb \& MAP for Probabilistic Graph Clustering},
	journal = {J. Math. Imag. Vision},
	volume = {56},
	number = {2},
	year = {2016},
	pages = {221{\textendash}237},
	author = {Kappes, J.H. and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Schn{\"o}rr, C.}
}
@conference {Jafari2016,
	title = {Real-time RGB-D based template matching pedestrian detection},
	booktitle = {Proceedings - IEEE International Conference on Robotics and Automation},
	volume = {2016-June},
	year = {2016},
	pages = {5520{\textendash}5527},
	abstract = {Pedestrian detection is one of the most popular topics in computer vision and robotics. Considering challenging issues in multiple pedestrian detection, we present a real-time depth-based template matching people detector. In this paper, we propose different approaches for training the depth-based template. We train multiple templates for handling issues due to various upper-body orientations of the pedestrians and different levels of detail in depth-map of the pedestrians with various distances from the camera. And, we take into account the degree of reliability for different regions of sliding window by proposing the weighted template approach. Furthermore, we combine the depth-detector with an appearance based detector as a verifier to take advantage of the appearance cues for dealing with the limitations of depth data. We evaluate our method on the challenging ETH dataset sequence. We show that our method outperforms the state-of-the-art approaches.},
	isbn = {9781467380263},
	issn = {10504729},
	doi = {10.1109/ICRA.2016.7487767},
	author = {Omid Hosseini Jafari and Yang, Michael Ying}
}
@inbook {6055,
	title = {Segmenting and Tracking Multiple Dividing Targets Using ilastik},
	booktitle = {Focus on Bio-Image Informatics},
	series = {Advances in Anatomy, Embryology and Cell Biology},
	volume = {219},
	year = {2016},
	pages = {199-229},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-28549-8_8},
	author = {Haubold, C. and Schiegg, M. and Kreshuk, A. and Stuart Berg and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@proceedings {6063,
	title = {Structured Regression Gradient Boosting},
	year = {2016},
	pages = {1459-1467},
	doi = { 10.1109/CVPR.2016.162},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@proceedings {6079,
	title = {Variational weakly-supervised Gaussian processes},
	year = {2016},
	author = {Kandemir, M and Manuel Hau{\ss}mann and Ferran Diego and Rajamani, K and van der Laak, J and Fred A. Hamprecht}
}
@article {6033,
	title = {Virtual Raters for Reproducible and Objective Assessments in Radiology},
	journal = {Nature Scientific Reports},
	volume = {6},
	year = {2016},
	doi = {10.1038/srep25007},
	author = {Kleesiek, J. and Petersen, J. and D{\"o}ring, M. and Maier-Hein, K. and Ullrich K{\"o}the and Wick, W. and Fred A. Hamprecht and M. Bendszus and A. Biller}
}
@mastersthesis {6143,
	title = {Weakly Supervised Detection with Gaussian Processes},
	year = {2016},
	school = {University of Heidelberg},
	author = {Manuel Hau{\ss}mann}
}
@article {kreshuk_15_automated,
	title = {Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves},
	journal = {Journal of Microscopy},
	volume = {259 (2)},
	year = {2015},
	pages = {143-154},
	doi = {10.1111/jmi.12266},
	author = {Anna Kreshuk and Walecki, R. and Ullrich K{\"o}the and Gierthm{\"u}hlen, M. and Plachta, D. and Genoud, C. and Haastert-Talini, K. and Fred A. Hamprecht}
}
@proceedings {kandemir_15_cell,
	title = {Cell event detection in phase-contrast microscopy sequences from few annotations},
	volume = {LNCS 9351},
	year = {2015},
	pages = {316-323},
	publisher = {Springer},
	doi = {10.1007/978-3-319-24574-4_38},
	author = {Kandemir, M. and Fred A. Hamprecht}
}
@article {kappes_15_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	year = {2015},
	note = {1},
	pages = {1-30},
	doi = {10.1007/s11263-015-0809-x},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {Int.~J.~Comp.~Vision},
	year = {2015},
	note = {in press (preprint: arXiv:1404.0533)},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {Kappes2015,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Kappes2015a,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	isbn = {25164671.25},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {Kappes2015b,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {International Journal of Computer Vision},
	volume = {115},
	number = {2},
	year = {2015},
	pages = {155{\textendash}184},
	abstract = {Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal success of random field models means that the kinds of inference problems that have to be solved changed significantly. Specifically, the models today often include higher order interactions, flexible connectivity structures, large label-spaces of different cardinalities, or learned energy tables. To reflect these changes, we provide a modernized and enlarged study. We present an empirical comparison of more than 27 state-of-the-art optimization techniques on a corpus of 2453 energy minimization instances from diverse applications in computer vision. To ensure reproducibility, we evaluate all methods in the OpenGM 2 framework and report extensive results regarding runtime and solution quality. Key insights from our study agree with the results of Szeliski et al. for the types of models they studied. However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.},
	keywords = {Benchmark, Combinatorial optimization, Discrete graphical models},
	issn = {15731405},
	doi = {10.1007/s11263-015-0809-x},
	author = {Kappes, J{\"o}rg H and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Kausler, Bernhard X and Kr{\"o}ger, Thorben and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@proceedings {6003,
	title = {The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors},
	volume = {44},
	year = {2015},
	pages = {145-159},
	author = {Kandemir, M and Fred A. Hamprecht}
}
@conference {beier_15_fusion,
	title = {Fusion Moves for Correlation Clustering},
	booktitle = {CVPR. Proceedings},
	year = {2015},
	note = {1},
	pages = {3507-3516},
	author = {Thorsten Beier and Fred A. Hamprecht and J{\"o}rg H. Kappes}
}
@article {schiegg_15_graphical,
	title = {Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell},
	journal = {Bioinformatics},
	volume = {31},
	number = {6},
	year = {2015},
	note = {1},
	pages = {948-956},
	doi = {10.1093/bioinformatics/btu764},
	url = {http://bioinformatics.oxfordjournals.org/content/early/2014/11/17/bioinformatics.btu764.full.pdf?keytype=ref\&ijkey=mTXWsiFrci7R8tc},
	author = {Schiegg, M. and Hanslovsky, P. and Haubold, C. and Ullrich K{\"o}the and Hufnagel, L. and Fred A. Hamprecht}
}
@conference {Honauer-etal-2015-ICCV,
	title = {The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms},
	booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
	year = {2015},
	month = {December},
	abstract = {@InProceedings{Honauer_2015_ICCV,
author = {Honauer, Katrin and Maier-Hein, Lena and Kondermann, Daniel},
title = {The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2015}
} },
	author = {Katrin Honauer and Lena Maier-Hein and Daniel Kondermann}
}
@conference {krasowski_15_improving,
	title = {Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors},
	booktitle = {12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015},
	year = {2015},
	note = {1},
	pages = {536-539},
	doi = {10.1109/ISBI.2015.7163929},
	author = {Niko Krasowski and Thorsten Beier and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht and Anna Kreshuk}
}
@conference {funke_15_learning,
	title = {Learning to Segment: Training Hierarchical Segmentation under a Topological Loss},
	booktitle = {MICCAI. Proceedings, Part III},
	volume = {9351},
	year = {2015},
	pages = {268-275},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-24574-4},
	author = {Funke, J. and Fred A. Hamprecht and Zhang, C.},
	editor = {Frangi, A. et al.}
}
@article {mesarchaki2015,
	title = {Measuring air{\textendash}sea gas-exchange velocities in a large-scale annular wind{\textendash}wave tank},
	journal = {Ocean Sci.},
	volume = {11},
	year = {2015},
	pages = {121--138},
	doi = {10.5194/os-11-121-2015},
	author = {Evridiki Mesarchaki and Christine Kr{\"a}uter and Kerstin Ellen Krall and Maximilian Bopp and F. Helleis and Jonathan Williams and Bernd J{\"a}hne}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc.~SSVM},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {J{\"o}rg H. Kappes and Swoboda, P. and Savchynskyy, B. and Hazan, T. and Christoph Schn{\"o}rr}
}
@conference {Kappes2015c,
	title = {Probabilistic correlation clustering and image partitioning using perturbed Multicuts},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9087},
	year = {2015},
	pages = {231{\textendash}242},
	abstract = {We exploit recent progress on globally optimal MAP inference by integer programming and perturbation-based approximations of the log-partition function. This enables to locally represent uncertainty of image partitions by approximate marginal distributions in a mathematically substantiated way, and to rectify local data term cues so as to close contours and to obtain valid partitions. Our approach works for any graphically represented problem instance of correlation clustering, which is demonstrated by an additional social network example.},
	keywords = {Correlation clustering, Multicut, Perturb and MAP},
	isbn = {9783319184609},
	issn = {16113349},
	doi = {10.1007/978-3-319-18461-6_19},
	author = {Kappes, Jorg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Christoph Schn{\"o}rr}
}
@conference {Kappes2015a,
	title = {Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts},
	booktitle = {Proc. SSVM},
	series = {LNCS},
	year = {2015},
	publisher = {Springer},
	organization = {Springer},
	author = {Kappes, J. and Swoboda, P. and Savchynskyy, B. and Hazan , T. and Schn{\"o}rr, C.}
}
@conference {schiegg_15_proof-reading,
	title = {Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models},
	booktitle = {ISBI. Proceedings},
	year = {2015},
	note = {1},
	pages = {394-398},
	doi = {10.1109/ISBI.2015.7163895},
	author = {Schiegg, M. and Heuer, B. and Haubold, C. and Wolf, S. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@inbook {Kondermann-etal-2015-ACCV,
	title = {Stereo Ground Truth with Error Bars},
	booktitle = {Computer Vision {\textendash} ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V},
	year = {2015},
	pages = {595{\textendash}610},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {Creating stereo ground truth based on real images is a measurement task. Measurements are never perfectly accurate: the depth at each pixel follows an error distribution. A common way to estimate the quality of measurements are error bars. In this paper we describe a methodology to add error bars to images of previously scanned static scenes. The main challenge for stereo ground truth error estimates based on such data is the nonlinear matching of 2D images to 3D points. Our method uses 2D feature quality, 3D point and calibration accuracy as well as covariance matrices of bundle adjustments. We sample the reference data error which is the 3D depth distribution of each point projected into 3D image space. The disparity distribution at each pixel location is then estimated by projecting samples of the reference data error on the 2D image plane. An analytical Gaussian error propagation is used to validate the results. As proof of concept, we created ground truth of an image sequence with 100 frames. Results show that disparity accuracies well below one pixel can be achieved, albeit with much large errors at depth discontinuities mainly caused by uncertain estimates of the camera location.},
	isbn = {978-3-319-16814-2},
	doi = {10.1007/978-3-319-16814-2_39},
	url = {http://dx.doi.org/10.1007/978-3-319-16814-2_39},
	author = {Daniel Kondermann and Nair, Rahul and Stephan Meister and Wolfgang Mischler and G{\"u}ssefeld, Burkhard and Katrin Honauer and Sabine Hofmann and Brenner, Claus and Bernd J{\"a}hne}
}
@article {cali_15_three-dimensional,
	title = {Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues},
	journal = {Journal of Comparative Neurology},
	volume = {524},
	year = {2015},
	pages = {23-38},
	doi = {10.1002/cne.23852},
	author = {Cali, C. and Baghabra, J. and Boges, D. J. and Holst, G. R. and Anna Kreshuk and Fred A. Hamprecht and Srinivasan, M. and Lehv{\"a}slaiho, H. and Magistretti, P. J.}
}
@article {kauppi_15_towards,
	title = {Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals},
	journal = {NeuroImage},
	volume = {112},
	year = {2015},
	note = {1},
	pages = {288-298},
	doi = {10.1016/j.neuroimage.2014.12.079},
	author = {Kauppi, J .P. and Kandemir, M. and Saarinen, V .M. and Hirvenkari, L. and Parkkonen, L. and Klami, A. and Hari, R. and Kaski, S.}
}
@proceedings {kreshuk_15_who,
	title = {Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain},
	volume = {LNCS 9349},
	year = {2015},
	pages = {661-668},
	publisher = {Springer},
	doi = {10.1007/978-3-319-24553-9_81},
	author = {Anna Kreshuk and Funke, J. and A. Cardona and Fred A. Hamprecht}
}
@article {lou_14_active,
	title = {Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability},
	journal = {IEEE Transactions on Medical Imaging},
	volume = {33 (4)},
	year = {2014},
	pages = {849-860},
	doi = {10.1109/TMI.2013.2296937},
	author = {Lou, X. and Schiegg, M. and Fred A. Hamprecht}
}
@article {Horn2014,
	title = {Arriving at Z / f},
	year = {2014},
	pages = {1{\textendash}2},
	author = {Horn, Michael}
}
@conference {kroeger_14_asymmetric,
	title = {Asymmetric Cuts: Joint Image Labeling and Partitioning},
	booktitle = {Pattern Recognition - 36th German Conference, {GCPR} 2014, M{\"u}nster, Germany, September 2-5, 2014, Proceedings},
	year = {2014},
	doi = {10.1007/978-3-319-11752-2_16},
	url = {http://dx.doi.org/10.1007/978-3-319-11752-2_16},
	author = {Thorben Kr{\"o}ger and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Kroeger-2014,
	title = {Asymmetric Cuts: Joint Image Labeling and Partitioning},
	booktitle = {36th German Conference on Pattern Recognition},
	year = {2014},
	author = {Kr{\"o}ger, Thorben and Kappes, J{\"o}rg H. and Thorsten Beier and K{\"o}the, Ullrich and Fred A. Hamprecht}
}
@article {Wahl:Science:2014,
	title = {Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke},
	journal = {Science},
	volume = {344},
	number = {6189},
	year = {2014},
	pages = {1250--1255},
	publisher = {American Association for The Advancement of Science},
	url = {http://www.sciencemag.org/content/344/6189/1250},
	author = {Anna-Sophia Wahl and Omlor, W. and Rubio, J. C. and Chen, J. L. and Zheng, H. and Schr{\"o}ter, A. and Gullo, M. and Weinmann, O. and Kobayashi, K. and F. Helmchen and Bj{\"o}rn Ommer and M. E. Schwab}
}
@conference {tek_14_automated,
	title = {Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue},
	booktitle = {ISBI. Proceedings},
	year = {2014},
	note = {1},
	pages = {69-72},
	doi = {10.1109/ISBI.2014.6867811},
	author = {Tek, B. F. and Thorben Kr{\"o}ger and Mikula, S. and Fred A. Hamprecht}
}
@article {kreshuk_14_automated,
	title = {Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks},
	journal = {PLoS ONE},
	volume = {9},
	year = {2014},
	note = {1},
	pages = {2},
	doi = {10.1371/journal.pone.0087351},
	author = {Anna Kreshuk and Ullrich K{\"o}the and Pax, E. and Bock, D. D. and Fred A. Hamprecht}
}
@conference {zhang_14_cell,
	title = {Cell detection and segmentation using correlation clustering},
	booktitle = {MICCAI. Proceedings},
	number = {8673},
	year = {2014},
	note = {1},
	pages = {9-16},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10404-1_2},
	author = {Zhang, C. and Julian Yarkony and Fred A. Hamprecht}
}
@article {kappes_14_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems},
	journal = {CoRR},
	year = {2014},
	note = {1},
	url = {http://arxiv.org/abs/1404.0533},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Kim, S. and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, J. and Komodakis, N. and Savchynskyy, B. and Carsten Rother}
}
@article {kappes-1014-bench-arxiv,
	title = {A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems},
	journal = {CoRR},
	volume = {abs/1404.0533},
	year = {2014},
	url = {http://hci.iwr.uni-heidelberg.de/opengm2/},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Bernhard X. Kausler and Thorben Kr{\"o}ger and Lellmann, Jan and Komodakis, Nikos and Savchynskyy, Bogdan and Carsten Rother}
}
@article {kandemir_14_computer-aided,
	title = {Computer-aided diagnosis from weak supervision: A benchmarking study},
	journal = {Computerized Medical Imaging and Graphics},
	volume = {42},
	year = {2014},
	note = {1},
	pages = {44-50},
	doi = {10.1016/j.compmedimag.2014.11.010},
	author = {Kandemir, M. and Fred A. Hamprecht}
}
@conference {maierhein2014a,
	title = {Crowdsourcing for reference correspondence generation in endoscopic images},
	booktitle = {MICCAI},
	year = {2014},
	author = {Lena Maier-Hein and Sven Mersmann and Daniel Kondermann and C. Stock and Kenngott, H. and Sanchez, A. and Wagner, M. and Preukschas, A. and Wekerle, A. -L. and Helfert, S. and Bodenstedt, S. and Speidel, S.}
}
@conference {beier_14_cut,
	title = {Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning},
	booktitle = {2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014},
	year = {2014},
	doi = {10.1109/CVPR.2014.17},
	url = {http://dx.doi.org/10.1109/CVPR.2014.17},
	author = {Thorsten Beier and Thorben Kr{\"o}ger and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {decker_14_detecting,
	title = {Detecting individual body parts improves mouse behavior classification},
	booktitle = {Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings},
	year = {2014},
	note = {1},
	author = {Decker, C. and Fred A. Hamprecht}
}
@article {Eyjolfsdottir2014,
	title = {Detection of social actions in fruit flies},
	journal = {Lecture Notes in Computer Science},
	volume = {8690},
	number = {September 2014},
	year = {2014},
	pages = {772{\textendash}787},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {Spatio-temporal detection of actions and events in video is a challenging problem. Besides the difficulties related to recognition, a major challenge for detection in video is the size of the search space defined by spatio-temporal tubes formed by sequences of bounding boxes along the frames. Recently methods that generate unsupervised detection proposals have proven to be very effective for object detection in still images. These methods open the possibility to use strong but computationally expensive features since only a relatively small number of detection hypotheses need to be assessed. In this paper we make two contributions towards exploiting detection proposals for spatio-temporal detection problems. First, we extend a recent 2D object proposal method, to produce spatio-temporal proposals by a randomized supervoxel merging process. We introduce spatial, temporal, and spatio-temporal pairwise supervoxel features that are used to guide the merging process. Second, we propose a new efficient supervoxel method. We experimentally evaluate our detection proposals, in combination with our new supervoxel method as well as existing ones. This evaluation shows that our supervoxels lead to more accurate proposals when compared to using existing state-of-the-art supervoxel methods.},
	isbn = {978-3-319-10604-5},
	issn = {16113349},
	doi = {10.1007/978-3-319-10605-2},
	url = {http://link.springer.com/10.1007/978-3-319-10605-2 http://www.ncbi.nlm.nih.gov/pubmed/31629782},
	author = {Eyjolfsdottir, Eyrun and Branson, Steve and Burgos-Artizzu, Xavier P. and Hoopfer, Eric D. and Schor, Jonathan and Anderson, David J. and Perona, Pietro},
	editor = {Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne}
}
@article {kandemir_14_digital,
	title = {Digital Pathology: Multiple instance learning can detect Barrett{\textquoteright}scancer},
	year = {2014},
	pages = {1348-1351},
	doi = {10.1109/ISBI.2014.6868127},
	author = {Kandemir, M. and Feuchtinger, A. and Walch, A. and Fred A. Hamprecht}
}
@conference {kandemir_14_empowering,
	title = {Empowering multiple instance histopathology cancer diagnosis by cell graphs},
	booktitle = {MICCAI. Proceedings},
	volume = {8674},
	year = {2014},
	note = {1},
	pages = {228-235},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10470-6_29},
	author = {Kandemir, M. and Zhang, C. and Fred A. Hamprecht}
}
@conference {kandemir:MICCAI:2014,
	title = {Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention},
	year = {2014},
	pages = {154--161},
	publisher = {Springer},
	organization = {Springer},
	author = {Kandemir, M and Rubio, J. C. and Schmidt, U. and Wojek, C. and Welbl, J. and Bj{\"o}rn Ommer and Fred A. Hamprecht}
}
@conference {kandemir_14_event,
	title = {Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures},
	booktitle = {MICCAI. Proceedings},
	number = {8674},
	year = {2014},
	note = {1},
	pages = {154-161},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-10470-6_20},
	author = {Kandemir, M. and Rubio, J. C. and Schmidt, U. and Welbl, J. and Bj{\"o}rn Ommer and Fred A. Hamprecht}
}
@article {lindner_14_hexicon,
	title = {Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation},
	journal = {Journal of The American Society for Mass Spectrometry},
	volume = {25},
	year = {2014},
	note = {1},
	pages = {1018-1028},
	doi = {10.1007/s13361-014-0850-y},
	author = {Lindner, R. and Lou, X. and Reinstein, J. and Shoeman, R. L. and Fred A. Hamprecht and Winkler, A.}
}
@conference {Hornacek2014,
	title = {Highly overparameterized optical flow using PatchMatch belief propagation},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8691 LNCS},
	number = {PART 3},
	year = {2014},
	pages = {220{\textendash}234},
	abstract = {Motion in the image plane is ultimately a function of 3D motion in space. We propose to compute optical flow using what is ostensibly an extreme overparameterization: depth, surface normal, and frame-to-frame 3D rigid body motion at every pixel, giving a total of 9 DoF. The advantages of such an overparameterization are twofold: first, geometrically meaningful reasoning can be called upon in the optimization, reflecting possible 3D motion in the underlying scene; second, the {\textquoteright}fronto-parallel{\textquoteright} assumption implicit in the use of traditional matching pixel windows is ameliorated because the parameterization determines a plane-induced homography at every pixel. We show that optimization over this high-dimensional, continuous state space can be carried out using an adaptation of the recently introduced PatchMatch Belief Propagation (PMBP) energy minimization algorithm, and that the resulting flow fields compare favorably to the state of the art on a number of small- and large-displacement datasets. {\textcopyright} 2014 Springer International Publishing.},
	keywords = {9 DoF, large displacement, optical flow, PatchMatch, PMBP},
	isbn = {9783319105772},
	issn = {16113349},
	doi = {10.1007/978-3-319-10578-9_15},
	author = {Horn{\'a}{\v c}ek, Michael and Besse, Frederic and Kautz, Jan and Fitzgibbon, Andrew and Carsten Rother}
}
@conference {kleesiek_14_ilastik,
	title = {ilastik for Multi-modal Brain Tumor Segmentation},
	booktitle = {MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace},
	year = {2014},
	pages = {12-17},
	author = {Kleesiek, J. and A. Biller and Urban, G. and Ullrich K{\"o}the and M. Bendszus and Fred A. Hamprecht}
}
@conference {kandemir_14_instance,
	title = {Instance Label Prediction by Dirichlet Process Multiple Instance Learning},
	booktitle = {UAI. Proceedings},
	year = {2014},
	note = {1},
	author = {Kandemir, M. and Fred A. Hamprecht}
}
@conference {Hoai2014,
	title = {Learning discriminative localization from weakly labeled data},
	booktitle = {Pattern Recognition},
	volume = {47},
	number = {3},
	year = {2014},
	month = {mar},
	pages = {1523{\textendash}1534},
	abstract = {Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers are trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on time-consuming human labeling effectively limits the application of these methods to problems involving very few categories. Furthermore, the human selection of the masks introduces arbitrary biases (e.g., in terms of window size and location) which may be suboptimal for classification. We propose a novel method for learning a discriminative subwindow classifier from examples annotated with binary labels indicating the presence of an object or action of interest, but not its location. During training, our approach simultaneously localizes the instances of the positive class and learns a subwindow SVM to recognize them. We extend our method to classification of time series by presenting an algorithm that localizes the most discriminative set of temporal segments in the signal. We evaluate our approach on several datasets for object and action recognition and show that it achieves results similar and in many cases superior to those obtained with full supervision. {\textcopyright} 2013 Elsevier Ltd. All rights reserved.},
	keywords = {Discriminative discovery, Event detection, Image classification, Object detection, Time series classification, Weakly supervised learning},
	issn = {00313203},
	doi = {10.1016/j.patcog.2013.09.028},
	author = {Hoai, Minh and Torresani, Lorenzo and De La Torre, Fernando and Carsten Rother}
}
@article {mesarchaki2014a,
	title = {Measuring air-sea gas exchange velocities in a large scale annular wind-wave tank},
	journal = {Ocean Sci. Discuss.},
	volume = {11},
	year = {2014},
	pages = {1643--1689},
	doi = {10.5194/osd-11-1643-2014},
	author = {Evridiki Mesarchaki and Christine Kr{\"a}uter and Kerstin Ellen Krall and Maximilian Bopp and F. Helleis and Jonathan Williams and Bernd J{\"a}hne}
}
@conference {urban_14_multi-modal,
	title = {Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks},
	booktitle = {MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution},
	year = {2014},
	pages = {31-35},
	author = {Urban, G. and M. Bendszus and Fred A. Hamprecht and Kleesiek, J.}
}
@conference {straehle_14_multiple,
	title = {Multiple instance learning with response-optimized random forests},
	booktitle = {ICPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {3768 - 3773},
	doi = {10.1109/ICPR.2014.647},
	author = {Christoph N. Straehle and Kandemir, M. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {yarkony_14_parallel,
	title = {Parallel Multicut Segmentation via Dual Decomposition},
	booktitle = {New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers},
	year = {2014},
	doi = {10.1007/978-3-319-17876-9_4},
	url = {http://dx.doi.org/10.1007/978-3-319-17876-9_4},
	author = {Julian Yarkony and Thorsten Beier and Pierre Baldi and Fred A. Hamprecht}
}
@conference {esparza2014,
	title = {Registration of a multi-camera system with a 3D laser range finder},
