Fred A. Hamprecht

172 papers A* 32A 5B 3Journal 68Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deconstruct to reconstruct: an automated pipeline for parsing complex CT assemblies. Mach. Vis. Appl. Peter Lippmann, Roman Remme, Fred A. Hamprecht
2025	A*	`conf`	Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing. ICLR Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A. Hamprecht
2025	J	`jnl`	Equivariance by Local Canonicalization: A Matter of Representation. CoRR Gerrit Gerhartz, Peter Lippmann, Fred A. Hamprecht
2025	J	`jnl`	Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant. CoRR Jonas Spinner, Luigi Favaro, Peter Lippmann, Sebastian Pitz, Gerrit Gerhartz, Tilman Plehn, Fred A. Hamprecht
2025	J	`jnl`	Low-dimensional embeddings of high-dimensional data. CoRR Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak
2025	J	`jnl`	Stable and Accurate Orbital-Free DFT Powered by Machine Learning. CoRR Roman Remme, Tobias Kaczun, Tim Ebert, Christof A. Gehrig, Dominik Geng, Gerrit Gerhartz, Marc K. Ickler, Manuel V. Klockow, Peter Lippmann, Johannes S. Schmidt, Simon Wagner, Andreas Dreuw, Fred A. Hamprecht
2024	J	`jnl`	Expectation and Variance of the Degree of a Node in Random Spanning Trees. CoRR Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
2024	J	`jnl`	Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122). Dagstuhl Reports Dmitry Kobak, Fred A. Hamprecht, Smita Krishnaswamy, Gal Mishne, Sebastian Damrich
2024	—	`conf`	SynCellFactory: Generative Data Augmentation for Cell Tracking. MICCAI (12) Moritz Sturm, Lorenzo Cerrone, Fred A. Hamprecht
2024	J	`jnl`	SynCellFactory: Generative Data Augmentation for Cell Tracking. CoRR Moritz Sturm, Lorenzo Cerrone, Fred A. Hamprecht
2024	J	`jnl`	Tensor Frames - How To Make Any Message Passing Network Equivariant. CoRR Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A. Hamprecht
2024	J	`jnl`	The Central Spanning Tree Problem. CoRR Enrique Fita Sanmartín, Christoph Schnörr, Fred A. Hamprecht
2024	A*	`conf`	Truth is Universal: Robust Detection of Lies in LLMs. NeurIPS Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
2024	J	`jnl`	Truth is Universal: Robust Detection of Lies in LLMs. CoRR Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
2023	A*	`conf`	From $t$-SNE to UMAP with contrastive learning. ICLR Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
2023	A*	`conf`	Geometric Autoencoders - What You See is What You Decode. ICML Philipp Nazari, Sebastian Damrich, Fred A. Hamprecht
2023	J	`jnl`	Geometric Autoencoders - What You See is What You Decode. CoRR Philipp Nazari, Sebastian Damrich, Fred A. Hamprecht
2023	J	`jnl`	KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory. CoRR Roman Remme, Tobias Kaczun, Maximilian Scheurer, Andreas Dreuw, Fred A. Hamprecht
2022	A*	`conf`	CellTypeGraph: A New Geometric Computer Vision Benchmark. CVPR Lorenzo Cerrone, Athul Vijayan, Tejasvinee Mody, Kay Schneitz, Fred A. Hamprecht
2022	J	`jnl`	CellTypeGraph: A New Geometric Computer Vision Benchmark. CoRR Lorenzo Cerrone, Athul Vijayan, Tejasvinee Mody, Kay Schneitz, Fred A. Hamprecht
2022	J	`jnl`	Contrastive learning unifies t-SNE and UMAP. CoRR Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak
2022	A*	`conf`	GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. CVPR Alberto Bailoni, Constantin Pape, Nathan Hütsch, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht
2022	A*	`conf`	The Algebraic Path Problem for Graph Metrics. ICML Enrique Fita Sanmartín, Sebastian Damrich, Fred A. Hamprecht
2022	A*	`conf`	Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources. NeurIPS Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht
