All Publications

2015
Schiegg, M, Heuer, B, Haubold, C, Wolf, S, Köthe, U and Hamprecht, F A (2015). Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models. ISBI. Proceedings. 394-398 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (648.55 KB)
Kandemir, M and Hamprecht, F A (2015). The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors. NIPS. Proceedings. 44 145-159 Google Scholar BibTeX RTF EndNote XML Supplementary Material (223.39 KB) Technical Report (2.58 MB)
Schiegg, M, Hanslovsky, P, Haubold, C, Köthe, U, Hufnagel, L and Hamprecht, F A (2015). Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell. Bioinformatics. 31 948-956. http://bioinformatics.oxfordjournals.org/content/early/2014/11/17/bioinformatics.btu764.full.pdf?keytype=ref&ijkey=mTXWsiFrci7R8tc DOI Google Scholar BibTeX RTF EndNote XML Technical Report (534.29 KB)
Schiegg, M (2015). Multi-Target Tracking with Probabilistic Graphical Models. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Kreshuk, A, Walecki, R, Köthe, U, Gierthmühlen, M, Plachta, D, Genoud, C, Haastert-Talini, K and Hamprecht, F A (2015). Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves. Journal of Microscopy. 259 (2) 143-154 DOI Google Scholar BibTeX RTF EndNote XML
Kreshuk, A, Funke, J, Cardona, A and Hamprecht, F A (2015). Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain. MICCAI. Proceedings. Springer. LNCS 9349 661-668 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.14 MB)
Krasowski, N, Beier, T, Knott, G W, Köthe, U, Hamprecht, F A and Kreshuk, A (2015). Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors. 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015. 536-539 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.25 MB)
Funke, J, Hamprecht, F A and Zhang, C (2015). Learning to Segment: Training Hierarchical Segmentation under a Topological Loss. MICCAI. Proceedings, Part III. Springer. 9351 268-275 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.92 MB)
Kandemir, M (2015). Asymmetric transfer learning with deep Gaussian processes. ICML. Proceedings. 730-738 Google Scholar BibTeX RTF EndNote XML Technical Report (570.95 KB)
Kauppi, J P, Kandemir, M, Saarinen, V M, Hirvenkari, L, Parkkonen, L, Klami, A, Hari, R and Kaski, S (2015). Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage. 112 288-298 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.39 MB)
Kappes, J H, 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 (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.5 MB)
Cali, C, Baghabra, J, Boges, D J, Holst, G R, Kreshuk, A, Hamprecht, F A, Srinivasan, M, Lehväslaiho, H and Magistretti, P J (2015). Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues. Journal of Comparative Neurology. 524 23-38 DOI Google Scholar BibTeX RTF EndNote XML
Kandemir, M and Hamprecht, F A (2015). Cell event detection in phase-contrast microscopy sequences from few annotations. MICCAI. Proceedings. Springer. LNCS 9351 316-323 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (564.69 KB)
Peter, S (2015). Spatio-Temporal Motif Deconvolution For Calcium Image Analysis. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Beier, T, Hamprecht, F A and Kappes, J H (2015). Fusion Moves for Correlation Clustering. CVPR. Proceedings. 3507-3516 Google Scholar BibTeX RTF EndNote XML Technical Report (1.19 MB)