	booktitle = {9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting},
	year = {2014},
	pages = {37--46},
	url = {http://www.uni-das.de/de/Veranstaltungen/fas2014.php},
	author = {Esparza, Jose and Vepa, Leo and Helmle, Michael and Bernd J{\"a}hne}
}
@article {He2014,
	title = {Robust Simulation of Small-Scale Thin Features in SPH-based Free Surface Flows},
	journal = {Life.Kunzhou.Net},
	volume = {1},
	number = {212},
	year = {2014},
	pages = {1{\textendash}8},
	abstract = {The control polygon of a Bezier curve is well-defined and meaningful{\textendash}-there is a sequence of weights under which the limiting position of the curve is the control polygon. For a Bezier surface patch, there are many possible polyhedral control structures, and none are canonical. We propose a not necessarily polyhedral control structure for surface patches, regular control surfaces, which are certain C\^0 spline surfaces. While not unique, regular control surfaces are exactly the possible limiting positions of a Bezier patch when the weights are allowed to vary, but the control points are fixed.},
	isbn = {0103660054},
	issn = {07300301},
	doi = {10.1145/XXXXXXX.YYYYYYY},
	url = {http://doi.acm.org/10.1145/XXXXXXX.YYYYYYY http://life.kunzhou.net/2013/SPHsurfacetension.pdf},
	author = {He, Xiaowei and Wang, H and Zhang, Fengjun and Wang, Guoping and Zhou, Kun}
}
@article {maco_14_semiautomated,
	title = {Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites},
	journal = {Nature Protocols},
	volume = {9},
	year = {2014},
	pages = {1354-1366},
	doi = {10.1038/nprot.2014.101},
	author = {Maco, B. and Cantoni, M. and Holtmaat, A. and Anna Kreshuk and Fred A. Hamprecht and G. W. Knott}
}
@conference {drory_14_semi-global,
	title = {Semi-Global Matching: A Principled Derivation in Terms of Message Passing},
	booktitle = {GCPR. Proceedings},
	number = {8753},
	year = {2014},
	note = {1},
	pages = {43-53},
	doi = {10.1007/978-3-319-11752-2_4},
	author = {Drory, A. and Haubold, C. and Avidan, S. and Fred A. Hamprecht}
}
@article {koethe_14_simplestorm,
	title = {SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy},
	journal = {Histochemistry and Cell Biology},
	volume = {141},
	year = {2014},
	note = {1},
	pages = {613-627},
	doi = {10.1007/s00418-014-1211-4},
	author = {Ullrich K{\"o}the and Herrmannsd{\"o}rfer, F. and Kats, I. and Fred A. Hamprecht}
}
@conference {diego_14_sparse,
	title = {Sparse Space-Time Deconvolution for Calcium Image Analysis},
	booktitle = {NIPS. Proceedings},
	year = {2014},
	note = {1},
	pages = {64-72},
	url = {http://papers.nips.cc/paper/5342-sparse-space-time-deconvolution-for-calcium-image-analysis},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {Hornacek2014a,
	title = {SphereFlow: 6 DoF scene flow from RGB-D pairs},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2014},
	pages = {3526{\textendash}3533},
	abstract = {We take a new approach to computing dense scene flow between a pair of consecutive RGB-D frames. We exploit the availability of depth data by seeking correspondences with respect to patches specified not as the pixels inside square windows, but as the 3D points that are the inliers of spheres in world space. Our primary contribution is to show that by reasoning in terms of such patches under 6 DoF rigid body motions in 3D, we succeed in obtaining compelling results at displacements large and small without relying on either of two simplifying assumptions that pervade much of the earlier literature: brightness constancy or local surface planarity. As a consequence of our approach, our output is a dense field of 3D rigid body motions, in contrast to the 3D translations that are the norm in scene flow. Reasoning in our manner additionally allows us to carry out occlusion handling using a 6 DoF consistency check for the flow computed in both directions and a patchwise silhouette check to help reason about alignments in occlusion areas, and to promote smoothness of the flow fields using an intuitive local rigidity prior. We carry out our optimization in two steps, obtaining a first correspondence field using an adaptation of PatchMatch, and subsequently using alpha-expansion to jointly handle occlusions and perform regularization. We show attractive flow results on challenging synthetic and real-world scenes that push the practical limits of the aforementioned assumptions.},
	isbn = {9781479951178},
	issn = {10636919},
	doi = {10.1109/CVPR.2014.451},
	author = {Horn{\'a}{\v c}ek, Michael and Fitzgibbon, Andrew and Carsten Rother}
}
@conference {kondermann2014,
	title = {Stereo ground truth with error bars},
	booktitle = {Asian Conference on Computer Vision, ACCV 2014},
	year = {2014},
	author = {Daniel Kondermann and Nair, Rahul and Stephan Meister and Wolfgang Mischler and G{\"u}ssefeld, Burkhard and Sabine Hofmann and Brenner, Claus and Bernd J{\"a}hne}
}
@incollection {lou_14_structured,
	title = {Structured Learning from Cheap Data},
	year = {2014},
	note = {1},
	publisher = {The MIT Press},
	author = {Lou, X. and Kloft, M. and R{\"a}tsch, G. and Fred A. Hamprecht},
	editor = {Nowozin, S. et al}
}
@conference {esparza2014c,
	title = {Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications},
	booktitle = {17th International Conference on Intelligent Transportation Systems (ITSC 2014)},
	year = {2014},
	author = {Esparza, Jose and Helmle, Michael and Bernd J{\"a}hne}
}
@conference {fiaschi_14_tracking,
	title = {Tracking indistinguishable translucent objects over time using weakly supervised structured learning},
	booktitle = {CVPR. Proceedings},
	year = {2014},
	note = {1},
	pages = {2736 - 2743},
	doi = {10.1109/CVPR.2014.356},
	author = {Fiaschi, L. and Ferran Diego and Karl-Heinz Grosser and Schiegg, M. and Ullrich K{\"o}the and Zlatic, M. and Fred A. Hamprecht}
}
@conference {lenor2014,
	title = {Tracking-based visibility estimation},
	booktitle = {Pattern Recognition, 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014},
	volume = {8753},
	year = {2014},
	pages = {365--376},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-11752-2_29},
	author = {Lenor, Stephan and Martini, Johannes and Bernd J{\"a}hne and Stopper, Ulrich and Weber, Stefan and Ohr, Florian},
	editor = {Jiang, Xiaoyi and Joachim Hornegger and Reinhard Koch}
}
@conference {esparaza2014a,
	title = {Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance},
	booktitle = {Pattern Recognition, 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014},
	volume = {8753},
	year = {2014},
	pages = {342--353},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-11752-2_27},
	author = {Esparza, Jose and Helmle, Michael and Bernd J{\"a}hne},
	editor = {Jiang, Xiaoyi and Joachim Hornegger and Reinhard Koch}
}
@conference {zhang_14_yeast,
	title = {Yeast Cell Detection and Segmentation in Bright Field Microscopy},
	booktitle = {ISBI. Proceedings},
	year = {2014},
	note = {1},
	pages = {1267-1270},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	doi = {10.1109/ISBI.2014.6868107},
	author = {Zhang, C. and Huber, F. and Knop, M. and Fred A. Hamprecht}
}
@incollection {jaehne2013c,
	title = {625 Jahre Ruperto Carola und 25 Jahre Bildverarbeitung},
	volume = {55},
	year = {2013},
	pages = {71--73},
	publisher = {Gesellschaft der Freunde Universit{\"a}t Heidelberg e. V.},
	isbn = {978-3-00-040060-5},
	url = {http://d-nb.info/1033237000},
	author = {Bernd J{\"a}hne},
	editor = {Hilgert, Markus and Wink, Michael}
}
@mastersthesis {hanslovsky_13_advanced,
	title = {Advanced Cell Tacking-by-Assignment},
	year = {2013},
	school = {University of Heidelberg},
	author = {Hanslovsky, P.}
}
@article {diego_13_automated,
	title = {Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning},
	journal = {ISBI 2013. Proceedings},
	number = {0236},
	year = {2013},
	note = {1},
	pages = {1058-1061},
	doi = {10.1109/ISBI.2013.6556660},
	author = {Ferran Diego and Reichinnek, S. and M. Both and Fred A. Hamprecht}
}
@article {mikut_13_automated,
	title = {Automated Processing of Zebrafish Imaging Data: A Survey},
	journal = {Zebrafish},
	volume = {10 (3)},
	year = {2013},
	doi = {10.1089/zeb.2013.0886},
	author = {Mikut, R. and Dickmeis, T. and Driever, W. and Geurts, P. and Fred A. Hamprecht and Bernhard X. Kausler and Ledesma-Carbayo, M. and Marée, R. and Mikula, K. and Pantazis, P. and Ronneberger, O. and Santos, A. and Stotzka, R.}
}
@conference {kappes_13_comparative,
	title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems},
	booktitle = {CVPR 2013. Proceedings},
	year = {2013},
	note = {1},
	doi = {10.1109/CVPR.2013.175},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, S. and Dhruv Batra and Sungwoong, K. and Bernhard X. Kausler and Lellmann, J. and Komodakis, N. and Carsten Rother}
}
@conference {Kappes-2013-benchmark,
	title = {A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem},
	booktitle = {CVPR},
	year = {2013},
	author = {J{\"o}rg H. Kappes and Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph Schn{\"o}rr and Nowozin, Sebastian and Dhruv Batra and Kim, Sungwoong and Bernhard X. Kausler and Lellmann, Jan and Komodakis, Nikos and Carsten Rother}
}
@conference {schiegg_13_conservation,
	title = {Conservation Tracking},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {2928--2935},
	doi = {10.1109/ICCV.2013.364},
	author = {Schiegg, M. and Hanslovsky, P. and Bernhard X. Kausler and Hufnagel, L. and Fred A. Hamprecht}
}
@article {maco_13_correlative,
	title = {Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons},
	journal = {PloS one},
	volume = {8 (2)},
	year = {2013},
	doi = {10.1371/journal.pone.0057405},
	author = {Maco, B. and Holtmaat, A. and Cantoni, M. and Anna Kreshuk and Christoph N. Straehle and Fred A. Hamprecht and G. W. Knott}
}
@conference {Hornacek2013,
	title = {Depth super resolution by rigid body self-similarity in 3D},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2013},
	pages = {1123{\textendash}1130},
	abstract = {We tackle the problem of jointly increasing the spatial resolution and apparent measurement accuracy of an input low-resolution, noisy, and perhaps heavily quantized depth map. In stark contrast to earlier work, we make no use of ancillary data like a color image at the target resolution, multiple aligned depth maps, or a database of high-resolution depth exemplars. Instead, we proceed by identifying and merging patch correspondences within the input depth map itself, exploiting patch wise scene self-similarity across depth such as repetition of geometric primitives or object symmetry. While the notion of {\textquoteright}single-image{\textquoteright} super resolution has successfully been applied in the context of color and intensity images, we are to our knowledge the first to present a tailored analogue for depth images. Rather than reason in terms of patches of 2D pixels as others have before us, our key contribution is to proceed by reasoning in terms of patches of 3D points, with matched patch pairs related by a respective 6 DoF rigid body motion in 3D. In support of obtaining a dense correspondence field in reasonable time, we introduce a new 3D variant of Patch Match. A third contribution is a simple, yet effective patch up scaling and merging technique, which predicts sharp object boundaries at the target resolution. We show that our results are highly competitive with those of alternative techniques leveraging even a color image at the target resolution or a database of high-resolution depth exemplars. {\textcopyright} 2013 IEEE.},
	keywords = {dense matching, depth super resolution, optimization},
	issn = {10636919},
	doi = {10.1109/CVPR.2013.149},
	author = {Horn{\'a}{\v c}ek, Michael and Rhemann, Christoph and Gelautz, Margrit and Carsten Rother}
}
@conference {haeusler_13_ensemble,
	title = {Ensemble Learning for Confidence Measures in Stereo Vision},
	booktitle = {CVPR 2013, in press},
	year = {2013},
	note = {1},
	pages = {305-312},
	doi = {10.1109/CVPR.2013.46},
	author = {Haeusler, R. and Nair, R. and Daniel Kondermann}
}
@article {Hosni2013,
	title = {Fast cost-volume filtering for visual correspondence and beyond},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {35},
	number = {2},
	year = {2013},
	pages = {504{\textendash}511},
	abstract = {Many computer vision tasks can be formulated as labeling problems. The desired solution is often a spatially smooth labeling where label transitions are aligned with color edges of the input image. We show that such solutions can be efficiently achieved by smoothing the label costs with a very fast edge-preserving filter. In this paper, we propose a generic and simple framework comprising three steps: 1) constructing a cost volume, 2) fast cost volume filtering, and 3) Winner-Takes-All label selection. Our main contribution is to show that with such a simple framework state-of-the-art results can be achieved for several computer vision applications. In particular, we achieve 1) disparity maps in real time whose quality exceeds those of all other fast (local) approaches on the Middlebury stereo benchmark, and 2) optical flow fields which contain very fine structures as well as large displacements. To demonstrate robustness, the few parameters of our framework are set to nearly identical values for both applications. Also, competitive results for interactive image segmentation are presented. With this work, we hope to inspire other researchers to leverage this framework to other application areas. {\textcopyright} 2012 IEEE.},
	keywords = {Interactive Image Segmentation, optical flow, Stereo Matching},
	issn = {01628828},
	doi = {10.1109/TPAMI.2012.156},
	author = {Hosni, Asmaa and Rhemann, Christoph and Bleyer, Michael and Carsten Rother and Gelautz, Margrit}
}
@mastersthesis {horn2013,
	title = {Hochaufgel{\"o}ste optische Wellenh{\"o}henmessung am Aeolotron mit Laser-induzierter Fluoreszenz},
	year = {2013},
	school = {Institut f{\"u}r Umwelphysik, Univerist{\"a}t Heidelberg, Germany},
	author = {Jason Horn}
}
@article {fiaschi_13_keeping,
	title = {Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects},
	journal = {ISBI 2013.Proceedings},
	year = {2013},
	note = {1},
	pages = {656-659},
	doi = {10.1109/ISBI.2013.6556560},
	author = {Fiaschi, L. and Karl-Heinz Grosser and Afonso, B. and Zlatic, M. and Fred A. Hamprecht}
}
@conference {straehle_13_ksmallest,
	title = {K-smallest Spanning Tree Segmentations},
	booktitle = {German Conference on Pattern Recognition (DAGM/GCPR). Proceedings},
	number = {8142},
	year = {2013},
	note = {1},
	pages = {375-384},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-40602-7_40},
	author = {Christoph N. Straehle and Peter, S. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {diego_13_learning2,
	title = {Learning Multi-Level Sparse Representation},
	booktitle = {NIPS. Proceedings},
	year = {2013},
	note = {1},
	url = {http://papers.nips.cc/paper/5076-learning-multi-level-sparse-representations},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {diego_13_learning,
	title = {Learning Multi-Level Sparse Representation for Identifying Neuronal Activity},
	booktitle = {Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts.},
	year = {2013},
	note = {1},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@conference {kroeger_13_learning,
	title = {Learning to Segment Neurons with Non-local Quality Measures},
	booktitle = {MICCAI 2013. Proceedings, part II},
	volume = {8150},
	year = {2013},
	note = {1},
	pages = {419-427},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-40763-5_52},
	author = {Thorben Kr{\"o}ger and Mikula, S. and Denk, W. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {becker_13_movie,
	title = {Movie Dimensionalization Via Sparse User Annotations},
	booktitle = {submitted to 3DTV-Con},
	year = {2013},
	note = {1},
	author = {Becker, M. and Baron, M. and Daniel Kondermann and Bussler, M. and Helzle, V.}
}
@mastersthesis {roeder_13_simplestorm,
	title = {SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy},
	year = {2013},
	school = {University of Heidelberg},
	author = {Herrmannsd{\"o}rfer, F.}
}
@conference {LNCS80810321,
	title = {Variational Image Segmentation and Cosegmentation with the Wasserstein Distance},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
	volume = {8081},
	year = {2013},
	pages = {321--334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-40394-1},
	author = {Swoboda, Paul and Christoph Schn{\"o}rr},
	editor = {Heyden, Anders and Kahl, Fredrik and Oskarsson, Magnus and Tai, Xue-Cheng and Olsson, Carl}
}
@conference {LNCS80810321,
	title = {Variational Image Segmentation and Cosegmentation with the Wasserstein Distance},
	booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition},
	series = {Lecture Notes in Computer Science},
	volume = {8081},
	year = {2013},
	pages = {321{\textendash}334},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-642-40394-1},
	author = {Paul Swoboda and Christoph Schn{\"o}rr},
	editor = {Anders Heyden and Fredrik Kahl and Carl Olsson and Magnus Oskarsson and Xue-Cheng Tai}
}
@conference {straehle_13_weakly,
	title = {Weakly supervised learning of image partitioning using decision trees with structured split criteria},
	booktitle = {ICCV 2013. Proceedings},
	year = {2013},
	note = {1},
	pages = {1849-1856},
	doi = {10.1109/ICCV.2013.232},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {marquez_13_when,
	title = {When is a confidence measure good enough?},
	journal = {submitted to CVPR 2013},
	year = {2013},
	note = {1},
	author = {Márquez-Valle, P. and Gil, D. and Hernàndez-Sabaté, A. and Daniel Kondermann}
}
@article {andres_11_3d,
	title = {3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries},
	journal = {Medical Image Analysis},
	volume = {16 (2012)},
	year = {2012},
	note = {1},
	pages = {796-805},
	doi = {10.1016/j.media.2011.11.004},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Helmstaedter, M. and K. L. Briggmann and Denk, W. and Fred A. Hamprecht}
}
@article {hanselmann_12_active,
	title = {Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images},
	journal = {Analytical Chemistry},
	volume = {85 (1)},
	year = {2012},
	note = {1},
	pages = {147-155},
	doi = {10.1021/ac3023313},
	author = {Hanselmann, M. and R{\"o}der, J. and Ullrich K{\"o}the and B. Y. Renard and Heeren, R. M. A. and Fred A. Hamprecht}
}
@article {roeder_12_active,
	title = {Active Learning with Distributional Estimates},
	journal = {UAI 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {715-725},
	author = {R{\"o}der, J. and Kunzmann, K. and Nadler, B. and Fred A. Hamprecht}
}
@article {zechmann_12_automated,
	title = {Automated vs. manual pattern recognition of 3D 1H MRSI data of patients with prostate cancer},
	journal = {Academic Radiology},
	volume = {19, 6},
	year = {2012},
	pages = {675-684},
	doi = {10.1016/j.acra.2012.02.014},
	author = {C. M. Zechmann and Bjoern H. Menze and B. Michael Kelm and Zamecnik, P. and Ikinger, U. and Waldherr, R. and Delorme, S. and Fred A. Hamprecht and Bachert, P.}
}
@conference {kausler_12_discrete,
	title = {A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness},
	booktitle = {ECCV 2012. Proceedings},
	volume = {7574},
	year = {2012},
	note = {1},
	pages = {144-157},
	doi = {10.1007/978-3-642-33712-3_11},
	author = {Bernhard X. Kausler and Schiegg, M. and Bj{\"o}rn Andres and Lindner, M. and Ullrich K{\"o}the and Leitte, H. and Wittbrodt, J. and Hufnagel, L. and Fred A. Hamprecht}
}
@article {funke_12_efficient,
	title = {Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data},
	journal = {CVPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {1004-1011},
	doi = {10.1109/CVPR.2012.6247777},
	author = {Funke, J. and Bj{\"o}rn Andres and Fred A. Hamprecht and A. Cardona and Cook, M.}
}
@conference {erz2012a,
	title = {Erweiterte Sch{\"a}rfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {1--12},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Wolfgang Mischler and Trein, Johannes and Zhuang Lin and Lay, Ralf and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {andres_12_globally,
	title = {Globally Optimal Closed-Surface Segmentation for Connectomics},
	booktitle = {ECCV 2012. Proceedings, Part 3},
	number = {7574},
	year = {2012},
	note = {1},
	pages = {778-791},
	doi = {10.1007/978-3-642-33712-3_56},
	author = {Bj{\"o}rn Andres and Thorben Kr{\"o}ger and K. L. Briggmann and Denk, W. and Norogod, N. and G. W. Knott and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@incollection {nair2012,
	title = {Ground truth for evaluating time of flight imaging},
	volume = {8200},
	year = {2012},
	pages = {52--74},
	publisher = {Springer},
	doi = {10.1007/978-3-642-44964-2_4},
	author = {Nair, Rahul and Stephan Meister and Lambers, Martin and Balda, Michael and Hofmann, Hannes and Andreas Kolb and Daniel Kondermann and Bernd J{\"a}hne}
}
@conference {andres_12_lazy,
	title = {The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models},
	booktitle = {Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}},
	year = {2012},
	doi = {10.1007/978-3-642-33786-4_12},
	url = {http://dx.doi.org/10.1007/978-3-642-33786-4_12},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres12,
	title = {The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models},
	booktitle = {ECCV 2012},
	year = {2012},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres12,
	title = {The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models},
	booktitle = {ECCV 2012},
	year = {2012},
	author = {Bj{\"o}rn Andres and J{\"o}rg Hendrik Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {fiaschi_12_learning,
	title = {Learning to Count with Regression Forest and Structured Labels},
	journal = {ICPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {2685-2688},
	author = {Fiaschi, L. and Nair, R. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {lou_12_learning,
	title = {Learning to Segment Dense Cell Nuclei with Shape Prior},
	journal = {CVPR 2012. Proceedings},
	number = {0213},
	year = {2012},
	note = {1},
	pages = {1012-1018},
	doi = {10.1109/CVPR.2012.6247778},
	author = {Lou, X. and Fred A. Hamprecht}
}
@article {sommer_12_learning-based,
	title = {Learning-based Mitotic Cell Detection in Histopathological Images},
	journal = {ICPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {2306-2309},
	author = {Christoph Sommer and Fiaschi, L. and Fred A. Hamprecht and Gerlich, D.}
}
@article {horvat_12_one,
	title = {One plus one makes three (for social networks)},
	journal = {PLoS ONE},
	volume = {4,7},
	year = {2012},
	doi = {10.1371/journal.pone.0034740},
	author = {Horvát, E.-Á. and Hanselmann, M. and Fred A. Hamprecht and K. A. Zweig}
}
@conference {atif2012,
	title = {Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {23--34},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Atif, Muhammad and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {erz2012,
	title = {Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {35--46},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {renard_12_overcoming,
	title = {Overcoming species boundaries in peptide identification with BICEPS},
	journal = {Molecular and Cellular Proteomics},
	volume = {11},
	year = {2012},
	doi = {10.1074/mcp.M111.014167},
	author = {B. Y. Renard and Xu, B. and Kirchner, M. and Zickmann, F. and Winter, D. and Korten, S. and Brattig, N. and Tzur, A. and Fred A. Hamprecht and Steen, H.}
}
@article {lou_12_quality,
	title = {Quality Classification of Microscopic Imagery with Weakly Supervised Learning},
	journal = {MICCAI-MLMI. Proceedings},
	year = {2012},
	note = {1},
	pages = {176-183},
	doi = {10.1007/978-3-642-35428-1_22},
	author = {Lou, X. and Fiaschi, L. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {geese2012a,
	title = {Scene based maximum likelihood PRNU and DSNU non uniformity correction},
	booktitle = {Forum Bildverarbeitung},
	year = {2012},
	pages = {71--82},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	doi = {10.5445/KSP/1000030440},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440},
	author = {Geese, Marc and Paul Ruhnau and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {straehle_12_seeded,
	title = {Seeded watershed cut uncertainty estimators for guided interactive segmentation},
	booktitle = {CVPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {765 - 772},
	doi = {10.1109/CVPR.2012.6247747},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Briggman, K. and Denk, W. and Fred A. Hamprecht}
}
@article {lou_12_structured,
	title = {Structured Learning from Partial Annotations},
	journal = {ICML 2012. Proceedings},
	year = {2012},
	note = {1},
	url = {http://icml.cc/discuss/2012/753.html},
	author = {Lou, X. and Fred A. Hamprecht}
}
@conference {meister_12_when,
	title = {When Can We Use KinectFusion for Ground Truth Acquisition?},
	booktitle = {Workshop on Color-Depth Camera Fusion in Robotics, IEEE International
Conference on Intelligent Robots and Systems},
	year = {2012},
	note = {1},
	author = {Stephan Meister and Izadi, S. and Kohli, P. and H{\"a}mmerle, M. and Carsten Rother and Daniel Kondermann}
}
@article {Meister2012,
	title = {When can we use KinectFusion for ground truth acquisition?},
	journal = {Proc Workshop on \ldots},
	year = {2012},
	pages = {3{\textendash}8},
	abstract = {Abstract{\textemdash}KinectFusion is a method for real-time capture of dense 3D geometry of the physical environment using a depth sensor. The system allows capture of a large dataset of 3D scene reconstructions at very low cost. In this paper we discuss the properties of the ...$\backslash$n},
	url = {http://meshlab.sourceforge.net/ http://www.msr-waypoint.net/en-us/um/people/pkohli/papers/mikhrk_iros_dataset_2012.pdf\%5Cnpapers3://publication/uuid/2615CF9D-C632-4E39-B1C4-B32A4A5D339C},
	author = {Meister, Stephan and Izadi, Shahram and Kohli, Pushmeet and M H{\"a}mmerle}
}
@article {horvat_12_you,
	title = {You Are Who Knows You: Predicting Links Between Non-Members of Facebook},
	journal = {European Conference on Complex Systems. Proceedings},
	volume = {3},
	year = {2012},
	note = {1},
	pages = {309-315},
	doi = {10.1007/978-3-319-00395-5_41},
	author = {Horvát, E.-Á. and Hanselmann, M. and Fred A. Hamprecht and K. A. Zweig}
}
@mastersthesis {horn2011,
	year = {2011},
	note = {started 15.05.2010},
	school = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Alexander Horn}
}
@article {kreshuk_11_automated2,
	title = {Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images},
	journal = {PLoS ONE},
	volume = {6 (10)},
	year = {2011},
	doi = {10.1371/journal.pone.0024899},
	author = {Anna Kreshuk and Christoph N. Straehle and Christoph Sommer and Ullrich K{\"o}the and Cantoni, M. and G. W. Knott and Fred A. Hamprecht}
}
@conference {kreshuk_11_automated,
	title = {Automated Segmentation of Synapses in 3D EM Data},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).