2022	J	`jnl`	Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources. CoRR Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht
2022	J	`jnl`	Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. Bioinform. Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht
2021	A*	`conf`	Directed Probabilistic Watershed. NeurIPS Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht
2021	A*	`conf`	Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. ICCV Erik Jenner, Enrique Fita Sanmartín, Fred A. Hamprecht
2021	J	`jnl`	Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. CoRR Erik Jenner, Enrique Fita Sanmartín, Fred A. Hamprecht
2021	—	`conf`	Multistar: Instance Segmentation Of Overlapping Objects With Star-Convex Polygons. ISBI Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht
2021	A*	`conf`	On UMAP's True Loss Function. NeurIPS Sebastian Damrich, Fred A. Hamprecht
2021	J	`jnl`	The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning. IEEE Trans. Pattern Anal. Mach. Intell. Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht
2021	J	`jnl`	UMAP does not reproduce high-dimensional similarities due to negative sampling. CoRR Sebastian Damrich, Fred A. Hamprecht
2021	J	`jnl`	Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. CoRR Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht
2020	—	`conf`	DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging. MICCAI (5) Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht
2020	J	`jnl`	End-to-End Learning of Decision Trees and Forests. Int. J. Comput. Vis. Thomas M. Hehn, Julian F. P. Kooij, Fred A. Hamprecht
2020	A	`conf`	Inpainting Networks Learn to Separate Cells in Microscopy Images. BMVC Steffen Wolf, Fred A. Hamprecht, Jan Funke
2020	J	`jnl`	Instance Separation Emerges from Inpainting. CoRR Steffen Wolf, Fred A. Hamprecht, Jan Funke
2020	J	`jnl`	MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons. CoRR Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht
2020	—	`conf`	Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks. GCPR Alberto Bailoni, Constantin Pape, Steffen Wolf, Anna Kreshuk, Fred A. Hamprecht
2020	J	`jnl`	Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks. CoRR Alberto Bailoni, Constantin Pape, Steffen Wolf, Anna Kreshuk, Fred A. Hamprecht
2020	—	`conf`	The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. ECCV (6) Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht
2019	J	`jnl`	A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation. CoRR Alberto Bailoni, Constantin Pape, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht
2019	J	`jnl`	DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis. CoRR Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht
2019	A*	`conf`	Deep Active Learning with Adaptive Acquisition. IJCAI Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir
2019	J	`jnl`	Deep Active Learning with Adaptive Acquisition. CoRR Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir
2019	A*	`conf`	End-To-End Learned Random Walker for Seeded Image Segmentation. CVPR Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht
2019	J	`jnl`	End-to-End Learned Random Walker for Seeded Image Segmentation. CoRR Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht
2019	—	`conf`	LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. ICLR (Poster) Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht
2019	A*	`conf`	On the Spectral Bias of Neural Networks. ICML Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville
2019	A*	`conf`	Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning. NeurIPS Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht
