E.  Fita, Damrich, S., and Hamprecht, F. A., ?The Algebraic Path Problem for Graph Metrics?, 39th International Conference on Machine Learning, PMLR. Proceedings , vol. 162. pp. 19178-19204, 2022.

Q.  Garrido, Damrich, S., Jäger, A., Cerletti, D., Claassen, M., Najman, L., and Hamprecht, F. A., ?Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder?, Bioinformatics, vol. 38 (Suppl 1), pp. i316-i324, 2022.

M.  Haußmann, ?Bayesian Neural Networks for Probabilistic Machine Learning?. Heidelberg University, 2021.

A.  Vijayan, Tofanelli, R., Strauss, S., Cerrone, L., Wolny, A., Strohmeier, J., Kreshuk, A., Hamprecht, F. A., Smith, R. S., and Schneitz, K., ?A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule?, eLife, 2021.

E.  Fita, Damrich, S., and Hamprecht, F. A., ?Directed Probabilistic Watershed?, NeurIPS. Proceedings, vol. 34. 2021.

M.  Kandemir, Agkül, A., Haußmann, M., and Ünal, G., ?Evidential Turing Processes?. arXiv preprint, 2021.

E.  Jenner, Fita, E., and Hamprecht, F. A., ?Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice?, ICCV. Proceedings. pp. 4602-4611, 2021.

L. M.  Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., ?Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana?, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.

A.  Andersson, Diego, F., Hamprecht, F. A., and Wählby, C., ?ISTDECO: In Situ Transcriptomics Decoding by Deconvolution?, bioRxiv, 2021.

M.  Haußmann, Gerwinn, S., Look, A., Rakitsch, B., and Kandemir, M., ?Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes?, International Conference on Artificial Intelligence and Statistics , vol. PMLR 130. pp. 478-486, 2021.

C.  Pape, Remme, R., Wolny, A., Olberg, S., Wolf, S., Cerrone, L., Cortese, M., Klaus, S., Lucic, B., Ullrich, S., Anders-Össwein, M., Wolf, S., Cerikan, B., Neufeldt, C. J., Ganter, M., Schnitzler, P., Merle, U., Lusic, M., Boulant, S., Stanifer, M., Bartenschlager, R., Hamprecht, F. A., Kreshuk, A., Tischer, C., Kräusslich, H. - G., Müller, B., and Laketa, V., ?Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera?, BioEssays, vol. 43, no. 3, 2021.

F. C.  Walter, Damrich, S., and Hamprecht, F. A., ?MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons?, ISBI. pp. 295-298, 2021.

D.  Kotovenko, Wright, M., Heimbrecht, A., and Ommer, B., ?Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

H.  Arlt, Sui, X., Folger, B., Adams, C., Chen, X., Remme, R., Hamprecht, F. A., DiMaio, F., Liao, M., Goodman, J. M., Farese, R. V., and Walther, T. C., ?Seipin forms a flexible cage at lipid droplet formation sites?. bioRxiv, 2021.

S.  Damrich and Hamprecht, F. H., ?UMAP does not reproduce high-dimensional similarities due to negative sampling?. arXiv preprint, 2021.

S.  Damrich and Hamprecht, F. A., ?On UMAP's True Loss Function?, NeurIPS. Proceedings, vol. 34. 2021.

M.  Bellagente, Haußmann, M., Luchmann, M., and Plehn, T., ?Understanding Event-Generation Networks via Uncertainties?. arXiv preprint, 2021.

B.  Brattoli, Büchler, U., Dorkenwald, M., Reiser, P., Filli, L., Helmchen, F., Wahl, A. - S., and Ommer, B., ?Unsupervised behaviour analysis and magnification (uBAM) using deep learning?, Nature Machine Intelligence, 2021.

A.  Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., ?Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution?, eLife, vol. 9, 2020.

A.  Krull, Hirsch, P., Rother, C., Schiffrin, A., and Krull, C., ?Artificial-intelligence-driven scanning probe microscopy?, Communications Physics, vol. 3, 2020.

C.  Schnörr, ?Assignment Flows?, Handbook of Variational Methods for Nonlinear Geometric Data. Springer, p. 235?260, 2020.

M.  Haußmann, Gerwinn, S., and Kandemir, M., ?Bayesian Evidential Deep Learning with PAC Regularization ?, 3rd Symposium on Advances in Approximate Bayesian Inference . 2020.

S.  Bollweg, Haußmann, M., Kasieczka, G., Luchmann, M., Plehn, T., and Thompson, J., ?Deep-Learning Jets with Uncertainties and More?, SciPost Phys, vol. 8, no. 1, 2020.

E.  Kirschbaum, Bailoni, A., and Hamprecht, F. A., ?DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging?, MICCAI. Proceedings. pp. 151-162, 2020.

T. M.  Hehn, Kooij, J. F. P., and Hamprecht, F. A., ?End-to-End Learning of Decision Trees and Forests?, International Journal of Computer Vision, vol. 128, pp. 997-1011, 2020.

S.  Wolf, Hamprecht, F. A., and Funke, J., ?Inpainting Networks Learn to Separate Cells in Microscopy Images?, BMCV. 2020.

S.  Wolf, Hamprecht, F. A., and Funke, J., ?Instance Separation Emerges from Inpainting?, arXiv preprint arXiv:2003.00891, 2020.

S.  Wolf, Bailoni, A., Pape, C., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, pp. 3724-3738, 2020.

S.  Haller, Prakash, M., Hutschenreiter, L., Pietzsch, T., Rother, C., Jug, F., Swoboda, P., and Savchynskyy, B., ?A Primal-Dual Solver for Large-Scale Tracking-by-Assignment?, AISTATS 2020. 2020.

A.  Bailoni, Pape, C., Wolf, S., Kreshuk, A., and Hamprecht, F. A., ?Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks?, GCPR, vol. 12544. Springer, pp. 331-344, 2020.

S.  Wolf, Li, Y., Pape, C., Bailoni, A., Kreshuk, A., and Hamprecht, F. A., ?The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation?, ECCV. Proceedings. pp. 208-224, 2020.

C.  Schnörr, ?Assignment Flows?, Variational Methods for Nonlinear Geometric Data and Applications. Springer, 2019.

M.  Haußmann, Gerwinn, S., and Kandemir, M., ?Bayesian Prior Networks with PAC Training?, arXiv preprint arXiv:1906.00816, 2019.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Deep Active Learning with Adaptive Acquisition?, IJCAI. Proceedings. pp. 2470-2476, 2019.

W.  Li, Hosseini Jafari, O., and Rother, C., ?Deep Object Co-segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 638?653.

L.  Cerrone, Zeilmann, A., and Hamprecht, F. A., ?End-to-End Learned Random Walker for Seeded Image Segmentation?, CVPR. Proceedings. pp. 12559-12568, 2019.

A.  Imle, Kumberger, P., Schnellbächer, N. D., Fehr, J., Carillo-Bustamente, P., Ales, J., Schmidt, P., Ritter, C., Godinez, W. J., Müller, B., Rohr, K., Hamprecht, F. A., Schwarz, U. S., Graw, F., and Fackler, O. T., ?Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures?, Nature Communications, vol. 13;10(1), 2019.

D. M.  Kirchhöfer, Holst, G. A., Wouters, F. S., Hock, S., and Jähne, B., ?Extended noise equalisation for image compression in microscopical applications?, tm - Technisches Messen, vol. 86, pp. 422?432, 2019.

S.  Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?ilastik: interactive machine learning for (bio)image analysis?, Nature Methods, vol. 16, pp. 1226-1232, 2019.

O.  Hosseini Jafari, Mustikovela, S. Karthik, Pertsch, K., Brachmann, E., and Rother, C., ?iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11363 LNCS, pp. 477?492.

P.  Hanslovsky, ?Isotropic Reconstruction of Neural Morphology from Large Non-Isotropic 3D Electron MIcroscopy?. Heidelberg University, 2019.

R.  Hühnerbein, Savarino, F., Petra, S., and Schnörr, C., ?Learning Adaptive Regularization for Image Labeling Using Geometric Assignment?, preprint: arXiv, 2019.

R.  Hühnerbein, Savarino, F., Petra, S., and Schnörr, C., ?Learning Adaptive Regularization for Image Labeling Using Geometric Assignment?, in Proc. SSVM, 2019.

E.  Kirschbaum, Haußmann, M., Wolf, S., Sonntag, H., Schneider, J., Elzoheiry, S., Kann, O., Durstewitz, D., and Hamprecht, F. A., ?LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos?, ICLR. Proceedings. 2019.

W.  Li, Hosseini Jafari, O., and Rother, C., ?Localizing Common Objects Using Common Component Activation Map?, 2019.

F.  E Sanmartin, Damrich, S., and Hamprecht, F. A., ?Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning?, in Advances in Neural Information Processing Systems, 2019.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation?, UAI. Proceedings. pp. 563-573, 2019.

M.  Esposito, Hennersperger, C., Göbl, R., Demaret, L., Storath, M., Navab, N., Baust, M., and Weinmann, A., ?Total variation regularization of pose signals with an application to 3D freehand ultrasound?, IEEE Transactions on Medical Imaging, vol. 38(10), pp. 2245-2258, 2019.

P.  Esser, Haux, J., and Ommer, B., ?Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis?, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.

T.  Hoda?, Michel, F., Brachmann, E., Kehl, W., Buch, A. Glent, Kraft, D., Drost, B., Vidal, J., Ihrke, S., Zabulis, X., Sahin, C., Manhardt, F., Tombari, F., Kim, T. Kyun, Matas, J., and Rother, C., ?BOP: Benchmark for 6D object pose estimation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11214 LNCS, pp. 19?35.

T.  Hehn and Hamprecht, F. A., ?End-to-end Learning of Deterministic Decision Trees?, German Conference on Pattern Recognition. Proceedings, vol. LNCS 11269. Springer, pp. 612-627, 2018.

F.  Draxler, Veschgini, K., Salmhofer, M., and Hamprecht, F. A., ?Essentially No Barriers in Neural Network Energy Landscape?, ICML. Proceedings, vol. 80. p. 1308--1317, 2018.

S.  Haller, Swoboda, P., and Savchynskyy, B., ?Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation?, in Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?, SIAM J. Imaging Science, vol. 11, pp. 1317?1362, 2018.

O.  Hosseini Jafari, Mustikovela, S. K., Pertsch, K., Brachmann, E., and Rother, C., ?iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects?, ACCV. Proceedings, in press. 2018.

M.  Weiler, Hamprecht, F. A., and Storath, M., ?Learning Steerable Filters for Rotation Equivariant CNNs?, CVPR. Proceedings. pp. 849-858, 2018.

S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning?, ECCV. Proceedings. Springer, pp. 571-587, 2018.

S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image Partitioning?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 571?587.

N.  Rahaman, Arpit, D., Baratin, A., Draxler, F., Lin, M., Hamprecht, F. A., Bengio, Y., and Courville, A., ?On the spectral bias of deep neural networks?, arXiv preprint arXiv:1806.08734, 2018.

K.  Bredies, Holler, M., Storath, M., and Weinmann, A., ?Total Generalized Variation for Manifold-valued Data?, SIAM Journal on Imaging Sciences, vol. 11, no. 3, pp. 1785 - 1848, 2018.

P.  Esser, Haux, J., Milbich, T., and Ommer, B., ?Towards Learning a Realistic Rendering of Human Behavior?, in European Conference on Computer Vision (ECCV - HBUGEN), 2018.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Active machine learning for training an event classification?, Patent, Patent Number WO2017032775 A1, 2017.

O.  Hosseini Jafari, Groth, O., Kirillov, A., Yang, M. Ying, and Rother, C., ?Analyzing modular CNN architectures for joint depth prediction and semantic segmentation?, in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4620?4627.

L. Gerhard Holtmann, ?Aufbau eines aktiven Thermographiesystems zur Messung des Geschwindigkeitsgradienten in der windgetriebenen wasserseitigen viskosen Grenzschicht?, Institut für Umweltphysik, Universität Heidelberg, Germany, 2017.

A.  Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., ?Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios??, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593?2602.

A.  Behl, Hosseini Jafari, O., Mustikovela, S. Karthik, Abu Alhaija, H., Rother, C., and Geiger, A., ?Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios??, in Proceedings of the IEEE International Conference on Computer Vision, 2017, vol. 2017-Octob, pp. 2593?2602.

S.  Peter, Diego, F., Hamprecht, F. A., and Nadler, B., ?Cost-efficient Gradient Boosting?, NIPS, poster. 2017.

C.  Haubold, Uhlmann, V., Unser, M., and Hamprecht, F. A., ?Diverse M-best Solutions by Dynamic Programming?, GCPR. Proceedings, vol. LNCS 10496. Springer, pp. 255-267, 2017.

V.  Uhlmann, Haubold, C., Hamprecht, F. A., and Unser, M., ?Diverse Shortest Paths for Bioimage Analysis?, Bioinformatics, pp. 1-3, 2017.

M.  Storath, Brandt, C., Hofmann, M., Knopp, T., Salamon, J., Weber, A., and Weinmann, A., ?Edge preserving and noise reducing reconstruction for magnetic particle imaging?, IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 74 - 85, 2017.