Proceedings},
	year = {2011},
	note = {1},
	pages = {220-223},
	doi = {10.1109/ISBI.2011.5872392},
	author = {Anna Kreshuk and Christoph N. Straehle and Christoph Sommer and Ullrich K{\"o}the and G. W. Knott and Fred A. Hamprecht}
}
@mastersthesis {heck2011,
	title = {Bildverarbeitendes Verfahren zur Detektion und Vermessung von Luftblasen an der Wasseroberfl{\"a}che eines Blasentanks},
	year = {2011},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Heiko Heck}
}
@conference {straehle_11_carving,
	title = {Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images},
	booktitle = {MICCAI 2011, Proceedings.},
	volume = {6891},
	year = {2011},
	note = {1},
	pages = {653-660},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23623-5_82},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and G. W. Knott and Fred A. Hamprecht}
}
@conference {kaster_11_comparative,
	title = {Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations},
	booktitle = {LNCS},
	volume = {LNCS 6533},
	year = {2011},
	note = {1},
	pages = {74-85},
	publisher = {Springer, Heidelberg},
	organization = {Springer, Heidelberg},
	doi = {10.1007/978-3-642-18421-5_8},
	author = {F. O. Kaster and M.-A. Weber and Fred A. Hamprecht},
	editor = {Bjoern H. Menze and Bjoern H. Menze and Langs, G. and Criminisi, A. and Tu, Z.}
}
@conference {lou_11_deltr,
	title = {DELTR: Digital Embryo Lineage Tree Reconstructor},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings},
	year = {2011},
	note = {1},
	pages = {1557-1560},
	doi = {10.1109/ISBI.2011.5872698},
	author = {Lou, X. and F. O. Kaster and Lindner, M. and Bernhard X. Kausler and Ullrich K{\"o}the and H{\"o}ckendorf, B. and Wittbrodt, J. and J{\"a}nicke, H. and Fred A. Hamprecht}
}
@mastersthesis {horn_11_entwicklung,
	title = {Entwicklung eines bildgebenden Systems zur Aufnahme 6-dimensionaler
Lichtfelder},
	year = {2011},
	school = {University of Heidelberg},
	author = {Alexander Horn}
}
@conference {wanner_11_framework,
	title = {A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	note = {1},
	pages = {199-206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Eisert, P. and Joachim Hornegger and Konrad Polthier}
}
@conference {wanner2011,
	title = {A framework for interactive visualization and classification of dynamical processes at the water surface},
	booktitle = {16th International Workshop on Vision, Modelling and Visualization},
	year = {2011},
	pages = {199--206},
	publisher = {Eurographics Association, Germany},
	organization = {Eurographics Association, Germany},
	doi = {10.2312/PE/VMV/VMV11/199-206},
	author = {Sven Wanner and Christoph Sommer and Roland Rocholz and Jung, M. and Fred A. Hamprecht and Bernd J{\"a}hne},
	editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier}
}
@article {roeder_11_gaussian,
	title = {Gaussian process classification: singly versus doubly stochastic models, and new computational schemes},
	journal = {Stochastic Environmental Research \& Risk Assessment},
	volume = {25 (7)},
	year = {2011},
	note = {1},
	pages = {865-879},
	doi = {10.1007/s00477-011-0498-0},
	author = {R{\"o}der, J. and Tolosana-Delgado, R. and Fred A. Hamprecht}
}
@conference {He2011,
	title = {A global sampling method for alpha matting},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2011},
	pages = {2049{\textendash}2056},
	abstract = {Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforward way to compute the alpha value is to sample some known foreground and background colors for each unknown pixel. Existing sampling-based matting methods often collect samples near the unknown pixels only. They fail if good samples cannot be found nearby. In this paper, we propose a global sampling method that uses all samples available in the image. Our global sample set avoids missing good samples. A simple but effective cost function is defined to tackle the ambiguity in the sample selection process. To handle the computational complexity introduced by the large number of samples, we pose the sampling task as a correspondence problem. The correspondence search is efficiently achieved by generalizing a randomized algorithm previously designed for patch matching[3]. A variety of experiments show that our global sampling method produces both visually and quantitatively high-quality matting results. {\textcopyright} 2011 IEEE.},
	isbn = {9781457703942},
	issn = {10636919},
	doi = {10.1109/CVPR.2011.5995495},
	author = {He, Kaiming and Rhemann, Christoph and Carsten Rother and Tang, Xiaoou and Sun, Jian}
}
@conference {friedl_2011,
	title = {Hochaufl{\"o}sende raumzeitliche Messung von fl{\"u}ssigkeitsseitigen Konzentrationsfeldern an der wind- und wellenbewegten Wasseroberfl{\"a}che},
	booktitle = {DPG Fr{\"u}hjahrstagung Dresden},
	year = {2011},
	abstract = {Konzentrationsprofile in der 20 bis 200 {\textmu}m dicken Massengrenzschicht innerhalb der wasserseitigen viskosen Grenzschicht an einer wind- und wellenbewegten, freien Wasseroberfl{\"a}che konnten bisher nicht gemessen werden. Alle bisherigen Messungen wurden an ebenen Wasseroberfl{\"a}chen in Tanks mit bodeninduzierter Turbulenz durchgef{\"u}hrt. Die erstmalige Messung vertikaler Konzentrationsprofile mit einer Aufl{\"o}sung von 11.4 {\textmu}m und einer Bildfrequenz von 973 Hz ist durch Verwendung der Laser induzierten Phosphoreszenz gelungen. Der dabei verwendete Farbstoff ist ein neuer, lichtempfindlicher Ruthenium Komplex, dessen Quenchkonstante den 17-fachen Wert im Vergleich zu der bisher benutzen Pyrenbutters{\"a}ure (PBA) besitzt. Zur Anregung der Phosphoreszenz wird ein auf unter 150 {\textmu}m fokussierter Laser mit einer Wellenl{\"a}nge von 445nm verwendet. Der Scheimpflugaufbau mit schr{\"a}gen Kanalw{\"a}nden des linearen Wind-Wellen-Kanals erm{\"o}glicht die Beobachtung wasserseitiger Konzentrationsprofile auch bei wellenbewegter Wasseroberfl{\"a}che. Im n{\"a}chsten Schritt werden zeitaufgel{\"o}ste, zweidimensionale Konzentrationsfelder quer zur Windrichtung aufgenommen. Erste Tests zeigen vielversprechende Ergebnisse.},
	url = {http://www.dpg-verhandlungen.de/year/2011/conference/dresden/part/up/session/5/contribution/3},
	author = {Felix Friedl and Alexandra G. Herzog and Pius Warken and Bernd J{\"a}hne}
}
@conference {sommer_11_ilastik,
	title = {ilastik: Interactive Learning and Segmentation Toolkit},
	booktitle = {Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings},
	year = {2011},
	note = {1},
	pages = {230-233},
	doi = {10.1109/ISBI.2011.5872394},
	author = {Christoph Sommer and Christoph N. Straehle and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {frank_11_image-based,
	title = {Image-Based Supervision of a Periodically Working Machine},
	journal = {Pattern Analysis and Applications},
	year = {2011},
	note = {1},
	pages = {1-10},
	doi = {10.1007/s10044-011-0245-7},
	author = {Mario Frank and Fred A. Hamprecht}
}
@article {kaster_11_object-oriented,
	title = {An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements},
	journal = {Computer Science - Research and Development},
	volume = {26},
	year = {2011},
	note = {1},
	pages = {65-85},
	doi = {10.1007/s00450-010-0143-z},
	author = {F. O. Kaster and Merkel, B. and Nix, O. and Fred A. Hamprecht}
}
@conference {menze_11_on,
	title = {On oblique random forests},
	booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings.},
	year = {2011},
	note = {1},
	pages = {453-469},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-23783-6_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Splitthoff, N. and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {andres_11_probabilistic,
	title = {Probabilistic Image Segmentation with Closedness Constraints},
	booktitle = {ICCV, Proceedings},
	year = {2011},
	note = {1},
	pages = {2611 - 2618},
	doi = {10.1109/ICCV.2011.6126550},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres11,
	title = {Probabilistic Image Segmentation with Closedness Constraints},
	booktitle = {Proceedings of ICCV},
	year = {2011},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@conference {Andres11,
	title = {Probabilistic Image Segmentation with Closedness Constraints},
	booktitle = {Proceedings of ICCV},
	year = {2011},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Thorsten Beier and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {hanselmann_11_sima,
	title = {SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists},
	journal = {Bioinformatics},
	volume = {27 (7)},
	year = {2011},
	note = {1},
	pages = {987-993},
	doi = {10.1093/bioinformatics/btr051},
	author = {Hanselmann, M. and Bj{\"o}rn Voss and B. Y. Renard and Lindner, M. and Ullrich K{\"o}the and Kirchner, M. and Fred A. Hamprecht}
}
@conference {lou_11_structured,
	title = {Structured Learning for Cell Tracking},
	booktitle = {NIPS 2011. Proceedings},
	year = {2011},
	note = {1},
	pages = {1296-1304},
	author = {Lou, X. and Fred A. Hamprecht},
	editor = {Shawe-Taylor, J. and Zemel, R.S. and Pereira, F.C.N. and Weinberger, K.Q. and Bartlett, P.}
}
@conference {maier-hein2011,
	title = {Towards mobile augmented reality for on-patient visualization of medical images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin (2011)},
	year = {2011},
	pages = {389--393},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Despite considerable technical and algorithmic developments related to the fields of medical image acquisition and processing in the past decade, the devices used for visualization of medical images have undergone rather minor changes. As anatomical information is typically shown on monitors provided by a radiological work station, the physician has to mentally transfer internal structures shown on the screen to the patient. In this work, we present a new approach to on-patient visualization of 3D medical images, which combines the concept of augmented reality (AR) with an intuitive interaction scheme. The method requires mounting a Time-of-Flight (ToF) camera to a portable display (e.g., a tablet PC). During the visualization process, the pose of the camera and thus the viewing direction of the user is continuously determined with a surface matching algorithm. By moving the device along the body of the patient, the physician gets the impression of being able to look directly into the human body. The concept can be used for intervention planning, anatomy teaching and various other applications that require intuitive visualization of 3D data.},
	doi = {10.1007/978-3-642-19335-4_80},
	author = {Lena Maier-Hein and A. M. Franz and M. Fangerau and Schmidt, Mirko and Alexander Seitel and Sven Mersmann and T. Kilgus and A. Groch and K. Yung and Thiago R. dos Santos and Hans-Peter Meinzer},
	editor = {H. Handels and J. Ehrhardt and Hans-Peter Meinzer and T. Tolxdorff and T. M. Deserno}
}
@article {kelm_11_using,
	title = {Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images},
	journal = {NMR in Biomedicine},
	volume = {25(1)},
	year = {2011},
	note = {1},
	pages = {1-13},
	doi = {10.1002/nbm.1704},
	author = {B. Michael Kelm and F. O. Kaster and Henning, A. and M.-A. Weber and Bachert, P. and B{\"o}singer, P. and Fred A. Hamprecht and Bjoern H. Menze}
}
@article {pfannmoeller_11_visualizing,
	title = {Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy},
	journal = {Nano Letters},
	volume = {11},
	year = {2011},
	pages = {3099-3107},
	doi = {10.1021/nl201078t},
	author = {Pfannm{\"o}ller, M. and Fl{\"u}gge, H. and Benner, G. and Wacker, I. and Christoph Sommer and Hanselmann, M. and Schmale, S. and Schmidt, H. and Fred A. Hamprecht and Rabe, T. and Kowalsky, W. and Schr{\"o}der, R.}
}
@conference {haug2010a,
	title = {6 DoF appearance-based object localization with local covariant features},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {13--24},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Florian Haug and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@mastersthesis {huesken_10_active,
	title = {Active and Online Learning for Interactive Image Analysis},
	year = {2010},
	school = {University of Heidelberg},
	author = {H{\"u}sken, N.}
}
@phdthesis {haug2010,
	title = {Ansichtsbasierte 6 DoF Objekterkennung mit lokalen kovarianten Regionen},
	volume = {Dissertation},
	year = {2010},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	doi = {10.11588/heidok.00011428},
	author = {Florian Haug}
}
@article {kreshuk_10_automated,
	title = {Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon},
	journal = {International Journal of Mass Spectrometry},
	volume = {302},
	year = {2010},
	note = {1},
	pages = {125-131},
	doi = {10.1016/j.ijms.2010.08.025},
	author = {Anna Kreshuk and Stankiewicz, M. and Lou, X. and Kirchner, M. and Fred A. Hamprecht and Mayer, M. P.}
}
@phdthesis {hoernlein2010,
	title = {Boosted Feature Generation for Classification Problems Involving High Numbers of Inputs and Classes},
	volume = {Dissertation},
	year = {2010},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ. Heidelberg},
	abstract = {Classification problems involving high numbers of inputs and classes play an important role in the field of machine learning. Image classification, in particular, is a very active field of research with numerous applications. In addition to their high number, inputs of image classification problems often show significant correlation. Also, in proportion to the number of inputs, the number of available training samples is usually low. Therefore techniques combining low susceptibility to overfitting with good classification performance have to be found. Since for many tasks data has to be processed in real time, computational efficiency is crucial as well. Boosting is a machine learning technique, which is used successfully in a number of application areas, in particular in the field of machine vision. Due to it{\textquoteright}s modular design and flexibility, Boosting can be adapted to new problems easily. In addition, techniques for optimizing classifiers produced by Boosting with respect to computational efficiency exist. Boosting builds linear ensembles of base classifiers in a stage-wise fashion. Sample-weights reflect whether training samples are hard-to-classify or not. Therefore Boosting is able to adapt to the given classification problem over the course of training. The present work deals with the design of techniques for adapting Boosting to problems involving high numbers of inputs and classes. In the first part, application of Boosting to multi-class problems is analyzed. After giving an overview of existing approaches, a new formulation for base-classifiers solving multi-class problems by splitting them into pair-wise binary subproblems is presented. Experimental evaluation shows the good performance and computational efficiency of the proposed technique compared to state-of-the-art techniques. In the second part of the work, techniques that use Boosting for feature generation are presented. These techniques use the distribution of sample weights, produced by Boosting, to learn features that are adapted to the problems solved in each Boosting stage. By using smoothing-spline base classifiers, gradient descent schemes can be incorporated to find features that minimize the cost function of the current base classifier. Experimental evaluation shows, that Boosting with linear projective features significantly outperforms state-of-the-art approaches like e.g. SVM and Random Forests. In order to be applicable to image classification problems, the presented feature generation scheme is extended to produce shift-invariant features. The utilized features are inspired by the features used in Convolutional Neural Networks and perform a combination of convolution and subsampling. Experimental evaluation for classification of handwritten digits and car side-views shows that the proposed system is competitive to the best published results. The presented scheme has the advantages of being very simple and involving a low number of design parameters only.},
	doi = {10.11588/heidok.00010999},
	author = {Thomas H{\"o}rnlein}
}
@phdthesis {hanselmann_10_computational,
	title = {Computational Methods for the Analysis of Mass Spectrometry Images},
	year = {2010},
	note = {1},
	publisher = {University of Heidelberg},
	author = {Hanselmann, M.}
}
@article {kirchner_10_computational,
	title = {Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments},
	journal = {Bioinformatics},
	volume = {26 (1)},
	year = {2010},
	note = {1},
	pages = {77-83},
	doi = {10.1093/bioinformatics/btp607},
	author = {Kirchner, M. and B. Y. Renard and Ullrich K{\"o}the and Pappin, D. J. and Fred A. Hamprecht and Judith A. J. Steen and Steen, H.}
}
@article {lou_10_deuteration,
	title = {Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments},
	journal = {Bioinformatics},
	volume = {26(12)},
	year = {2010},
	note = {1},
	pages = {1535-1541},
	doi = {10.1093/bioinformatics/btq165},
	author = {Lou, X. and Kirchner, M. and B. Y. Renard and Ullrich K{\"o}the and Graf, C. and Lee, C. and Judith A. J. Steen and Steen, H. and Mayer, M. P. and Fred A. Hamprecht}
}
@conference {andres_10_empirical,
	title = {An Empirical Comparison of Inference Algorithms for Graphical Models
with Higher Order Factors Using OpenGM},
	booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
	number = {6376},
	year = {2010},
	note = {1},
	pages = {353-362},
	doi = {10.1007/978-3-642-15986-2_36},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@conference {Kappes-DAGM2010,
	title = {An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM},
	booktitle = {Pattern Recognition, Proc.~32th DAGM Symposium},
	year = {2010},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Christoph Schn{\"o}rr and Fred A. Hamprecht}
}
@article {renard_10_estimating,
	title = {Estimating the Confidence of Peptide Identifications without Decoy Databases},
	journal = {Analytical Chemistry},
	year = {2010},
	note = {1},
	pages = {4314-4318},
	doi = {10.1021/ac902892j},
	author = {B. Y. Renard and Timm, W. and Kirchner, M. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {herzog2010c,
	title = {Estimating water-sided vertical gas concentration profiles by inverse modeling},
	booktitle = {2nd Int. Conf. Eng. Optimization, Lisbon, 6--9. Sep. 2010},
	year = {2010},
	author = {Alexandra G. Herzog and T. Binder and Felix Friedl and Bernd J{\"a}hne}
}
@article {boerner_10_from,
	title = {From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication},
	journal = {Biotechnology Journal},
	volume = {5},
	year = {2010},
	note = {1},
	pages = {39-49},
	doi = {10.1002/biot.200900226},
	author = {B{\"o}rner, K. and Hermle, J. and Christoph Sommer and Brown, N. P. and Knapp, B. and Glass, B. and Torralba, G. and Reymann, J. and Beil, N. and Beneke, J. and Pepperkok, R. and Schneider, R. and Ludwig, T.}
}
@conference {koethe_10_geometric,
	title = {Geometric Analysis of 3D Electron Microscopy Data},
	booktitle = {Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM)},
	year = {2010},
	note = {1},
	pages = {22-26},
	author = {Ullrich K{\"o}the and Bj{\"o}rn Andres and Thorben Kr{\"o}ger and Fred A. Hamprecht},
	editor = {Ullrich K{\"o}the and Montanvert, A. and Soille, P.}
}
@article {andres_10_how,
	title = {How to Extract the Geometry and Topology from Very Large 3D Segmentations},
	journal = {ArXiv e-prints},
	year = {2010},
	note = {1},
	url = {http://arxiv.org/abs/1009.6215},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Fred A. Hamprecht}
}
@phdthesis {herzog2010b,
	title = {Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface},
	volume = {Dissertation},
	year = {2010},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. Heidelberg},
	doi = {10.11588/heidok.00011220},
	author = {Alexandra G. Herzog}
}
@article {andres_10_lazy,
	title = {The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search},
	journal = {ArXiv e-prints},
	year = {2010},
	note = {1},
	url = {http://arxiv.org/abs/1009.4102},
	author = {Bj{\"o}rn Andres and J{\"o}rg H. Kappes and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@article {kirchner_10_mgfp,
	title = {MGFp: An Open Mascot Generic Format Parser Library Implementation},
	journal = {Journal of Proteome Research},
	volume = {9 (5)},
	year = {2010},
	pages = {27622763},
	doi = {10.1021/pr100118f},
	author = {Kirchner, M. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@article {menze_11_multimodal,
	title = {Multimodal Medical Image Analysis: from Visualization to Disease Modeling},
	journal = {Zeitschrift f{\"u}r Med. Physik},
	volume = {1},
	year = {2010},
	pages = {1-2},
	doi = {10.1016/j.zemedi.2010.12.002},
	author = {Bjoern H. Menze and Fred A. Hamprecht}
}
@conference {voss2010,
	title = {A new approach for 3C3D measurements of aqueous boundary layer flows relative to the wind-wave undulated interface},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {poster},
	doi = {10.5281/zenodo.14930},
	author = {Bj{\"o}rn Voss and Alexander Heinlein and Bernd J{\"a}hne and Christoph S. Garbe}
}
@conference {kaster_10_object-oriented,
	title = {An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2010 -- Algorithmen, Systeme, Anwendungen},
	year = {2010},
	note = {1},
	pages = {97-101},
	publisher = {Springer},
	organization = {Springer},
	author = {F. O. Kaster and Kassemeyer, S. and Merkel, B. and Nix, O. and Fred A. Hamprecht},
	editor = {T. M. Deserno and H. Handels and T. Tolxdorff and Hans-Peter Meinzer}
}
@conference {jehle_10_optimal,
	title = {Optimal Lighting for Defect Detection: Illumination Systems, Machine
Learning, and Practical Verification},
	booktitle = {Forum Bildverarbeitung, Regensburg, 02.-03.12.2010},
	year = {2010},
	note = {1},
	pages = {301-312},
	publisher = {KIT SCientific Publishing},
	organization = {KIT SCientific Publishing},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and Heinzmann, M.}
}
@conference {jehle2010a,
	title = {Optimal lighting for defect detection: illumination systems, machine learning, and practical verification},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {241--252},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@conference {erz2010,
	title = {Optimierte Kameraauswahl f{\"u}r maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {155--166},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Michael Erz and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@article {andres_10_runtime,
	title = {Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x},
	journal = {ArXiv e-prints},
	year = {2010},
	note = {1},
	url = {http://arxiv.org/abs/1008.2909v1},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Thorben Kr{\"o}ger and Fred A. Hamprecht}
}
@conference {herzog2010a,
	title = {Simultaneous high-resolution LIF measurements of dissolved gas concentration fields and measurements of wave slope at a wavy free water surface with wind-induced turbulence},
	booktitle = {15h Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 05--08, 2010},
	year = {2010},
	doi = {10.5281/zenodo.15132},
	author = {Alexandra G. Herzog and Felix Friedl and Bernd J{\"a}hne}
}
@conference {herzog2010,
	title = {Spatio-temporal fluctuations of water-sided gas concentration fields under wind-induced turbulence},
	booktitle = {6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010},
	year = {2010},
	note = {abstract},
	doi = {10.5281/zenodo.14929},
	author = {Alexandra G. Herzog and Felix Friedl and Bernd J{\"a}hne}
}
@article {rathke2010structrank,
	title = {StructRank: A new approach for ligand-based virtual screening},
	journal = {J. Chem. Inf. Model.},
	volume = {51},
	year = {2010},
	pages = {83{\textendash}92},
	doi = {http://dx.doi.org/10.1021/ci100308f},
	author = {Rathke, Fabian and Hansen, Katja and Brefeld, Ulf and M{\"u}ller, Klaus-Robert}
}
@conference {Glocker2010,
	title = {TriangleFlow: Optical flow with triangulation-based higher-order likelihoods},
	booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6313 LNCS},
	number = {PART 3},
	year = {2010},
	pages = {272{\textendash}285},
	abstract = {We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photo-consistency cost and a prior on affine motions both modeled in terms of higher-order potential functions. Reasoning jointly over a large set of unknown variables provides more reliable motion estimates and a robust matching criterion. One of the main contributions is that unlike previous region-based methods, we omit the assumption of constant flow. Instead, we consider local affine warps whose likelihood energy can be computed exactly without approximations. This results in a tractable, so-called, higher-order likelihood function. We realize this idea by employing triangulation meshes which immensely reduce the complexity of the problem. Optimization is performed by hierarchical fusion moves and an adaptive mesh refinement strategy. Experiments show that we achieve high-quality motion fields on several data sets including the Middlebury optical flow database. {\textcopyright} 2010 Springer-Verlag.},
	isbn = {364215557X},
	issn = {16113349},
	doi = {10.1007/978-3-642-15558-1_20},
	url = {http://vision.middlebury.edu/flow/},
	author = {Glocker, Ben and Heibel, T. Hauke and Navab, Nassir and Kohli, Pushmeet and Carsten Rother}
}
@article {Heitz-et-al-09,
	title = {Variational fluid flow measurements from image sequences: synopsis and perspectives},
	journal = {Exp.~Fluids},
	volume = {48},
	number = {3},
	year = {2010},
	note = {DOI 10.1007/s00348-009-0778-3},
	pages = {369-393},
	author = {Heitz, D. and M{\'e}min, E. and Christoph Schn{\"o}rr}
}
@article {Heitz-et-al-09,
	title = {Variational fluid flow measurements from image sequences: synopsis and perspectives},
	journal = {Exp. Fluids},
	volume = {48},
	number = {3},
	year = {2010},
	note = {DOI 10.1007/s00348-009-0778-3},
	pages = {369-393},
	author = {Heitz, D. and M{\'e}min, E. and Schn{\"o}rr, C.}
}
@article {goerlitz_09_allocation,
	title = {Allocation of particles to development processes},
	journal = {Patent},
	year = {2009},
	author = {G{\"o}rlitz, L. and Fred A. Hamprecht and Staudacher, M.}
}
@article {hayn_09_analysing,
	title = {Analysing spatio-temporal patterns of the global NO<SUB>2</SUB>-distribution retrieved frome GOME satellite observations using a generalized additive model},
	journal = {Atmospheric Chemistry and Physics},
	volume = {9},
	number = {17},
	year = {2009},
	note = {1},
	pages = {9367-9398},
	doi = {10.5194/acp-9-6459-2009},
	author = {Hayn, M. and S. Beirle and Fred A. Hamprecht and Ulrich Platt and Bjoern H. Menze and T. Wagner}
}
@article {jaeger_09_analysis,
	title = {Analysis of Single-Molecule Fluorescence Spectroscopic Data with a Markov Modulated Poisson Process},
	journal = {ChemPhysChem},
	volume = {10:14},
	year = {2009},
	note = {1},
	pages = {2486-2495},
	doi = {10.1002/cphc.200900331},
	author = {J{\"a}ger, M. and Kiel, A. and Herten, D.-P. and Fred A. Hamprecht}
}
@article {hansen2009bias,
	title = {Bias-correction of regression models: a case study on hERG inhibition},
	journal = {J. Chem. Inf. Model.},
	volume = {49},
	year = {2009},
	pages = {1486{\textendash}1496},
	doi = {http://dx.doi.org/10.1021/ci9000794},
	author = {Hansen, Katja and Rathke, Fabian and Schroeter, Timon and Rast, Georg and Fox, Thomas and Kriegl, Jan M and Mika, Sebastian}
}
@conference {hoernlein2009,
	title = {Boosting shift-invariant features},
	booktitle = {Pattern Recognition},
	volume = {5748},
	year = {2009},
	pages = {121--130},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This work presents a novel method for training shift-invariant features using a Boosting framework. Features performing local convolutions followed by subsampling are used to achieve shift-invariance. Other systems using this type of features, e.g. Convolutional Neural Networks, use complex feed-forward networks with multiple layers. In contrast, the proposed system adds features one at a time using smoothing spline base classifiers. Feature training optimizes base classifier costs. Boosting sample-reweighting ensures features to be both descriptive and independent. Our system has a lower number of design parameters as comparable systems, so adapting the system to new problems is simple. Also, the stage-wise training makes it very scalable. Experimental results show the competitiveness of our approach.},
	doi = {10.1007/978-3-642-03798-6_13},
	author = {Thomas H{\"o}rnlein and Bernd J{\"a}hne and Herbert S{\"u}{\ss}e},
	editor = {Joachim Denzler and Gunther Notni}
}
@conference {kaster_09_classification,
	title = {Classification of Spectroscopic Images in the DIROlab Environment},