2019	J	`jnl`	Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning. CoRR Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht
2019	A	`conf`	Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. UAI Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir
2019	J	`jnl`	The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning. CoRR Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht
2019	J	`jnl`	The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. CoRR Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht
2018	J	`jnl`	Diverse M-Best Solutions by Dynamic Programming. CoRR Carsten Haubold, Virginie Uhlmann, Michael Unser, Fred A. Hamprecht
2018	J	`jnl`	DiversePathsJ: diverse shortest paths for bioimage analysis. Bioinform. Virginie Uhlmann, Carsten Haubold, Fred A. Hamprecht, Michael Unser
2018	—	`conf`	End-to-End Learning of Deterministic Decision Trees. GCPR Thomas M. Hehn, Fred A. Hamprecht
2018	A*	`conf`	Essentially No Barriers in Neural Network Energy Landscape. ICML Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht
2018	J	`jnl`	Essentially No Barriers in Neural Network Energy Landscape. CoRR Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht
2018	A*	`conf`	Learning Steerable Filters for Rotation Equivariant CNNs. CVPR Maurice Weiler, Fred A. Hamprecht, Martin Storath
2018	J	`jnl`	Neuron Segmentation With High-Level Biological Priors. IEEE Trans. Medical Imaging Nikola Krasowski, Thorsten Beier, Graham Knott, Ullrich Köthe, Fred A. Hamprecht, Anna Kreshuk
2018	J	`jnl`	On the Spectral Bias of Deep Neural Networks. CoRR Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville
2018	J	`jnl`	Sampling-Free Variational Inference of Bayesian Neural Nets. CoRR Melih Kandemir, Manuel Haußmann, Fred A. Hamprecht
2018	—	`conf`	The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. ECCV (4) Steffen Wolf, Constantin Pape, Alberto Bailoni, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht
2017	—	`conf`	Cost efficient gradient boosting. NIPS Sven Peter, Ferran Diego, Fred A. Hamprecht, Boaz Nadler
2017	—	`conf`	Diverse M-Best Solutions by Dynamic Programming. GCPR Carsten Haubold, Virginie Uhlmann, Michael Unser, Fred A. Hamprecht
2017	J	`jnl`	End-to-end Learning of Deterministic Decision Trees. CoRR Thomas Hehn, Fred A. Hamprecht
2017	A*	`conf`	Learned Watershed: End-to-End Learning of Seeded Segmentation. ICCV Steffen Wolf, Lukas Schott, Ullrich Köthe, Fred A. Hamprecht
2017	J	`jnl`	Learned Watershed: End-to-End Learning of Seeded Segmentation. CoRR Steffen Wolf, Lukas Schott, Ullrich Köthe, Fred A. Hamprecht
2017	J	`jnl`	Learning Steerable Filters for Rotation Equivariant CNNs. CoRR Maurice Weiler, Fred A. Hamprecht, Martin Storath
2017	—	`conf`	Sparse convolutional coding for neuronal assembly detection. NIPS Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht
2017	A*	`conf`	Variational Bayesian Multiple Instance Learning with Gaussian Processes. CVPR Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir
2016	—	`conf`	A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets. ECCV (7) Carsten Haubold, Janez Ales, Steffen Wolf, Fred A. Hamprecht
2016	—	`conf`	An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem. ECCV (2) Thorsten Beier, Björn Andres, Ullrich Köthe, Fred A. Hamprecht
2016	—	`conf`	Gaussian Process Density Counting from Weak Supervision. ECCV (1) Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht
2016	—	`conf`	Learning Diverse Models: The Coulomb Structured Support Vector Machine. ECCV (3) Martin Schiegg, Ferran Diego, Fred A. Hamprecht
2016	A*	`conf`	Structured Regression Gradient Boosting. CVPR Ferran Diego, Fred A. Hamprecht