2014
Kandemir, M, Klami, A, Gonen, M, Vetek, A and Kaski, S (2014). Multi-task and multi-view learning of user state. Neurocomputing. 139 97-106 DOI Google Scholar BibTeX RTF EndNote XML
Drory, A, Haubold, C, Avidan, S and Hamprecht, F A (2014). Semi-Global Matching: A Principled Derivation in Terms of Message Passing. GCPR. Proceedings. 43-53 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.6 MB)
Straehle, C N, Kandemir, M, Köthe, U and Hamprecht, F A (2014). Multiple instance learning with response-optimized random forests. ICPR. Proceedings. 3768 - 3773 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (296.66 KB)
Fiaschi, L, Diego, F, Grosser, K - H, Schiegg, M, Köthe, U, Zlatic, M and Hamprecht, F A (2014). Tracking indistinguishable translucent objects over time using weakly supervised structured learning. CVPR. Proceedings. 2736 - 2743 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.47 MB)
Tek, B F, Kröger, T, Mikula, S and Hamprecht, F A (2014). Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue. ISBI. Proceedings. 69-72 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (533.92 KB)
Köthe, U, Herrmannsdörfer, F, Kats, I and Hamprecht, F A (2014). SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy. Histochemistry and Cell Biology. 141 613-627 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.29 MB)
Diego, F and Hamprecht, F A (2014). Sparse Space-Time Deconvolution for Calcium Image Analysis. NIPS. Proceedings. 64-72. http://papers.nips.cc/paper/5342-sparse-space-time-deconvolution-for-calcium-image-analysis Google Scholar BibTeX RTF EndNote XML Technical Report (5.27 MB)
Decker, C and Hamprecht, F A (2014). Detecting individual body parts improves mouse behavior classification. Workshop on visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 22nd International Conference on Pattern Recognition (ICPR). Proceedings Google Scholar BibTeX RTF EndNote XML Technical Report (1.48 MB)
Kandemir, M, Feuchtinger, A, Walch, A and Hamprecht, F A (2014). Digital Pathology: Multiple instance learning can detect Barrett'scancer. ISBI. Proceedings. 1348-1351 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.86 MB)
Urban, G (2014). Neural Networks: Optimization And Applications. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Urban, G, Bendszus, M, Hamprecht, F A and Kleesiek, J (2014). Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution. 31-35 Google Scholar BibTeX RTF EndNote XML
Decker, C (2014). Automated Animal Behavior Classification. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Blumenthal, F (2014). Information-Geometric Optimization For Image Segmentation. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Beier, T (2014). Graph Based Image Analysis. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Straehle, C N (2014). Interactive Segmentation, Uncertainty and Learning. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Kandemir, M and Hamprecht, F A (2014). Computer-aided diagnosis from weak supervision: A benchmarking study. Computerized Medical Imaging and Graphics. 42 44-50 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (4.28 MB)
Welbl, J (2014). Casting Random Forests as Artificial Neural Networks (and Profiting from It). GCPR. Proceedings. 765-771 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (376.24 KB)
Wieler, M (2014). Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Kreshuk, A, Köthe, U, Pax, E, Bock, D D and Hamprecht, F A (2014). Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks. PLoS ONE. 9 2 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (16.66 MB)
Lou, X, Kloft, M, Rätsch, G and Hamprecht, F A (2014). Structured Learning from Cheap Data. Advanced Structured Prediction. The MIT Press Google Scholar BibTeX RTF EndNote XML Technical Report (8.35 MB)
Kröger, (2014). Learning-based Segmentation for Connectomics. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Kröger, T, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2014). Asymmetric Cuts: Joint Image Labeling and Partitioning. Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings. http://dx.doi.org/10.1007/978-3-319-11752-2_16 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.46 MB)
Beier, T, Kröger, T, Kappes, J H, Köthe, U and Hamprecht, F A (2014). Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning. 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014. http://dx.doi.org/10.1109/CVPR.2014.17 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (10.06 MB)
Yarkony, J, Beier, T, Baldi, P and Hamprecht, F A (2014). Parallel Multicut Segmentation via Dual Decomposition. 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. http://dx.doi.org/10.1007/978-3-319-17876-9_4 DOI Google Scholar BibTeX RTF EndNote XML
Kleesiek, J, Biller, A, Urban, G, Köthe, U, Bendszus, M and Hamprecht, F A (2014). ilastik for Multi-modal Brain Tumor Segmentation. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace. 12-17 Google Scholar BibTeX RTF EndNote XML Technical Report (405.91 KB)

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All Publications

2015

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