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 Ardizzone, L, Mackowiak, R, Rother, C and K\'f6the, U (2020). Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. http://arxiv.org/abs/2001.06448\par \par  Kruse, J, Ardizzone, L, Rother, C and K\'f6the, U (2019). Benchmarking Invertible Architectures On Inverse Problems\par \par  Ardizzone, L, L\'fcth, C, Kruse, J, Rother, C and K\'f6the, U (2019). Guided Image Generation with Conditional Invertible Neural Networks. http://arxiv.org/abs/1907.02392\par \par  Ardizzone, L, L\'fcth, C, Kruse, J, Rother, C and K\'f6the, U (2019). Guided Image Generation with Conditional Invertible Neural Networks. http://arxiv.org/abs/1907.02392\par \par  Berg, S, 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, Beuttenm\'fcller, F, Wolny, A, Zhang, C, K\'f6the, U, Hamprecht, F A and Kreshuk, A (2019). ilastik: interactive machine learning for (bio)image analysis. Nature Methods. 16 1226-1232\par \par  Adler, T J, Ayala, L, Ardizzone, L, Kenngott, H G, Vemuri, A, M\'fcller-Stich, B P, Rother, C, K\'f6the, U and Maier-Hein, L (2019). Out of Distribution Detection for Intra-operative Functional Imaging. MICCAI UNSURE Workshop 2019. 11840 LNCS 75?82\par \par  Wolf, S, Pape, C, Bailoni, A, Rahaman, N, Kreshuk, A, K\'f6the, U and Hamprecht, F A (2018). The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning. ECCV. Proceedings. Springer. 571-587\par \par  Wolf, S, Pape, C, Bailoni, A, Rahaman, N, Kreshuk, A, K\'f6the, U and Hamprecht, F A (2018). The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11208 LNCS 571?587. http://arxiv.org/abs/1904.12654\par \par  Wolf, S, Schott, L, K\'f6the, U and Hamprecht, F A (2017). Learned Watershed: End-to-End Learning of Seeded Segmentation. ICCV. 2030-2038\par \par  Beier, T, Pape, C, Rahaman, N, Prange, T, Berg, S, Bock, D, Cardona, A, Knott, G W, Plaza, S M, Scheffer, L K, K\'f6the, U, Kreshuk, A and Hamprecht, F A (2017). Multicut brings automated neurite segmentation closer to human performance. Nature Methods. 14 101-102. http://rdcu.be/oVDQ\par \par  Krasowki, N, Beier, T, Knott, G W, K\'f6the, U, Hamprecht, F A and Kreshuk, A (2017). Neuron Segmentation with High-Level Biological Priors. IEEE Transactions on Medical Imaging. 37\par \par  Beier, T, Andres, B, K\'f6the, U and Hamprecht, F A (2016). An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem. ECCV. Proceedings. Springer. LNCS 9906 715-730\par \par  Haubold, C, Schiegg, M, Kreshuk, A, Berg, S, K\'f6the, U and Hamprecht, F A (2016). Segmenting and Tracking Multiple Dividing Targets Using ilastik. Focus on Bio-Image Informatics. Springer. 219 199-229\par \par  Kleesiek, J, Petersen, J, D\'f6ring, M, Maier-Hein, K, K\'f6the, U, Wick, W, Hamprecht, F A, Bendszus, M and Biller, A (2016). Virtual Raters for Reproducible and Objective Assessments in Radiology. Nature Scientific Reports. 6\par \par  Kreshuk, A, Walecki, R, K\'f6the, U, Gierthm\'fchlen, 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\par \par  Schiegg, M, Hanslovsky, P, Haubold, C, K\'f6the, 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\par \par  Krasowski, N, Beier, T, Knott, G W, K\'f6the, 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\par \par  Schiegg, M, Heuer, B, Haubold, C, Wolf, S, K\'f6the, U and Hamprecht, F A (2015). Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models. ISBI. Proceedings. 394-398\par \par  Kr\'f6ger, T, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2014). Asymmetric Cuts: Joint Image Labeling and Partitioning. Pattern Recognition - 36th German Conference, \{GCPR\} 2014, M\'fcnster, Germany, September 2-5, 2014, Proceedings. http://dx.doi.org/10.1007/978-3-319-11752-2_16\par \par  Kreshuk, A, K\'f6the, 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\par \par  Beier, T, Kr\'f6ger, T, Kappes, J H, K\'f6the, 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\par \par  Kleesiek, J, Biller, A, Urban, G, K\'f6the, 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\par \par  Straehle, C N, Kandemir, M, K\'f6the, U and Hamprecht, F A (2014). Multiple instance learning with response-optimized random forests. ICPR. Proceedings. 