2016	A	`conf`	Variational Weakly Supervised Gaussian Processes. BMVC Melih Kandemir, Manuel Haußmann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht
2015	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
2015	—	`conf`	Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations. MICCAI (3) Melih Kandemir, Christian Wojek, Fred A. Hamprecht
2015	J	`jnl`	Computer-aided diagnosis from weak supervision: A benchmarking study. Comput. Medical Imaging Graph. Melih Kandemir, Fred A. Hamprecht
2015	A*	`conf`	Fusion moves for correlation clustering. CVPR Thorsten Beier, Fred A. Hamprecht, Jörg H. Kappes
2015	J	`jnl`	Graphical model for joint segmentation and tracking of multiple dividing cells. Bioinform. Martin Schiegg, Philipp Hanslovsky, Carsten Haubold, Ullrich Köthe, Lars Hufnagel, Fred A. Hamprecht
2015	—	`conf`	Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors. ISBI Nikola Krasowski, Thorsten Beier, Graham W. Knott, Ullrich Köthe, Fred A. Hamprecht, Anna Kreshuk
2015	—	`conf`	Learning to Segment: Training Hierarchical Segmentation under a Topological Loss. MICCAI (3) Jan Funke, Fred A. Hamprecht, Chong Zhang
2015	—	`conf`	Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models. ISBI Martin Schiegg, Ben Heuer, Carsten Haubold, Steffen Wolf, Ullrich Köthe, Fred A. Hamprecht
2015	—	`conf`	The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors. FE@NIPS Melih Kandemir, Fred A. Hamprecht
2015	—	`conf`	Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain. MICCAI (1) Anna Kreshuk, Jan Funke, Albert Cardona, Fred A. Hamprecht
2014	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother
2014	J	`jnl`	Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability. IEEE Trans. Medical Imaging Xinghua Lou, Martin Schiegg, Fred A. Hamprecht
2014	—	`conf`	Asymmetric Cuts: Joint Image Labeling and Partitioning. GCPR Thorben Kröger, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht
2014	—	`conf`	Automated cell nucleus detection for large-volume electron microscopy of neural tissue. ISBI Faik Boray Tek, Thorben Kröger, Shawn Mikula, Fred A. Hamprecht
2014	—	`conf`	Cell Detection and Segmentation Using Correlation Clustering. MICCAI (1) Chong Zhang, Julian Yarkony, Fred A. Hamprecht
2014	A*	`conf`	Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. CVPR Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht
2014	—	`conf`	Digital pathology: Multiple instance learning can detect Barrett's cancer. ISBI Melih Kandemir, Annette Feuchtinger, Axel Walch, Fred A. Hamprecht
2014	—	`conf`	Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs. MICCAI (2) Melih Kandemir, Chong Zhang, Fred A. Hamprecht
2014	—	`conf`	Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. MICCAI (2) Melih Kandemir, José C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Björn Ommer, Fred A. Hamprecht
2014	A	`conf`	Instance Label Prediction by Dirichlet Process Multiple Instance Learning. UAI Melih Kandemir, Fred A. Hamprecht
2014	B	`conf`	Multiple Instance Learning with Response-Optimized Random Forests. ICPR Christoph N. Straehle, Melih Kandemir, Ullrich Köthe, Fred A. Hamprecht
2014	—	`conf`	Parallel Multicut Segmentation via Dual Decomposition. NFMCP Julian Yarkony, Thorsten Beier, Pierre Baldi, Fred A. Hamprecht
2014	—	`conf`	Semi-Global Matching: A Principled Derivation in Terms of Message Passing. GCPR Amnon Drory, Carsten Haubold, Shai Avidan, Fred A. Hamprecht
2014	—	`conf`	Sparse Space-Time Deconvolution for Calcium Image Analysis. NIPS Ferran Diego Andilla, Fred A. Hamprecht
2014	A*	`conf`	Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning. CVPR Luca Fiaschi, Ferran Diego Andilla, Konstantin Gregor, Martin Schiegg, Ullrich Köthe, Marta Zlatic, Fred A. Hamprecht