	booktitle = {World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany},
	volume = {25/V},
	number = {25050252},
	year = {2009},
	pages = {252--255},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03904-1_70},
	author = {F. O. Kaster and B. Michael Kelm and C. M. Zechmann and M.-A. Weber and Fred A. Hamprecht and Nix, O.},
	editor = {D{\"o}ssel, Olaf and Schlegel, Wolfgang C.}
}
@article {menze_09_comparison,
	title = {A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data},
	journal = {BMC Bioinformatics},
	volume = {10:213},
	year = {2009},
	note = {1},
	doi = {10.1186/1471-2105-10-213},
	author = {Bjoern H. Menze and B. Michael Kelm and Masuch, R. and Himmelreich, U. and Bachert, P. and Petrich, W. and Fred A. Hamprecht}
}
@conference {keraenen:2009,
	title = {Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species},
	booktitle = {Evolution-The Molecular Landscape},
	year = {2009},
	author = {Ker{\"a}nen, S. V. E. and DePace, A. and Luengo Hendriks, C. L. and Fowlkes, C. and Arbelaez, P. and Bj{\"o}rn Ommer and Brox, T. and Henriquez, C. and Wunderlich, Z. and Eckenrode, K. and B. Fischer and Hammonds, A. and Celniker, S. E.}
}
@article {hering2009,
	title = {Correlated speckle noise in white-light interferometry: theoretical analysis of measurement uncertainty},
	journal = {Appl. Optics},
	volume = {48},
	year = {2009},
	pages = {525--538},
	abstract = {The partial coherent illumination of the specimen, which is required for white-light interferometric measurements of optically rough surfaces, directly leads to speckle. The electric field of such speckle patterns strongly fluctuates in amplitude and phase. This spatially correlated noise influences the accuracy of the measuring device. Although a variety of noise sources in white-light interferometry has been studied in recent years, they do not account for spatial correlation and, hence, they cannot be applied to speckle noise. Thus, we derive a new model enabling quantitative predictions for measurement uncertainty caused by speckle. The model reveals that the accuracy can be attributed mainly to the degree of spatial correlation, i.e., the average size of a speckle, and to the coherence length of the light source. The same parameters define the signal-to-noise ratio in the spectral domain. The model helps to design filter functions that are perfectly adapted to the noise characteristics of the respective device, thus improving the accuracy of postprocessing algorithms for envelope detection. The derived expressions are also compared to numerical simulations and experimental data of two different types of interferometers. These results are a first validation of the theoretical considerations of this article.},
	doi = {10.1364/AO.48.000525},
	author = {Marco Hering and Klaus K{\"o}rner and Bernd J{\"a}hne}
}
@article {frank_09_denoising,
	title = {Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures},
	journal = {Optical Engineering},
	volume = {48, 077003},
	year = {2009},
	note = {1},
	doi = {10.1117/1.3159869},
	author = {Mario Frank and Matthias Plaue and Fred A. Hamprecht}
}
@article {kelm_09_estimating,
	title = {Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge},
	journal = {IEEE Transaction on Medical Imaging},
	volume = {28:10},
	year = {2009},
	note = {1},
	pages = {1534-1547},
	doi = {10.1109/TMI.2009.2019957},
	author = {B. Michael Kelm and Bjoern H. Menze and Nix, O. and C. M. Zechmann and Fred A. Hamprecht}
}
@article {thieke_09_framework,
	title = {A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy},
	journal = {Strahlentherapie und Onkologie},
	volume = {185},
	number = {Suppl. 1},
	year = {2009},
	pages = {81},
	author = {Thieke, C. and Nix, O. and Koehn, A. and Floca, R. and van Straaten, D. and Hahn, H. and Strauss, L. G. and Siems, U. and Graf, M. and Pruem, H. and Klein, J. and Laue, H. and F. O. Kaster}
}
@conference {hanselmann_09_multivariate,
	title = {Multivariate Watershed Segmentation of Compositional Data},
	booktitle = {Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press},
	volume = {5810},
	year = {2009},
	note = {1},
	pages = {180-192},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-04397-0},
	author = {Hanselmann, M. and Ullrich K{\"o}the and B. Y. Renard and Kirchner, M. and Heeren, R. M. A. and Fred A. Hamprecht}
}
@article {trittler_09_near-optimum,
	title = {Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation},
	journal = {Digital Signal Processing},
	volume = {19},
	year = {2009},
	note = {1},
	pages = {628-639},
	doi = {10.1016/j.dsp.2008.10.003},
	author = {Trittler, S. and Fred A. Hamprecht}
}
@article {goerlitz_09_processing,
	title = {Processing Spectral Data},
	journal = {Surface and Interface Analysis},
	volume = {41},
	year = {2009},
	note = {1},
	pages = {636-644},
	doi = {10.1002/sia.3066},
	author = {G{\"o}rlitz, L. and Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht}
}
@conference {andres_09_quantitative,
	title = {Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times},
	booktitle = {Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings},
	volume = {5748},
	year = {2009},
	note = {1},
	pages = {502-511},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-03798-6},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Bonea, A. and Nadler, B. and Fred A. Hamprecht}
}
@article {staudacher_09_selbstadaptivitaet,
	title = {Self Adjustment of Scanning Electron Microscopes / Selbstadaptivit{\"a}t von Rasterelektronenmikroskopen},
	journal = {Patent, Patent Number  WO2009062781A1},
	year = {2009},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@article {frank_09_theoretical,
	title = {Theoretical and Experimental Error Analysis of Continuous-Wave Time-Of-Flight Range Cameras},
	journal = {Optical Engineering},
	volume = {48, 013602},
	year = {2009},
	note = {1},
	doi = {10.1117/1.3070634},
	author = {Mario Frank and Matthias Plaue and Holger Rapp and Ullrich K{\"o}the and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@article {frank2009,
	title = {Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras},
	journal = {Opt. Eng.},
	volume = {48},
	year = {2009},
	pages = {013602},
	abstract = {We offer a formal investigation of the measurement principle of time-of-flight 3-D cameras using correlation of amplitude-modulated continuous-wave signals. These sensors can provide both depth maps and IR intensity pictures simultaneously and in real time. We examine the theory of the data acquisition in detail. The variance of the range measurements is derived in a concise way and we show that the computed range follows an offset normal distribution. The impact of quantization of that distribution is discussed. All theoretically investigated errors like the behavior of the variance, depth bias, saturation and quantization effects are supported by experimental results.},
	doi = {10.1117/1.3070634},
	author = {Mario Frank and Matthias Plaue and Holger Rapp and Ullrich K{\"o}the and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@conference {garbe2009b,
	title = {Thermographic measurements of the temperature difference across the air- water interface: results from experimental and numerical studies},
	booktitle = {Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009},
	year = {2009},
	abstract = {Thermography is a powerful tool for analyzing spatially and temporally resolved the transport of heat across the air-water interface. In this contribution, measurements of the temperature difference across the aqueous boundary layer will be presented. These measurements are based on a statistical analysis of the temperature distribution directly at the water surface. This technique will be presented together with results of measurements conducted in the laboratory and in the field. These thermographic measurements are compared to measurements with standard techniques. Also, the same statistical analysis is performed on data from direct numerical simulation of a wind-driven, aqueous turbulent boundary-layer flow. The agreement between thermography and simulation is very good. Moreover, the full 3D simulations are used for a thorough analysis and validation of the thermographic technique and help to discuss the results.},
	author = {Christoph S. Garbe and Leila Nagel and Hung, L. -P. and Tsai, W. -T.}
}
@article {hanselmann_09_towards,
	title = {Towards Digital Staining using Imaging Mass Spectrometry and Random Forests},
	journal = {Journal of Proteome Research},
	volume = {8},
	year = {2009},
	note = {1},
	pages = {3558-3567},
	doi = {10.1021/pr900253y},
	author = {Hanselmann, M. and Ullrich K{\"o}the and Kirchner, M. and B. Y. Renard and Amstalden, E. R. and Glunde, K. and Heeren, R. M. A. and Fred A. Hamprecht}
}
@article {renard_09_when,
	title = {When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing},
	journal = {Proteomics},
	volume = {9},
	year = {2009},
	note = {1},
	pages = {4978-4984},
	doi = {10.1002/pmic.200900326},
	author = {B. Y. Renard and Kirchner, M. and Monigatti, F. and Ivanov, A. R. and Rappsilber, J. and Winter, D. and Judith A. J. Steen and Fred A. Hamprecht and Steen, H.}
}
@mastersthesis {haschler2008,
	title = {Aufbau eines Praktikumsversuch zum Gasaustauch zwischen Atmosph{\"a}re und Ozean},
	year = {2008},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Steffen Haschler}
}
@conference {haja2008b,
	title = {A Comparison of Region Detectors for Tracking},
	booktitle = {Pattern Recognition, Proceedings 30th DAGM Symposium, Munich, Germany, June 2008},
	volume = {5096},
	year = {2008},
	pages = {112--121},
	abstract = {In this work, the performance of five popular region detectors is compared in the context of tracking. Firstly, conventional nearest-neighbor matching based on the similarity of region descriptors is used to assemble trajectories from unique region-to-region correspondences. Based on carefully estimated homographies between planar object surfaces in neighboring frames of an image sequence, both their localization accuracy and length, as well as the percentage of successfully tracked regions is evaluated and compared. The evaluation results serve as a supplement to existing studies and facilitate the selection of appropriate detectors suited to the requirements of a specific application. Secondly, a novel tracking method is presented, which integrates for each region all potential matches into directed multi-edge graphs. From these, trajectories are extracted using Dijkstra{\textquoteright}s algorithm. It is shown, that the resulting localization error is significantly lower than with nearest-neighbor matching while at the same time, the percentage of tracked regions is increased.},
	doi = {10.1007/978-3-540-69321-5_12},
	author = {Andreas Haja and Steffen Abraham and Bernd J{\"a}hne},
	editor = {Gerhard Rigoll}
}
@article {hanselmann_08_concise,
	title = {Concise Representation of MS Images by Probabilistic Latent Semantic Analysis},
	journal = {Analytical Chemistry},
	volume = {80},
	number = {24},
	year = {2008},
	note = {1},
	pages = {9649-9658},
	doi = {10.1021/ac801303x},
	author = {Hanselmann, M. and Kirchner, M. and B. Y. Renard and Amstalden, E. R. and Glunde, K. and Heeren, R. M. A. and Fred A. Hamprecht}
}
@conference {Fundana-Heyden-Gosch-Schnoerr-2008,
	title = {Continuous Graph Cuts for Prior-Based Object Segmentation},
	booktitle = {19th Int.~Conf.~Patt.~Recog.~(ICPR)},
	year = {2008},
	pages = {1--4},
	author = {Fundana, Ketut and Heyden, Anders and Gosch, Christian and Christoph Schn{\"o}rr}
}
@article {steen_08_different,
	title = {Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis},
	journal = {Proceedings of the National Academy of Sciences},
	volume = {105},
	number = {16},
	year = {2008},
	note = {1},
	pages = {6069-6074},
	doi = {10.1073/pnas.0709807104},
	author = {Judith A. J. Steen and Steen, H. and Georgi, A. and Kenneth C. Parker and Springer, M. and Kirchner, M. and Fred A. Hamprecht and Kirschner, M. W.}
}
@article {scholz2008,
	title = {Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation},
	journal = {Exp. Fluids},
	volume = {45},
	number = {4},
	year = {2008},
	pages = {583--593},
	abstract = {A concept for dynamic mixture formation investigations of fuel/air mixtures is presented which can equally be applied to several other laser induced fluorescence (LIF) applications. Double-pulse LIF imaging was used to gain insight into dynamic mixture formation processes. The setup consists of a modified standard PIV setup. The "fuel/air ratio measurement by laser induced fluorescence (FARLIF)" approach is used for a quantification of the LIF images in order to obtain pairs of 2D fuel/air ratio maps. Two different evaluation concepts for LIF double pulse images are discussed. The first is based on the calculation of the temporal derivative field of the fuel/air ratio distribution. The result gives insight into the dynamic mixing process, showing where and how the mixture is changing locally. The second concept uses optical flow methods in order to estimate the motion of fluorescence (i.e., mixture) structures to gain insight into the dynamics, showing the distortion and the motion of the inhomogeneous mixture field. For this "fluorescence motion analysis" (FMA) two different evaluation approaches the "variational gradient based approach" and the "variational cross correlation based approach" are presented. For the validation of both, synthetic LIF image pairs with predefined motion fields were generated. Both methods were applied and the results compared with the known original motion field. This validation shows that FMA yields reliable results even for image pairs with low signal/noise ratio. Here, the "variational gradient based approach" turned out to be the better choice so far. Finally, the experimental combination of double-pulse FARLIF imaging with FMA and simultaneous PIV measurement is demonstrated. The comparison of the FMA motion field and the flow velocity field captured by PIV shows that both results basically reflect complementary information of the flow field. It is shown that the motion field of the fluorescence structures does not (necessarily) need to represent the actual flow velocity and that the flow velocity field alone can not illustrate the structure motion in any case. Therefore, the simultaneous measurement of both gives the deepest insight into the dynamic mixture formation process. The examined concepts and evaluation approaches of this paper can easily be adapted to various other planar LIF methods (with the LIF signal representing, e.g., species concentration, temperature, density etc.) broadening the insight for a wide range of different dynamic processes.},
	doi = {10.1007/s00348-008-0537-x},
	author = {J. Scholz and T. Wiersbinski and Paul Ruhnau and Daniel Kondermann and Christoph S. Garbe and R. Hain and Volker Beushausen}
}
@article {andres_08_errors-in-variables,
	title = {On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation},
	journal = {Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on},
	year = {2008},
	note = {1},
	pages = {1-6},
	doi = {10.1109/CVPR.2008.4587571},
	author = {Bj{\"o}rn Andres and Claudia Kondermann and Daniel Kondermann and Ullrich K{\"o}the and Fred A. Hamprecht and Christoph S. Garbe}
}
@conference {andres2008,
	title = {On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation},
	booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008},
	year = {2008},
	pages = {1--6},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated errors in variables. Established total least squares methods estimate the most likely corrections Acirc and bcirc to a given data matrix [A, b] perturbed by additive Gaussian noise, such that there exists a solution y with [A + Acirc, b +bcirc]y = 0. In practice, regression imposes a more restrictive constraint namely the existence of a solution x with [A + Acirc]x = [b + bcirc]. In addition, more complicated correlations arise canonically from the use of linear filters. We, therefore, propose a maximum likelihood estimator for regression in the general case of arbitrary positive definite covariance matrices. We show that Acirc, bcirc and x can be found simultaneously by the unconstrained minimization of a multivariate polynomial which can, in principle, be carried out by means of a Grobner basis. Results for plane fitting and optical flow computation indicate the superiority of the proposed method.},
	doi = {10.1109/CVPR.2008.4587571},
	author = {Bj{\"o}rn Andres and Claudia Kondermann and Daniel Kondermann and Fred A. Hamprecht and Christoph S. Garbe}
}
@phdthesis {haja2008,
	title = {Graph-based Spatial Motion Tracking using Affine-covariant Regions},
	year = {2008},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Mathematik und Informatik, Univ.\ Heidelberg},
	abstract = {This thesis considers the task of spatial motion reconstruction from image sequences using a stereoscopic camera setup. In a variety of fields, such as flow analysis in physics or the measurement of oscillation characteristics and damping behavior in mechanical engineering, efficient and accurate methods for motion analysis are of great importance. This work discusses each algorithmic step of the motion reconstruction problem using a set of freely available image sequences. The presented concepts and evaluation results are of a generic nature and may thus be applied to a multitude of applications in various fields, where motion can be observed by two calibrated cameras. The first step in the processing chain of a motion reconstruction algorithm is concerned with the automated detection of salient locations (=features or regions) within each image of a given sequence. In this thesis, detection is directly performed on the natural texture of the observed objects instead of using artificial marker elements (as with many currently available methods). As one of the major contributions of this work, five well-known detection methods from the contemporary literature are compared to each other with regard to several performance measures, such as localization accuracy or the robustness under perspective distortions. The given results extend the available literature on the topic and facilitate the well-founded selection of appropriate detectors according to the requirements of specific target applications. In the second step, both spatial and temporal correspondences have to be established between features extracted from different images. With the former, two images taken at the same time instant but with different cameras are considered (stereo reconstruction) while with the latter, correspondences are sought between temporally adjacent images from the same camera instead (monocular feature tracking). With most classical methods, an observed object is either spatially reconstructed at a single time instant yielding a set of three-dimensional coordinates, or its motion is analyzed separately within each camera yielding a set of two-dimensional trajectories. A major contribution of this thesis is a concept for the unification of both stereo reconstruction and monocular tracking. Based on sets of two-dimensional trajectories from each camera of a stereo setup, the proposed method uses a graph-based approach to find correspondences not between single features but between entire trajectories instead. Thereby, the influence of locally ambiguous correspondences is mitigated significantly. The resulting spatial trajectories contain both the three-dimensional structure and the motion of the observed objects at the same time. To the best knowledge of the author, a similar concept does not yet exist in the literature. In a detailed evaluation, the superiority of the new method is demonstrated.},
	url = {http://www.ub.uni-heidelberg.de/archiv/8943},
	author = {Andreas Haja}
}
@incollection {acker2008,
	title = {Inverse Problems and Parameter Identification in Image Processing},
	year = {2008},
	pages = {111--151},
	publisher = {Springer},
	abstract = {Many problems in imaging are actually inverse problems. One reason for this is that conditions and parameters of the physical processes underlying the actual image acquisition are usually not known. Examples for this are the inhomogeneities of the magnetic field in magnetic resonance imaging (MRI) leading to nonlinear deformations of the anatomic structures in the recorded images, material parameters in geological structures as unknown parameters for the simulation of seismic wave propagation with sparse measurement on the surface, or temporal changes in movie sequences given by intensity changes or moving image edges and resulting from deformation, growth and transport processes with unknown fluxes. The underlying physics is mathematically described in terms of variational problems or evolution processes. Hence, solutions of the forward problem are naturally described by partial differential equations. These forward models are reflected by the corresponding inverse problems as well. Beyond these concrete, direct modeling links to continuum mechanics abstract concepts from physical modeling are successfully picked up to solve general perceptual problems in imaging. Examples are visually intuitive methods to blend between images showing multiscale structures at different resolution or methods for the analysis of flow fields.},
	doi = {10.1007/978-3-540-75632-3_4},
	author = {Jens F. Acker and Benjamin Berkels and Kristian Bredies and Mamadou S. Diallo and Marc Droske and Christoph S. Garbe and Matthias Holschneider and Jaroslav Hron and Claudia Kondermann and Michail Kulesh and Peter Maass and Nadine Olischl{\"a}ger and Heinz-Otto Peitgen},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@conference {haja2008a,
	title = {Localization accuracy of region detectors},
	booktitle = {Proceedings CVPR{\textquoteright}08},
	year = {2008},
	doi = {10.1109/CVPR.2008.4587829},
	author = {Andreas Haja and Bernd J{\"a}hne and Steffen Abraham}
}
@article {staudacher_08_method,
	title = {Method for processing an intensity image of a microscope},
	journal = {Patent, Patent Number: WO2008034721A1},
	year = {2008},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@article {menze_08_mimicking,
	title = {Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI},
	journal = {Magnetic Resonance in Medicine},
	volume = {59},
	year = {2008},
	note = {1},
	pages = {1457-1466},
	doi = {10.1002/mrm.21519},
	author = {Bjoern H. Menze and B. Michael Kelm and M.-A. Weber and Bachert, P. and Fred A. Hamprecht}
}
@article {renard_08_nitpick,
	title = {NITPICK: Peak Identification for Mass Spectrometry Data},
	journal = {BMC Bioinformatics},
	volume = {9},
	year = {2008},
	pages = {355},
	doi = {10.1186/1471-2105-9-355},
	author = {B. Y. Renard and Kirchner, M. and Steen, H. and Judith A. J. Steen and Fred A. Hamprecht}
}
@incollection {garbe_08_nonlinear,
	title = {Nonlinear Analysis of Multi-Dimensional Signals},
	year = {2008},
	note = {1},
	pages = {231-288},
	publisher = {Springer},
	doi = {10.1007/978-3-540-75632-3_7},
	author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Schuchert, T. and Hanno Scharr and Til Aach and Erhardt Barth},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@incollection {garbe2008,
	title = {Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns},
	year = {2008},
	pages = {231-288},
	publisher = {Springer},
	abstract = {We consider the general task of accurately detecting and quantifying orientations in n-dimensional signals s. The main emphasis will be placed on the estimation of motion, which can be thought of as orientation in spatiotemporal signals. Associated problems such as the optimization of matched kernels for deriving isotropic and highly accurate gradients from the signals, optimal integration of local models, and local model selection will also be addressed.},
	doi = {10.1007/978-3-540-75632-3_7},
	author = {Christoph S. Garbe and Kai Krajsek and Pavel Pavlov and Bj{\"o}rn Andres and Matthias M{\"u}hlich and Ingo Stuke and Cicero Mota and Martin B{\"o}hme and Martin Haker and Tobias Schucher and Hanno Scharr and Til Aach and Erhardt Barth},
	editor = {R. Dahlhaus and J. Kurths and Timmer, J. and Peter Maass}
}
@article {jaeger_08_principal,
	title = {Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {56:4},
	year = {2008},
	pages = {1307-1313},
	doi = {10.1109/TIE.2008.2008339},
	author = {J{\"a}ger, M. and Fred A. Hamprecht}
}
@article {koenig_08_robust,
	title = {Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics},
	journal = {Journal of Proteome Research},
	volume = {7},
	number = {9},
	year = {2008},
	note = {1},
	pages = {3708-3717},
	doi = {10.1021/pr700859x},
	author = {K{\"o}nig, T. and Bjoern H. Menze and Kirchner, M. and Monigatti, F. and Kenneth C. Parker and Patterson, T. and Judith Jebanthirajah Steen and Fred A. Hamprecht and Steen, H.}
}
@conference {andres_08_segmentation,
	title = {Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification},
	booktitle = {Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {142-152},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-69321-5_15},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Helmstaedter, M. and Denk, W. and Fred A. Hamprecht},
	editor = {Gerhard Rigoll}
}
@mastersthesis {huhn2008,
	title = {A Simple Instrument for the Measurement of the Slope and Height Distributions of Small Scale Wind-Driven Water Waves},
	year = {2008},
	school = {Institute for Environmental Physics, University of Heidelberg},
	abstract = {A new optical wave gauge was built to measure simultaneously two statistical parameters of wind induced water surface waves, namely the surface slope and surface amplitude probability distribution functions. The new instrument was tested in a linear wind wave flume with a water depth of 10 cm. The surface slope is determined using the refraction of light at the water surface. The wave amplitude is measured using the absorption of infrared light in the water column. The wave gauge consists of a point-like dichromatic light source which is positioned under the flume (Ulbricht sphere with high-power LEDs, (RED = 632nm and IR = 850nm) and a camera above the flume that looks vertically through the water into the light source. No other optical components are needed. The light source is pulsed and the camera is triggered. The images show light speckles whose positions are a measure for the wave slope. The relative intensities are a measure for the wave amplitude. These quantities are derived from the digital images by means of image processing and simple geometrical considerations. The influence of different analysis methods on the wave slope and amplitude distribution was studied. For the characterization of the new linear wind wave flume in the Institut f{\"u}r Umweltphysik (IUP), Heidelberg, mean square slope and root mean square wave height were measured for a wind speed up to 6.7 m/s and a fetch between 0.80m and 2.40m. The findings agree with comparable measurements in other linear wind wave flumes.},
	author = {Huhn, Florian}
}
@article {jaeger_08_sputter,
	title = {Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {55},
	number = {5},
	year = {2008},
	pages = {2177-2184},
	doi = {10.1109/TIE.2008.918637},
	author = {J{\"a}ger, M. and Humbert, S. and Fred A. Hamprecht}
}
@article {rapp_08_theoretical,
	title = {A Theoretical and Experimental Investigation of the Systematic Errors and Statistical Uncertainties of Time-of-Flight Cameras},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	number = {3},
	year = {2008},
	note = {1},
	pages = {402-413},
	doi = {10.1504/IJISTA.2008.021303},
	author = {Holger Rapp and Mario Frank and Fred A. Hamprecht and Bernd J{\"a}hne}
}
@article {rapp2008,
	title = {A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	year = {2008},
	pages = {402--413},
	abstract = {The following paper presents a model to predict the systematic errors and statistical uncertainties of Time-Of-Flight (TOF) 3D imaging systems. The experimental data obtained with a custom build test setup show that the SD of the depth signal rises approximately quadratically with the depth. The most significant systematic depth error is periodic with an amplitude of around 50mm. It is provoked by the inharmonic correlation function. The inhomogeneity in each pixel (fixed pattern) accounts for a depth error of about 20mm, while illumination and reflectivity variations cause depth errors of less than 10mm, provided that no overflows occur.},