R.  Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., ?Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment?. 2017.

J.  Hennies, ?Improvement and Validation of Neural EM Volume Image Segmentation by High-Level Information?, University of Heidelberg, 2017.

A.  Haller, ?Interactive Watershed Based Segmentation for Biological Images?, University of Heidelberg, 2017.

S.  Wolf, Schott, L., Köthe, U., and Hamprecht, F. A., ?Learned Watershed: End-to-End Learning of Seeded Segmentation?, ICCV. pp. 2030-2038, 2017.

F.  Aström, Hühnerbein, R., Savarino, F., Recknagel, J., and Schnörr, C., ?MAP Image Labeling Using Wasserstein Messages and Geometric Assignment?, in Proc. SSVM, 2017, vol. 10302.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Maschinelles Lernen?, Patent, Patent Number WO2017032775A1, 2017.

B.  Balluff, Hanselmann, M., and Heeren, R. M. A., ?Mass spectrometry imaging for the investigation of intratumor heterogeneity?, in Advances in Cancer Research, vol. 134, Elsevier, 2017, pp. 201-230.

C.  Haltebourg, ?Modeling of Heat Exchange Across the Ocean Surface as Measured by Active Thermography?, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2017.

T.  Beier, Pape, C., Rahaman, N., Prange, T., Berg, S., Bock, D., Cardona, A., Knott, G. W., Plaza, S. M., Scheffer, L. K., Köthe, U., Kreshuk, A., and Hamprecht, F. A., ?Multicut brings automated neurite segmentation closer to human performance?, Nature Methods, vol. 14, no. 2, pp. 101-102, 2017.

N.  Krasowki, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?Neuron Segmentation with High-Level Biological Priors?, IEEE Transactions on Medical Imaging, vol. 37, no. 4, 2017.

F.  Savarino, Hühnerbein, R., Aström, F., Recknagel, J., and Schnörr, C., ?Numerical Integration of Riemannian Gradient Flows for Image Labeling?, in Proc. SSVM, 2017, vol. 10302.

V.  Ulman, Ma?ka, M., Magnusson, K. E. G., Ronneberger, O., Haubold, C., Harder, N., Matula, P., Matula, P., Svoboda, D., Radojevic, M., Smal, I., Rohr, K., Jaldén, J., Blau, H. M., Dzyubachyk, O., Lelieveldt, B., Xiao, P., Li, Y., Cho, S. - Y., Dufour, A., Olivo-Marin, J. C., Reyes-Aldasoro, C. C., Solis-Lemus, J. A., Bensch, R., Brox, T., Stegmaier, J., Mikut, R., Wolf, S., Hamprecht, F. A., Esteves, T., Quelhas, P., Demirel, Ö., Malström, L., Jug, F., Toman?ák, P., Meijering, E., Muñoz-Barrutia, A., Kozubek, M., and Ortiz-de-Solorzano, C., ?An Objective Comparison of Cell Tracking Algorithms?, Nature Methods, vol. 14, no. 12, pp. 1141-1152, 2017.

A. - S.  Wahl, Büchler, U., Brändli, A., Brattoli, B., Musall, S., Kasper, H., Ineichen, B. V., Helmchen, F., Ommer, B., and Schwab, M. E., ?Optogenetically stimulating the intact corticospinal tract post-stroke restores motor control through regionalized functional circuit formation?, Nature Communications, p. (ASW & UB contributed equally; BO and MES contributed equally), 2017.

T.  Hehn, ?A probabilistic approach to learn complex differentiable split functions in decision trees using gradient ascent?, Heidelberg University, 2017.

C.  Haubold, ?Scalable Inference for Multi-Target Tracking on Proliferating Cells?. University of Heidelberg, 2017.

M.  Hullin, Klein, R., Schultz, T., Yao, A., Li, W., Hosseini Jafari, O., and Rother, C., ?Semantic-Aware Image Smoothing?, Vision, Modeling, and Visualization, 2017.

S.  Peter, Kirschbaum, E., Both, M., Campbell, L. A., Harvey, B. K., Heins, C., Durstewitz, D., Diego, F., and Hamprecht, F. A., ?Sparse convolutional coding for neuronal assembly detection?, NIPS, poster. 2017.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Variational Bayesian Multiple Instance Learning with Gaussian Processes?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 6570-6579, 2017.

B.  Güssefeld, Honauer, K., and Kondermann, D., ?Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets?, in Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}, 2016.

K.  Honauer, Johannsen, O., Kondermann, D., and Goldlücke, B., ?A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields?, in Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III, Cham, 2016.

J.  Kleesiek, Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., and Biller, A., ?Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.?, NeuroImage, vol. 129, pp. 460-469, 2016.

T.  Beier, Andres, B., Köthe, U., and Hamprecht, F. A., ?An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem?, ECCV. Proceedings, vol. LNCS 9906. Springer, pp. 715-730, 2016.

M.  von Borstel, Kandemir, M., Schmidt, P., Rao, M., Rajamani, K., and Hamprecht, F. A., ?Gaussian process density counting from weak supervision?, ECCV. Proceedings, vol. LNCS 9905. Springer, pp. 365-380 , 2016.

C.  Haubold, Ales, J., Wolf, S., and Hamprecht, F. A., ?A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets?, ECCV. Proceedings, vol. LNCS 9911. Springer, pp. 566-582, 2016.

D.  Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B., ?The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving?, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.

E.  Meijering, Carpenter, A. E., Peng, H., Hamprecht, F. A., and Olivo-Marin, J., ?Imagining the future of bioimage analysis?, Nature Biotechnology, vol. 34, no. 12, pp. 1250-1255, 2016.

A.  Biller, Badde, S., Nagel, A., Neumann, J. O., Wick, W., Hertenstein, A., Bendszus, M., Sahm, F., Benkhedah, N., and Kleesiek, J., ?Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression?, American Journal of Neuroradiology, vol. 37 , pp. 66-73, 2016.

M.  Schiegg, Diego, F., and Hamprecht, F. A., ?Learning Diverse Models: The Coulomb Structured Support Vector Machine?, ECCV. Proceedings, vol. LNCS 9907. Springer, pp. 585-599, 2016.

J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Multicuts and Perturb & MAP for Probabilistic Graph Clustering?, Journal of Mathematical Imaging and Vision, vol. 56, pp. 221?237, 2016.

J. H.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Multicuts and Perturb & MAP for Probabilistic Graph Clustering?, J. Math. Imag. Vision, vol. 56, pp. 221?237, 2016.

O.  Hosseini Jafari and Yang, M. Ying, ?Real-time RGB-D based template matching pedestrian detection?, in Proceedings - IEEE International Conference on Robotics and Automation, 2016, vol. 2016-June, pp. 5520?5527.

C.  Haubold, Schiegg, M., Kreshuk, A., Berg, S., Köthe, U., and Hamprecht, F. A., ?Segmenting and Tracking Multiple Dividing Targets Using ilastik?, in Focus on Bio-Image Informatics, vol. 219, Springer, 2016, pp. 199-229.

F.  Diego and Hamprecht, F. A., ?Structured Regression Gradient Boosting?, CVPR. Proceedings. pp. 1459-1467, 2016.

M.  Kandemir, Haußmann, M., Diego, F., Rajamani, K., van der Laak, J., and Hamprecht, F. A., ?Variational weakly-supervised Gaussian processes?, BMVC. Proceedings. 2016.

J.  Kleesiek, Petersen, J., Döring, M., Maier-Hein, K., Köthe, U., Wick, W., Hamprecht, F. A., Bendszus, M., and Biller, A., ?Virtual Raters for Reproducible and Objective Assessments in Radiology?, Nature Scientific Reports, vol. 6, 2016.

M.  Haußmann, ?Weakly Supervised Detection with Gaussian Processes?, University of Heidelberg, 2016.

A.  Kreshuk, Walecki, R., Köthe, U., Gierthmühlen, M., Plachta, D., Genoud, C., Haastert-Talini, K., and Hamprecht, F. A., ?Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves?, Journal of Microscopy, vol. 259 (2), pp. 143-154, 2015.

M.  Kandemir and Hamprecht, F. A., ?Cell event detection in phase-contrast microscopy sequences from few annotations?, MICCAI. Proceedings, vol. LNCS 9351. Springer, pp. 316-323, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, pp. 1-30, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, Int.~J.~Comp.~Vision, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, vol. 115, pp. 155?184, 2015.

M.  Kandemir and Hamprecht, F. A., ?The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors?, NIPS. Proceedings, vol. 44. pp. 145-159, 2015.

T.  Beier, Hamprecht, F. A., and Kappes, J. H., ?Fusion Moves for Correlation Clustering?, in CVPR. Proceedings, 2015, pp. 3507-3516.

M.  Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A., ?Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell?, Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.

K.  Honauer, Maier-Hein, L., and Kondermann, D., ?The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms?, in The IEEE International Conference on Computer Vision (ICCV), 2015.

N.  Krasowski, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., ?Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors?, in 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015, 2015, pp. 536-539.

J.  Funke, Hamprecht, F. A., and Zhang, C., ?Learning to Segment: Training Hierarchical Segmentation under a Topological Loss?, in MICCAI. Proceedings, Part III, 2015, vol. 9351, pp. 268-275.

E.  Mesarchaki, Kräuter, C., Krall, K. Ellen, Bopp, M., Helleis, F., Williams, J., and Jähne, B., ?Measuring air?sea gas-exchange velocities in a large-scale annular wind?wave tank?, Ocean Sci., vol. 11, p. 121--138, 2015.

J. H.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc.~SSVM, 2015.

J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic correlation clustering and image partitioning using perturbed Multicuts?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9087, pp. 231?242.

J.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc. SSVM, 2015.

M.  Schiegg, Heuer, B., Haubold, C., Wolf, S., Köthe, U., and Hamprecht, F. A., ?Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models?, in ISBI. Proceedings, 2015, pp. 394-398.

D.  Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Honauer, K., Hofmann, S., Brenner, C., and Jähne, B., ?Stereo Ground Truth with Error Bars?, in Computer Vision ? ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V, Cham: Springer International Publishing, 2015, pp. 595?610.

C.  Cali, Baghabra, J., Boges, D. J., Holst, G. R., Kreshuk, A., Hamprecht, F. A., Srinivasan, M., Lehväslaiho, H., and Magistretti, P. J., ?Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues?, Journal of Comparative Neurology, vol. 524, pp. 23-38, 2015.

J. P.  Kauppi, Kandemir, M., Saarinen, V. M., Hirvenkari, L., Parkkonen, L., Klami, A., Hari, R., and Kaski, S., ?Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals?, NeuroImage, vol. 112, pp. 288-298, 2015.

A.  Kreshuk, Funke, J., Cardona, A., and Hamprecht, F. A., ?Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain?, MICCAI. Proceedings, vol. LNCS 9349. Springer, pp. 661-668, 2015.

X.  Lou, Schiegg, M., and Hamprecht, F. A., ?Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability?, IEEE Transactions on Medical Imaging, vol. 33 (4), pp. 849-860, 2014.

M.  Horn, ?Arriving at Z / f?, pp. 1?2, 2014.

T.  Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Asymmetric Cuts: Joint Image Labeling and Partitioning?, in Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings, 2014.

T.  Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Asymmetric Cuts: Joint Image Labeling and Partitioning?, in 36th German Conference on Pattern Recognition, 2014.

A. - S.  Wahl, Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A., Gullo, M., Weinmann, O., Kobayashi, K., Helmchen, F., Ommer, B., and Schwab, M. E., ?Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke?, Science, vol. 344, p. 1250--1255, 2014.

B. F.  Tek, Kröger, T., Mikula, S., and Hamprecht, F. A., ?Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue?, in ISBI. Proceedings, 2014, pp. 69-72.

A.  Kreshuk, Köthe, U., Pax, E., Bock, D. D., and Hamprecht, F. A., ?Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks?, PLoS ONE, vol. 9, p. 2, 2014.

C.  Zhang, Yarkony, J., and Hamprecht, F. A., ?Cell detection and segmentation using correlation clustering?, in MICCAI. Proceedings, 2014, pp. 9-16.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, CoRR, vol. abs/1404.0533, 2014.

M.  Kandemir and Hamprecht, F. A., ?Computer-aided diagnosis from weak supervision: A benchmarking study?, Computerized Medical Imaging and Graphics, vol. 42, pp. 44-50, 2014.

L.  Maier-Hein, Mersmann, S., Kondermann, D., Stock, C., Kenngott, H., Sanchez, A., Wagner, M., Preukschas, A., Wekerle, A. - L., Helfert, S., Bodenstedt, S., and Speidel, S., ?Crowdsourcing for reference correspondence generation in endoscopic images?, in MICCAI, 2014.

T.  Beier, Kröger, T., Kappes, J. H., Köthe, U., and Hamprecht, F. A., ?Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning?, in 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014, 2014.

C.  Decker and Hamprecht, F. A., ?Detecting individual body parts improves mouse behavior classification?, in Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings, 2014.

E.  Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., ?Detection of social actions in fruit flies?, Lecture Notes in Computer Science, vol. 8690, pp. 772?787, 2014.