2014	—	`conf`	Yeast cell detection and segmentation in bright field microscopy. ISBI Chong Zhang, Florian Huber, Michael Knop, Fred A. Hamprecht
2013	A*	`conf`	A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother
2013	—	`conf`	Automated identification of neuronal activity from calcium imaging by sparse dictionary learning. ISBI Ferran Diego Andilla, Susanne Reichinnek, Martin Both, Fred A. Hamprecht
2013	A*	`conf`	Conservation Tracking. ICCV Martin Schiegg, Philipp Hanslovsky, Bernhard X. Kausler, Lars Hufnagel, Fred A. Hamprecht
2013	J	`jnl`	Image-based supervision of a periodically working machine. Pattern Anal. Appl. Mario Frank, Fred A. Hamprecht
2013	—	`conf`	K-Smallest Spanning Tree Segmentations. GCPR Christoph N. Straehle, Sven Peter, Ullrich Köthe, Fred A. Hamprecht
2013	—	`conf`	Keeping count: Leveraging temporal context to count heavily overlapping objects. ISBI Luca Fiaschi, Gregor Konstantin, Bruno Afonso, Marta Zlatic, Fred A. Hamprecht
2013	—	`conf`	Learning Multi-level Sparse Representations. NIPS Ferran Diego Andilla, Fred A. Hamprecht
2013	—	`conf`	Learning to Segment Neurons with Non-local Quality Measures. MICCAI (2) Thorben Kröger, Shawn Mikula, Winfried Denk, Ullrich Köthe, Fred A. Hamprecht
2013	A*	`conf`	Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria. ICCV Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht
2012	J	`jnl`	3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries. Medical Image Anal. Björn Andres, Ullrich Köthe, Thorben Kröger, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht
2012	—	`conf`	A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. ECCV (3) Bernhard X. Kausler, Martin Schiegg, Björn Andres, Martin S. Lindner, Ullrich Köthe, Heike Leitte, Jochen Wittbrodt, Lars Hufnagel, Fred A. Hamprecht
2012	J	`jnl`	Active Learning with Distributional Estimates CoRR Jens Röder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht
2012	A	`conf`	Active Learning with Distributional Estimates. UAI Jens Röder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht
2012	A*	`conf`	Efficient automatic 3D-reconstruction of branching neurons from EM data. CVPR Jan Funke, Björn Andres, Fred A. Hamprecht, Albert Cardona, Matthew Cook
2012	—	`conf`	Globally Optimal Closed-Surface Segmentation for Connectomics. ECCV (3) Björn Andres, Thorben Kröger, Kevin L. Briggman, Winfried Denk, Natalya Korogod, Graham Knott, Ullrich Köthe, Fred A. Hamprecht
2012	B	`conf`	Learning to count with regression forest and structured labels. ICPR Luca Fiaschi, Ullrich Köthe, Rahul Nair, Fred A. Hamprecht
2012	A*	`conf`	Learning to segment dense cell nuclei with shape prior. CVPR Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt, Fred A. Hamprecht
2012	B	`conf`	Learning-based mitotic cell detection in histopathological images. ICPR Christoph Sommer, Luca Fiaschi, Fred A. Hamprecht, Daniel Gerlich
2012	—	`conf`	Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MLMI Xinghua Lou, Luca Fiaschi, Ullrich Köthe, Fred A. Hamprecht
2012	A*	`conf`	Seeded watershed cut uncertainty estimators for guided interactive segmentation. CVPR Christoph N. Straehle, Ullrich Köthe, Graham Knott, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht
2012	A*	`conf`	Structured Learning from Partial Annotations. ICML Xinghua Lou, Fred A. Hamprecht
2012	—	`conf`	The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. ECCV (7) Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht
2011	—	`conf`	A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface. VMV Sven Wanner, Christoph Sommer, Roland Rocholz, Michael Jung, Fred A. Hamprecht, Bernd Jähne