3768 - 3773\par \par  K\'f6the, U, Herrmannsd\'f6rfer, 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\par \par  Fiaschi, L, Diego, F, Grosser, K - H, Schiegg, M, K\'f6the, U, Zlatic, M and Hamprecht, F A (2014). Tracking indistinguishable translucent objects over time using weakly supervised structured learning. CVPR. Proceedings. 2736 - 2743\par \par  Straehle, C N, Peter, S, K\'f6the, U and Hamprecht, F A (2013). K-smallest Spanning Tree Segmentations. German Conference on Pattern Recognition (DAGM/GCPR). Proceedings. Springer. 375-384\par \par  Kr\'f6ger, T, Mikula, S, Denk, W, K\'f6the, U and Hamprecht, F A (2013). Learning to Segment Neurons with Non-local Quality Measures. MICCAI 2013. Proceedings, part II. Springer. 8150 419-427\par \par  Straehle, C N, K\'f6the, U and Hamprecht, F A (2013). Weakly supervised learning of image partitioning using decision trees with structured split criteria. ICCV 2013. Proceedings. 1849-1856\par \par  Andres, B, K\'f6the, U, Kr\'f6ger, T, Helmstaedter, M, Briggmann, K L, Denk, W and Hamprecht, F A (2012). 3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries. Medical Image Analysis. 16 (2012) 796-805\par \par  Hanselmann, M, R\'f6der, J, K\'f6the, U, Renard, B Y, Heeren, R M A and Hamprecht, F A (2012). Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images. Analytical Chemistry. 85 (1) 147-155\par \par  Kausler, B X, Schiegg, M, Andres, B, Lindner, M, K\'f6the, U, Leitte, H, Wittbrodt, J, Hufnagel, L and Hamprecht, F A (2012). A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. ECCV 2012. Proceedings. 7574 144-157\par \par  Andres, B, Kr\'f6ger, T, Briggmann, K L, Denk, W, Norogod, N, Knott, G W, K\'f6the, U and Hamprecht, F A (2012). Globally Optimal Closed-Surface Segmentation for Connectomics. ECCV 2012. Proceedings, Part 3. 778-791\par \par  Andres, B, Kappes, J Hendrik, Beier, T, K\'f6the, U and Hamprecht, F A (2012). The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models. ECCV 2012\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2012). The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. Computer Vision - \{ECCV\} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part \{VII\}. http://dx.doi.org/10.1007/978-3-642-33786-4_12\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2012). The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models. ECCV 2012\par \par  Fiaschi, L, Nair, R, K\'f6the, U and Hamprecht, F A (2012). Learning to Count with Regression Forest and Structured Labels. ICPR 2012. Proceedings. 2685-2688\par \par  Lou, X, Fiaschi, L, K\'f6the, U and Hamprecht, F A (2012). Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MICCAI-MLMI. Proceedings. 176-183\par \par  Straehle, C N, K\'f6the, U, Briggman, K, Denk, W and Hamprecht, F A (2012). Seeded watershed cut uncertainty estimators for guided interactive segmentation. CVPR 2012. Proceedings. 765 - 772\par \par  Kreshuk, A, Straehle, C N, Sommer, C, K\'f6the, U, Cantoni, M, Knott, G W and Hamprecht, F A (2011). Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images. PLoS ONE. 6 (10)\par \par  Kreshuk, A, Straehle, C N, Sommer, C, K\'f6the, U, Knott, G W and Hamprecht, F A (2011). Automated Segmentation of Synapses in 3D EM Data. Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings. 220-223\par \par  Straehle, C N, K\'f6the, U, Knott, G W and Hamprecht, F A (2011). Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images. MICCAI 2011, Proceedings. Springer. 6891 653-660\par \par  Lou, X, Kaster, F O, Lindner, M, Kausler, B X, K\'f6the, U, H\'f6ckendorf, B, Wittbrodt, J, J\'e4nicke, H and Hamprecht, F A (2011). DELTR: Digital Embryo Lineage Tree Reconstructor. Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings. 1557-1560\par \par  Sommer, C, Straehle, C N, K\'f6the, U and Hamprecht, F A (2011). ilastik: Interactive Learning and Segmentation Toolkit. Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings. 230-233\par \par  Menze, B H, Kelm, B Michael, Splitthoff, N, K\'f6the, U and Hamprecht, F A (2011). On oblique random forests. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings. Springer. 453-469\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. ICCV, Proceedings. 