M.  Kandemir, Feuchtinger, A., Walch, A., and Hamprecht, F. A., ?Digital Pathology: Multiple instance learning can detect Barrett'scancer?, ISBI. Proceedings. pp. 1348-1351, 2014.

M.  Kandemir, Zhang, C., and Hamprecht, F. A., ?Empowering multiple instance histopathology cancer diagnosis by cell graphs?, in MICCAI. Proceedings, 2014, vol. 8674, pp. 228-235.

M.  Kandemir, Rubio, J. C., Schmidt, U., Wojek, C., Welbl, J., Ommer, B., and Hamprecht, F. A., ?Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures?, in Medical Image Computing and Computer-Assisted Intervention, 2014, p. 154--161.

M.  Kandemir, Rubio, J. C., Schmidt, U., Welbl, J., Ommer, B., and Hamprecht, F. A., ?Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures?, in MICCAI. Proceedings, 2014, pp. 154-161.

R.  Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A., ?Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation?, Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.

M.  Horná?ek, Besse, F., Kautz, J., Fitzgibbon, A., and Rother, C., ?Highly overparameterized optical flow using PatchMatch belief propagation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8691 LNCS, pp. 220?234.

J.  Kleesiek, Biller, A., Urban, G., Köthe, U., Bendszus, M., and Hamprecht, F. A., ?ilastik for Multi-modal Brain Tumor Segmentation?, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace, 2014, pp. 12-17.

M.  Kandemir and Hamprecht, F. A., ?Instance Label Prediction by Dirichlet Process Multiple Instance Learning?, in UAI. Proceedings, 2014.

M.  Hoai, Torresani, L., De La Torre, F., and Rother, C., ?Learning discriminative localization from weakly labeled data?, in Pattern Recognition, 2014, vol. 47, pp. 1523?1534.

E.  Mesarchaki, Kräuter, C., Krall, K. Ellen, Bopp, M., Helleis, F., Williams, J., and Jähne, B., ?Measuring air-sea gas exchange velocities in a large scale annular wind-wave tank?, Ocean Sci. Discuss., vol. 11, p. 1643--1689, 2014.

G.  Urban, Bendszus, M., Hamprecht, F. A., and Kleesiek, J., ?Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks?, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution, 2014, pp. 31-35.

C. N.  Straehle, Kandemir, M., Köthe, U., and Hamprecht, F. A., ?Multiple instance learning with response-optimized random forests?, in ICPR. Proceedings, 2014, pp. 3768 - 3773.

J.  Yarkony, Beier, T., Baldi, P., and Hamprecht, F. A., ?Parallel Multicut Segmentation via Dual Decomposition?, in 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, 2014.

J.  Esparza, Vepa, L., Helmle, M., and Jähne, B., ?Registration of a multi-camera system with a 3D laser range finder?, in 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting, 2014, p. 37--46.

X.  He, Wang, H., Zhang, F., Wang, G., and Zhou, K., ?Robust Simulation of Small-Scale Thin Features in SPH-based Free Surface Flows?, Life.Kunzhou.Net, vol. 1, pp. 1?8, 2014.

B.  Maco, Cantoni, M., Holtmaat, A., Kreshuk, A., Hamprecht, F. A., and Knott, G. W., ?Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites?, Nature Protocols, vol. 9, pp. 1354-1366, 2014.

A.  Drory, Haubold, C., Avidan, S., and Hamprecht, F. A., ?Semi-Global Matching: A Principled Derivation in Terms of Message Passing?, in GCPR. Proceedings, 2014, pp. 43-53.

U.  Köthe, Herrmannsdörfer, F., Kats, I., and Hamprecht, F. A., ?SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy?, Histochemistry and Cell Biology, vol. 141, pp. 613-627, 2014.

F.  Diego and Hamprecht, F. A., ?Sparse Space-Time Deconvolution for Calcium Image Analysis?, in NIPS. Proceedings, 2014, pp. 64-72.

M.  Horná?ek, Fitzgibbon, A., and Rother, C., ?SphereFlow: 6 DoF scene flow from RGB-D pairs?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3526?3533.

D.  Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Hofmann, S., Brenner, C., and Jähne, B., ?Stereo ground truth with error bars?, in Asian Conference on Computer Vision, ACCV 2014, 2014.

X.  Lou, Kloft, M., Rätsch, G., and Hamprecht, F. A., ?Structured Learning from Cheap Data?, Advanced Structured Prediction. The MIT Press, 2014.

J.  Esparza, Helmle, M., and Jähne, B., ?Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications?, in 17th International Conference on Intelligent Transportation Systems (ITSC 2014), 2014.

L.  Fiaschi, Diego, F., Grosser, K. - H., Schiegg, M., Köthe, U., Zlatic, M., and Hamprecht, F. A., ?Tracking indistinguishable translucent objects over time using weakly supervised structured learning?, in CVPR. Proceedings, 2014, pp. 2736 - 2743.

S.  Lenor, Martini, J., Jähne, B., Stopper, U., Weber, S., and Ohr, F., ?Tracking-based visibility estimation?, in Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, 2014, vol. 8753, p. 365--376.

J.  Esparza, Helmle, M., and Jähne, B., ?Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance?, in Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, 2014, vol. 8753, p. 342--353.

C.  Zhang, Huber, F., Knop, M., and Hamprecht, F. A., ?Yeast Cell Detection and Segmentation in Bright Field Microscopy?, in ISBI. Proceedings, 2014, pp. 1267-1270.

B.  Jähne, ?625 Jahre Ruperto Carola und 25 Jahre Bildverarbeitung?, Universität Heidelberg. Menschen, Lebenswege, Forschung, vol. 55. Gesellschaft der Freunde Universität Heidelberg e. V., p. 71--73, 2013.

P.  Hanslovsky, ?Advanced Cell Tacking-by-Assignment?, University of Heidelberg, 2013.

F.  Diego, Reichinnek, S., Both, M., and Hamprecht, F. A., ?Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning?, ISBI 2013. Proceedings, pp. 1058-1061, 2013.

R.  Mikut, Dickmeis, T., Driever, W., Geurts, P., Hamprecht, F. A., Kausler, B. X., Ledesma-Carbayo, M., Mare?e, R., Mikula, K., Pantazis, P., Ronneberger, O., Santos, A., and Stotzka, R., ?Automated Processing of Zebrafish Imaging Data: A Survey?, Zebrafish, vol. 10 (3), 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems?, in CVPR 2013. Proceedings, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem?, in CVPR, 2013.

M.  Schiegg, Hanslovsky, P., Kausler, B. X., Hufnagel, L., and Hamprecht, F. A., ?Conservation Tracking?, in ICCV 2013. Proceedings, 2013, p. 2928--2935.

B.  Maco, Holtmaat, A., Cantoni, M., Kreshuk, A., Straehle, C. N., Hamprecht, F. A., and Knott, G. W., ?Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons?, PloS one, vol. 8 (2), 2013.

M.  Horná?ek, Rhemann, C., Gelautz, M., and Rother, C., ?Depth super resolution by rigid body self-similarity in 3D?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2013, pp. 1123?1130.

R.  Haeusler, Nair, R., and Kondermann, D., ?Ensemble Learning for Confidence Measures in Stereo Vision?, in CVPR 2013, in press, 2013, pp. 305-312.

A.  Hosni, Rhemann, C., Bleyer, M., Rother, C., and Gelautz, M., ?Fast cost-volume filtering for visual correspondence and beyond?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 504?511, 2013.

J.  Horn, ?Hochaufgelöste optische Wellenhöhenmessung am Aeolotron mit Laser-induzierter Fluoreszenz?, Institut für Umwelphysik, Univeristät Heidelberg, Germany, 2013.

L.  Fiaschi, Grosser, K. - H., Afonso, B., Zlatic, M., and Hamprecht, F. A., ?Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects?, ISBI 2013.Proceedings, pp. 656-659, 2013.

C. N.  Straehle, Peter, S., Köthe, U., and Hamprecht, F. A., ?K-smallest Spanning Tree Segmentations?, in German Conference on Pattern Recognition (DAGM/GCPR). Proceedings, 2013, pp. 375-384.

F.  Diego and Hamprecht, F. A., ?Learning Multi-Level Sparse Representation?, in NIPS. Proceedings, 2013.

F.  Diego and Hamprecht, F. A., ?Learning Multi-Level Sparse Representation for Identifying Neuronal Activity?, in Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts., 2013.

T.  Kröger, Mikula, S., Denk, W., Köthe, U., and Hamprecht, F. A., ?Learning to Segment Neurons with Non-local Quality Measures?, in MICCAI 2013. Proceedings, part II, 2013, vol. 8150, pp. 419-427.

M.  Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., ?Movie Dimensionalization Via Sparse User Annotations?, in submitted to 3DTV-Con, 2013.

F.  Herrmannsdörfer, ?SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy?, University of Heidelberg, 2013.

P.  Swoboda and Schnörr, C., ?Variational Image Segmentation and Cosegmentation with the Wasserstein Distance?, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, p. 321--334.

P.  Swoboda and Schnörr, C., ?Variational Image Segmentation and Cosegmentation with the Wasserstein Distance?, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, pp. 321?334.

C. N.  Straehle, Köthe, U., and Hamprecht, F. A., ?Weakly supervised learning of image partitioning using decision trees with structured split criteria?, in ICCV 2013. Proceedings, 2013, pp. 1849-1856.

P.  Ma?rquez-Valle, Gil, D., Herna?ndez-Sabate?, A., and Kondermann, D., ?When is a confidence measure good enough??, submitted to CVPR 2013, 2013.

B.  Andres, Köthe, U., Kröger, T., Helmstaedter, M., Briggmann, K. L., Denk, W., and Hamprecht, F. A., ?3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries?, Medical Image Analysis, vol. 16 (2012), pp. 796-805, 2012.

M.  Hanselmann, Röder, J., Köthe, U., Renard, B. Y., Heeren, R. M. A., and Hamprecht, F. A., ?Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images?, Analytical Chemistry, vol. 85 (1), pp. 147-155, 2012.

J.  Röder, Kunzmann, K., Nadler, B., and Hamprecht, F. A., ?Active Learning with Distributional Estimates?, UAI 2012. Proceedings, pp. 715-725, 2012.

C. M.  Zechmann, Menze, B. H., Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Delorme, S., Hamprecht, F. A., and Bachert, P., ?Automated vs. manual pattern recognition of 3D 1H MRSI data of patients with prostate cancer?, Academic Radiology, vol. 19, 6, pp. 675-684, 2012.

B. X.  Kausler, Schiegg, M., Andres, B., Lindner, M., Köthe, U., Leitte, H., Wittbrodt, J., Hufnagel, L., and Hamprecht, F. A., ?A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness?, in ECCV 2012. Proceedings, 2012, vol. 7574, pp. 144-157.

J.  Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., ?Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data?, CVPR 2012. Proceedings, pp. 1004-1011, 2012.

M.  Erz, Mischler, W., Trein, J., Lin, Z., Lay, R., and Jähne, B., ?Erweiterte Schärfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion?, in Forum Bildverarbeitung, 2012, p. 1--12.

B.  Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., ?Globally Optimal Closed-Surface Segmentation for Connectomics?, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.

R.  Nair, Meister, S., Lambers, M., Balda, M., Hofmann, H., Kolb, A., Kondermann, D., and Jähne, B., ?Ground truth for evaluating time of flight imaging?, Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200. Springer, p. 52--74, 2012.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models?, in Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}, 2012.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models?, in ECCV 2012, 2012.

B.  Andres, Kappes, J. Hendrik, Beier, T., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models?, in ECCV 2012, 2012.

L.  Fiaschi, Nair, R., Köthe, U., and Hamprecht, F. A., ?Learning to Count with Regression Forest and Structured Labels?, ICPR 2012. Proceedings, pp. 2685-2688, 2012.

X.  Lou and Hamprecht, F. A., ?Learning to Segment Dense Cell Nuclei with Shape Prior?, CVPR 2012. Proceedings, pp. 1012-1018, 2012.

C.  Sommer, Fiaschi, L., Hamprecht, F. A., and Gerlich, D., ?Learning-based Mitotic Cell Detection in Histopathological Images?, ICPR 2012. Proceedings, pp. 2306-2309, 2012.

E. - A.  Horva?t, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., ?One plus one makes three (for social networks)?, PLoS ONE, vol. 4,7, 2012.

M.  Atif and Jähne, B., ?Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations?, in Forum Bildverarbeitung, 2012, p. 23--34.

M.  Erz and Jähne, B., ?Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288?, in Forum Bildverarbeitung, 2012, p. 35--46.

B. Y.  Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., ?Overcoming species boundaries in peptide identification with BICEPS?, Molecular and Cellular Proteomics, vol. 11, 2012.

X.  Lou, Fiaschi, L., Köthe, U., and Hamprecht, F. A., ?Quality Classification of Microscopic Imagery with Weakly Supervised Learning?, MICCAI-MLMI. Proceedings, pp. 176-183, 2012.

M.  Geese, Ruhnau, P., and Jähne, B., ?Scene based maximum likelihood PRNU and DSNU non uniformity correction?, in Forum Bildverarbeitung, 2012, p. 71--82.