2011	J	`jnl`	An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements. Comput. Sci. Res. Dev. Frederik O. Kaster, Bernd Merkel, Oliver Nix, Fred A. Hamprecht
2011	—	`conf`	Automated segmentation of synapses in 3D EM data. ISBI Anna Kreshuk, Christoph N. Straehle, Christoph Sommer, Ullrich Köthe, Graham Knott, Fred A. Hamprecht
2011	—	`conf`	Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images. MICCAI (1) Christoph N. Straehle, Ullrich Köthe, Graham Knott, Fred A. Hamprecht
2011	—	`conf`	Deltr: Digital embryo lineage tree reconstructor. ISBI Xinghua Lou, Frederik O. Kaster, Martin S. Lindner, Bernhard X. Kausler, Ullrich Köthe, Burkhard Hockendorf, Jochen Wittbrodt, Heike Jänicke, Fred A. Hamprecht
2011	—	`conf`	Ilastik: Interactive learning and segmentation toolkit. ISBI Christoph Sommer, Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht
2011	J	`jnl`	Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes CoRR Jan Funke, Björn Andres, Fred A. Hamprecht, Albert Cardona, Matthew Cook
2011	—	`conf`	On Oblique Random Forests. ECML/PKDD (2) Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht
2011	A*	`conf`	Probabilistic image segmentation with closedness constraints. ICCV Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht
2011	J	`jnl`	SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists. Bioinform. Björn Voss, Michael Hanselmann, Bernhard Y. Renard, Martin S. Lindner, Ullrich Köthe, Marc Kirchner, Fred A. Hamprecht
2011	—	`conf`	Structured Learning for Cell Tracking. NIPS Xinghua Lou, Fred A. Hamprecht
2010	—	`conf`	An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. DAGM-Symposium Björn Andres, Jörg H. Kappes, Ullrich Köthe, Christoph Schnörr, Fred A. Hamprecht
2010	—	`conf`	An Object-oriented Library for Systematic Training and Comparison of Classifiers for Computer-assisted Tumor Diagnosis from MRSI Measurements. Bildverarbeitung für die Medizin Frederik O. Kaster, Stephan Kassemeyer, Bernd Merkel, Oliver Nix, Fred A. Hamprecht
2010	—	`conf`	Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations. MCV Frederik O. Kaster, Bjoern H. Menze, Marc-André Weber, Fred A. Hamprecht
2010	J	`jnl`	Computational protein profile similarity screening for quantitative mass spectrometry experiments. Bioinform. Marc Kirchner, Bernhard Y. Renard, Ullrich Köthe, Darryl J. Pappin, Fred A. Hamprecht, Hanno Steen, Judith A. J. Steen
2010	J	`jnl`	Deuteration distribution estimation with improved sequence coverage for HX/MS experiments. Bioinform. Xinghua Lou, Marc Kirchner, Bernhard Y. Renard, Ullrich Köthe, Sebastian Boppel, Christian Graf, Chung-Tien Lee, Judith A. J. Steen, Hanno Steen, Matthias P. Mayer, Fred A. Hamprecht
2010	—	`conf`	Geometric Analysis of 3D Electron Microscopy Data. WADGMM Ullrich Köthe, Björn Andres, Thorben Kröger, Fred A. Hamprecht
2010	J	`jnl`	How to Extract the Geometry and Topology from Very Large 3D Segmentations CoRR Björn Andres, Ullrich Köthe, Thorben Kröger, Fred A. Hamprecht
2010	J	`jnl`	Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x CoRR Björn Andres, Ullrich Köthe, Thorben Kröger, Fred A. Hamprecht
2010	J	`jnl`	The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search CoRR Björn Andres, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht
2009	J	`jnl`	A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. BMC Bioinform. Bjoern H. Menze, B. Michael Kelm, Ralf Masuch, Uwe Himmelreich, Peter Bachert, Wolfgang Petrich, Fred A. Hamprecht
2009	J	`jnl`	Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge. IEEE Trans. Medical Imaging B. Michael Kelm, Bjoern H. Menze, Oliver Nix, Christian M. Zechmann, Fred A. Hamprecht