	doi = {10.1504/IJISTA.2008.021303},
	author = {Holger Rapp and Mario Frank and Fred A. Hamprecht and Bernd J{\"a}hne}
}
@conference {Gosch-Fundana-Heyden-Schnoerr-2008,
	title = {View Point Tracking of Rigid Object Based on Shape Sub-Manifolds},
	booktitle = {Computer Vision -- ECCV 2008},
	volume = {5302},
	year = {2008},
	pages = {251--263},
	publisher = {Springer},
	organization = {Springer},
	author = {Gosch, Christian and Fundana, Ketut and Heyden, Anders and Christoph Schn{\"o}rr}
}
@conference {Gosch-Fundana-Heyden-Schnoerr-2008,
	title = {View Point Tracking of Rigid Object Based on Shape Sub-Manifolds},
	booktitle = {Computer Vision {\textendash} ECCV 2008},
	series = {lncs},
	volume = {5302},
	year = {2008},
	pages = {251{\textendash}263},
	publisher = {Springer},
	organization = {Springer},
	author = {Gosch, Christian and Fundana, Ketut and Heyden, Anders and Christoph Schn{\"o}rr}
}
@article {jaeger_08_weakly,
	title = {Weakly Supervised Learning of a Classifier for Unusual Event Detection},
	journal = {IEEE Transactions on Image Processing},
	volume = {17},
	number = {9},
	year = {2008},
	note = {1},
	pages = {1700-1708},
	doi = {10.1109/TIP.2008.2001043},
	author = {J{\"a}ger, M. and Knoll, C. and Fred A. Hamprecht}
}
@conference {Hoiem2007,
	title = {3D LayoutCRF for multi-view object class recognition and segmentation},
	booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
	year = {2007},
	abstract = {We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining object-level descriptions (such as position, shape, and color) with pixel-level appearance, boundary, and occlusion reasoning. In training, we exploit a rough 3D object model to learn physically localized part appearances. To find and segment objects in an image, we generate proposals based on the appearance and layout of local parts. The proposals are then refined after incorporating object-level information, and overlapping objects compete for pixels to produce a final description and segmentation of objects in the scene. A further contribution is a novel instance penalty, which is handled very efficiently during inference. We experimentally validate our approach on the challenging PASCAL{\textquoteright}06 car database. {\textcopyright} 2007 IEEE.},
	isbn = {1424411807},
	issn = {10636919},
	doi = {10.1109/CVPR.2007.383045},
	author = {Hoiem, Derek and Carsten Rother and Winn, John}
}
@conference {kondermann2007,
	title = {An adaptive confidence measure for optical flows based on linear subspace projections},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	volume = {4713},
	year = {2007},
	pages = {132--141},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used confidence measures, which have been found of at best intermediate quality. Hence, we propose a new confidence measure based on linear subspace projections. The results are compared to the best previously proposed confidence measures with respect to an optimal confidence. Using the proposed measure we are able to improve previous results by up to 31\%.},
	doi = {10.1007/978-3-540-74936-3_14},
	author = {Claudia Kondermann and Daniel Kondermann and Bernd J{\"a}hne and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@article {kirchner_07_amsrpm,
	title = {amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R},
	journal = {Journal of Statistical Software},
	volume = {18},
	number = {4},
	year = {2007},
	note = {1},
	pages = {1-12},
	url = {http://www.jstatsoft.org/v18/i04/paper},
	author = {Kirchner, M. and Saussen, B. and Steen, H. and Judith A. J. Steen and Fred A. Hamprecht}
}
@phdthesis {hering2007,
	title = {Angewandte statistische Optik in der Wei{\ss}licht-Interferometrie: R{\"a}umliches Phasenschieben und Einfluss optisch rauer Oberfl{\"a}chen},
	year = {2007},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {This thesis describes a novel one-shot white-light interferometer for three-dimensional sensing. The method is based on spatial phase shifting which renders mechanical phase shifting unneces-sary. Due to the absence of any mechanical transducers, its static optical setup is well suited for applications outside the laboratory. Its one-shot ability is of great interest for contactless and high precision quality inspection as well as for medical applications. Also, it allows a quanti-tative monitoring of dynamic surface processes. The first part of this thesis describes the development of the optical setup in context of physical limitations and technical requirements, followed by a detailed discussion of single components and their influence onto the accuracy of the system. Furthermore, the statistical properties of speckle patterns, which appear for diffusely scattering samples, are derived. Thus, existing theories, relating the measurement uncertainty of white-light interferometry to the influence of speckle, are extended. By means of simulations and experimental techniques presented in this thesis, it is possible to verify the theoretical predictions and to clarify the consequences. Especially in context of high numerical apertures, these results have to be taken into account to improve the optical setup as well as the performance of signal processing algorithms.},
	url = {http://www.ub.uni-heidelberg.de/archiv/7470/},
	author = {Marco Hering}
}
@article {kelm_07_automated,
	title = {Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification},
	journal = {Magnetic Resonance in Medicine},
	volume = {57},
	number = {1},
	year = {2007},
	note = {1},
	pages = {150-159},
	doi = {10.1002/mrm.21112},
	author = {B. Michael Kelm and Bjoern H. Menze and C. M. Zechmann and Baudendistel, K. T. and Fred A. Hamprecht}
}
@article {weber_07_comparison,
	title = {Comparison of correctness of manuel and automatic evaluation of MR-spectrum with prostrate cancer},
	journal = {Der Urologe},
	volume = {46},
	number = {9},
	year = {2007},
	pages = {1252},
	doi = {10.1007/s00120-007-1488-1},
	author = {C. Weber and C. M. Zechmann and B. Michael Kelm and Zamecnik, R. and Hendricks, D. and Waldherr, R. and Fred A. Hamprecht and Delorme, S. and Bachert, P. and Ikinger, U.}
}
@conference {Sellen2007,
	title = {Do life-logging technologies support memory for the past? An experimental study using sensecam},
	booktitle = {Conference on Human Factors in Computing Systems - Proceedings},
	year = {2007},
	pages = {81{\textendash}90},
	abstract = {We report on the results of a study using SenseCam, a "life- logging" technology in the form of a wearable camera, which aims to capture data about everyday life in order to support people{\textquoteright}s memory for past, personal events. We find evidence that SenseCam images do facilitate people{\textquoteright}s ability to connect to their past, but that images do this in different ways. We make a distinction between "remembering" the past, and "knowing" about it, and provide evidence that SenseCam images work differently over time in these capacities. We also compare the efficacy of user-captured images with automatically captured images and discuss the implications of these findings and others for how we conceive of and make claims about life-logging technologies. {\textcopyright} Copyright 2007 ACM.},
	keywords = {Capture, Episodic or autobiographical memory, Images, Life-logging, Personal digital archives, SenseCam},
	isbn = {1595935932},
	doi = {10.1145/1240624.1240636},
	author = {Sellen, Abigail and Fogg, Andrew and Aitken, Mike and Hodges, Steve and Carsten Rother and Wood, Ken}
}
@conference {scholz2007,
	title = {Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation},
	booktitle = {7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept.},
	year = {2007},
	author = {J. Scholz and T. Wiersbinski and Paul Ruhnau and Daniel Kondermann and Christoph S. Garbe and R. Hain and Volker Beushausen}
}
@incollection {garbe2007c,
	title = {Estimating the viscous shear stress at the water surface from active thermography},
	year = {2007},
	pages = {223--239},
	publisher = {Springer-Verlag},
	abstract = {A novel technique is presented that makes it possible to measure the viscous shear stress from active thermography. With a CO2 laser, patterns are written to the sea surface. This temperature structure is distorted by the linear velocity profile in the viscous boundary layer. Due to the non-zero penetration depth of both the laser and the infrared camera, this vertical velocity profile can be resolved. By resolving the velocity profile, the viscous shear stress can be extracted from the recorded image sequences. At the same time, the flow field at the water surface can be measured accurately. Estimating both quantities is only possible by modeling the imaging process as well as the velocity profile in the boundary layer. The model parameters can then be computed in a standard parameter estimation framework. This novel technique was tested both on simulated data and on measurements conducted in a small annular wind-wave flume. The friction velocity computed in this fashion compared favorably to independent measurements. Although not tested yet, this technique should be equally applicable to field measurements.},
	doi = {10.1007/978-3-540-36906-6_16},
	author = {Kai Degreif and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Christoph S. Garbe and Handler, R. A.}
}
@incollection {hara2007,
	title = {Estimation of air-sea gas and heat fluxes from infrared imagery based on near surface turbulence models},
	year = {2007},
	publisher = {Springer-Verlag},
	abstract = {Water surface infrared images were obtained during the GASEX2001 experiment in the South Equatorial Pacific waters and during the laboratory experiment in the AEOLOTRON wind wave tank at University of Heidelberg in October 2004. The infrared imagery during these experiments reveals coexistence of roller type turbulence and intermittent breaking events. Previous interpretations of the infrared images relied on the surface renewal model, in which the water surface is assumed to be occasionally renewed by bursts of turbulent eddies reaching the water surface. A new complementary model (eddy renewal model) based on stationary and spatially periodic turbulent eddies is developed to reinterpret the infrared images of near surface turbulence. The model predicts warm elongated patches bounded by cold streaks aligned with mean wind, being consistent with field and laboratory infrared images. The model yields bulk temperature estimates and mean heat flux estimates that are very close to those based on the surface renewal model.},
	doi = {10.1007/978-3-540-36906-6_17},
	author = {T. Hara and VanInwegen, E. and J. Wendelbo and Uwe Schimpf and Bernd J{\"a}hne and Nelson M. Frew and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Christoph S. Garbe and Handler, R. A.}
}
@conference {garbe2007,
	title = {Fluid flow estimation through integration of physical flow configurations},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {92--101},
	publisher = {Springer},
	organization = {Springer},
	abstract = {The measurement of fluid flows is an emerging field for optical flow computation. In a number of such applications, a tracer is visualized with modern digital cameras. Due to the projective nature of the imaging process, the tracer is integrated across a velocity profile. In this contribution, a novel technique is presented that explicitly models brightness changes due to this integration. Only through this modeling is an accurate estimation of the flow velocities feasible. Apart from an accurate measurement of the fluid flow, also the underlying velocity profile can be reconstructed. Applications from shear flow, microfluidics and a biological applications are presented.},
	doi = {10.1007/978-3-540-74936-3_10},
	author = {Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {menze_07_from,
	title = {From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background},
	booktitle = {Advances in data analysis},
	volume = {33},
	year = {2007},
	note = {1},
	pages = {255-262},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-70981-7_29},
	author = {Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht},
	editor = {Lenz, H.-J. and Decker, R.}
}
@article {schmaehling_07_generalizing,
	title = {Generalizing the Abbott-Firestone curve by two new surface descriptors},
	journal = {Wear},
	volume = {262},
	year = {2007},
	note = {1},
	pages = {1360-1371},
	doi = {10.1016/j.wear.2007.01.025},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht}
}
@incollection {jaehne2007f,
	title = {The influence of intermittency on air/water gas transfer measurements},
	year = {2007},
	publisher = {Springer-Verlag},
	abstract = {This paper theoretically investigates the influence of intermittency on determining average transfer velocities using different measuring techniques. It is shown that all measuring techniques can significantly be biased by intermittency. Mass balance and eddy correlation measurements are only biased when the concentration difference between the air and the water is spatially or temporally inhomogeneous over the measurement interval. Mean transfer velocities calculated either from mean boundary layer thicknesses or from thermographic techniques, which compute the mean transfer velocity either from concentration differences of from time constants, are biased toward lower values. The effects can be large and a simple stochastic bimodal model is used to estimate the effect.},
	doi = {10.1007/978-3-540-36906-6_18},
	author = {Bernd J{\"a}hne and Christopher Popp and Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@article {menze_07_multivariate,
	title = {Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy},
	journal = {Analytical and Bioanalytical Chemistry},
	volume = {387},
	number = {5},
	year = {2007},
	note = {1},
	pages = {1801-1807},
	doi = {10.1007/s00216-006-1070-5},
	author = {Bjoern H. Menze and Petrich, W. and Fred A. Hamprecht}
}
@proceedings {DAGM07,
	title = {Pattern Recognition {\textendash} 29th DAGM Symposium},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	editor = {Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@book {hamprecht_07_pattern,
	title = {Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3},
	editor = {Fred A. Hamprecht and Bernd J{\"a}hne and Christoph Schn{\"o}rr}
}
@proceedings {hamprecht2007,
	title = {Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14},
	volume = {4713},
	year = {2007},
	publisher = {Springer},
	doi = {10.1007/978-3-540-74936-3},
	author = {Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@conference {Lalonde2007,
	title = {Photo clip art},
	booktitle = {Proceedings of the ACM SIGGRAPH Conference on Computer Graphics},
	year = {2007},
	abstract = {We present a system for inserting new objects into existing photographs by querying a vast image-based object library, pre-computed using a publicly available Internet object database. The central goal is to shield the user from all of the arduous tasks typically involved in image compositing. The user is only asked to do two simple things: 1) pick a 3D location in the scene to place a new object; 2) select an object to insert using a hierarchical menu. We pose the problem of object insertion as a data-driven, 3D-based, context-sensitive object retrieval task. Instead of trying to manipulate the object to change its orientation, color distribution, etc. to fit the new image, we simply retrieve an object of a specified class that has all the required properties (camera pose, lighting, resolution, etc) from our large object library. We present new automatic algorithms for improving object segmentation and blending, estimating true 3D object size and orientation, and estimating scene lighting conditions. We also present an intuitive user interface that makes object insertion fast and simple even for the artistically challenged. {\textcopyright} 2007 ACM.},
	keywords = {3D scene reasoning, Blending and compositing, Computational photography, Image databases, Object insertion},
	doi = {10.1145/1275808.1276381},
	url = {http://graphics.cs.cmu.edu/projects/photoclipart/},
	author = {Lalonde, Jean Fran{\c c}ois and Hoiem, Derek and Efros, Alexei A and Carsten Rother and Winn, John and Criminisi, Antonio}
}
@conference {andres_07_selection,
	title = {Selection of Local Optical Flow Models by Means of Residual Analysis},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {72-81},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph S. Garbe},
	editor = {Christoph Schn{\"o}rr and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@conference {andres2007,
	title = {Selection of local optical flow models by means of residual analysis},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {72--81},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric models of local optical flow. These models give rise to parameter estimation problems with highly correlated errors in variables (EIV). Regression is hence performed by equilibrated total least squares. The authors suggest to adaptively select motion models by testing local empirical regression residuals to be in accordance with the probability distribution that is theoretically predicted by the EIV model. Motion estimation with residual-based model selection is examined on artificial sequences designed to test specifically for the properties of the model selection process. These simulations indicate a good performance in the exclusion of inappropriate models and yield promising results in model complexity control.},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht}
}
@conference {goerlitz_07_semi,
	title = {Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {224-233},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_23},
	author = {G{\"o}rlitz, L. and Bjoern H. Menze and M.-A. Weber and B. Michael Kelm},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@mastersthesis {hayn_07_statistical,
	title = {Statistical analysis of spatio-temporal patterns in global NOX satellite data},
	year = {2007},
	school = {University of Heidelberg},
	author = {Hayn, M.}
}
@conference {rapp2007,
	title = {A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras},
	booktitle = {Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007},
	year = {2007},
	publisher = {ZESS, Univ.\ Siegen},
	organization = {ZESS, Univ.\ Siegen},
	author = {Holger Rapp and Mario Frank and Fred A. Hamprecht and Bernd J{\"a}hne}
}
@book {garbe2007d,
	title = {Transport at the Air Sea Interface --- Measurements, Models and Parameterizations},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-36906-6},
	url = {http://hci.iwr.uni-heidelberg.de/publications/dip/2007/TASI/index.html},
	author = {Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@incollection {Schnoerr-et-al-06a,
	title = {Variational Reconstruction with DC-Programming},
	year = {2007},
	publisher = {Birkh{\"a}user},
	address = {Boston},
	author = {Schn{\"o}rr, C. and Sch{\"u}le, T. and Weber, S.},
	editor = {Herman, G. and Kuba, A.}
}
@incollection {falkenroth2007a,
	title = {Visualisation of oxygen concentration fields in the mass boundary layer by fluorescence quenching},
	year = {2007},
	publisher = {Springer Verlag},
	abstract = {Laser-Induced Fluorescence (LIF) is applied to observe directly the mechanism of gas exchange in the aqueous viscous boundary layer at a free water surface. In order to make dissolved oxygen visible, a new class of fluorescent dyes is used with a life time in the order of microseconds so that the quenching constant for dissolved oxygen is sufficiently high for sensitive measurements. Depth profiles of the O2 concentration near the water surface are obtained by a vertical laser sheet at a rate of 185 frames per second. This technique is capable of a measurement sector up to several centimetres down from the water surface with a resolution in the order of 50-100 um. For a small circular wind/wave facility a correlation between wind speed and gas-exchange rates calculated from the extrapolated mean boundary-layer thickness are presented as well as the results of parallel measurements with a budget method for other gases with known Schmidt numbers.},
	doi = {10.1007/978-3-540-36906-6_4},
	author = {A. Falkenroth and Kai Degreif and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {Christoph S. Garbe and Handler, R. A.}
}
@conference {kelm_06_bayesian,
	title = {Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM},
	booktitle = {Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis)},
	year = {2006},
	note = {1},
	pages = {96-103},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	doi = {10.1109/CVPRW.2006.41},
	author = {B. Michael Kelm and M{\"u}ller, N. and Bjoern H. Menze and Fred A. Hamprecht},
	editor = {Schmid, C. and Soatto, S. and Tomasi, C.}
}
@conference {zechmann_06_can,
	title = {Can man still beat the machine? Automated vs. manual pattern recognition of 3D MRSI data of prostate cancer patients},
	booktitle = {Proceedings of the 16th ISMRM},
	year = {2006},
	author = {C. M. Zechmann and B. Michael Kelm and Zamecnik, P. and Ikinger, U. and Waldherr, R. and R{\"o}ll, S. and Delorme, S. and Fred A. Hamprecht and Bachert, P.}
}
@conference {kelm_06_claret,
	title = {CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods.},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2006 - Algorithmen, Systeme, Anwendungen},
	year = {2006},
	note = {1},
	pages = {51-55},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/3-540-32137-3_7},
	url = {http://www.efmi-wg-mip.net/service/bvm2006},
	author = {B. Michael Kelm and Bjoern H. Menze and Neff, T. and C. M. Zechmann and Fred A. Hamprecht},
	editor = {H. Handels and G. Bebis and et al.}
}
@inbook {carlsohn_06_spectral,
	title = {Color image processing},
	volume = {7(17)},
	year = {2006},
	pages = {393-419},
	publisher = {CRC Press},
	organization = {CRC Press},
	chapter = {Spectral Imaging and Applications},
	author = {Carlsohn, M. F. and Bjoern H. Menze and B. Michael Kelm and Fred A. Hamprecht and Kercek, A. and Leitner, R. and Polder, G.},
	editor = {Lukac, R. and Plataniotis, K.N.}
}
@conference {Heiler-Schnoerr-06a,
	title = {Controlling Sparseness in Non-negative Tensor Factorization},
	booktitle = {Computer Vision -- ECCV 2006},
	volume = {3951},
	year = {2006},
	pages = {56-67},
	publisher = {Springer},
	organization = {Springer},
	author = {Heiler, M. and Christoph Schn{\"o}rr}
}
@phdthesis {hader_06_data,
	title = {Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung},
	year = {2006},
	publisher = {University of Heidelberg},
	author = {S. Hader}
}
@article {lichy_06_einsatz,
	title = {Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker f{\"u}r die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren},
	journal = {Zeitung f{\"u}r R{\"o}ntgenforschung},
	volume = {178},
	year = {2006},
	pages = {627-633},
	doi = {10.1055/s-2006-926744},
	author = {M. P. Lichy and Bachert, P. and Fred A. Hamprecht and M.-A. Weber and Debus, J. and Schulz-Ertner, D. and Kauczor, H.-U. and Schlemmer, H.-P.}
}
@incollection {schimpf2006a,
	title = {Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer},
	year = {2006},
	pages = {239--252},
	publisher = {Springer},
	abstract = {The influence of surface films on air-sea gas exchange at low and moderate wind speeds is investigated. Observations were made in the small Heidelberg circular wind-wave facility and in coastal and offshore waters south of Cape Cod, New England. The passive controlled flux technique was used to investigate the micro turbulence very near the water surface, which controls the rate of transfer of momentum, heat, and mass across the air-sea interface. The analysis of infrared image sequences allows the estimation of the net heat flux at the water surface, the skin-bulk temperature difference across the thermal sublayer and thus the heat transfer velocity. Using Schmidt number scaling, estimates of the gas transfer velocity are obtained. Experimental evidence shows that increased surface film concentrations suppress near surface turbulence and thus decrease the gas exchange compared to a slick-free ocean interface. If a surfactant is present, turbulent mixing is dampened and direct renewal of the surface is inhibited. A surface slick changes the hydrodynamic boundary conditions in that the length scales of near surface turbulence controlling air sea gas exchange are modified. The micro-scale temperature fluctuations at the water surface indicate that at low wind speeds the transport process is dominated by large-scale turbulence, whereas at higher wind speeds the smallest observed scales dominate the transport.},
	doi = {10.1007/3-540-33271-5_21},
	author = {Uwe Schimpf and Nelson M. Frew and Bernd J{\"a}hne and Heinrich H{\"u}hnerfuss},
	editor = {Martin Gade and Gerald M. Korenowski}
}
@article {Heiler-Schnoerr-06b,
	title = {Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming},
	journal = {J. Mach. Learning Res.},
	volume = {7},
	year = {2006},
	month = {July},
	pages = {1385{\textendash}1407},
	url = {http://www.cvgpr.uni-mannheim.de/Publications},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@conference {menze_06_machine-based,
	title = {Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin},
	year = {2006},
	note = {1},
	pages = {31-36},
	doi = {10.1007/3-540-32137-3_7},
	author = {Bjoern H. Menze and B. Michael Kelm and Heck, D. and M. P. Lichy and Fred A. Hamprecht},
	editor = {H. Handels and G. Bebis and et al.}
}
@article {menze_06_optimal,
	title = {Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor},
	journal = {NMR in Biomedicine},
	volume = {19},
	number = {5},
	year = {2006},
	note = {1},
	pages = {599-609},
	doi = {10.1002/nbm.1041},
	author = {Bjoern H. Menze and M. P. Lichy and Bachert, P. and B. Michael Kelm and Schlemmer, H. P. and Fred A. Hamprecht}
}
@article {sieg_06_qcar,
	title = {A QCAR-approach to materials modelling},
	journal = {Journal of Molecular Modeling},
	volume = {12},
	year = {2006},
	note = {1},
	pages = {611-619},
	doi = {10.1007/s00894-005-0068-9},
	author = {Sieg, S. and Stutz, B. and Schmidt, T. and Fred A. Hamprecht and Maier, W. F.}
}
@article {schmaehling_06_threedimensional,
	title = {A three-dimensional measure of surface roughness based on mathematical morphology},
	journal = {International Journal of Machine Tools and Manufacture},
	volume = {46 (14)},
	year = {2006},
	note = {1},
	pages = {1764-1769},
	doi = {10.1016/j.ijmachtools.2005.12.003},
	author = {Schm{\"a}hling, J. and Fred A. Hamprecht and Hoffmann, D. M. P.}
}
@conference {falkenroth2006,
	title = {Visualization of air-water gas exchange using novel fluorescent dyes},
	booktitle = {12th Intern. Symp. on Flow Visualization, G{\"o}ttingen, 10--14. September 2006},
	year = {2006},
	doi = {10.5281/zenodo.14844},
	author = {A. Falkenroth and Alexandra G. Herzog and Bernd J{\"a}hne}
}
@techreport {koenig_05_application,
	title = {On the Application of Multiscale Motion Estimation in Intravascular Elastography},
	year = {2005},
	institution = {University of Heidelberg},
	author = {K{\"o}nig, T. and Fred A. Hamprecht and K{\"u}cherer, H.}
}
@conference {kelm_05_automatische,
	title = {Automatische Lokalisation von Tumoren in 1H-NMR-spektroskopischen in vivo Aufnahmen},
	booktitle = {VDI-Berichte},
	volume = {1883},
	year = {2005},
	note = {1},
	pages = {457-466},
	author = {B. Michael Kelm and Bjoern H. Menze and Fred A. Hamprecht}
}
@booklet {jaeger_05_automatisierte,
	title = {Automatisierte Klassifikation von Laserschwei\DFprozessen durch Nutzung von 3D Signalverarbeitungs-Algorithmen},
	year = {2005},
	publisher = {Robert Bosch GmbH, Schwieberdingen and IWR, Uni Heidelberg},
	author = {J{\"a}ger, M. and Knoll, C. and Fred A. Hamprecht}
}
@phdthesis {hissmann_05_bayesian2,
	title = {Bayesian Estimation for White Light Interferometry},
	year = {2005},
	publisher = {University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/5742},
	author = {Hissmann, M.}
}
@article {hissmann_05_bayesian,
	title = {Bayesian surface estimation for white light interferometry},
	journal = {Optical Engineering},
	volume = {44},
	year = {2005},
	note = {1},
	pages = {1-9},
	doi = {10.1117/1.829651},
	author = {Hissmann, M. and Fred A. Hamprecht}
}
@incollection {Weber-et-al-05b,
	title = {Binary Tomography by Iterating Linear Programs},
	year = {2005},
	note = {(13 pages)},
	publisher = {Springer},
	author = {Weber, S. and Schn{\"o}rr, C. and Sch{\"u}le, T. and Hornegger, J.},
	editor = {Klette, R. and Kozera, R. and Noakes, L. and Weickert, J.}