C. N.  Straehle, Köthe, U., Briggman, K., Denk, W., and Hamprecht, F. A., ?Seeded watershed cut uncertainty estimators for guided interactive segmentation?, in CVPR 2012. Proceedings, 2012, pp. 765 - 772.

X.  Lou and Hamprecht, F. A., ?Structured Learning from Partial Annotations?, ICML 2012. Proceedings, 2012.

S.  Meister, Izadi, S., Kohli, P., Hämmerle, M., Rother, C., and Kondermann, D., ?When Can We Use KinectFusion for Ground Truth Acquisition??, in Workshop on Color-Depth Camera Fusion in Robotics, IEEE InternationalConference on Intelligent Robots and Systems, 2012.

S.  Meister, Izadi, S., Kohli, P., and M Hämmerle, M. \, ?When can we use KinectFusion for ground truth acquisition??, Proc Workshop on \ldots, pp. 3?8, 2012.

E. - A.  Horva?t, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., ?You Are Who Knows You: Predicting Links Between Non-Members of Facebook?, European Conference on Complex Systems. Proceedings, vol. 3, pp. 309-315, 2012.

A.  Horn, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.

A.  Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Cantoni, M., Knott, G. W., and Hamprecht, F. A., ?Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images?, PLoS ONE, vol. 6 (10), 2011.

A.  Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Knott, G. W., and Hamprecht, F. A., ?Automated Segmentation of Synapses in 3D EM Data?, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings, 2011, pp. 220-223.

H.  Heck, ?Bildverarbeitendes Verfahren zur Detektion und Vermessung von Luftblasen an der Wasseroberfläche eines Blasentanks?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.

C. N.  Straehle, Köthe, U., Knott, G. W., and Hamprecht, F. A., ?Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images?, in MICCAI 2011, Proceedings., 2011, vol. 6891, pp. 653-660.

F. O.  Kaster, Weber, M. - A., and Hamprecht, F. A., ?Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations?, in LNCS, 2011, vol. LNCS 6533, pp. 74-85.

X.  Lou, Kaster, F. O., Lindner, M., Kausler, B. X., Köthe, U., Höckendorf, B., Wittbrodt, J., Jänicke, H., and Hamprecht, F. A., ?DELTR: Digital Embryo Lineage Tree Reconstructor?, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings, 2011, pp. 1557-1560.

A.  Horn, ?Entwicklung eines bildgebenden Systems zur Aufnahme 6-dimensionalerLichtfelder?, University of Heidelberg, 2011.

S.  Wanner, Sommer, C., Rocholz, R., Hamprecht, F. A., and Jähne, B., ?A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface?, in 16th International Workshop on Vision, Modelling and Visualization, 2011, pp. 199-206.

S.  Wanner, Sommer, C., Rocholz, R., Jung, M., Hamprecht, F. A., and Jähne, B., ?A framework for interactive visualization and classification of dynamical processes at the water surface?, in 16th International Workshop on Vision, Modelling and Visualization, 2011, p. 199--206.

J.  Röder, Tolosana-Delgado, R., and Hamprecht, F. A., ?Gaussian process classification: singly versus doubly stochastic models, and new computational schemes?, Stochastic Environmental Research & Risk Assessment, vol. 25 (7), pp. 865-879, 2011.

K.  He, Rhemann, C., Rother, C., Tang, X., and Sun, J., ?A global sampling method for alpha matting?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2049?2056.

F.  Friedl, Herzog, A. G., Warken, P., and Jähne, B., ?Hochauflösende raumzeitliche Messung von flüssigkeitsseitigen Konzentrationsfeldern an der wind- und wellenbewegten Wasseroberfläche?, in DPG Frühjahrstagung Dresden, 2011.

C.  Sommer, Straehle, C. N., Köthe, U., and Hamprecht, F. A., ?ilastik: Interactive Learning and Segmentation Toolkit?, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings, 2011, pp. 230-233.

M.  Frank and Hamprecht, F. A., ?Image-Based Supervision of a Periodically Working Machine?, Pattern Analysis and Applications, pp. 1-10, 2011.

F. O.  Kaster, Merkel, B., Nix, O., and Hamprecht, F. A., ?An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements?, Computer Science - Research and Development, vol. 26, pp. 65-85, 2011.

B. H.  Menze, Kelm, B. Michael, Splitthoff, N., Köthe, U., and Hamprecht, F. A., ?On oblique random forests?, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings., 2011, pp. 453-469.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in ICCV, Proceedings, 2011, pp. 2611 - 2618.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

B.  Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., ?Probabilistic Image Segmentation with Closedness Constraints?, in Proceedings of ICCV, 2011.

M.  Hanselmann, Voss, B., Renard, B. Y., Lindner, M., Köthe, U., Kirchner, M., and Hamprecht, F. A., ?SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists?, Bioinformatics, vol. 27 (7), pp. 987-993, 2011.

X.  Lou and Hamprecht, F. A., ?Structured Learning for Cell Tracking?, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.

L.  Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R.  dos, and Meinzer, H. - P., ?Towards mobile augmented reality for on-patient visualization of medical images?, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.

B. Michael Kelm, Kaster, F. O., Henning, A., Weber, M. - A., Bachert, P., Bösinger, P., Hamprecht, F. A., and Menze, B. H., ?Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images?, NMR in Biomedicine, vol. 25(1), pp. 1-13, 2011.

M.  Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., ?Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy?, Nano Letters, vol. 11, pp. 3099-3107, 2011.

F.  Haug and Jähne, B., ?6 DoF appearance-based object localization with local covariant features?, in Forum Bildverarbeitung, 2010, p. 13--24.

N.  Hüsken, ?Active and Online Learning for Interactive Image Analysis?, University of Heidelberg, 2010.

F.  Haug, ?Ansichtsbasierte 6 DoF Objekterkennung mit lokalen kovarianten Regionen?, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2010.

A.  Kreshuk, Stankiewicz, M., Lou, X., Kirchner, M., Hamprecht, F. A., and Mayer, M. P., ?Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon?, International Journal of Mass Spectrometry, vol. 302, pp. 125-131, 2010.

T.  Hörnlein, ?Boosted Feature Generation for Classification Problems Involving High Numbers of Inputs and Classes?, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2010.

M.  Hanselmann, ?Computational Methods for the Analysis of Mass Spectrometry Images?. University of Heidelberg, 2010.

M.  Kirchner, Renard, B. Y., Köthe, U., Pappin, D. J., Hamprecht, F. A., Steen, J. A. J., and Steen, H., ?Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments?, Bioinformatics, vol. 26 (1), pp. 77-83, 2010.

X.  Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., ?Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments?, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010, pp. 353-362.

B.  Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., ?An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM?, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010.

B. Y.  Renard, Timm, W., Kirchner, M., Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?Estimating the Confidence of Peptide Identifications without Decoy Databases?, Analytical Chemistry, pp. 4314-4318, 2010.

A. G.  Herzog, Binder, T., Friedl, F., and Jähne, B., ?Estimating water-sided vertical gas concentration profiles by inverse modeling?, in 2nd Int. Conf. Eng. Optimization, Lisbon, 6--9. Sep. 2010, 2010.

K.  Börner, Hermle, J., Sommer, C., Brown, N. P., Knapp, B., Glass, B., Torralba, G., Reymann, J., Beil, N., Beneke, J., Pepperkok, R., Schneider, R., and Ludwig, T., ?From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication?, Biotechnology Journal, vol. 5, pp. 39-49, 2010.

U.  Köthe, Andres, B., Kröger, T., and Hamprecht, F. A., ?Geometric Analysis of 3D Electron Microscopy Data?, in Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), 2010, pp. 22-26.

B.  Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., ?How to Extract the Geometry and Topology from Very Large 3D Segmentations?, ArXiv e-prints, 2010.

A. G.  Herzog, ?Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface?, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2010.

B.  Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., ?The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search?, ArXiv e-prints, 2010.

M.  Kirchner, Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?MGFp: An Open Mascot Generic Format Parser Library Implementation?, Journal of Proteome Research, vol. 9 (5), p. 27622763, 2010.

B. H.  Menze and Hamprecht, F. A., ?Multimodal Medical Image Analysis: from Visualization to Disease Modeling?, Zeitschrift für Med. Physik, vol. 1, pp. 1-2, 2010.

B.  Voss, Heinlein, A., Jähne, B., and Garbe, C. S., ?A new approach for 3C3D measurements of aqueous boundary layer flows relative to the wind-wave undulated interface?, in 6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010, 2010.

F. O.  Kaster, Kassemeyer, S., Merkel, B., Nix, O., and Hamprecht, F. A., ?An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements?, in Bildverarbeitung für die Medizin 2010 -- Algorithmen, Systeme, Anwendungen, 2010, pp. 97-101.

M.  Jehle and Jähne, B., ?Optimal Lighting for Defect Detection: Illumination Systems, MachineLearning, and Practical Verification?, in Forum Bildverarbeitung, Regensburg, 02.-03.12.2010, 2010, pp. 301-312.

M.  Jehle and Jähne, B., ?Optimal lighting for defect detection: illumination systems, machine learning, and practical verification?, in Forum Bildverarbeitung, 2010, p. 241--252.

M.  Erz and Jähne, B., ?Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme?, in Forum Bildverarbeitung, 2010, p. 155--166.

B.  Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., ?Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x?, ArXiv e-prints, 2010.

A. G.  Herzog, Friedl, F., and Jähne, B., ?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?, in 15h Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 05--08, 2010, 2010.

A. G.  Herzog, Friedl, F., and Jähne, B., ?Spatio-temporal fluctuations of water-sided gas concentration fields under wind-induced turbulence?, in 6th Int. Symp. Gas Transfer at Water Surfaces, Kyoto, May 17--21, 2010, 2010.

F.  Rathke, Hansen, K., Brefeld, U., and Müller, K. - R., ?StructRank: A new approach for ligand-based virtual screening?, J. Chem. Inf. Model., vol. 51, pp. 83?92, 2010.

B.  Glocker, T. Heibel, H., Navab, N., Kohli, P., and Rother, C., ?TriangleFlow: Optical flow with triangulation-based higher-order likelihoods?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6313 LNCS, pp. 272?285.

D.  Heitz, Mémin, E., and Schnörr, C., ?Variational fluid flow measurements from image sequences: synopsis and perspectives?, Exp.~Fluids, vol. 48, pp. 369-393, 2010.

D.  Heitz, Mémin, E., and Schnörr, C., ?Variational fluid flow measurements from image sequences: synopsis and perspectives?, Exp. Fluids, vol. 48, pp. 369-393, 2010.

L.  Görlitz, Hamprecht, F. A., and Staudacher, M., ?Allocation of particles to development processes?, Patent, 2009.

M.  Hayn, Beirle, S., Hamprecht, F. A., Platt, U., Menze, B. H., and Wagner, T., ?Analysing spatio-temporal patterns of the global NO2-distribution retrieved frome GOME satellite observations using a generalized additive model?, Atmospheric Chemistry and Physics, vol. 9, pp. 9367-9398, 2009.

M.  Jäger, Kiel, A., Herten, D. - P., and Hamprecht, F. A., ?Analysis of Single-Molecule Fluorescence Spectroscopic Data with a Markov Modulated Poisson Process?, ChemPhysChem, vol. 10:14, pp. 2486-2495, 2009.

K.  Hansen, Rathke, F., Schroeter, T., Rast, G., Fox, T., Kriegl, J. M., and Mika, S., ?Bias-correction of regression models: a case study on hERG inhibition?, J. Chem. Inf. Model., vol. 49, no. 6, pp. 1486?1496, 2009.

T.  Hörnlein, Jähne, B., and Süße, H., ?Boosting shift-invariant features?, in Pattern Recognition, 2009, vol. 5748, p. 121--130.

F. O.  Kaster, Kelm, B. Michael, Zechmann, C. M., Weber, M. - A., Hamprecht, F. A., and Nix, O., ?Classification of Spectroscopic Images in the DIROlab Environment?, in World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2009, vol. 25/V, p. 252--255.

B. H.  Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., ?A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data?, BMC Bioinformatics, vol. 10:213, 2009.

S. V. E.  Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., ?Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species?, in Evolution-The Molecular Landscape, 2009.

M.  Hering, Körner, K., and Jähne, B., ?Correlated speckle noise in white-light interferometry: theoretical analysis of measurement uncertainty?, Appl. Optics, vol. 48, p. 525--538, 2009.

M.  Frank, Plaue, M., and Hamprecht, F. A., ?Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures?, Optical Engineering, vol. 48, 077003, 2009.

B. Michael Kelm, Menze, B. H., Nix, O., Zechmann, C. M., and Hamprecht, F. A., ?Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge?, IEEE Transaction on Medical Imaging, vol. 28:10, pp. 1534-1547, 2009.

C.  Thieke, Nix, O., Koehn, A., Floca, R., van Straaten, D., Hahn, H., Strauss, L. G., Siems, U., Graf, M., Pruem, H., Klein, J., Laue, H., and Kaster, F. O., ?A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy?, Strahlentherapie und Onkologie, vol. 185, p. 81, 2009.

M.  Hanselmann, Köthe, U., Renard, B. Y., Kirchner, M., Heeren, R. M. A., and Hamprecht, F. A., ?Multivariate Watershed Segmentation of Compositional Data?, in Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press, 2009, vol. 5810, pp. 180-192.