2611 - 2618\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV\par \par  Andres, B, Kappes, J H, Beier, T, K\'f6the, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCV\par \par  Hanselmann, M, Voss, B, Renard, B Y, Lindner, M, K\'f6the, U, Kirchner, M and Hamprecht, F A (2011). SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists. Bioinformatics. 27 (7) 987-993\par \par  Kirchner, M, Renard, B Y, K\'f6the, U, Pappin, D J, Hamprecht, F A, Steen, J A J and Steen, H (2010). Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments. Bioinformatics. 26 (1) 77-83\par \par  Lou, X, Kirchner, M, Renard, B Y, K\'f6the, U, Graf, C, Lee, C, Steen, J A J, Steen, H, Mayer, M P and Hamprecht, F A (2010). Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments. Bioinformatics. 26(12) 1535-1541\par \par  Andres, B, Kappes, J H, K\'f6the, U, Schn\'f6rr, C and Hamprecht, F A (2010). An Empirical Comparison of Inference Algorithms for Graphical Modelswith Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium. 353-362\par \par  Andres, B, Kappes, J H, K\'f6the, U, Schn\'f6rr, C and Hamprecht, F A (2010). An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. Pattern Recognition, Proc.~32th DAGM Symposium\par \par  K\'f6the, U, Andres, B, Kr\'f6ger, T and Hamprecht, F A (2010). Geometric Analysis of 3D Electron Microscopy Data. Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM). 22-26\par \par  Andres, B, K\'f6the, U, Kr\'f6ger, T and Hamprecht, F A (2010). How to Extract the Geometry and Topology from Very Large 3D Segmentations. ArXiv e-prints. http://arxiv.org/abs/1009.6215\par \par  Andres, B, Kappes, J H, K\'f6the, U and Hamprecht, F A (2010). The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search. ArXiv e-prints. http://arxiv.org/abs/1009.4102\par \par  Andres, B, K\'f6the, U, Kr\'f6ger, T and Hamprecht, F A (2010). Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x. ArXiv e-prints. http://arxiv.org/abs/1008.2909v1\par \par  B\'e4hnisch, C, Stelldinger, P and K\'f6the, U (2009). Fast and Accurate 3D Edge Detection for Surface Reconstruction. Pattern Recognition. Springer. 5748 111-120\par \par  Hanselmann, M, K\'f6the, U, Renard, B Y, Kirchner, M, Heeren, R M A and Hamprecht, F A (2009). Multivariate Watershed Segmentation of Compositional Data. Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press. Springer. 5810 180-192\par \par  Meine, H, K\'f6the, U and Stelldinger, P (2009). Pixel Approximation Errors in Common Watershed Algorithms. Discrete Geometry for Computer Imagery. Springer. 5810 193-202\par \par  Meine, H, K\'f6the, U and Stelldinger, P (2009). Pixel Approximation Errors in Common Watershed Algorithms. Discrete Geometry for Computer Imagery. Springer. 5810 193-202\par \par  Andres, B, K\'f6the, U, Bonea, A, Nadler, B and Hamprecht, F A (2009). Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Springer. 5748 502-511\par \par  Frank, M, Plaue, M, Rapp, H, K\'f6the, U, J\'e4hne, B and Hamprecht, F A (2009). Theoretical and Experimental Error Analysis of Continuous-Wave Time-Of-Flight Range Cameras. Optical Engineering. 48, 013602\par \par  Frank, M, Plaue, M, Rapp, H, K\'f6the, U, J\'e4hne, B and Hamprecht, F A (2009). Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras. Opt. Eng. 48 013602\par \par  Hanselmann, M, K\'f6the, U, Kirchner, M, Renard, B Y, Amstalden, E R, Glunde, K, Heeren, R M A and Hamprecht, F A (2009). Towards Digital Staining using Imaging Mass Spectrometry and Random Forests. Journal of Proteome Research. 8 3558-3567\par \par  Andres, B, Kondermann, C, Kondermann, D, K\'f6the, U, Hamprecht, F A and Garbe, C S (2008). 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. 1-6\par \par  K\'f6the,  (2008). Reliable Low-Level Image Analysis. Habilitation thesis. Department Informatik, University of Hamburg, Hamburg\par \par  Andres, B, K\'f6the, U, Helmstaedter, M, Denk, W and Hamprecht, F A (2008). Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings. Springer. 5096 142-152\par \par  Meine, H, K\'f6the, U and Stelldinger, P (2008). A Topological Sampling Theorem for Robust Boundary Reconstructionand Image Segmentation. Discrete Applied Mathematics. 157 524-541\par \par  K\'f6the,  (2008). What Can We Learn from Discrete Images about the Continuous World. Discrete Geometry for Computer Imagery. Springer. 4992 4-19\par \par }