}
@booklet {goerlitz_05_detektion,
	title = {Detektion von Partikeln in Intensit{\"a}tsbildern mit Hilfe eines morphologischen Skalenraumes},
	year = {2005},
	publisher = {Robert-Bosch GmbH, University of Heidelberg},
	author = {G{\"o}rlitz, L. and Fred A. Hamprecht and Staudacher, M.}
}
@article {Schuele-et-al-04a,
	title = {Discrete Tomography By Convex-Concave Regularization and D.C. Programming},
	journal = {Discr. Appl. Math.},
	volume = {151},
	year = {2005},
	month = {Oct},
	pages = {229-243},
	author = {Sch{\"u}le, T. and Schn{\"o}rr, C. and Weber, S. and Hornegger, J.}
}
@conference {hara2005,
	title = {Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements},
	booktitle = {Presented at: International Li{\`e}ge Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces},
	year = {2005},
	author = {T. Hara and J. Wendelbo and Christoph S. Garbe and Uwe Schimpf and Nelson M. Frew}
}
@inbook {schimpf2005,
	title = {Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer},
	year = {2005},
	pages = {239-252},
	publisher = {Springer},
	organization = {Springer},
	chapter = {3},
	doi = {10.1007/3-540-33271-5_21},
	author = {Uwe Schimpf and Nelson M. Frew and Bernd J{\"a}hne and Heinrich H{\"u}hnerfuss},
	editor = {Martin Gade and Gerald M. Korenowski}
}
@conference {Heiler-Schnoerr-05a,
	title = {Learning Sparse Image Codes by Convex Programming},
	booktitle = {Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV{\textquoteright}05)},
	year = {2005},
	month = {Oct. 15-21},
	pages = {1667-1674},
	address = {Beijing, China},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@article {Heiler-Schnoerr-04a,
	title = {Natural Image Statistics for Natural Image Segmentation},
	journal = {Int. J. Comp. Vision},
	volume = {63},
	number = {1},
	year = {2005},
	pages = {5{\textendash}19},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@article {kuensch_05_optimal,
	title = {Optimal lattices for sampling},
	journal = {IEEE Transactions on Information Theory},
	volume = {51},
	number = {0055},
	year = {2005},
	pages = {634-647},
	doi = {10.1109/TIT.2004.840864},
	author = {K{\"u}nsch, H. R. and Agrell, E. and Fred A. Hamprecht}
}
@mastersthesis {humbert_05_partikel,
	title = {Partikel-Verfolgung beim Laserschwei\DFen mit dem Kalman-Filter},
	year = {2005},
	school = {University of Heidelberg},
	author = {Humbert, S.}
}
@conference {zhang_05_voc,
	title = {Report about VOCs Dataset{\textquoteright}s Analysis based on Random Forests},
	booktitle = {Proceedings of the HPC-Asia05},
	year = {2005},
	pages = {603-607},
	publisher = {IEEE Computer Society Press},
	organization = {IEEE Computer Society Press},
	author = {Zhang, H. and Fred A. Hamprecht and Amann, A.}
}
@conference {Heiler-Schnoerr-05b,
	title = {Reverse-Convex Programming for Sparse Image Codes},
	booktitle = {Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR{\textquoteright}05)},
	series = {LNCS},
	volume = {3757},
	year = {2005},
	pages = {600-616},
	publisher = {Springer},
	organization = {Springer},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@incollection {Heiler-et-al-05,
	title = {Semidefinite Clustering for Image Segmentation with A-priori Knowledge},
	volume = {3663},
	year = {2005},
	pages = {309{\textendash}317},
	publisher = {Springer},
	author = {Heiler, M. and Keuchel, J. and Schn{\"o}rr, C.}
}
@article {frew2004,
	title = {Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films},
	journal = {J. Geophys. Res.},
	volume = {109},
	year = {2004},
	pages = {C08S17},
	doi = {10.1029/2003JC002131},
	author = {Nelson M. Frew and E. J. Bock and Uwe Schimpf and T. Hara and Horst Hau{\ss}ecker and J. B. Edson and W. R. McGilles and R. K. Nelson and S. P. McKenna and B. M. Uz and Bernd J{\"a}hne}
}
@conference {klar2004a,
	title = {Analysis of subsurface gravel layer flow caused by turbulent open-channel flow using 3D PTV and pressure sensor techniques},
	booktitle = {BAW-Workshop Soil and Bed Stability - Interaction Effects between Geotechnics and Hydraulic Engineering},
	year = {2004},
	author = {Michael Klar and Markus Jehle and Bernd J{\"a}hne and Detert, M. and Jirka G. H.}
}
@conference {jehle2004,
	title = {Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen},
	booktitle = {Mitteilungen des Instituts f{\"u}r Grundbau und Bodenmechanik},
	volume = {77},
	year = {2004},
	pages = {371-392},
	author = {Markus Jehle and Michael Klar and H.-J. K{\"o}hler and Heibaum, M.}
}
@conference {wshs-04,
	title = {Binary Tomography by Iterating Linear Programs from Noisy Projections},
	booktitle = {Combinatorial Image Analysis, Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}04)},
	series = {LNCS},
	volume = {3322},
	year = {2004},
	pages = {38{\textendash}51},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Weber, S. and Sch{\"u}le, T. and Hornegger, J. and Schn{\"o}rr, C.},
	editor = {Klette, R. and {\v Z}uni{\'c}, J.}
}
@incollection {hamprecht_04_classification,
	title = {Classification},
	year = {2004},
	pages = {509-519},
	publisher = {CRC Press},
	edition = {2nd},
	author = {Fred A. Hamprecht},
	editor = {Bernd J{\"a}hne}
}
@conference {menze_04_classification,
	title = {Classification of in vivo magnetic resonance spectra},
	booktitle = {Classification in ubiquitous challenge: Proceedings of the GfKl 2004},
	year = {2004},
	pages = {362-369},
	publisher = {Springer},
	organization = {Springer},
	author = {Bjoern H. Menze and Wormit, M. and Bachert, P. and M. P. Lichy and Schlemmer, H.-P. and Fred A. Hamprecht}
}
@phdthesis {hilsenstein2004,
	title = {Design and Implementation of a Passive Stereo-Infrared Imaging System for the Surface Reconstruction of Water Waves},
	year = {2004},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {To quantify air-sea exchange processes, an understanding of how they are influenced by water waves is necessary. This work presents a passive, infrared stereo-imaging system for the reconstruction of a wavy water surface. The system does not require a sub-merged light source, so it is suitable for field operation. The structure of the thesis is as follows. Previous work on water wave imaging is reviewed and the major problems with stereo-based reconstruction of water surfaces are identified: transparency, lack of texture and specular reflections. It is shown that many of these problems can be avoided by imaging at infrared wavelengths. Following a review of infrared radiometry, the key ingredients of surface reconstruction using the stereo principle are explained, including camera calibration, epipolar geometry and disparity estimation. A description of the stereo infrared camera system used in this work is given. An experimental validation of the system was performed at the Heidelberg wind-wave channel. Several stereo infrared image sequences of water waves recorded at this facility are used to demonstrate that a dense surface reconstruction of water waves is possible using this system. The accuracy of the reconstruction is experimentally assessed using a flat water surface as a reference plane.},
	url = {http://www.ub.uni-heidelberg.de/archiv/4601},
	author = {Volker Hilsenstein}
}
@phdthesis {herrmann2004,
	title = {Ein System zur schnellen Entwicklung von Bildverarbeitungsalgorithmen},
	year = {2004},
	publisher = {Univ.\ Mannheim},
	author = {Helmut Herrmann}
}
@conference {Keuchel-et-al-04a,
	title = {Hierarchical Image Segmentation based on Semidefinite Programming},
	booktitle = {Pattern Recognition, Proc. 26th DAGM Symposium},
	series = {lncs},
	volume = {3175},
	year = {2004},
	pages = {120-128},
	publisher = {Springer},
	organization = {Springer},
	author = {Keuchel, J. and Heiler, M. and Schn{\"o}rr, C.}
}
@article {Weber-et-al-04a,
	title = {A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections},
	journal = {Methods of Information in Medicine},
	volume = {43},
	number = {4},
	year = {2004},
	pages = {320{\textendash}326},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C. and Hornegger, J.}
}
@article {restle_04_nonparametric,
	title = {Nonparametric Smoothing of Height maps using {\textquoteleft}{\textquoteleft}Confidence{\textquoteright}{\textquoteright} values},
	journal = {Optical Engineering},
	volume = {43},
	number = {0049},
	year = {2004},
	pages = {866-871},
	doi = {10.1117/1.1666622},
	author = {J. Restle and Hissmann, M. and Fred A. Hamprecht}
}
@mastersthesis {heck_04_proximity,
	title = {Proximity Graphs for Nonlinear Dimension Reduction},
	year = {2004},
	school = {University of Heidelberg},
	author = {Heck, D.}
}
@incollection {hader_04_two-stage,
	title = {Two-Stage Classification with Automatic Feature Selection for an Industrial Application},
	year = {2004},
	pages = {137-144},
	publisher = {Springer},
	author = {S. Hader and Fred A. Hamprecht},
	editor = {Weihs, C. and Gaul, W.}
}
@article {hamprecht_04_bild,
	title = {Vom Bild zur Information},
	journal = {Ruperto Carola -- Forschungsmagazin der Universit{\"a}t Heidelberg},
	volume = {03.2004},
	number = {0051},
	year = {2004},
	pages = {9-12},
	doi = {http://www.uni-heidelberg.de/presse/ruca/ruca04-03/s09bild.html},
	author = {Fred A. Hamprecht and Bernd J{\"a}hne}
}
@booklet {hamprecht2004,
	title = {Vom Bild zur Information},
	year = {2004},
	author = {Fred A. Hamprecht and Bernd J{\"a}hne}
}
@conference {hissmann_03_bayessche,
	title = {Bayessche Sch{\"a}tzung von H{\"o}henkarten aus der Wei\DF licht-Interferometrie},
	booktitle = {Oberfl{\"a}chenmesstechnik 2003},
	year = {2003},
	pages = {187--196},
	author = {Hissmann, M. and Fred A. Hamprecht}
}
@techreport {Schuele-et-al-03,
	title = {Discrete Tomography By Convex-Concave Regularization and D.C. Programming},
	number = {15},
	year = {2003},
	note = {\em Discr. Appl. Math.\/, accepted for publication},
	month = {December},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Sch{\"u}le, T. and Schn{\"o}rr, C. and Weber, S. and Hornegger, J.}
}
@incollection {hader_03_efficient,
	title = {Efficient Density Clustering},
	year = {2003},
	pages = {39-48},
	publisher = {Springer},
	doi = {10.1007/b13634},
	author = {S. Hader and Fred A. Hamprecht},
	editor = {Schader, M. and Gaul, W. and Vichi, M.}
}
@incollection {hamprecht_03_exploring,
	title = {Exploring a space of materials: spatial sampling design and subset selection},
	year = {2003},
	note = {1},
	publisher = {Wiley},
	chapter = {13},
	author = {Fred A. Hamprecht and Agrell, E.},
	editor = {Cawse, J. N.}
}
@article {wenig2003,
	title = {Intercontinental transport of nitrogen oxide pollution plumes},
	journal = {Atmos. Chem. Phys.},
	volume = {3},
	year = {2003},
	pages = {387--393},
	doi = {10.5194/acp-3-387-2003},
	author = {Mark Wenig and N. Spichtinger and A. Stohl and G. Held and S. Beirle and T. Wagner and Bernd J{\"a}hne and Ulrich Platt}
}
@conference {Weber-et-al-03b,
	title = {A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections},
	booktitle = {Bildverarbeitung f{\"u}r die Medizin 2003},
	year = {2003},
	pages = {41{\textendash}45},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Weber, S. and Sch{\"u}le, T. and Schn{\"o}rr, C. and Hornegger, J.}
}
@conference {Weber-et-al-03a,
	title = {A Linear Programming Relaxation for Binary Tomography with Smoothness Priors},
	booktitle = {Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA{\textquoteright}03)},
	year = {2003},
	month = {May 14-16},
	address = {Palermo, Italy},
	author = {Weber, S. and Schn{\"o}rr, C. and Hornegger, J.}
}
@conference {Heiler-Schnoerr-03a,
	title = {Natural Statistics for Natural Image Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Computer Vision (ICCV 2003)},
	year = {2003},
	month = {Oct. 13-16},
	pages = {1259-1266},
	address = {Nice, France},
	author = {Heiler, M. and Schn{\"o}rr, C.}
}
@incollection {eisele_03_approach,
	title = {A new approach for defect detection in X-ray CT images},
	volume = {2449},
	year = {2003},
	pages = {345-352},
	publisher = {Springer},
	doi = {10.1007/3-540-45783-6},
	author = {H. Eisele and Fred A. Hamprecht},
	editor = {Luc Van Gool}
}
@incollection {hader_03_system,
	title = {System Concept for Image Sequence Classification in Laser Welding},
	volume = {2781},
	year = {2003},
	pages = {212-219},
	publisher = {Springer},
	doi = {10.1007/b12010},
	author = {S. Hader}
}
@article {Hinterberger-et-al-02,
	title = {Analysis of Optical Flow Models in the Framework of Calculus of Variations},
	journal = {Numer. Funct. Anal. Optimiz.},
	volume = {23},
	number = {1/2},
	year = {2002},
	pages = {69{\textendash}89},
	author = {Hinterberger, Walter and Scherzer, Otmar and Christoph Schn{\"o}rr and Weickert, Joachim}
}
@article {Keuchel-et-al-03a,
	title = {Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data},
	journal = {Remote Sensing of Environment},
	year = {2002},
	note = {Subitted},
	author = {Keuchel, J. and Naumann, S. and Heiler, M. and Siegmund, A.}
}
@article {hamprecht_02_chemical,
	title = {Chemical library subset selection algorithms: a unified derivation using spatial statistics},
	journal = {Journal of Chemical Information and Computer Sciences},
	volume = {42},
	year = {2002},
	pages = {414-428},
	author = {Fred A. Hamprecht and Thiel, W. and van Gunsteren, W. F.}
}
@article {jaehne_02_anspruchsvolle,
	title = {F{\"u}r Anspruchsvolle - Multidimensionale Bildverarbeitung in der Produktion},
	journal = {Qualit{\"a}t und Zuverl{\"a}ssigkeit},
	volume = {47},
	year = {2002},
	pages = {1154-1159},
	author = {Bernd J{\"a}hne and Martin Brocke and H. Eisele and S. Hader and Fred A. Hamprecht and W. Happold and Florian Raisch and J. Restle}
}
@article {wenig2002,
	title = {Intercontinental transport of nitrogen oxide pollution plumes},
	journal = {acpd},
	volume = {3},
	year = {2002},
	pages = {2151--2165},
	doi = {10.5194/acpd-2-2151-2002},
	author = {Mark Wenig and N. Spichtinger and A. Stohl and G. Held and S. Beirle and T. Wagner and Bernd J{\"a}hne and Ulrich Platt}
}
@conference {schimpf2002a,
	title = {On the investigations of statistical properties of the micro turbulence at the ocean surface},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {51--57},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0051},
	author = {Uwe Schimpf and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {garbe2002a,
	title = {Measuring the sea surface heat flux and probability distribution of surface renewal events},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {109-114},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0109},
	author = {Christoph S. Garbe and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@article {gee_02_molecular,
	title = {A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution},
	journal = {Helv. Chim. Acta},
	volume = {85},
	year = {2002},
	pages = {618-632},
	author = {Gee, P. J. and Fred A. Hamprecht and Schuler, L. D. and van Gunsteren, W. F. and Duchardt, E. and Schwalbe, H. and Albert, M. and Seebach, D.}
}
@article {jaehne2002g,
	title = {Multidimensionale Bildverarbeitung in der Produktion},
	journal = {QZ},
	volume = {47},
	year = {2002},
	pages = {1154--1159},
	url = {http://www.qz-online.de/qz-zeitschrift/archiv/artikel/multidimensionale-bildverarbeitung-in-der-produktion-fuer-anspruchsvolle-338129.html},
	author = {Bernd J{\"a}hne and Martin Brocke and H. Eisele and S. Hader and Fred A. Hamprecht and W. Happold and Florian Raisch and J. Restle}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision -- ECCV 2002)},
	volume = {2351},
	year = {2002},
	pages = {93--108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Johansen, P. and Nielsen, M.}
}
@conference {Cremers-et-al-02a,
	title = {Nonlinear Shape Statistics in Mumford-Shah Based Segmentation},
	booktitle = {Computer Vision {\textendash} ECCV 2002)},
	series = {lncs},
	volume = {2351},
	year = {2002},
	pages = {93{\textendash}108},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Daniel Cremers and Kohlberger, Timo and Christoph Schn{\"o}rr},
	editor = {Heyden, A. and Sparr, G. and Nielsen, M. and Johansen, P.}
}
@conference {bock2002,
	title = {Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {39--44},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0039},
	author = {E. J. Bock and J. B. Edson and Nelson M. Frew and T. Hara and Horst Hau{\ss}ecker and Bernd J{\"a}hne and W. R. McGilles and S. P. McKenna and R. K. Nelson and Uwe Schimpf and B. M. Uz},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@conference {haussecker2002,
	title = {Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	note = {invited},
	pages = {103--108},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	doi = {10.1029/GM127p0103},
	author = {Horst Hau{\ss}ecker and Uwe Schimpf and Christoph S. Garbe and Bernd J{\"a}hne},
	editor = {E. S. Saltzman and M. A. Donelan and R. Wanninkhof and W. M. Drennan}
}
@conference {hara2002a,
	title = {Surface wave observations during CoOP experiments and their relations to air-sea gas transfer},
	booktitle = {Gas Transfer at Water Surfaces},
	volume = {127},
	year = {2002},
	pages = {45--49},
	publisher = {American Geophysical Union},
	organization = {American Geophysical Union},
	author = {T. Hara and B. M. Uz and H. Wei and J. B. Edson and Nelson M. Frew and W. R. McGilles and S. P. McKenna and E. J. Bock and Horst Hau{\ss}ecker and Uwe Schimpf},
	editor = {M. A. Donelan and W. M. Drennan and R. Wanninkhof and E. S. Saltzman}
}
@article {Wiehler-et-al-01,
	title = {A 1D analog VLSI implementation for non-linear real-time signal preprocessing},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {127{\textendash}142},
	author = {Wiehler, K. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S. and Grigat, R.{\textendash}R.}
}
@article {haussecker2001,
	title = {Computing optical flow with physical models of brightness variation},
	journal = {IEEE Trans. Pattern Analysis Machine Intelligence},
	volume = {23},
	number = {6},
	year = {2001},
	pages = {661--673},
	abstract = {Although most optical flow techniques presume brightness constancy, it is well-known that this constraint is often violated, producing poor estimates of image motion. This paper describes a generalized formulation of optical flow estimation based on models of brightness variations that are caused by time-dependent physical processes. These include changing surface orientation with respect to a directional illuminant, motion of the illuminant, and physical models of heat transport in infrared images. With these models, we simultaneously estimate the 2D image motion and the relevant physical parameters of the brightness change model. The estimation problem is formulated using total least squares (TLS), with confidence bounds on the parameters. Experiments in four domains, with both synthetic and natural inputs, show how this formulation produces superior estimates of the 2D image motion},
	doi = {10.1109/34.927465},
	author = {Horst Hau{\ss}ecker and Fleet, D. J.}
}
@techreport {Heiler-et-al-02,
	title = {Efficient Feature Subset Selection for Support Vector Machines},
	number = {21/2001},
	year = {2001},
	note = {submitted},
	month = {Oct.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Heiler, M. and Daniel Cremers and Schn{\"o}rr, C.}
}
@article {Weickert-et-al-01a,
	title = {Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches},
	journal = {Real{\textendash}Time Imaging},
	volume = {7},
	number = {1},
	year = {2001},
	pages = {31{\textendash}45},
	author = {Weickert, J. and Heers, J. and Schn{\"o}rr, C. and Zuiderveld, K.{\textendash}J. and Scherzer, O. and Stiehl, H.{\textendash}S.}
}
@article {hamprecht_01_fibrillation,
	title = {Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation},
	journal = {Resuscitation},
	volume = {50},
	year = {2001},
	pages = {287-296},
	author = {Fred A. Hamprecht and Achleitner, U. and Krismer, A. C. and Lindner, K. H. and Wenzel, V. and Strohmenger, H.-U. and Thiel, W. and van Gunsteren, W. F.}
}
@incollection {barron2001,
	title = {The fusion of image and range flow},
	year = {2001},
	pages = {174--192},
	publisher = {Springer},
	doi = {10.1007/3-540-45134-X_13},
	author = {John L. Barron and Hagen Spies},
	editor = {R. Klette and Huang, T. and Gimel{\textquoteright}farb, G.}
}
@article {Heers-et-al-01,
	title = {Globally{\textendash}Convergent Iterative Numerical Schemes for Non{\textendash}Linear Variational Image Smoothing and Segmentation on a Multi{\textendash}Processor Machine},
	journal = {IEEE Trans. Image Proc.},
	volume = {10},
	number = {6},
	year = {2001},
	pages = {852{\textendash}864},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@incollection {huang2001,
	title = {Ocean wave spectra and integral properties},
	year = {2001},
	pages = {82--123},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511552076.005},
	author = {N. E. Huang and Y. Toba and Z. Shen and J. Klinke and Bernd J{\"a}hne and M. L. Banner},
	editor = {I. S. F. Jones and Y Toba}
}
@article {hamprecht_01_preliminary,
	title = {Preliminary results on the prediction of countershock success with fibrillation power},
	journal = {Resuscitation},
	volume = {50},
	year = {2001},
	pages = {297-299},
	author = {Fred A. Hamprecht and Jost, D. and R{\"u}ttimann, M. and Calamai, F. and Kowalski, J. J.}
}
@article {hamprecht_01_strategy,
	title = {A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization},
	journal = {Journal of Chemical Physics},
	volume = {114},
	year = {2001},
	pages = {2079-2089},
	author = {Fred A. Hamprecht and Peter, C. and Daura, X. and Thiel, W. and van Gunsteren, W. F.}
}
@incollection {spies2000e,
	title = {Analyzing particle movements at soil interfaces},
	year = {2000},
	pages = {648--649},
	publisher = {Academic Press},
	chapter = {A20},
	author = {Hagen Spies and Hermann Gr{\"o}ning and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {geissler2000,
	title = {Analyzing size spectra of oceanic air bubbles},
	year = {2000},
	pages = {634--635},
	publisher = {Academic Press},
	chapter = {A13},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {wenig2000,
	title = {Cloud classification analyzing image sequences},
	year = {2000},
	pages = {652--653},
	publisher = {Academic Press},
	chapter = {A22},
	author = {Mark Wenig and Carsten Leue and Ulrich Platt and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@book {jaehne2000c,
	title = {Computer Vision and Applications: A Guide for Students and Practitioners},
	year = {2000},
	pages = {679},
	publisher = {Academic Press},
	organization = {Academic Press},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {eichkorn2000,
	title = {Fluorescence imaging of air-water gas exchange},
	year = {2000},
	pages = {644-645},
	publisher = {Academic Press},
	chapter = {A18},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {hausecker2000d,
	title = {Fuzzy image processing},
	year = {2000},
	pages = {541--576},
	publisher = {Academic Press},
	chapter = {16},
	author = {Horst Hau{\ss}ecker and Hamid R. Tizhoosh and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {geissler2000b,
	title = {Imaging optics},
	year = {2000},
	pages = {53--84},
	publisher = {Academic Press},
	chapter = {3},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@conference {schimpf2000a,
	title = {On the investigations of micro turbulence at the water surface using infrared imaging},
	booktitle = {IARGSS 2000},
	year = {2000},
	doi = {10.1109/IGARSS.2000.858091},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {spies2000,
	title = {Material transport and structure changes at soil-water interfaces},
	booktitle = {Filters and Drainage in Geotechnical and Environmental Engineering},
	year = {2000},
	pages = {91--97},
	author = {Hagen Spies and Horst Hau{\ss}ecker and H.-J. K{\"o}hler}
}
@mastersthesis {hilsenstein2000,
	title = {Methoden der Bildfolgenanalyse zur Untersuchung nichtlinearer Wasseroberfl{\"a}chenwellen},
	year = {2000},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ. \ Heidelberg},
	author = {Volker Hilsenstein}
}
@incollection {geissler2000a,
	title = {Monitoring living biomass with in situ microscopy},
	year = {2000},
	pages = {632--633},
	publisher = {Academic Press},
	chapter = {A12},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {haussecker2000c,
	title = {Motion},
	year = {2000},
	pages = {347--395},
	publisher = {Academic Press},
	chapter = {10},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@article {uttenweiler2000,
	title = {Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.},
	journal = {Biophys J},
	volume = {78},
	number = {5},
	year = {2000},
	pages = {2709--2715},
	publisher = {Institut f{\"u}r Physiologie und Pathophysiologie, Ruprecht-Karls-Universit{\"a}t Heidelberg, 69120 Heidelberg, Germany. uttenweiler@urz.uni-heidelberg.de},
	abstract = {We present a novel approach of automatically measuring motion in series of microscopic fluorescence images. As a differential method, the three-dimensional structure tensor technique is used to calculate the displacement vector field for every image of the sequence, from which the velocities are subsequently derived. We have used this method for the analysis of the movement of single actin filaments in the in vitro motility assay, where fluorescently labeled actin filaments move over a myosin decorated surface. With its fast implementation and subpixel accuracy, this approach is, in general, very valuable for analyzing dynamic processes by image sequence analysis.},
	doi = {10.1016/S0006-3495(00)76815-9},
	author = {D. Uttenweiler and C. Veigel and R. Steubing and Carlo G{\"o}tz and Sven Mann and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Rainer H. A. Fink}
}
@incollection {jaehne2000d,
	title = {Neighborhood operators},
	year = {2000},
	pages = {273--345},
	publisher = {Academic Press},
	chapter = {9},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {leue2000,
	title = {NOX Emissions Retrieved from Satellite Images},
	year = {2000},
	pages = {654--655},
	publisher = {Academic Press},
	chapter = {A23},
	author = {Carsten Leue and Mark Wenig and Ulrich Platt and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {schmundt2000,
	title = {Optical leaf growth analysis},
	year = {2000},
	pages = {640-641},
	publisher = {Academic Press},
	chapter = {A16},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {engelmann2000b,
	title = {Particle-tracking velocimetry},
	year = {2000},
	pages = {646-647},
	publisher = {Academic Press},
	chapter = {A19},
	author = {D. Engelmann and M. St{\"o}hr and Christoph S. Garbe and Frank Hering and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {jaehne2000a,
	title = {Performance characteristics of low-level motion estimation in spatiotemporal images},
	year = {2000},
	note = {invited, Workshop Schloss Dagstuhl, March 16-20, 1998},
	pages = {pp. 139-152},
	publisher = {Kluwer, Dordrecht},
	doi = {10.1007/978-94-015-9538-4_12},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {R. Klette and H. S. Stiehl and K. Vincken and M. Viergever}
}
@incollection {haussecker2000a,
	title = {Radiation and illumination},
	year = {2000},
	pages = {11--52},
	publisher = {Academic Press},
	chapter = {2},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {haussecker2000b,
	title = {Radiometry of imaging},
	year = {2000},
	pages = {85--109},
	publisher = {Academic Press},
	chapter = {4},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@incollection {jaehne2000b,
	title = {Representation of multidimensional signals},
	year = {2000},
	pages = {211--272},
	publisher = {Academic Press},
	chapter = {8},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {schimpf2000b,
	title = {Small-scale air-sea interaction with thermography},
	year = {2000},
	pages = {638--639},
	publisher = {Academic Press},
	chapter = {A15},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {kuemmerlen2000,
	title = {Thermography to measure water relations of plant leaves},
	year = {2000},
	pages = {636--637},
	publisher = {Academic Press},
	chapter = {A14},
	author = {Bernd K{\"u}mmerlen and Stefan Dauwe and Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@incollection {geissler2000c,
	title = {Three-dimensional imaging algorithms},
	year = {2000},
	pages = {397--438},
	publisher = {Academic Press},
	chapter = {11},
	author = {Peter Gei{\ss}ler and Tobias Dierig and Hanspeter A. Mallot and Bernd J{\"a}hne},
	editor = {Hau\DFecker, H.}
}
@conference {Schnoerr-handbook-99b,
	title = {Variational Adaptive Smoothing and Segmentation},
	booktitle = {Computer Vision and Applications: A Guide for Students and Practitioners},
	year = {2000},
	pages = {459{\textendash}482},