S.  Trittler and Hamprecht, F. A., ?Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation?, Digital Signal Processing, vol. 19, pp. 628-639, 2009.

L.  Görlitz, Menze, B. H., Kelm, B. Michael, and Hamprecht, F. A., ?Processing Spectral Data?, Surface and Interface Analysis, vol. 41, pp. 636-644, 2009.

B.  Andres, Köthe, U., Bonea, A., Nadler, B., and Hamprecht, F. A., ?Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times?, in Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings, 2009, vol. 5748, pp. 502-511.

M.  Staudacher, Hamprecht, F. A., and Görlitz, L., ?Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen?, Patent, Patent Number  WO2009062781A1, 2009.

M.  Frank, Plaue, M., Rapp, H., Köthe, U., Jähne, B., and Hamprecht, F. A., ?Theoretical and Experimental Error Analysis of Continuous-Wave Time-Of-Flight Range Cameras?, Optical Engineering, vol. 48, 013602, 2009.

M.  Frank, Plaue, M., Rapp, H., Köthe, U., Jähne, B., and Hamprecht, F. A., ?Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras?, Opt. Eng., vol. 48, p. 013602, 2009.

C. S.  Garbe, Nagel, L., Hung, L. - P., and Tsai, W. - T., ?Thermographic measurements of the temperature difference across the air- water interface: results from experimental and numerical studies?, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

M.  Hanselmann, Köthe, U., Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., ?Towards Digital Staining using Imaging Mass Spectrometry and Random Forests?, Journal of Proteome Research, vol. 8, pp. 3558-3567, 2009.

B. Y.  Renard, Kirchner, M., Monigatti, F., Ivanov, A. R., Rappsilber, J., Winter, D., Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing?, Proteomics, vol. 9, pp. 4978-4984, 2009.

S.  Haschler, ?Aufbau eines Praktikumsversuch zum Gasaustauch zwischen Atmosphäre und Ozean?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.

A.  Haja, Abraham, S., and Jähne, B., ?A Comparison of Region Detectors for Tracking?, in Pattern Recognition, Proceedings 30th DAGM Symposium, Munich, Germany, June 2008, 2008, vol. 5096, p. 112--121.

M.  Hanselmann, Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., ?Concise Representation of MS Images by Probabilistic Latent Semantic Analysis?, Analytical Chemistry, vol. 80, pp. 9649-9658, 2008.

K.  Fundana, Heyden, A., Gosch, C., and Schnörr, C., ?Continuous Graph Cuts for Prior-Based Object Segmentation?, in 19th Int.~Conf.~Patt.~Recog.~(ICPR), 2008, p. 1--4.

J. A. J.  Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W., ?Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis?, Proceedings of the National Academy of Sciences, vol. 105, pp. 6069-6074, 2008.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, Exp. Fluids, vol. 45, p. 583--593, 2008.

B.  Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., ?On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation?, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.

B.  Andres, Kondermann, C., Kondermann, D., Hamprecht, F. A., and Garbe, C. S., ?On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation?, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, 2008, p. 1--6.

A.  Haja, ?Graph-based Spatial Motion Tracking using Affine-covariant Regions?. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2008.

J. F.  Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., ?Inverse Problems and Parameter Identification in Image Processing?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.

A.  Haja, Jähne, B., and Abraham, S., ?Localization accuracy of region detectors?, in Proceedings CVPR'08, 2008.

M.  Staudacher, Hamprecht, F. A., and Görlitz, L., ?Method for processing an intensity image of a microscope?, Patent, Patent Number: WO2008034721A1, 2008.

B. H.  Menze, Kelm, B. Michael, Weber, M. - A., Bachert, P., and Hamprecht, F. A., ?Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI?, Magnetic Resonance in Medicine, vol. 59, pp. 1457-1466, 2008.

B. Y.  Renard, Kirchner, M., Steen, H., Steen, J. A. J., and Hamprecht, F. A., ?NITPICK: Peak Identification for Mass Spectrometry Data?, BMC Bioinformatics, vol. 9, p. 355, 2008.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear Analysis of Multi-Dimensional Signals?, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.

C. S.  Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., ?Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns?, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.

M.  Jäger and Hamprecht, F. A., ?Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes?, IEEE Transactions on Industrial Electronics, vol. 56:4, pp. 1307-1313, 2008.

T.  König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H., ?Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics?, Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.

B.  Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A., ?Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification?, in Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.

F.  Huhn, ?A Simple Instrument for the Measurement of the Slope and Height Distributions of Small Scale Wind-Driven Water Waves?, Institute for Environmental Physics, University of Heidelberg, 2008.

M.  Jäger, Humbert, S., and Hamprecht, F. A., ?Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes?, IEEE Transactions on Industrial Electronics, vol. 55, pp. 2177-2184, 2008.

H.  Rapp, Frank, M., Hamprecht, F. A., and Jähne, B., ?A Theoretical and Experimental Investigation of the Systematic Errors and Statistical Uncertainties of Time-of-Flight Cameras?, Int. J. Intelligent Systems Technologies and Applications, vol. 5, pp. 402-413, 2008.

H.  Rapp, Frank, M., Hamprecht, F. A., and Jähne, B., ?A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras?, Int. J. Intelligent Systems Technologies and Applications, vol. 5, p. 402--413, 2008.

C.  Gosch, Fundana, K., Heyden, A., and Schnörr, C., ?View Point Tracking of Rigid Object Based on Shape Sub-Manifolds?, in Computer Vision -- ECCV 2008, 2008, vol. 5302, p. 251--263.

C.  Gosch, Fundana, K., Heyden, A., and Schnörr, C., ?View Point Tracking of Rigid Object Based on Shape Sub-Manifolds?, in Computer Vision ? ECCV 2008, 2008, vol. 5302, pp. 251?263.

M.  Jäger, Knoll, C., and Hamprecht, F. A., ?Weakly Supervised Learning of a Classifier for Unusual Event Detection?, IEEE Transactions on Image Processing, vol. 17, pp. 1700-1708, 2008.

D.  Hoiem, Rother, C., and Winn, J., ?3D LayoutCRF for multi-view object class recognition and segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

C.  Kondermann, Kondermann, D., Jähne, B., Garbe, C. S., Schnörr, C., and Jähne, B., ?An adaptive confidence measure for optical flows based on linear subspace projections?, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, vol. 4713, p. 132--141.

M.  Kirchner, Saussen, B., Steen, H., Steen, J. A. J., and Hamprecht, F. A., ?amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R?, Journal of Statistical Software, vol. 18, pp. 1-12, 2007.

M.  Hering, ?Angewandte statistische Optik in der Weißlicht-Interferometrie: Räumliches Phasenschieben und Einfluss optisch rauer Oberflächen?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.

B. Michael Kelm, Menze, B. H., Zechmann, C. M., Baudendistel, K. T., and Hamprecht, F. A., ?Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification?, Magnetic Resonance in Medicine, vol. 57, pp. 150-159, 2007.

C.  Weber, Zechmann, C. M., Kelm, B. Michael, Zamecnik, R., Hendricks, D., Waldherr, R., Hamprecht, F. A., Delorme, S., Bachert, P., and Ikinger, U., ?Comparison of correctness of manuel and automatic evaluation of MR-spectrum with prostrate cancer?, Der Urologe, vol. 46, p. 1252, 2007.

A.  Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., ?Do life-logging technologies support memory for the past? An experimental study using sensecam?, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81?90.

J.  Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., ?Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation?, in 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept., 2007.

K.  Degreif, Jähne, B., and Jähne, B., ?Estimating the viscous shear stress at the water surface from active thermography?, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, p. 223--239, 2007.

T.  Hara, VanInwegen, E., Wendelbo, J., Schimpf, U., Jähne, B., Frew, N. M., and Jähne, B., ?Estimation of air-sea gas and heat fluxes from infrared imagery based on near surface turbulence models?, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, 2007.

C. S.  Garbe, Schnörr, C., and Jähne, B., ?Fluid flow estimation through integration of physical flow configurations?, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, p. 92--101.

B. H.  Menze, Kelm, B. Michael, and Hamprecht, F. A., ?From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background?, in Advances in data analysis, 2007, vol. 33, pp. 255-262.

J.  Schmähling and Hamprecht, F. A., ?Generalizing the Abbott-Firestone curve by two new surface descriptors?, Wear, vol. 262, pp. 1360-1371, 2007.

B.  Jähne, Popp, C., Schimpf, U., Garbe, C. S., and Jähne, B., ?The influence of intermittency on air/water gas transfer measurements?, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, 2007.

B. H.  Menze, Petrich, W., and Hamprecht, F. A., ?Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy?, Analytical and Bioanalytical Chemistry, vol. 387, pp. 1801-1807, 2007.

F. A.  Hamprecht, Schnörr, C., and Jähne, B., Eds., ?Pattern Recognition ? 29th DAGM Symposium?, LCNS, vol. 4713. Springer, 2007.

F. A.  Hamprecht, Jähne, B., and Schnörr, C., Eds., Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, vol. 4713. Springer, 2007.

C.  Schnörr and Jähne, B., ?Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14?, vol. 4713. Springer, 2007.

J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., ?Photo clip art?, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.

B.  Andres, Hamprecht, F. A., and Garbe, C. S., ?Selection of Local Optical Flow Models by Means of Residual Analysis?, in Pattern Recognition, 2007, vol. 4713, pp. 72-81.

B.  Andres, Garbe, C. S., Schnörr, C., and Jähne, B., ?Selection of local optical flow models by means of residual analysis?, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, p. 72--81.

L.  Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael, ?Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields?, in Pattern Recognition, 2007, vol. 4713, pp. 224-233.

M.  Hayn, ?Statistical analysis of spatio-temporal patterns in global NOX satellite data?, University of Heidelberg, 2007.

H.  Rapp, Frank, M., Hamprecht, F. A., and Jähne, B., ?A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras?, in Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007, 2007.

B.  Jähne, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer, 2007.

C.  Schnörr, Schüle, T., and Weber, S., ?Variational Reconstruction with DC-Programming?, Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston, 2007.

A.  Falkenroth, Degreif, K., Jähne, B., and Jähne, B., ?Visualisation of oxygen concentration fields in the mass boundary layer by fluorescence quenching?, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer Verlag, 2007.

B. Michael Kelm, Müller, N., Menze, B. H., and Hamprecht, F. A., ?Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM?, in Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis), 2006, pp. 96-103.

C. M.  Zechmann, Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Röll, S., Delorme, S., Hamprecht, F. A., and Bachert, P., ?Can man still beat the machine? Automated vs. manual pattern recognition of 3D MRSI data of prostate cancer patients?, in Proceedings of the 16th ISMRM, 2006.

B. Michael Kelm, Menze, B. H., Neff, T., Zechmann, C. M., and Hamprecht, F. A., ?CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods.?, in Bildverarbeitung für die Medizin 2006 - Algorithmen, Systeme, Anwendungen, 2006, pp. 51-55.

M. F.  Carlsohn, Menze, B. H., Kelm, B. Michael, Hamprecht, F. A., Kercek, A., Leitner, R., and Polder, G., ?Color image processing?, vol. 7(17), R.  Lukac and Plataniotis, K. N., Eds. CRC Press, 2006, pp. 393-419.

M.  Heiler and Schnörr, C., ?Controlling Sparseness in Non-negative Tensor Factorization?, in Computer Vision -- ECCV 2006, 2006, vol. 3951, pp. 56-67.

S.  Hader, ?Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung?. University of Heidelberg, 2006.

M. P.  Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., ?Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren?, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.

U.  Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., ?Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer?, Marine Surface Films: Chemical Characteristics, Influence on Air-Sea Interactions, and Remote Sensing. Springer, p. 239--252, 2006.

M.  Heiler and Schnörr, C., ?Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming?, J. Mach. Learning Res., vol. 7, pp. 1385?1407, 2006.

B. H.  Menze, Kelm, B. Michael, Heck, D., Lichy, M. P., and Hamprecht, F. A., ?Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images?, in Bildverarbeitung für die Medizin, 2006, pp. 31-36.

B. H.  Menze, Lichy, M. P., Bachert, P., Kelm, B. Michael, Schlemmer, H. P., and Hamprecht, F. A., ?Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor?, NMR in Biomedicine, vol. 19, pp. 599-609, 2006.

S.  Sieg, Stutz, B., Schmidt, T., Hamprecht, F. A., and Maier, W. F., ?A QCAR-approach to materials modelling?, Journal of Molecular Modeling, vol. 12, pp. 611-619, 2006.

J.  Schmähling, Hamprecht, F. A., and Hoffmann, D. M. P., ?A three-dimensional measure of surface roughness based on mathematical morphology?, International Journal of Machine Tools and Manufacture, vol. 46 (14), pp. 1764-1769, 2006.

A.  Falkenroth, Herzog, A. G., and Jähne, B., ?Visualization of air-water gas exchange using novel fluorescent dyes?, in 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006, 2006.

T.  König, Hamprecht, F. A., and Kücherer, H., ?On the Application of Multiscale Motion Estimation in Intravascular Elastography?, University of Heidelberg, 2005.