2009	—	`conf`	Multivariate Watershed Segmentation of Compositional Data. DGCI Michael Hanselmann, Ullrich Köthe, Bernhard Y. Renard, Marc Kirchner, Ron M. A. Heeren, Fred A. Hamprecht
2009	J	`jnl`	Near optimum sampling design and an efficient algorithm for single tone frequency estimation. Digit. Signal Process. Stefan Trittler, Fred A. Hamprecht
2009	J	`jnl`	Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes. IEEE Trans. Ind. Electron. Mark Jäger, Fred A. Hamprecht
2009	—	`conf`	Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. DAGM-Symposium Björn Andres, Ullrich Köthe, Andreea Bonea, Boaz Nadler, Fred A. Hamprecht
2008	J	`jnl`	A theoretical and experimental investigation of the systematic errors and statistical uncertainties of Time-Of-Flight-cameras. Int. J. Intell. Syst. Technol. Appl. H. Rapp, Mario Frank, Fred A. Hamprecht, Bernd Jähne
2008	J	`jnl`	NITPICK: peak identification for mass spectrometry data. BMC Bioinform. Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Judith A. J. Steen, Fred A. Hamprecht
2008	A*	`conf`	On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. CVPR Björn Andres, Claudia Kondermann, Daniel Kondermann, Ullrich Köthe, Fred A. Hamprecht, Christoph S. Garbe
2008	—	`conf`	Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. DAGM-Symposium Björn Andres, Ullrich Köthe, Moritz Helmstaedter, Winfried Denk, Fred A. Hamprecht
2008	J	`jnl`	Sputter Tracking for the Automatic Monitoring of Industrial Laser-Welding Processes. IEEE Trans. Ind. Electron. Mark Jäger, Silke Humbert, Fred A. Hamprecht
2008	J	`jnl`	Weakly Supervised Learning of a Classifier for Unusual Event Detection. IEEE Trans. Image Process. Mark Jäger, Christian Knoll, Fred A. Hamprecht
2007	—	`ed.`	Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings DAGM-Symposium Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne
2007	—	`conf`	Selection of Local Optical Flow Models by Means of Residual Analysis. DAGM-Symposium Björn Andres, Fred A. Hamprecht, Christoph S. Garbe
2007	—	`conf`	Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields. DAGM-Symposium L. Görlitz, Bjoern H. Menze, Marc-André Weber, B. Michael Kelm, Fred A. Hamprecht
2006	—	`conf`	Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. CVPR Workshops B. Michael Kelm, Natalie Mueller, Bjoern H. Menze, Fred A. Hamprecht
2006	—	`conf`	CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods. Bildverarbeitung für die Medizin B. Michael Kelm, Bjoern H. Menze, Thomas Neff, Christian M. Zechmann, Fred A. Hamprecht
2006	—	`conf`	From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background. GfKl Bjoern H. Menze, B. Michael Kelm, Fred A. Hamprecht
2006	—	`conf`	Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images. Bildverarbeitung für die Medizin Bjoern H. Menze, B. Michael Kelm, Daniel Heck, Matthias Lichy, Fred A. Hamprecht
2005	J	`jnl`	Optimal lattices for sampling. IEEE Trans. Inf. Theory Hans R. Künsch, Erik Agrell, Fred A. Hamprecht
2004	—	`conf`	Classification of In Vivo Magnetic Resonance Spectra. GfKl Bjoern H. Menze, Michael Wormit, Peter Bachert, Matthias Lichy, Heinz-Peter Schlemmer, Fred A. Hamprecht
2004	—	`conf`	Two-stage Classification with Automatic Feature Selection for an Industrial Application. GfKl Sören Hader, Fred A. Hamprecht
2002	—	`conf`	A New Approach for Defect Detection in X-ray CT Images. DAGM-Symposium Heiko Eisele, Fred A. Hamprecht
2002	J	`jnl`	Chemical Library Subset Selection Algorithms: A Unified Derivation Using Spatial Statistics. J. Chem. Inf. Comput. Sci. Fred A. Hamprecht, Walter Thiel, Wilfred F. van Gunsteren
1998	J	`jnl`	Theoretical investigations of NMR chemical shifts and reactivities of oxovanadium(v) compounds. J. Comput. Chem. Michael Bühl, Fred A. Hamprecht