	publisher = {Academic Press},
	organization = {Academic Press},
	address = {San Diego},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Hau{\ss}ecker, H.}
}
@inbook {stoehr1999,
	title = {4D particle tracking velocimetry applied to gas-liquid reactors},
	booktitle = {In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control.},
	year = {1999},
	pages = {270--279},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {M. St{\"o}hr and Christoph S. Garbe and D. Engelmann and Peter Gei{\ss}ler and Gomes, S. and Frank Hering and Bernd J{\"a}hne and F. Keil and W. Mackens and H. Vo{\ss} and Wagner, H.-G..},
	editor = {J. Werther}
}
@conference {schimpf1999b,
	title = {Air--sea gas transfer and micro turbulence at the ocean surface using infrared image processing},
	booktitle = {Geoscience and Remote Sensing Symposium, 1999. IGARSS apos;99 Proceedings. IEEE 1999 International},
	volume = {1},
	year = {1999},
	pages = {11--13},
	abstract = {To obtain an insight into the transfer process at the air-water interface new techniques for the quantitative investigation of the gas exchange have been developed. The controlled flux technique, CFT (Jahne et al. 1989) uses heat as a proxy tracer for gases to measure the air-sea gas transfer velocity with a high spatial and temporal resolution. The results of a field cruise and a laboratory study are discussed and compared with a model (Schimpf et al.) predicting the sea surface temperature distribution based on surface renewal (Danckwerts 1970). The sea surface temperature fluctuations associated with the interplay of diffusive and turbulent transport give direct insight into the mechanisms of gas transfer. Using infrared image processing the spatial structure of the micro turbulence at the ocean surface is analyzed.},
	doi = {10.1109/IGARSS.1999.773384},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@incollection {spies1999,
	title = {Analyzing particle movements at soil interfaces},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {699-718},
	publisher = {Academic Press},
	chapter = {32},
	author = {Hagen Spies and Oliver Beringer and Hermann Gr{\"o}ning and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {jaehne1999a,
	title = {Continuous and digital signals},
	volume = {2},
	year = {1999},
	pages = {9--34},
	publisher = {Academic Press},
	chapter = {2},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {geissler1999a,
	title = {Depth-from-focus for the measurement of size distributions of small particles},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {623-646},
	publisher = {Academic Press},
	chapter = {29},
	author = {Peter Gei{\ss}ler and Thomas Scholz and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@conference {spies1999a,
	title = {Differential range flow estimation},
	booktitle = {Proceedings of the 21th DAGM Symposium on Pattern Recognition},
	year = {1999},
	note = {DAGM award},
	pages = {309--316},
	doi = {10.1007/978-3-642-60243-6_36},
	author = {Hagen Spies and Horst Hau{\ss}ecker and Bernd J{\"a}hne and John L. Barron}
}
@incollection {noffz1999,
	title = {Field Programmable Gate Array image processing},
	volume = {3: Systems and Applications},
	year = {1999},
	publisher = {Academic Press},
	chapter = {2},
	author = {Noffz, K.-H. and Lay, R. and M{\"a}nner, R. and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {koehler1999,
	title = {Fluidisation and deformation of submerged soil due to fluctuating water level},
	booktitle = {XII Europ. Conference on Soil Mechanics and Geotechnical Engineering},
	year = {1999},
	pages = {1109--1115},
	author = {H.-J. K{\"o}hler and Hagen Spies and Oliver Beringer and Horst Hau{\ss}ecker}
}
@incollection {eichkorn1999,
	title = {Fluorescenceimaging of air-water gas exchange},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {647-662},
	publisher = {Academic Press},
	chapter = {30},
	author = {Sven Eichkorn and Thomas M{\"u}nsterer and Ulrike Lode and Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {haussecker1999g,
	title = {Fuzzy image processing},
	volume = {2: Signal Processing and Pattern Recognition},
	year = {1999},
	pages = {683--727},
	publisher = {Academic Press},
	chapter = {22},
	author = {Horst Hau{\ss}ecker and Hamid R. Tizhoosh and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@book {jaehne1999b,
	title = {Handbook of Computer Vision and Applications},
	year = {1999},
	publisher = {Academic Press},
	organization = {Academic Press},
	author = {Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {jaehne1999r,
	title = {The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction},
	booktitle = {The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	note = {Poster},
	doi = {10.5281/zenodo.14857},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Uwe Schimpf and G{\"u}nther Balschbach},
	editor = {M. L. Banner}
}
@conference {jaehne1999m,
	title = {The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction},
	booktitle = {Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	abstract = {The study of small-scale air sea interaction still lacks suitable facilities. No facilities are available with large fetches and correspondingly high wave ages. Furthermore almost no large facility is suitable for measurements with sea water, is clean enough for controllable experiments with surface films or sufficiently gas tight for gas exchange measurements. Currently a new large annular wind/wave facility with quasi unlimited fetch is under construction at the Institute for Environmental Physics of Heidelberg University. An annular facility is not a new idea. A 40 m diameter facility ({\textquoteleft}{\textquoteleft}storm basin{\textquoteright}{\textquoteright}) was already built shortly after World War II in Sevastopol for wind/wave interaction studies. Various small circular facilities for air-sea gas exchange studies have been used since the late seventies at Heidelberg University and later at Woods Hole Oceanographic Institution for air-sea gas exchange studies. The new facility builds on the experience with these facilities but now reaches a critical size. It has an outer diameter of 10 m, the channel is 0.65 m wide and 2.4 m high and can be filled with water up to a height of 1.2 m. It is thus a rather deep facility. Only the wind/wave flume of the Hydraulic facility at Scripps Institution of Oceanography is deeper with a depth of 1.5 m. Since the maximum phase speed of the waves is 3.4 m/s, high wave age conditions can be reached at least for low and medium wind speeds. The facility is designed for a maximum wind speed of 15 m/s. Water currents can be generated separately by a set of thrusters. The air space is gas tight and the materials that come into contact with the water and air make experiments possible with de-ionized water, artificial seawater, surfactants, and reactive gases. Water temperatures and heat fluxes across the interface range from 5o to 35oC and from -0.5 to 1 kW/m2, respectively. We plan to focus in the next decade on measurements revealing the mechanism of air-sea gas transfer including the effects of surfactants and waves. The new facility will be open for guest scientists. The experimental possibilities of the facility are detailed to show the opportunities for international cooperation.},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Uwe Schimpf and G{\"u}nther Balschbach}
}
@incollection {jaehne1999c,
	title = {Hyperspectral and color imaging},
	year = {1999},
	pages = {309--320},
	publisher = {Academic Press},
	chapter = {11},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {haussecker1999f,
	title = {Illumination sources and techniques},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {137--162},
	publisher = {Academic Press},
	chapter = {6},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999d,
	title = {Image warping},
	year = {1999},
	pages = {193--206},
	publisher = {Academic Press},
	chapter = {9},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {gei{\ss}ler1999,
	title = {Imaging optics},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {63--101},
	publisher = {Academic Press},
	chapter = {4},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {haussecker1999d,
	title = {Interaction of radiation with matter},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {37--62},
	publisher = {Academic Press},
	chapter = {3},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999e,
	title = {Interpolation},
	year = {1999},
	pages = {175--192},
	publisher = {Academic Press},
	chapter = {8},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@techreport {Heers-et-al-98b,
	title = {Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation},
	number = {283/99},
	year = {1999},
	month = {Jan.},
	institution = {Comp. Sci. Dept., AB KOGS},
	type = {Technical report},
	address = {University of Hamburg, Germany},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@incollection {jaehne1999f,
	title = {Local averaging},
	year = {1999},
	pages = {153--174},
	publisher = {Academic Press},
	chapter = {7},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {jaehne1999g,
	title = {Local structure},
	year = {1999},
	pages = {209--238},
	publisher = {Academic Press},
	chapter = {10},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {haussecker1999c,
	title = {Motion},
	volume = {2: Signal Processing and Pattern Recognition},
	year = {1999},
	pages = {309--396},
	publisher = {Academic Press},
	chapter = {13},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999h,
	title = {Multimedia architectures},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {31--52},
	publisher = {Academic Press},
	chapter = {3},
	author = {Bernd J{\"a}hne and Helmut Herrmann and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {jaehne1999i,
	title = {Multiresolutional signal representation},
	volume = {2},
	year = {1999},
	pages = {67--90},
	publisher = {Academic Press},
	chapter = {4},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {jaehne1999q,
	title = {Neighborhood operators},
	year = {1999},
	pages = {93--124},
	publisher = {Academic Press},
	chapter = {5},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@incollection {engelmann1999a,
	title = {Particle-tracking velocimetry},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {663-697},
	publisher = {Academic Press},
	chapter = {31},
	author = {D. Engelmann and M. St{\"o}hr and Christoph S. Garbe and Frank Hering and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {schmundt1999a,
	title = {Plant-leaf growth studied by image sequence analysis},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {719-735},
	publisher = {Academic Press},
	chapter = {33},
	author = {Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {jaehne1999k,
	title = {Principles of Filter Design},
	volume = {2},
	year = {1999},
	pages = {125--151},
	publisher = {Academic Press},
	author = {Bernd J{\"a}hne and Hanno Scharr and K{\"o}rkel, S. and Bernd J{\"a}hne and Horst Hau{\ss}ecker and Peter Gei{\ss}ler}
}
@incollection {haussecker1999b,
	title = {Radiation},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {7--35},
	publisher = {Academic Press},
	chapter = {2},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {haussecker1999e,
	title = {Radiometry of imaging},
	volume = {1: Sensors and Imaging},
	year = {1999},
	pages = {103--135},
	publisher = {Academic Press},
	chapter = {5},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {leue1999a,
	title = {Retrieval of Atmospheric Trace Gas Concentrations},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {783-805},
	publisher = {Academic Press},
	chapter = {37},
	author = {Carsten Leue and Mark Wenig and Ulrich Platt and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {jaehne1999l,
	title = {Spatial and fourier domain},
	year = {1999},
	pages = {35--66},
	publisher = {Academic Press},
	chapter = {3},
	author = {Bernd J{\"a}hne and Bernd J{\"a}hne and Horst Hau{\ss}ecker},
	editor = {Peter Gei{\ss}ler}
}
@conference {schimpf1999,
	title = {Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography},
	booktitle = {The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes},
	year = {1999},
	note = {Poster},
	doi = {10.5281/zenodo.14567},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {M. L. Banner}
}
@incollection {schimpf1999a,
	title = {Studies of small-scale air-sea interaction with active and passive thermography},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {751-762},
	publisher = {Academic Press},
	chapter = {35},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@incollection {kuemmerlen1999,
	title = {Thermography to measure water relations of plant leaves},
	volume = {3: Systems and Applications},
	year = {1999},
	pages = {763-781},
	publisher = {Academic Press},
	chapter = {36},
	author = {Bernd K{\"u}mmerlen and Stefan Dauwe and Dominik Schmund and Ulrich Schurr and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker}
}
@conference {haussecker1999a,
	title = {A total least squares framework for low-level analysis of dynamic scenes and processes},
	booktitle = {Proceedings of the 21th DAGM Symposium on Pattern Recognition},
	year = {1999},
	note = {DAGM award},
	pages = {240--249},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-60243-6_28},
	author = {Horst Hau{\ss}ecker and Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@conference {Schnoerr-handbook-99a,
	title = {Variational Methods for Adaptive Image Smoothing and Segmentation},
	booktitle = {Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition},
	volume = {2},
	year = {1999},
	pages = {451{\textendash}484},
	publisher = {Academic Press},
	organization = {Academic Press},
	address = {San Diego},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Hau{\ss}ecker, H. and Gei{\ss}ler, P.}
}
@article {jaehne1998,
	title = {Air-water gas exchange},
	journal = {Annu. Rev. Fluid Mech.},
	volume = {30},
	year = {1998},
	pages = {443--468},
	abstract = {The exchange of inert and sparingly soluble gases - including carbon dioxide, methane, and oxygen - between the atmosphere and oceans is controlled by a thin 20- to 200-um-thick boundary layer at the top of the ocean. The hydrodynamics in this layer are significantly different from boundary layers at rigid walls, since the orbital motion of the waves is of the same order as the velocities in the viscous boundary layer. Laboratory and field measurements show that wind waves significantly increase the gas transfer rate and that it is significantly influenced in this way by surfactants. Because of limited experimental techniques, the mechanisms for this enhancement and the structure of the turbulence in the boundary layer at a wavy water surface are still not known. A number of new imaging techniques are described that give direct insight into the processes and promise to trigger substantial theoretical progress in the near future.},
	doi = {10.1146/annurev.fluid.30.1.443},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker}
}
@conference {Heers-et-al-98a,
	title = {A class of parallel algorithms for nonlinear variational image segmentation},
	booktitle = {Proc. Noblesse Workshop on Non{\textendash}Linear Model Based Image Analysis (NMBIA{\textquoteright}98)},
	year = {1998},
	month = {July, 1{\textendash}3},
	address = {Glasgow, Scotland},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@article {hamprecht_98_development,
	title = {Development and assessment of new exchange-correlation functionals},
	journal = {Journal of Chemical Physics},
	volume = {109},
	year = {1998},
	pages = {6264-6271},
	doi = {10.1063/1.477267},
	author = {Fred A. Hamprecht and Cohen, A. J. and Tozer, D. J. and Handy, N. C.}
}
@conference {Wiehler-et-al-98,
	title = {Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi{\textendash}Dimensional Signals},
	booktitle = {Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications},
	year = {1998},
	month = {April, 14{\textendash}17},
	address = {London},
	author = {Wiehler, K. and Grigat, R.{\textendash}R. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.S.}
}
@conference {Heers-et-al-98c,
	title = {Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation},
	booktitle = {Proc. IEEE Int. Conf. Image Proc.},
	year = {1998},
	month = {Oct. 4{\textendash}7},
	address = {Chicago},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@conference {schimpf1998,
	title = {Measurements of air--sea gas transfer using active and passive thermography},
	booktitle = {Eurochem 387 "Remote Sensing of Slicks and Air--Sea Interactions"},
	year = {1998},
	author = {Uwe Schimpf and Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {haussecker1998,
	title = {Measurements of the air-sea gas transfer and its mechanisms by active and passive thermography},
	booktitle = {Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS {\textquoteright}98},
	volume = {1},
	year = {1998},
	pages = {484--486 vol.1},
	abstract = {In order to reliably measure air-sea gas transfer velocities in the field with a high spatial and temporal resolution a new technique has been developed called the controlled flux technique, CFT. The current implementation splits up into two independent techniques using active and passive thermography, respectively. The CFT field instrument has been successfully used during two research cruises along the California Pacific coast (MBL/CoOP, 1995) and on the North Atlantic (CoOP, 1997). In addition to in-situ gas transfer rates, thermography of the ocean surface gives direct insight into the mechanisms of gas transfer. It has been shown that surface renewal dominates the transfer processes even at low wind speeds.},
	doi = {10.1109/IGARSS.1998.702947},
	author = {Horst Hau{\ss}ecker and Uwe Schimpf and Bernd J{\"a}hne}
}
@conference {herrmann1998,
	title = {Modulare Software f{\"u}r die h{\"o}herdimensionale Bildverarbeitung},
	booktitle = {5. ABW-Workshop, TA Esslingen 20.--21.01.1998},
	year = {1998},
	doi = {10.5281/zenodo.14326},
	author = {Helmut Herrmann and Bernd J{\"a}hne}
}
@conference {Heers-et-al-dagm98,
	title = {Parallele und global konvergente iterative Minimierung nichtlinearer Variationsans{\"a}tze zur adaptiven Gl{\"a}ttung und Segmentation von Bildern},
	booktitle = {Mustererkennung 1998},
	series = {Informatik aktuell},
	year = {1998},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@article {hering1998,
	title = {Particle tracking velocimetry beneath water waves. part II : water waves},
	journal = {Exp. Fluids},
	volume = {24},
	number = {1},
	year = {1998},
	pages = {10-16},
	abstract = {Particle Tracking techniques described earlier in the first part of this paper (Hering et al. 1997) were used to study the flow field beneath mechanically generated and wind induced flow fields. Experiments were conducted at three different wind/wave facilities (Heidelberg, Delft and San Diego). Particle Tracking allows an extensive study of drift velocities, wave orbital motion and turbulent Reynolds Stress beneath water waves. Monte Carlo simulations show, that the effects of the moving water surface on the calculation of mean properties of a flow can easily be avoided by Lagrangian measurements. Due to micro-scale wave breaking friction velocity profiles show a significant increase of turbulence towards the interface.},
	doi = {10.1007/s003480050145},
	author = {Frank Hering and Dietmar Wierzimok and Carsten Leue and Bernd J{\"a}hne}
}
@conference {Wiehler-et-al-98b,
	title = {Real{\textendash}Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology},
	booktitle = {Mustererkennung 1998},
	series = {Informatik aktuell},
	year = {1998},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Wiehler, K. and Grigat, R.{\textendash}R. and Heers, J. and Schn{\"o}rr, C. and Stiehl, H.{\textendash}S.}
}
@conference {engelmann1998,
	title = {Stereo particle tracking},
	booktitle = {Proc. of the 8th International Symposium on Flow Visualization},
	year = {1998},
	pages = {240--249},
	doi = {10.5281/zenodo.14906},
	author = {D. Engelmann and Christoph S. Garbe and M. St{\"o}hr and Peter Gei{\ss}ler and Frank Hering and Bernd J{\"a}hne}
}
@conference {jaehne1998b,
	title = {Study of dynamical processes with tensor-based spatiotemporal image processing techniques},
	booktitle = {ECCV 1998},
	volume = {1407},
	year = {1998},
	pages = {322--336},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These applications require high accuracy for the estimation of the motion field since the most interesting parameters of the dynamical processes studied are contained in first-order derivatives of the motion field or in dynamical changes of the moving objects. Therefore the performance and optimization of low-level motion estimators is discussed. A tensor method tuned with carefully optimized derivative filters yields reliable and dense displacement vector fields (DVF) with an accuracy of up to a few hundredth pixels/frame for real-world images. The accuracy of the tensor method is verified with computer-generated sequences and a calibrated image sequence. With the improvements in accuracy the motion estimation is now rather limited by imperfections in the CCD sensors, especially the spatial nonuniformity in the responsivity. With a simple two-point calibration, these effects can efficiently be suppressed. The application of the techniques to the analysis of plant growth, to ocean surface microturbulence in IR image sequences, and to sediment transport is demonstrated.},
	doi = {10.1007/BFb0054750},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Hanno Scharr and Hagen Spies and Dominik Schmund and Ulrich Schurr}
}
@conference {haussecker1998a,
	title = {Tensor-based image sequence processing techniques for the study of dynamical processes},
	booktitle = {Proc. Intern. Symp. On Real-time Imaging and Dynamic Analysis},
	year = {1998},
	pages = {704--711},
	publisher = {International Society of Photogrammetry and Remote Sensing, ISPRS, Commision V},
	organization = {International Society of Photogrammetry and Remote Sensing, ISPRS, Commision V},
	author = {Horst Hau{\ss}ecker and Hagen Spies and Bernd J{\"a}hne}
}
@article {buehl_98_theoretical,
	title = {Theoretical Investigation of NMR Chemical Shifts and Reactivities of Oxovanadium (V) Compounds},
	journal = {Journal of Computational Chemistry},
	volume = {19},
	year = {1998},
	pages = {113-122},
	author = {B{\"u}hl, M. and Fred A. Hamprecht}
}
@article {kubinyi_98_threedimensional,
	title = {Threedimensional Quantitative Similarity-Activity Relationships (3DQSiAR) from SEAL Similarity Matrices},
	journal = {Journal of Medicinal Chemistry},
	volume = {41},
	year = {1998},
	pages = {2553-2564},
	author = {Kubinyi, H. and Fred A. Hamprecht and Mietzner, T.}
}
@conference {jaehne1997,
	title = {3D-Exploration mit einer sich bewegenden Kamera},
	booktitle = {Bildverarbeitung{\textquoteright}97, Forschen, Entwickeln, Anwenden},
	year = {1997},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14338},
	author = {Bernd J{\"a}hne and Helmut Herrmann},
	editor = {Ahlers, R. -J.}
}
@conference {hering1997,
	title = {A comprehensive study of algorithms for multidimensional flow field diagnostics},
	booktitle = {Proc. Optical 3D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997},
	year = {1997},
	pages = {436--443},
	publisher = {Wichmann},
	organization = {Wichmann},
	author = {Frank Hering and Horst Hau{\ss}ecker and Jochen Dieter and T. Netzsch and Bernd J{\"a}hne},
	editor = {A. Gr{\"u}n and H. Kahmen}
}
@article {hamprecht_97_generation,
	title = {Generation of pseudo-native protein structures for threading},
	journal = {Proteins},
	volume = {28},
	year = {1997},
	pages = {522-529},
	author = {Fred A. Hamprecht and Scott, W. R. P. and van Gunsteren, W. F.}
}
@article {hering1997a,
	title = {Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms},
	journal = {Exp. Fluids},
	volume = {23},
	number = {6},
	year = {1997},
	pages = {472--482},
	abstract = {A novel particle tracking system working with a high particle concentration for the measurement of flow fields beneath water waves is described. It features a 1-4 cm thick light sheet parallel to the main wave propagation direction so that the seeding particles stay long enough in the illuminated area to enable tracking over several wave periods. An area of up to 14.0x10.0 cm2 is observed by a CCD camera with up to 200 fields/s. The polychromatic scattering theory of small particles in a light sheet illumination is investigated, enabling the segmentation of individual particles at high particle concentration.},
	doi = {10.1007/s003480050137},
	author = {Frank Hering and Dietmar Wierzimok and Carsten Leue and Bernd J{\"a}hne}
}
@conference {reinecke1997a,
	title = {Rekonstruktion von Schreiberkurven},
	booktitle = {Mustererkennung 1997},
	year = {1997},
	pages = {527--536},
	publisher = {Springer},
	organization = {Springer},
	author = {Reinecke, H. and N. L. Fantana and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. Paulus and F. M. Wahl}
}
@incollection {liss1997,
	title = {Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases},
	year = {1997},
	pages = {1--33},
	publisher = {Cambridge University Press},
	doi = {10.1017/CBO9780511525025.002},
	author = {Peter S. Liss and A. J. Watson and E. J. Bock and Bernd J{\"a}hne and William E. Asher and Nelson M. Frew and L. Hasse and Gerald M. Korenowski and L. Merlivat and L. F. Phillips and P. Schl{\"u}ssel and D. K. Woolf},
	editor = {Peter S. Liss and Robert A. Duce}
}
@conference {jaehne1997j,
	title = {The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes},
	booktitle = {Proc.\ 3D Image Analysis and Synthesis{\textquoteright}97, Erlangen (Germany), November 17--18, 1997},
	year = {1997},
	pages = {107--114},
	publisher = {infix},
	organization = {infix},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Ulrich Platt and Ulrich Schurr and Mark Stitt},
	editor = {Hans-Peter Seidel and B. Girod and H. Niemann}
}
@conference {Gerloff-et-al-97,
	title = {Semi{\textendash}Automated Analysis of SXM Images},
	booktitle = {Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM{\textquoteright}97)},
	year = {1997},
	month = {July, 20{\textendash}25},
	address = {Hamburg, Germany},
	author = {Gerloff, S. and Hagemann, A. and Schn{\"o}rr, C. and Tieck, S. and Stiehl, H.S. and Dombrowski, R. and Dreyer, M. and Wiesendanger, R.}
}
@conference {jaehne1997k,
	title = {Softwarekonzepte und Algorithmen f{\"u}r die 3D-Bildverarbeitung},
	booktitle = {4. ABW Workshop, TA Esslingen 22.--23.01.1997},
	year = {1997},
	doi = {10.5281/zenodo.14324},
	author = {Bernd J{\"a}hne and Helmut Herrmann}
}
@conference {haussecker1997,
	title = {A tensor approach for precise computation of dense displacement vector fields},
	booktitle = {Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig},
	year = {1997},
	note = {DAGM award},
	pages = {199--208},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-60893-3_20},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {E. Paulus and F. M. Wahl}
}
@conference {waas1996,
	title = {Combined height/slope/curvature measurements of short ocean wind waves},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {383--388},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14000},
	author = {Stefan Waas and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {hering1996b,
	title = {Combined wave and flow field visualization for investigation of short-wave/long-wave interaction},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {133--138},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14002},
	author = {Frank Hering and Dietmar Wierzimok and W. K. Melville and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {koehler1996,
	title = {Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique},
	booktitle = {Proc. Geofilters 1996, Montreal},
	year = {1996},
	publisher = {Ecole Polytechnique Montreal},
	organization = {Ecole Polytechnique Montreal},
	author = {H.-J. K{\"o}hler and Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Lafleur, J. and Rollin, A. L.}
}
@mastersthesis {herrmann1996,
	title = {Eine vergleichende Studie zu der HISC-Rechnerarchitektur des Imagine-Rechners},
	year = {1996},
	school = {Fachbereich Informatik, FernUniv. Hagen},
	author = {Helmut Herrmann}
}
@conference {spedding1996,
	title = {Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {373--382},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14564},
	author = {G. R. Spedding and J. Klinke and S. R. Long},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {muensterer1996a,