B. Michael Kelm, Menze, B. H., and Hamprecht, F. A., ?Automatische Lokalisation von Tumoren in 1H-NMR-spektroskopischen in vivo Aufnahmen?, in VDI-Berichte, 2005, vol. 1883, pp. 457-466.

M.  Jäger, Knoll, C., and Hamprecht, F. A., ?Automatisierte Klassifikation von Laserschwei\DFprozessen durch Nutzung von 3D Signalverarbeitungs-Algorithmen?. Robert Bosch GmbH, Schwieberdingen and IWR, Uni Heidelberg, 2005.

M.  Hissmann, ?Bayesian Estimation for White Light Interferometry?. University of Heidelberg, 2005.

M.  Hissmann and Hamprecht, F. A., ?Bayesian surface estimation for white light interferometry?, Optical Engineering, vol. 44, pp. 1-9, 2005.

S.  Weber, Schnörr, C., Schüle, T., and Hornegger, J., ?Binary Tomography by Iterating Linear Programs?, Geometric Properties from Incomplete Data. Springer, 2005.

L.  Görlitz, Hamprecht, F. A., and Staudacher, M., ?Detektion von Partikeln in Intensitätsbildern mit Hilfe eines morphologischen Skalenraumes?. Robert-Bosch GmbH, University of Heidelberg, 2005.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.

T.  Hara, Wendelbo, J., Garbe, C. S., Schimpf, U., and Frew, N. M., ?Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements?, in Presented at: International Liège Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.

U.  Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., ?Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer?, M.  Gade and Korenowski, G. M., Eds. Springer, 2005, pp. 239-252.

M.  Heiler and Schnörr, C., ?Learning Sparse Image Codes by Convex Programming?, in Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV'05), Beijing, China, 2005, pp. 1667-1674.

M.  Heiler and Schnörr, C., ?Natural Image Statistics for Natural Image Segmentation?, Int. J. Comp. Vision, vol. 63, pp. 5?19, 2005.

H. R.  Künsch, Agrell, E., and Hamprecht, F. A., ?Optimal lattices for sampling?, IEEE Transactions on Information Theory, vol. 51, pp. 634-647, 2005.

S.  Humbert, ?Partikel-Verfolgung beim Laserschwei\DFen mit dem Kalman-Filter?, University of Heidelberg, 2005.

H.  Zhang, Hamprecht, F. A., and Amann, A., ?Report about VOCs Dataset's Analysis based on Random Forests?, in Proceedings of the HPC-Asia05, 2005, pp. 603-607.

M.  Heiler and Schnörr, C., ?Reverse-Convex Programming for Sparse Image Codes?, in Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05), 2005, vol. 3757, pp. 600-616.

M.  Heiler, Keuchel, J., and Schnörr, C., ?Semidefinite Clustering for Image Segmentation with A-priori Knowledge?, Pattern Recognition, Proc. 27th DAGM Symposium, vol. 3663. Springer, pp. 309?317, 2005.

N. M.  Frew, Bock, E. J., Schimpf, U., Hara, T., Haußecker, H., Edson, J. B., McGilles, W. R., Nelson, R. K., McKenna, S. P., Uz, B. M., and Jähne, B., ?Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films?, J. Geophys. Res., vol. 109, p. C08S17, 2004.

M.  Klar, Jehle, M., Jähne, B., Detert, M., and H., J. G., ?Analysis of subsurface gravel layer flow caused by turbulent open-channel flow using 3D PTV and pressure sensor techniques?, in BAW-Workshop Soil and Bed Stability - Interaction Effects between Geotechnics and Hydraulic Engineering, 2004.

M.  Jehle, Klar, M., Köhler, H. - J., and Heibaum, M., ?Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen?, in Mitteilungen des Instituts für Grundbau und Bodenmechanik, 2004, vol. 77, pp. 371-392.

S.  Weber, Schüle, T., Hornegger, J., and Schnörr, C., ?Binary Tomography by Iterating Linear Programs from Noisy Projections?, in Combinatorial Image Analysis, Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'04), 2004, vol. 3322, pp. 38?51.

F. A.  Hamprecht, ?Classification?, Practical Handbook on Image Processing for Scientific and Technical Applications. CRC Press, pp. 509-519, 2004.

B. H.  Menze, Wormit, M., Bachert, P., Lichy, M. P., Schlemmer, H. - P., and Hamprecht, F. A., ?Classification of in vivo magnetic resonance spectra?, in Classification in ubiquitous challenge: Proceedings of the GfKl 2004, 2004, pp. 362-369.

V.  Hilsenstein, ?Design and Implementation of a Passive Stereo-Infrared Imaging System for the Surface Reconstruction of Water Waves?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2004.

H.  Herrmann, ?Ein System zur schnellen Entwicklung von Bildverarbeitungsalgorithmen?. Univ.\ Mannheim, 2004.

J.  Keuchel, Heiler, M., and Schnörr, C., ?Hierarchical Image Segmentation based on Semidefinite Programming?, in Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 120-128.

S.  Weber, Schüle, T., Schnörr, C., and Hornegger, J., ?A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections?, Methods of Information in Medicine, vol. 43, pp. 320?326, 2004.

J.  Restle, Hissmann, M., and Hamprecht, F. A., ?Nonparametric Smoothing of Height maps using ``Confidence'' values?, Optical Engineering, vol. 43, pp. 866-871, 2004.

D.  Heck, ?Proximity Graphs for Nonlinear Dimension Reduction?, University of Heidelberg, 2004.

S.  Hader and Hamprecht, F. A., ?Two-Stage Classification with Automatic Feature Selection for an Industrial Application?, Classification, the ubiquitous challenge: Proceedings of GfKl 2004. Springer, pp. 137-144, 2004.

F. A.  Hamprecht and Jähne, B., ?Vom Bild zur Information?, Ruperto Carola -- Forschungsmagazin der Universität Heidelberg, vol. 03.2004, pp. 9-12, 2004.

F. A.  Hamprecht and Jähne, B., ?Vom Bild zur Information?. 2004.

M.  Hissmann and Hamprecht, F. A., ?Bayessche Schätzung von Höhenkarten aus der Wei\DF licht-Interferometrie?, in Oberflächenmesstechnik 2003, 2003, p. 187--196.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 15, 2003.

S.  Hader and Hamprecht, F. A., ?Efficient Density Clustering?, Between Data Science and Applied Data Analysis. Springer, pp. 39-48, 2003.

F. A.  Hamprecht and Agrell, E., ?Exploring a space of materials: spatial sampling design and subset selection?, Experimental Design for Combinatorial and High Throughput Materials Development. Wiley, 2003.

M.  Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., ?Intercontinental transport of nitrogen oxide pollution plumes?, Atmos. Chem. Phys., vol. 3, p. 387--393, 2003.

S.  Weber, Schüle, T., Schnörr, C., and Hornegger, J., ?A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections?, in Bildverarbeitung für die Medizin 2003, 2003, pp. 41?45.

S.  Weber, Schnörr, C., and Hornegger, J., ?A Linear Programming Relaxation for Binary Tomography with Smoothness Priors?, in Proc. Int. Workshop on Combinatorial Image Analysis (IWCIA'03), Palermo, Italy, 2003.

M.  Heiler and Schnörr, C., ?Natural Statistics for Natural Image Segmentation?, in Proc. IEEE Int. Conf. Computer Vision (ICCV 2003), Nice, France, 2003, pp. 1259-1266.

H.  Eisele and Hamprecht, F. A., ?A new approach for defect detection in X-ray CT images?, Pattern Recognition, vol. 2449. Springer, pp. 345-352, 2003.

S.  Hader, ?System Concept for Image Sequence Classification in Laser Welding?, Pattern Recognition, vol. 2781. Springer, pp. 212-219, 2003.

W.  Hinterberger, Scherzer, O., Schnörr, C., and Weickert, J., ?Analysis of Optical Flow Models in the Framework of Calculus of Variations?, Numer. Funct. Anal. Optimiz., vol. 23, pp. 69?89, 2002.

J.  Keuchel, Naumann, S., Heiler, M., and Siegmund, A., ?Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data?, Remote Sensing of Environment, 2002.

F. A.  Hamprecht, Thiel, W., and van Gunsteren, W. F., ?Chemical library subset selection algorithms: a unified derivation using spatial statistics?, Journal of Chemical Information and Computer Sciences, vol. 42, pp. 414-428, 2002.

B.  Jähne, Brocke, M., Eisele, H., Hader, S., Hamprecht, F. A., Happold, W., Raisch, F., and Restle, J., ?Für Anspruchsvolle - Multidimensionale Bildverarbeitung in der Produktion?, Qualität und Zuverlässigkeit, vol. 47, pp. 1154-1159, 2002.

M.  Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., ?Intercontinental transport of nitrogen oxide pollution plumes?, acpd, vol. 3, p. 2151--2165, 2002.

U.  Schimpf, Jähne, B., and Haußecker, H., ?On the investigations of statistical properties of the micro turbulence at the ocean surface?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 51--57.

C. S.  Garbe, Haußecker, H., and Jähne, B., ?Measuring the sea surface heat flux and probability distribution of surface renewal events?, in Gas Transfer at Water Surfaces, 2002, vol. 127, pp. 109-114.

P. J.  Gee, Hamprecht, F. A., Schuler, L. D., van Gunsteren, W. F., Duchardt, E., Schwalbe, H., Albert, M., and Seebach, D., ?A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution?, Helv. Chim. Acta, vol. 85, pp. 618-632, 2002.

B.  Jähne, Brocke, M., Eisele, H., Hader, S., Hamprecht, F. A., Happold, W., Raisch, F., and Restle, J., ?Multidimensionale Bildverarbeitung in der Produktion?, QZ, vol. 47, p. 1154--1159, 2002.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision -- ECCV 2002), 2002, vol. 2351, p. 93--108.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision ? ECCV 2002), 2002, vol. 2351, pp. 93?108.

E. J.  Bock, Edson, J. B., Frew, N. M., Hara, T., Haußecker, H., Jähne, B., McGilles, W. R., McKenna, S. P., Nelson, R. K., Schimpf, U., and Uz, B. M., ?Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 39--44.

H.  Haußecker, Schimpf, U., Garbe, C. S., and Jähne, B., ?Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 103--108.

T.  Hara, Uz, B. M., Wei, H., Edson, J. B., Frew, N. M., McGilles, W. R., McKenna, S. P., Bock, E. J., Haußecker, H., and Schimpf, U., ?Surface wave observations during CoOP experiments and their relations to air-sea gas transfer?, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 45--49.

K.  Wiehler, Heers, J., Schnörr, C., Stiehl, H. ?S., and Grigat, R. ?R., ?A 1D analog VLSI implementation for non-linear real-time signal preprocessing?, Real?Time Imaging, vol. 7, pp. 127?142, 2001.

H.  Haußecker and Fleet, D. J., ?Computing optical flow with physical models of brightness variation?, IEEE Trans. Pattern Analysis Machine Intelligence, vol. 23, p. 661--673, 2001.

M.  Heiler, Cremers, D., and Schnörr, C., ?Efficient Feature Subset Selection for Support Vector Machines?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 21/2001, 2001.

J.  Weickert, Heers, J., Schnörr, C., Zuiderveld, K. ?J., Scherzer, O., and Stiehl, H. ?S., ?Fast parallel algorithms for a broad class of nonlinear variational diffusion approaches?, Real?Time Imaging, vol. 7, pp. 31?45, 2001.

F. A.  Hamprecht, Achleitner, U., Krismer, A. C., Lindner, K. H., Wenzel, V., Strohmenger, H. - U., Thiel, W., and van Gunsteren, W. F., ?Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation?, Resuscitation, vol. 50, pp. 287-296, 2001.

J. L.  Barron and Spies, H., ?The fusion of image and range flow?, Multi-Image Search and Analysis. Springer, p. 174--192, 2001.

J.  Heers, Schnörr, C., and Stiehl, H. S., ?Globally?Convergent Iterative Numerical Schemes for Non?Linear Variational Image Smoothing and Segmentation on a Multi?Processor Machine?, IEEE Trans. Image Proc., vol. 10, pp. 852?864, 2001.

N. E.  Huang, Toba, Y., Shen, Z., Klinke, J., Jähne, B., and Banner, M. L., ?Ocean wave spectra and integral properties?, Wind Stress over the Ocean. Cambridge University Press, p. 82--123, 2001.

F. A.  Hamprecht, Jost, D., Rüttimann, M., Calamai, F., and Kowalski, J. J., ?Preliminary results on the prediction of countershock success with fibrillation power?, Resuscitation, vol. 50, pp. 297-299, 2001.

F. A.  Hamprecht, Peter, C., Daura, X., Thiel, W., and van Gunsteren, W. F., ?A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization?, Journal of Chemical Physics, vol. 114, pp. 2079-2089, 2001.

H.  Spies, Gröning, H., Haußecker, H., Jähne, B., and Haußecker, H., ?Analyzing particle movements at soil interfaces?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 648--649, 2000.

P.  Geißler, Jähne, B., Jähne, B., and Haußecker, H., ?Analyzing size spectra of oceanic air bubbles?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 634--635, 2000.

M.  Wenig, Leue, C., Platt, U., Jähne, B., and Haußecker, H., ?Cloud classification analyzing image sequences?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 652--653, 2000.

B.  Jähne and Haußecker, H., Computer Vision and Applications: A Guide for Students and Practitioners. Academic Press, 2000, p. 679.

S.  Eichkorn, Münsterer, T., Lode, U., Jähne, B., Jähne, B., and Haußecker, H., ?Fluorescence imaging of air-water gas exchange?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, pp. 644-645, 2000.

H.  Haußecker, Tizhoosh, H. R., and Jähne, B., ?Fuzzy image processing?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 541--576, 2000.

P.  Geißler and Jähne, B., ?Imaging optics?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 53--84, 2000.

U.  Schimpf, Haußecker, H., and Jähne, B., ?On the investigations of micro turbulence at the water surface using infrared imaging?, in IARGSS 2000, 2000.

H.  Spies, Haußecker, H., and Köhler, H. - J., ?Material transport and structure changes at soil-water interfaces?, in Filters and Drainage in Geotechnical and Environmental Engineering, 2000, p. 91--97.

V.  Hilsenstein, ?Methoden der Bildfolgenanalyse zur Untersuchung nichtlinearer Wasseroberflächenwellen?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. \ Heidelberg, 2000.

P.  Geißler, Scholz, T., Jähne, B., and Haußecker, H., ?Monitoring living biomass with in situ microscopy?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 632--633, 2000.

H.  Haußecker, Spies, H., and Jähne, B., ?Motion?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 347--395, 2000.

D.  Uttenweiler, Veigel, C., Steubing, R., Götz, C., Mann, S., Haußecker, H., Jähne, B., and Fink, R. H. A., ?Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.?, Biophys J, vol. 78, p. 2709--2715, 2000.

B.  Jähne, Jähne, B., and Haußecker, H., ?Neighborhood operators?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 273--345, 2000.

C.  Leue, Wenig, M., Platt, U., Jähne, B., and Haußecker, H., ?NOX Emissions Retrieved from Satellite Images?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 654--655, 2000.

D.  Schmund, Schurr, U., and Jähne, B., ?Optical leaf growth analysis?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 640-641, 2000.

D.  Engelmann, Stöhr, M., Garbe, C. S., Hering, F., and Jähne, B., ?Particle-tracking velocimetry?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 646-647, 2000.

B.  Jähne and Haußecker, H., ?Performance characteristics of low-level motion estimation in spatiotemporal images?, Performance Characterization in Computer Vision. Kluwer, Dordrecht, pp. pp. 139-152, 2000.

H.  Haußecker and Jähne, B., ?Radiation and illumination?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 11--52, 2000.

H.  Haußecker and Jähne, B., ?Radiometry of imaging?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 85--109, 2000.

B.  Jähne, Jähne, B., and Haußecker, H., ?Representation of multidimensional signals?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 211--272, 2000.

U.  Schimpf, Haußecker, H., Jähne, B., Jähne, B., and Haußecker, H., ?Small-scale air-sea interaction with thermography?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 638--639, 2000.

B.  Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., and Haußecker, H., ?Thermography to measure water relations of plant leaves?, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 636--637, 2000.

P.  Geißler, Dierig, T., Mallot, H. A., and Jähne, B., ?Three-dimensional imaging algorithms?, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 397--438, 2000.

C.  Schnörr, ?Variational Adaptive Smoothing and Segmentation?, in Computer Vision and Applications: A Guide for Students and Practitioners, San Diego, 2000, pp. 459?482.

M.  Stöhr, Garbe, C. S., Engelmann, D., Geißler, P., Gomes, S., Hering, F., Jähne, B., Keil, F., Mackens, W., Voß, H., and Wagner, H. - G., ?4D particle tracking velocimetry applied to gas-liquid reactors?, in In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control., J.  Werther, Ed. Springer Verlag, 1999, p. 270--279.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Air--sea gas transfer and micro turbulence at the ocean surface using infrared image processing?, in Geoscience and Remote Sensing Symposium, 1999. IGARSS apos;99 Proceedings. IEEE 1999 International, 1999, vol. 1, p. 11--13.

H.  Spies, Beringer, O., Gröning, H., Haußecker, H., Jähne, B., Haußecker, H., and Geißler, P., ?Analyzing particle movements at soil interfaces?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 699-718, 1999.

B.  Jähne, Jähne, B., Haußecker, H., and Geißler, P., ?Continuous and digital signals?, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 9--34, 1999.

P.  Geißler, Scholz, T., Jähne, B., Haußecker, H., and Geißler, P., ?Depth-from-focus for the measurement of size distributions of small particles?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 623-646, 1999.

H.  Spies, Haußecker, H., Jähne, B., and Barron, J. L., ?Differential range flow estimation?, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 309--316.

K. - H.  Noffz, Lay, R., Männer, R., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., ?Field Programmable Gate Array image processing?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, 1999.

H. - J.  Köhler, Spies, H., Beringer, O., and Haußecker, H., ?Fluidisation and deformation of submerged soil due to fluctuating water level?, in XII Europ. Conference on Soil Mechanics and Geotechnical Engineering, 1999, p. 1109--1115.

S.  Eichkorn, Münsterer, T., Lode, U., Jähne, B., Jähne, B., Haußecker, H., and Geißler, P., ?Fluorescenceimaging of air-water gas exchange?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 647-662, 1999.

H.  Haußecker, Tizhoosh, H. R., Jähne, B., Geißler, P., and Haußecker, H., ?Fuzzy image processing?, Handbook of Computer Vision and Applications, vol. 2: Signal Processing and Pattern Recognition. Academic Press, p. 683--727, 1999.

B.  Jähne, Geißler, P., and Haußecker, H., Handbook of Computer Vision and Applications. Academic Press, 1999.

B.  Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., ?The Heidelberg Aelotron --- a new facility for laboratory investigations of small-scale air-sea interaction?, in The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

B.  Jähne, Haußecker, H., Schimpf, U., and Balschbach, G., ?The Heidelberg Aeolotron - a new facility for laboratory investigations of small scale air-sea interaction?, in Poster presented at: The Wind-Driven Air-Sea Interface: Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Hyperspectral and color imaging?, Handbook of Computer Vision and Applications. Volume I: Sensors and Imaging. Academic Press, p. 309--320, 1999.

H.  Haußecker, Jähne, B., Geißler, P., and Haußecker, H., ?Illumination sources and techniques?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 137--162, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Image warping?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 193--206, 1999.

P.  Geißler, Jähne, B., Geißler, P., and Haußecker, H., ?Imaging optics?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 63--101, 1999.

H.  Haußecker, Jähne, B., Geißler, P., and Haußecker, H., ?Interaction of radiation with matter?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 37--62, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Interpolation?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 175--192, 1999.

J.  Heers, Schnörr, C., and Stiehl, H. S., ?Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation?, Comp. Sci. Dept., AB KOGS, University of Hamburg, Germany, 283/99, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Local averaging?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 153--174, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Local structure?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 209--238, 1999.

H.  Haußecker, Spies, H., Jähne, B., Geißler, P., and Haußecker, H., ?Motion?, Handbook of Computer Vision and Applications, vol. 2: Signal Processing and Pattern Recognition. Academic Press, p. 309--396, 1999.

B.  Jähne, Herrmann, H., Jähne, B., and Haußecker, H., ?Multimedia architectures?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, p. 31--52, 1999.

B.  Jähne, Jähne, B., Haußecker, H., and Geißler, P., ?Multiresolutional signal representation?, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 67--90, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Neighborhood operators?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 93--124, 1999.

D.  Engelmann, Stöhr, M., Garbe, C. S., Hering, F., Jähne, B., Haußecker, H., and Geißler, P., ?Particle-tracking velocimetry?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 663-697, 1999.

D.  Schmund, Schurr, U., Jähne, B., Haußecker, H., and Geißler, P., ?Plant-leaf growth studied by image sequence analysis?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 719-735, 1999.

B.  Jähne, Scharr, H., Körkel, S., Jähne, B., Haußecker, H., and Geißler, P., ?Principles of Filter Design?, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 125--151, 1999.

H.  Haußecker, Jähne, B., Geißler, P., and Haußecker, H., ?Radiation?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 7--35, 1999.

H.  Haußecker, Jähne, B., Geißler, P., and Haußecker, H., ?Radiometry of imaging?, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 103--135, 1999.

C.  Leue, Wenig, M., Platt, U., Jähne, B., Geißler, P., and Haußecker, H., ?Retrieval of Atmospheric Trace Gas Concentrations?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 783-805, 1999.

B.  Jähne, Jähne, B., and Haußecker, H., ?Spatial and fourier domain?, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 35--66, 1999.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Studies of air-sea gas transfer and micro turbulence at the ocean surface using passive thermography?, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999.

U.  Schimpf, Haußecker, H., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., ?Studies of small-scale air-sea interaction with active and passive thermography?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 751-762, 1999.

B.  Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., Geißler, P., and Haußecker, H., ?Thermography to measure water relations of plant leaves?, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 763-781, 1999.

H.  Haußecker, Garbe, C. S., Spies, H., and Jähne, B., ?A total least squares framework for low-level analysis of dynamic scenes and processes?, in Proceedings of the 21th DAGM Symposium on Pattern Recognition, 1999, p. 240--249.

C.  Schnörr, ?Variational Methods for Adaptive Image Smoothing and Segmentation?, in Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition, San Diego, 1999, vol. 2, pp. 451?484.

B.  Jähne and Haußecker, H., ?Air-water gas exchange?, Annu. Rev. Fluid Mech., vol. 30, p. 443--468, 1998.

J.  Heers, Schnörr, C., and Stiehl, H. S., ?A class of parallel algorithms for nonlinear variational image segmentation?, in Proc. Noblesse Workshop on Non?Linear Model Based Image Analysis (NMBIA'98), Glasgow, Scotland, 1998.

F. A.  Hamprecht, Cohen, A. J., Tozer, D. J., and Handy, N. C., ?Development and assessment of new exchange-correlation functionals?, Journal of Chemical Physics, vol. 109, pp. 6264-6271, 1998.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. S., ?Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi?Dimensional Signals?, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.

J.  Heers, Schnörr, C., and Stiehl, H. ?S., ?Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation?, in Proc. IEEE Int. Conf. Image Proc., Chicago, 1998.

U.  Schimpf, Haußecker, H., and Jähne, B., ?Measurements of air--sea gas transfer using active and passive thermography?, in Eurochem 387 "Remote Sensing of Slicks and Air--Sea Interactions", 1998.

H.  Haußecker, Schimpf, U., and Jähne, B., ?Measurements of the air-sea gas transfer and its mechanisms by active and passive thermography?, in Proc. IEEE International Geoscience and Remote Sensing Symposium IGARSS '98, 1998, vol. 1, p. 484--486 vol.1.

H.  Herrmann and Jähne, B., ?Modulare Software für die höherdimensionale Bildverarbeitung?, in 5. ABW-Workshop, TA Esslingen 20.--21.01.1998, 1998.

J.  Heers, Schnörr, C., and Stiehl, H. ?S., ?Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern?, in Mustererkennung 1998, Heidelberg, 1998.

F.  Hering, Wierzimok, D., Leue, C., and Jähne, B., ?Particle tracking velocimetry beneath water waves. part II : water waves?, Exp. Fluids, vol. 24, pp. 10-16, 1998.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. ?S., ?Real?Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology?, in Mustererkennung 1998, Heidelberg, 1998.

D.  Engelmann, Garbe, C. S., Stöhr, M., Geißler, P., Hering, F., and Jähne, B., ?Stereo particle tracking?, in Proc. of the 8th International Symposium on Flow Visualization, 1998, p. 240--249.

B.  Jähne, Haußecker, H., Scharr, H., Spies, H., Schmund, D., and Schurr, U., ?Study of dynamical processes with tensor-based spatiotemporal image processing techniques?, in ECCV 1998, 1998, vol. 1407, p. 322--336.

H.  Haußecker, Spies, H., and Jähne, B., ?Tensor-based image sequence processing techniques for the study of dynamical processes?, in Proc. Intern. Symp. On Real-time Imaging and Dynamic Analysis, 1998, p. 704--711.

M.  Bühl and Hamprecht, F. A., ?Theoretical Investigation of NMR Chemical Shifts and Reactivities of Oxovanadium (V) Compounds?, Journal of Computational Chemistry, vol. 19, pp. 113-122, 1998.

H.  Kubinyi, Hamprecht, F. A., and Mietzner, T., ?Threedimensional Quantitative Similarity-Activity Relationships (3DQSiAR) from SEAL Similarity Matrices?, Journal of Medicinal Chemistry, vol. 41, pp. 2553-2564, 1998.

B.  Jähne and Herrmann, H., ?3D-Exploration mit einer sich bewegenden Kamera?, in Bildverarbeitung'97, Forschen, Entwickeln, Anwenden, 1997.

F.  Hering, Haußecker, H., Dieter, J., Netzsch, T., and Jähne, B., ?A comprehensive study of algorithms for multidimensional flow field diagnostics?, in Proc. Optical 3D Measurement Techniques IV, Zurich, Sept. 29 - Oct. 2, 1997, 1997, p. 436--443.