	title = {A fluorescence technique to measure concentration profiles in the aqueous mass boundary layer},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {517--522},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13995},
	author = {Thomas M{\"u}nsterer and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@phdthesis {hering1996,
	title = {Lagrangesche Untersuchungen des Str{\"o}mungsfeldes unterhalb der wellenbewegten Wasseroberfl{\"a}che mittels Bildfolgenanalyse},
	year = {1996},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Frank Hering}
}
@conference {jaehne1996b,
	title = {Measurements of the modulation of short waves from image sequences},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {389--394},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13996},
	author = {Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@phdthesis {haussecker1996,
	title = {Messung und Simulation von kleinskaligen Austauschvorg{\"a}ngen an der Ozeanoberfl{\"a}che mittels Thermographie},
	year = {1996},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14789},
	author = {Horst Hau{\ss}ecker}
}
@book {jaehne1996c,
	title = {Mustererkennung 1996, 18. DAGM-Symposium Heidelberg, 11.{\textendash}13. September 1996},
	year = {1996},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-80294-2},
	author = {Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker},
	editor = {Frank Hering}
}
@conference {hering1996a,
	title = {A novel system for the combined measurement of wave- and flow-fields beneath wind induced water waves},
	booktitle = {Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing},
	volume = {31},
	number = {B5},
	year = {1996},
	pages = {231--236},
	doi = {10.5281/zenodo.14894},
	url = {http://www.isprs.org/proceedings/XXXI/congress/part5/},
	author = {Frank Hering and G{\"u}nther Balschbach and Bernd J{\"a}hne and P. Waldh{\"a}usl},
	editor = {K. Kraus}
}
@conference {Schnoerr-dagm-96,
	title = {Repr{\"a}sentation von Bilddaten mit einem konvexen Variationsansatz},
	booktitle = {Mustererkennung 1996},
	series = {Informatik aktuell},
	year = {1996},
	pages = {21{\textendash}28},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin, Heidelberg},
	author = {Schn{\"o}rr, C.},
	editor = {J{\"a}hne, B. and Gei{\ss}ler, P. and Hau{\ss}ecker, H. and Hering, I.}
}
@conference {jaehne1996a,
	title = {The role of active vision in exploring growth, transport, and exchange processes},
	booktitle = {Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996},
	volume = {4},
	year = {1996},
	pages = {194--202},
	publisher = {infix},
	organization = {infix},
	author = {Bernd J{\"a}hne and Horst Hau{\ss}ecker and Frank Hering and G{\"u}nther Balschbach and J. Klinke and Martin Lell and Dominik Schmund and Michael Schultz and Ulrich Schurr and Mark Stitt and Ulrich Platt},
	editor = {B Mertsching}
}
@conference {leue1996a,
	title = {Segmentierung von Partikelbildern in der Str{\"o}mungsvisualisierung},
	booktitle = {Proceedings of 18th DAGM-Symposium Mustererkennung},
	year = {1996},
	pages = {118--129},
	doi = {10.1007/978-3-642-80294-2_13},
	author = {Carsten Leue and Peter Gei{\ss}ler and Bernd J{\"a}hne and Bernd J{\"a}hne and Peter Gei{\ss}ler and Horst Hau{\ss}ecker},
	editor = {Frank Hering and Frank Hering}
}
@conference {haussecker1996a,
	title = {A tensor approach for local structure analysis in multi-dimensional images},
	booktitle = {3D Image Analysis and Synthesis},
	year = {1996},
	pages = {171--178},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne},
	editor = {Girod, G. and H. Niemann and Hans-Peter Seidel}
}
@conference {janssen1996,
	title = {The VIERS scatterometer algorithm},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {749--754},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.13994},
	author = {J. A. M. Janssen and C. J. Calkoen and van Halsema, D. and Bernd J{\"a}hne and P. A. E. M. Janssen and W. A. Oost and P. Snoeij and J. Vogelzang and H. Wallbrink},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {klinke1996a,
	title = {Wave number spectra of short wind waves: implications from laboratory studies},
	booktitle = {Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1996},
	pages = {367--372},
	publisher = {RSMAS, University of Miami},
	organization = {RSMAS, University of Miami},
	doi = {10.5281/zenodo.14001},
	author = {J. Klinke and Bernd J{\"a}hne},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {vliet1995,
	title = {Delft Hydraulics Large Wind-Wave Flume},
	booktitle = {Air-Water Gas Transfer---Selected Papers from the Third International Symposium of Air--Water Gas Transfer in Heidelberg},
	year = {1995},
	pages = {499--502},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10402},
	author = {van Vliet, P. and Frank Hering and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {bock1995b,
	title = {Description of the science plan for the April 1995 CoOP experiment, {\textquoteleft}gas transfer in coastal waters{\textquoteright}, performed from the research vessel New Horizon},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {801--810},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10408},
	author = {E. J. Bock and J. B. Edson and Nelson M. Frew and A. Karachintsev and W. R. McGilles and R. K. Nelson and K. Hansen and Bernd J{\"a}hne and T. Hara and B. M. Uz and Bernd J{\"a}hne and Jochen Dieter and J. Klinke and Horst Hau{\ss}ecker},
	editor = {E. C. Monahan}
}
@conference {haussecker1995d,
	title = {Effiziente Filterstrukturen auf Mehrgitter-Datenstrukturen},
	booktitle = {Bildverarbeitung{\textquoteright}95 - Forschen, Entwickeln, Anwenden},
	year = {1995},
	pages = {43--57},
	publisher = {Technische Akademie Esslingen},
	organization = {Technische Akademie Esslingen},
	doi = {10.5281/zenodo.14709},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and H.-J. K{\"o}hler},
	editor = {Ahlers, R. -J.}
}
@conference {hering1995d,
	title = {Enhanced turbulence beneath short wind-induced water waves as derived from Lagrangian flow fields},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {386},
	abstract = {Breaking waves and wind stress are a primary source for near-surface turbulence. Particle Tracking Velocimetry (PTV) was used developed to study turbulence beneath short wind-induced waterwaves at the circular wind-wave facility of the Institute for Environmental Physics. A thick light sheet (1-4 cm) was applied to illuminate small polystyrol seeding particles. The depth of the light sheet was chosen such that the particles stay long enough in the illuminated area to enable tracking over several wave periods. The flow field is observed by a digital CCD camera. Recording image sequences at up to 200 Hz allow an extensive study of the flow field. An automatic tracking algorithm was developed for the evaluation of the trajectories. Lagrangian flow field measurements offer an ideal approach to the study of drift profiles in the turbulent wave region, in addition yielding the thickness of that layer. Also bulk velocity and surface velocities can be derived. A measure for the turbulence was gained by the calculation of the friction velocity profile by correlating horizontal and vertical velocity components (eddy correlation technique). These profiles show a very interesting behavior. While the friction velocity profile is constant in the bulk, an abrupt enhancement of Reynolds stress from the bulk towards the water surface up to a factor of 10 is observed. The enhanced dissipation of kinetic energy beneath strong-breaking surface waves under fetch conditions was measured at Lake Ontario. Here, an enhancement dissipation factor of 5-60 was found. Our measurements now indicate that micro-scale wave breaking is sufficient to produce significant turbulence enhancement. This result contributes significantly to the understanding of gas exchange through the aqueous boundary layer and indicates that wave/turbulence interaction deserves further more detailed attention.},
	author = {Frank Hering and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {hering1995c,
	title = {Flow- and wave-fields associated with micro-scale wave breaking as measured simultaneously by particle tracking and wave slope visualization},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {385},
	abstract = {Longuet-Higgins predicted the development of a capillary roller at the crest of a short gravity wave, being the consequence of the existence of parasitic capillaries, (Capillary rollers and bores, J. Fluid Mech, Jan. 1992). According to the theory any free surface, at which the tangential stress vanishes, a surface vorticity is produced. The mean vorticity at the edge of the Stokes layer is of the order of 2(ak) f, ak being the slope and f the radian frequency of the wave. Hence capillary waves, with a high value of a are accompanied by particular large vorticity feeding the vortex roler at the crest of a short gravity wave. This phenomenon has been investigated at the circular facility of the Institute for Environmental Physics. At the same location, simultaneous time series of wave slope images and the Lagrangian flow field were obtained using an integrated optical set-up, including particle-tracking and wave-slope instruments. The particle tracking measurement yields drift- and bulk-velocities, Reynold stresses and the vorticity distribution beneath the wave, while the imaging wave slope gauges gives the 2D-slope and the height of the waves. First results from the measurement campaign of early 1995 will be presented.},
	author = {Frank Hering and G{\"u}nther Balschbach and M. Menzel and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {haussecker1995a,
	title = {Heat as a proxy tracer for gas exchange measurements in the field: principles and technical realization},
	booktitle = {Air--Water Gas Transfer: Selected Papers from the Third International Symposium on Air--Water Gas Transfer},
	year = {1995},
	pages = {405--413},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10401},
	author = {Horst Hau{\ss}ecker and Reinelt, S. and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {haussecker1995c,
	title = {Horizontal and vertical spatial structures of turbulence beneath short wind waves},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {384},
	abstract = {A poorly understood aspect of surface-wave physics is wave dissipation. Wave breaking may lead to enhanced turbulence levels and consequently enhanced viscous dissipation at the smallest scales. Recent laboratory, field and modelling studies have provided preliminary evidence that wave breaking may lead to dissipation levels one to two orders of magnitude greater than those in the classical logarithmic layer. However, the experimental techniques to study these phenomena are not well developed, and consequently the turbulence structure near the water surface is poorly understood. A method is described to simultaneously investigate the horizontal and vertical structure of the turbulent flow and wave fields at the water surface and in an intersecting two-dimensional vertical plane. The technique combines an active infrared technique (CFT) in the horizontal plane with digital particle imaging velocimetry (DPIV) in the vertical plane. The DPIV uses a CCD camera in an underwater housing to track submerged particles moving through a pulsed vertical laser light sheet aligned in the wind direction. The CFT uses infrared radiators to heat up the upper 20 micrometres of the water column and observes the resulting heat patterns with an infrared camera. Both instruments use digital image processing techniques to compute the flow variables and images of the turbulent structures. These initial experiments were conducted in the large wind-wave channel at Delft Hydraulics, The Netherlands, in September/October, 1994. The images show a dramatic transition from laminar to turbulent flow with the onset of significant wave activity coincident with vorticity transport from the surface to deeper layers.},
	author = {Horst Hau{\ss}ecker and R. Shear and W. K. Melville and Bernd J{\"a}hne}
}
@conference {haussecker1995,
	title = {In situ measurements of the air-sea gas transfer rate during the MBL/CoOP west coast experiment},
	booktitle = {Air-Water Gas Transfer - Selected Papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	pages = {775--784},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10407},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {haussecker1995b,
	title = {Interaction of short wind waves and turbulent shear flow as revealed by simultaneous wave slope and surface turbulence visualization},
	booktitle = {IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves},
	number = {19},
	year = {1995},
	pages = {387},
	abstract = {Much work has been undertaken to understand the energy balance of wind waves, but almost no studies about the interaction between waves and turbulence are available up to now. In order to observe waves and surface turbulence simultaneously, measurements were performed in the large wind wave flume of Delft Hydraulics, The Netherlands. A new instrumental setup was used, combining an imaging slope gauge (ISG) with an active infrared technique (CFT). The ISG records time series of the two-dimensional slope within an image sector of 0.4m by 0.4m and a temporal resolution of 16ms. With the CFT, infrared radiators are used to force a constant heat flux through the water surface. The resulting surface temperature within the first 20 fim is observed with a Radiance 1 focal plane array IR camera in the 3-5um wavelenght range. With digital image processing techniques the dynamical behaviour of the water surface can be extracted. The resulting image sequences of temperature patterns are used to compute the 2-D flow field at the water surface. The flow field and wave slope image sequences reveal the significant influence of the turbulence distribution on the shape of the short wind waves. By analyzing properties of the wave field as wave length and phase velocity provided by the ISG the spatial structures of the surface waves can be compared with the scales of the turbulence structures and their dynamics.},
	author = {Horst Hau{\ss}ecker and Markus Beyer and Bernd J{\"a}hne}
}
@conference {hering1995b,
	title = {Measurements of enhanced turbulence in short wind-induced water waves},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {775--784},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10328},
	author = {Frank Hering and Dietmar Wierzimok and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {dieter1995,
	title = {Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface},
	booktitle = {Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer},
	year = {1995},
	pages = {145--152},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10393},
	author = {Jochen Dieter and Frank Hering and Roland Bremeyer and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {Schnoerr-Peckar-95,
	title = {Motion-Based Identification of Deformable Templates},
	booktitle = {Proc. 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIP {\textquoteright}95)},
	series = {Lect. Notes in Comp. Sci.},
	volume = {970},
	year = {1995},
	month = {Sept. 6-8},
	pages = {122-129},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	address = {Prague, Czech Republic},
	author = {Schn{\"o}rr, C. and Peckar, W.},
	editor = {V. Hlav{\'a}{\v c}, R. {\v S}{\'a}ra}
}
@conference {hering1995a,
	title = {Particle tracking in space time sequences},
	booktitle = {Computer Analysis of Images and Patterns},
	volume = {970},
	year = {1995},
	pages = {294--301},
	publisher = {Springer},
	organization = {Springer},
	abstract = {A particle tracking technique at high particle concentration for the evaluation of flow fields beneath water waves is described. A 1-4 cm thick light sheet parallel to the main wave propagation direction was used to illuminate small polystyrol seeding particles. The depth of the light sheet was chosen such that the particles stay long enough in the illuminated area to enable tracking. An area of up to 14.0x10.0 cm2 is observed by a CCD camera. An automatic tracking algorithm is described to 800 particles/image, yielding both Lagrangian and Eulerian vector field. Test measurements show that the standard deviation for the velocity estimation is below 3\%.},
	doi = {10.1007/3-540-60268-2_309},
	author = {Frank Hering and Merle, M. and Dietmar Wierzimok and Bernd J{\"a}hne}
}
@conference {hering1995,
	title = {A robust technique for tracking particles over long image sequences},
	booktitle = {Proc. ISPRS Intercommission Workshop {\textquoteleft}From Pixels to Sequences{\textquoteright}, Zurich, March 22 - 24, 1995, In Int{\textquoteright}l Arch. of Photog. and Rem. Sens.},
	volume = {XXX-5W1},
	year = {1995},
	pages = {74--79},
	publisher = {RISC Books},
	organization = {RISC Books},
	doi = {10.5281/zenodo.14890},
	author = {Frank Hering and Merle, M. and Dietmar Wierzimok and Bernd J{\"a}hne},
	editor = {Baltsavias, E. P.}
}
@conference {frew1995a,
	title = {Variation of air--water gas transfer with wind stress and surface viscoelasticity},
	booktitle = {Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air-Water Gas Transfer},
	year = {1995},
	pages = {529--541},
	publisher = {AEON},
	organization = {AEON},
	doi = {10.5281/zenodo.10405},
	author = {Nelson M. Frew and E. J. Bock and W. R. McGilles and A. Karachintsev and T. Hara and Thomas M{\"u}nsterer and Bernd J{\"a}hne and Bernd J{\"a}hne},
	editor = {E. C. Monahan}
}
@conference {Heikkonen-icpr-94,
	title = {Building Trajectories via Selforganization from Spatiotemporal Features},
	booktitle = {12th Int. Conf. on Pattern Recognition},
	year = {1994},
	month = {Oct 9-13},
	address = {Jerusalem, Israel},
	author = {Heikkonen, J. and Koikkalainen, P. and Schn{\"o}rr, C.}
}
@conference {dieter1994a,
	title = {Flow measurements close to the free air/sea interface},
	booktitle = {Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994},
	volume = {II},
	year = {1994},
	pages = {22.2.1--6},
	author = {Jochen Dieter and Roland Bremeyer and Frank Hering}
}
@conference {hausecker1994,
	title = {In-situ measurements of the air-sea gas transfer using heat as a proxy tracer},
	booktitle = {Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994},
	year = {1994},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {Schnoerr-et-al-93,
	title = {Architekturkonzepte zur Bildauswertung},
	booktitle = {Grundlagen und Anwendungen der K{\"u}nstlichen Intelligenz, 17. Fachtagung f{\"u}r K{\"u}nstliche Intelligenz},
	year = {1993},
	pages = {268{\textendash}274},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin},
	author = {Schn{\"o}rr, C. and Niemann, H. and Kopecz, J.},
	editor = {Herzog, O. and Christaller, T. and Sch{\"u}tt, D.}
}
@conference {geissler1993a,
	title = {Depth-from-focus zur Bestimmung der Konzentration und Gr{\"o}{\ss}e von Gasblasen},
	booktitle = {Proc. 15. DAGM-Symposium Mustererkennung},
	year = {1993},
	note = {DAGM award},
	pages = {560--567},
	publisher = {Springer},
	organization = {Springer},
	author = {Peter Gei{\ss}ler and Bernd J{\"a}hne and S. J. P{\"o}ppl},
	editor = {H. Handels}
}
@conference {haussecker1993a,
	title = {Ein Mehrgitterverfahren zur Bewegungssegmentierung in Bildfolgen},
	booktitle = {Proc. 15. DAGM-Symposium Mustererkennung},
	year = {1993},
	pages = {27--31},
	doi = {10.5281/zenodo.14549},
	author = {Horst Hau{\ss}ecker and Bernd J{\"a}hne}
}
@conference {jaehne1993,
	title = {Image sequence analysis of ocean wind waves},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {257--268},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne and J. Klinke and Peter Gei{\ss}ler and Frank Hering},
	editor = {S. Sideman and K. Hijikata}
}
@conference {jaehne1993a,
	title = {Imaging of gas transfer across gas/liquid interfaces},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {247--256},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne},
	editor = {S. Sideman and K. Hijikata}
}
@mastersthesis {haussecker1993,
	title = {Mehrgitter-Bewegungssegmentierung in Bildfolgen mit Anwendung zur Detektion von Sedimentverlagerungen},
	year = {1993},
	note = {IUP D-409},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14550},
	author = {Horst Hau{\ss}ecker}
}
@conference {Sprengel-Schnoerr-dagm-93,
	title = {Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme},
	booktitle = {Mustererkennung 1993, 15. DAGM-Symposium},
	year = {1993},
	pages = {134{\textendash}141},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	author = {Sprengel, R. and Schn{\"o}rr, C.},
	editor = {P{\"o}ppl, S.J. and Handels, H.}
}
@conference {wierzimok1993,
	title = {Quantitative imaging of transport in fluids with digital particle tracking velocimetry},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {297--308},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Dietmar Wierzimok and Frank Hering},
	editor = {S. Sideman and K. Hijikata}
}
@conference {jaehne1993d,
	title = {Shape from shading techniques for short ocean wind waves},
	booktitle = {Imaging in Transport Processes},
	year = {1993},
	pages = {269--281},
	publisher = {Begell House Publishers},
	organization = {Begell House Publishers},
	url = {http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html},
	author = {Bernd J{\"a}hne and Stefan Waas and J. Klinke},
	editor = {S. Sideman and K. Hijikata}
}
@conference {janssen1993,
	title = {The VIERS scatterometer algorithm},
	booktitle = {Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993},
	year = {1993},
	pages = {749--754},
	publisher = {University of Miami},
	organization = {University of Miami},
	doi = {10.5281/zenodo.13994},
	author = {J. A. M. Janssen and C. J. Calkoen and van Halsema, D. and Bernd J{\"a}hne and P. A. E. M. Janssen and W. A. Oost and P. Snoeij and J. Vogelzang and H. Wallbrink},
	editor = {M. A. Donelan and W. H. Hui and W. J. Plant}
}
@conference {netzsch1992,
	title = {Dreidimensionale Messung turbulenter Str{\"o}mung mit Bildverarbeitung},
	booktitle = {Proc. 14. DAGM-Symposium zur Mustererkennung},
	year = {1992},
	pages = {150--153},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-77785-1_18},
	author = {T. Netzsch and Bernd J{\"a}hne},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@conference {Schnoerr-Neumann-dagm-92,
	title = {Ein Ansatz zur effizienten und eindeutigen Rekonstruktion st{\"u}ckweise glatter Funktionen},
	booktitle = {Mustererkennung 1992, 14. DAGM-Symposium},
	year = {1992},
	month = {sep},
	pages = {411{\textendash}416},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Dresden},
	author = {Schn{\"o}rr, C. and Neumann, B.},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@mastersthesis {hering1992,
	title = {Messungen von Transportgeschwindigkeiten in winderzeugten Wasserwellen mittels digitaler Bildfolgenanalyse},
	year = {1992},
	note = {IUP D-317},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Frank Hering}
}
@conference {wierzimok1992,
	title = {Tracking in Str{\"o}mungsbildfolgen},
	booktitle = {Proc. 14. DAGM-Symposium Mustererkennung},
	year = {1992},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-77785-1_19},
	author = {Dietmar Wierzimok and Frank Hering and Frank Brunswig},
	editor = {Fuchs, S. and Hoffmann, R.}
}
@inbook {halsema1989a,
	title = {First results of the VIERS-1 experiment},
	booktitle = {Radar Scattering from Modulated Wind Waves},
	year = {1989},
	pages = {49--57},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	doi = {10.1007/978-94-009-2309-6_5},
	author = {Halsema, D. and Bernd J{\"a}hne and C. J. Calkoen and P. Snoeij},
	editor = {W. A. Oost and Komen, G. J. and W. A. Oost}
}
@conference {Schnoerr-dagm-89,
	title = {Zur Sch{\"a}tzung von Geschwindigkeitsvektorfeldern in Bildfolgen mit einer richtungsabh{\"a}ngigen Glattheitsforderung},
	booktitle = {Mustererkennung 1989, 11. DAGM-Symposium},
	series = {Informatik-Fachberichte},
	volume = {219},
	year = {1989},
	pages = {294{\textendash}301},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Hamburg},
	author = {Schn{\"o}rr, C.},
	editor = {Burkhardt, H. and H{\"o}hne, K.H. and Neumann, B.}
}
@article {jaehne1987a,
	title = {Measurement of the diffusion coefficients of sparingly soluble gases in water},
	journal = {J. Geophys. Res.},
	volume = {92},
	number = {C10},
	year = {1987},
	pages = {10,767--10,776},
	abstract = {The diffusion coefficients D of important gas tracers dissolved in water and seawater were measured with a modified Barrer method. The measurements include the gases He, Ne, Kr, Xe, H2, CH4, and CO2 dissolved in distilled water in the temperature range from 5 to 35{\textdegree}C, and He and H2 dissolved in seawater in the same temperature range. The maximum systematic error is estimated to be well below 5\%. The isotopic fractionation in the diffusion coefficient was determined to be (0.87 {\textpm} 0.05) for 13CO2/12CO2 and (15 {\textpm} 3)\% for 3He/4He.},
	doi = {10.1029/JC092iC10p10767},
	author = {Bernd J{\"a}hne and Gerhard Heinz and Wolfgang Dietrich}
}
@article {jaehne1987b,
	title = {On the parameters influencing air-water gas exchange},
	journal = {J. Geophys. Res.},
	volume = {92},
	year = {1987},
	pages = {1937--1950},
	abstract = {Detailed gas exchange measurements from two circular and one linear wind/wave tunnels are presented. Heat, He, CH4, CO2, Kr, and Xe have been used as tracers. The experiments show the central importance of waves for the water-side transfer process. With the onset of waves the Schmidt number dependence of the transfer velocity k changes from k proportional to Sc^-2/3 to k proportional to Sc^-1/2 indicating a change in the boundary conditions at the surface. Moreover, energy put into the wave field by wind is transferred to near-surface turbulence enhancing gas transfer. The data show that the mean square slope of the waves is the best parameter to characterize the free wavy surface with respect to water-side transfer processes.},
	doi = {10.1029/JC092iC02p01937},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich and R. B{\"o}singer and A. Dutzi and Werner A. Huber and P. Libner}
}
@phdthesis {huber1987,
	title = {Zweidimensionale Wellenzahlspektren von Wasseroberfl{\"a}chenwellen: Aufbau eines neuartigen Verfahrens},
	year = {1987},
	note = {IUP D-229},
	publisher = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	url = {http://d-nb.info/881465860},
	author = {Werner A. Huber}
}
@mastersthesis {heinz1986,
	title = {Messung der Diffusionskonstanten von in Wasser gel{\"o}sten Gasen mit einem modifizierten Barrerverfahren},
	year = {1986},
	note = {IUP D-217},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	author = {Gerhard Heinz}
}
@mastersthesis {huber1984,
	title = {Aufbau eines gaschromatographischen Messsystems f{\"u}r Gasaustauschmessungen; Windkanalmessungen zur Schmidtzahl- und Wellenbildabh{\"a}ngigkeit des Gasaustausches},
	year = {1984},
	note = {IUP D-178},
	school = {Institut f{\"u}r Umweltphysik, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	doi = {10.5281/zenodo.14544},
	author = {Werner A. Huber}
}
@conference {jaehne1984b,
	title = {Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange},
	booktitle = {Gas transfer at water surfaces},
	year = {1984},
	pages = {303--309},
	publisher = {Reidel},
	organization = {Reidel},
	doi = {10.1007/978-94-017-1660-4_28},
	author = {Bernd J{\"a}hne and Werner A. Huber and A. Dutzi and Thomas Wais and Johann Ilmberger},
	editor = {W. Brutsaert and G. H. Jirka}
}
@incollection {tschiersch1980a,
	title = {Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch},
	number = {17},
	year = {1980},
	pages = {63--70},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10260},
	author = {Tschiersch, J. and Bernd J{\"a}hne},
	editor = {H. C. Broecker and L. Hasse}
}
@incollection {jaehne1980a,
	title = {The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel},
	number = {17},
	year = {1980},
	pages = {103--108},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10262},
	author = {Bernd J{\"a}hne and U. Siegenthaler},
	editor = {H. C. Broecker and L. Hasse}
}
@incollection {jaehne1980,
	title = {Momentum induced gas exchange through a smooth water surface, models and experimental results from linear and circular wind-water tunnels},
	number = {17},
	year = {1980},
	pages = {55--62},
	publisher = {Univ. Hamburg},
	doi = {10.5281/zenodo.10257},
	author = {Bernd J{\"a}hne and K. O. M{\"u}nnich},
	editor = {H. C. Broecker and L. Hasse}
}