F. A.  Hamprecht, Scott, W. R. P., and van Gunsteren, W. F., ?Generation of pseudo-native protein structures for threading?, Proteins, vol. 28, pp. 522-529, 1997.

F.  Hering, Wierzimok, D., Leue, C., and Jähne, B., ?Particle tracking velocimetry beneath water waves. Part I: visualization and tracking algorithms?, Exp. Fluids, vol. 23, p. 472--482, 1997.

H.  Reinecke, Fantana, N. L., Haußecker, H., and Jähne, B., ?Rekonstruktion von Schreiberkurven?, in Mustererkennung 1997, 1997, p. 527--536.

P. S.  Liss, Watson, A. J., Bock, E. J., Jähne, B., Asher, W. E., Frew, N. M., Hasse, L., Korenowski, G. M., Merlivat, L., Phillips, L. F., Schlüssel, P., and Woolf, D. K., ?Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases?, The Sea Surface and Global Change. Cambridge University Press, p. 1--33, 1997.

B.  Jähne, Haußecker, H., Platt, U., Schurr, U., and Stitt, M., ?The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes?, in Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997, 1997, p. 107--114.

S.  Gerloff, Hagemann, A., Schnörr, C., Tieck, S., Stiehl, H. S., Dombrowski, R., Dreyer, M., and Wiesendanger, R., ?Semi?Automated Analysis of SXM Images?, in Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM'97), Hamburg, Germany, 1997.

B.  Jähne and Herrmann, H., ?Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung?, in 4. ABW Workshop, TA Esslingen 22.--23.01.1997, 1997.

H.  Haußecker and Jähne, B., ?A tensor approach for precise computation of dense displacement vector fields?, in Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig, 1997, p. 199--208.

S.  Waas and Jähne, B., ?Combined height/slope/curvature measurements of short ocean wind waves?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 383--388.

F.  Hering, Wierzimok, D., Melville, W. K., and Jähne, B., ?Combined wave and flow field visualization for investigation of short-wave/long-wave interaction?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 133--138.

H. - J.  Köhler, Haußecker, H., and Jähne, B., ?Detection of particle movements at soil interfaces due to changing hydraulic load conditions, localised by a digital image processing technique?, in Proc. Geofilters 1996, Montreal, 1996.

H.  Herrmann, ?Eine vergleichende Studie zu der HISC-Rechnerarchitektur des Imagine-Rechners?, Fachbereich Informatik, FernUniv. Hagen, 1996.

G. R.  Spedding, Klinke, J., and Long, S. R., ?Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 373--382.

T.  Münsterer and Jähne, B., ?A fluorescence technique to measure concentration profiles in the aqueous mass boundary layer?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 517--522.

F.  Hering, ?Lagrangesche Untersuchungen des Strömungsfeldes unterhalb der wellenbewegten Wasseroberfläche mittels Bildfolgenanalyse?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

B.  Jähne, ?Measurements of the modulation of short waves from image sequences?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 389--394.

H.  Haußecker, ?Messung und Simulation von kleinskaligen Austauschvorgängen an der Ozeanoberfläche mittels Thermographie?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

B.  Jähne, Geißler, P., and Haußecker, H., Mustererkennung 1996, 18. DAGM-Symposium Heidelberg, 11.?13. September 1996. Springer, 1996.

F.  Hering, Balschbach, G., Jähne, B., and Waldhäusl, P., ?A novel system for the combined measurement of wave- and flow-fields beneath wind induced water waves?, in Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing, 1996, vol. 31, p. 231--236.

C.  Schnörr, ?Repräsentation von Bilddaten mit einem konvexen Variationsansatz?, in Mustererkennung 1996, Berlin, Heidelberg, 1996, pp. 21?28.

B.  Jähne, Haußecker, H., Hering, F., Balschbach, G., Klinke, J., Lell, M., Schmund, D., Schultz, M., Schurr, U., Stitt, M., and Platt, U., ?The role of active vision in exploring growth, transport, and exchange processes?, in Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996, 1996, vol. 4, p. 194--202.

C.  Leue, Geißler, P., Jähne, B., Jähne, B., Geißler, P., and Haußecker, H., ?Segmentierung von Partikelbildern in der Strömungsvisualisierung?, in Proceedings of 18th DAGM-Symposium Mustererkennung, 1996, p. 118--129.

H.  Haußecker and Jähne, B., ?A tensor approach for local structure analysis in multi-dimensional images?, in 3D Image Analysis and Synthesis, 1996, p. 171--178.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 749--754.

J.  Klinke and Jähne, B., ?Wave number spectra of short wind waves: implications from laboratory studies?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 367--372.

P.  van Vliet, Hering, F., Jähne, B., and Jähne, B., ?Delft Hydraulics Large Wind-Wave Flume?, in Air-Water Gas Transfer---Selected Papers from the Third International Symposium of Air--Water Gas Transfer in Heidelberg, 1995, p. 499--502.

E. J.  Bock, Edson, J. B., Frew, N. M., Karachintsev, A., McGilles, W. R., Nelson, R. K., Hansen, K., Jähne, B., Hara, T., Uz, B. M., Jähne, B., Dieter, J., Klinke, J., and Haußecker, H., ?Description of the science plan for the April 1995 CoOP experiment, `gas transfer in coastal waters', performed from the research vessel New Horizon?, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 801--810.

H.  Haußecker, Jähne, B., and Köhler, H. - J., ?Effiziente Filterstrukturen auf Mehrgitter-Datenstrukturen?, in Bildverarbeitung'95 - Forschen, Entwickeln, Anwenden, 1995, p. 43--57.

F.  Hering, Wierzimok, D., and Jähne, B., ?Enhanced turbulence beneath short wind-induced water waves as derived from Lagrangian flow fields?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 386.

F.  Hering, Balschbach, G., Menzel, M., Wierzimok, D., and Jähne, B., ?Flow- and wave-fields associated with micro-scale wave breaking as measured simultaneously by particle tracking and wave slope visualization?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 385.

H.  Haußecker, Reinelt, S., Jähne, B., and Jähne, B., ?Heat as a proxy tracer for gas exchange measurements in the field: principles and technical realization?, in Air--Water Gas Transfer: Selected Papers from the Third International Symposium on Air--Water Gas Transfer, 1995, p. 405--413.

H.  Haußecker, Shear, R., Melville, W. K., and Jähne, B., ?Horizontal and vertical spatial structures of turbulence beneath short wind waves?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 384.

H.  Haußecker, Jähne, B., and Jähne, B., ?In situ measurements of the air-sea gas transfer rate during the MBL/CoOP west coast experiment?, in Air-Water Gas Transfer - Selected Papers from the Third International Symposium on Air-Water Gas Transfer, 1995, p. 775--784.

H.  Haußecker, Beyer, M., and Jähne, B., ?Interaction of short wind waves and turbulent shear flow as revealed by simultaneous wave slope and surface turbulence visualization?, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 387.

F.  Hering, Wierzimok, D., Jähne, B., and Jähne, B., ?Measurements of enhanced turbulence in short wind-induced water waves?, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 775--784.

J.  Dieter, Hering, F., Bremeyer, R., Jähne, B., and Jähne, B., ?Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface?, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 145--152.

C.  Schnörr and Peckar, W., ?Motion-Based Identification of Deformable Templates?, in Proc. 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIP '95), Prague, Czech Republic, 1995, vol. 970, pp. 122-129.

F.  Hering, Merle, M., Wierzimok, D., and Jähne, B., ?Particle tracking in space time sequences?, in Computer Analysis of Images and Patterns, 1995, vol. 970, p. 294--301.

F.  Hering, Merle, M., Wierzimok, D., and Jähne, B., ?A robust technique for tracking particles over long image sequences?, in Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens., 1995, vol. XXX-5W1, p. 74--79.

N. M.  Frew, Bock, E. J., McGilles, W. R., Karachintsev, A., Hara, T., Münsterer, T., Jähne, B., and Jähne, B., ?Variation of air--water gas transfer with wind stress and surface viscoelasticity?, in Air-water Gas Transfer, Selected Papers from the Third International Symposium on Air-Water Gas Transfer, 1995, p. 529--541.

J.  Heikkonen, Koikkalainen, P., and Schnörr, C., ?Building Trajectories via Selforganization from Spatiotemporal Features?, in 12th Int. Conf. on Pattern Recognition, Jerusalem, Israel, 1994.

J.  Dieter, Bremeyer, R., and Hering, F., ?Flow measurements close to the free air/sea interface?, in Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994, 1994, vol. II, p. 22.2.1--6.

H.  Haußecker and Jähne, B., ?In-situ measurements of the air-sea gas transfer using heat as a proxy tracer?, in Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994, 1994.

C.  Schnörr, Niemann, H., and Kopecz, J., ?Architekturkonzepte zur Bildauswertung?, in Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Berlin, 1993, pp. 268?274.

P.  Geißler, Jähne, B., and Pöppl, S. J., ?Depth-from-focus zur Bestimmung der Konzentration und Größe von Gasblasen?, in Proc. 15. DAGM-Symposium Mustererkennung, 1993, p. 560--567.

H.  Haußecker and Jähne, B., ?Ein Mehrgitterverfahren zur Bewegungssegmentierung in Bildfolgen?, in Proc. 15. DAGM-Symposium Mustererkennung, 1993, p. 27--31.

B.  Jähne, Klinke, J., Geißler, P., and Hering, F., ?Image sequence analysis of ocean wind waves?, in Imaging in Transport Processes, 1993, p. 257--268.

B.  Jähne, ?Imaging of gas transfer across gas/liquid interfaces?, in Imaging in Transport Processes, 1993, p. 247--256.

H.  Haußecker, ?Mehrgitter-Bewegungssegmentierung in Bildfolgen mit Anwendung zur Detektion von Sedimentverlagerungen?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1993.

R.  Sprengel and Schnörr, C., ?Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme?, in Mustererkennung 1993, 15. DAGM-Symposium, 1993, pp. 134?141.

D.  Wierzimok and Hering, F., ?Quantitative imaging of transport in fluids with digital particle tracking velocimetry?, in Imaging in Transport Processes, 1993, p. 297--308.

B.  Jähne, Waas, S., and Klinke, J., ?Shape from shading techniques for short ocean wind waves?, in Imaging in Transport Processes, 1993, p. 269--281.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1993, p. 749--754.

T.  Netzsch and Jähne, B., ?Dreidimensionale Messung turbulenter Strömung mit Bildverarbeitung?, in Proc. 14. DAGM-Symposium zur Mustererkennung, 1992, p. 150--153.

C.  Schnörr and Neumann, B., ?Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen?, in Mustererkennung 1992, 14. DAGM-Symposium, Dresden, 1992, pp. 411?416.

F.  Hering, ?Messungen von Transportgeschwindigkeiten in winderzeugten Wasserwellen mittels digitaler Bildfolgenanalyse?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1992.

D.  Wierzimok, Hering, F., and Brunswig, F., ?Tracking in Strömungsbildfolgen?, in Proc. 14. DAGM-Symposium Mustererkennung, 1992.

D.  Halsema, Jähne, B., Calkoen, C. J., and Snoeij, P., ?First results of the VIERS-1 experiment?, in Radar Scattering from Modulated Wind Waves, W. A.  Oost, Komen, G. J., and Oost, W. A., Eds. Kluwer Academic Publishers, 1989, p. 49--57.

C.  Schnörr, ?Zur Schätzung von Geschwindigkeitsvektorfeldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung?, in Mustererkennung 1989, 11. DAGM-Symposium, Hamburg, 1989, vol. 219, pp. 294?301.

B.  Jähne, Heinz, G., and Dietrich, W., ?Measurement of the diffusion coefficients of sparingly soluble gases in water?, J. Geophys. Res., vol. 92, p. 10,767--10,776, 1987.

B.  Jähne, Münnich, K. O., Bösinger, R., Dutzi, A., Huber, W. A., and Libner, P., ?On the parameters influencing air-water gas exchange?, J. Geophys. Res., vol. 92, p. 1937--1950, 1987.

W. A.  Huber, ?Zweidimensionale Wellenzahlspektren von Wasseroberflächenwellen: Aufbau eines neuartigen Verfahrens?. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1987.

G.  Heinz, ?Messung der Diffusionskonstanten von in Wasser gelösten Gasen mit einem modifizierten Barrerverfahren?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1986.

W. A.  Huber, ?Aufbau eines gaschromatographischen Messsystems für Gasaustauschmessungen; Windkanalmessungen zur Schmidtzahl- und Wellenbildabhängigkeit des Gasaustausches?, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1984.

B.  Jähne, Huber, W. A., Dutzi, A., Wais, T., and Ilmberger, J., ?Wind/wave-tunnel experiments on the Schmidt number and wave field dependence of air-water gas exchange?, in Gas transfer at water surfaces, 1984, p. 303--309.

J.  Tschiersch and Jähne, B., ?Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 63--70, 1980.

B.  Jähne and Siegenthaler, U., ?The influence of surface tension on gas exchange: measurements of gas exchange with alcohol/water mixtures in a circular wind-water tunnel?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 103--108, 1980.

B.  Jähne and Münnich, K. O., ?Momentum induced gas exchange through a smooth water surface, models and experimental results from linear and circular wind-water tunnels?, Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg, p. 55--62, 1980.