F. Hamprecht

Most-cited papers

ilastik: interactive machine learning for (bio)image analysis
S. Berg, D. Kutra, Thorben Kroeger, C. Straehle +15 more
2019Nature Methods3,103 citations Open access
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On the Spectral Bias of Neural Networks
Nasim Rahaman, A. Baratin, Devansh Arpit, Felix Dräxler +4 more
2018International Conference on Machine Learning2,823 citations
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Essentially No Barriers in Neural Network Energy Landscape
Felix Draxler, K. Veschgini, M. Salmhofer, F. Hamprecht
2018International Conference on Machine Learning592 citations
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An Objective Comparison of Cell Tracking Algorithms
V. Ulman, Martin Maška, Klas E. G. Magnusson, O. Ronneberger +35 more
2017Nature Methods559 citations Open access
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Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler, F. Hamprecht, Martin Storath
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition458 citations
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Accurate and versatile 3D segmentation of plant tissues at cellular resolution
A. Wolny, Lorenzo Cerrone, Athul Vijayan, Rachele Tofanelli +17 more
2020bioRxiv274 citations Open access
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A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Björn Andres, F. Hamprecht, C. Schnörr +9 more
2014International Journal of Computer Vision191 citations Open access
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Multicut brings automated neurite segmentation closer to human performance
T. Beier, Constantin Pape, Nasim Rahaman, Timo Prange +9 more
2017Nature Methods170 citations Open access
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Imagining the future of bioimage analysis
E. Meijering, Anne E Carpenter, Hanchuan Peng, F. Hamprecht +1 more
2016Nature Biotechnology170 citations
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Computer-aided diagnosis from weak supervision: A benchmarking study
Melih Kandemir, F. Hamprecht
2015Comput. Medical Imaging Graph.124 citations
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Three‐dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues
C. Calí, Jumana Baghabra, Daniya Boges, Glendon Holst +5 more
2015The Journal of comparative neurology99 citations Open access
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Truth is Universal: Robust Detection of Lies in LLMs
Lennart Bürger, F. Hamprecht, Boaz Nadler
2024Neural Information Processing Systems97 citations
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Seipin forms a flexible cage at lipid droplet formation sites
H. Arlt, X. Sui, Brayden Folger, Carson Adams +8 more
2021Nature Structural & Molecular Biology91 citations Open access
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Graphical model for joint segmentation and tracking of multiple dividing cells
Martin Schiegg, Philipp Hanslovsky, Carsten Haubold, U. Köthe +2 more
2015Bioinform.85 citations Open access
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On the Spectral Bias of Deep Neural Networks
Nasim Rahaman, Devansh Arpit, A. Baratin, Felix Dräxler +4 more
2018arXiv.org82 citations
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End-to-End Learning of Decision Trees and Forests
Thomas M. Hehn, Julian F. P. Kooij, F. Hamprecht
2019International Journal of Computer Vision68 citations Open access
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Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs
Melih Kandemir, Chong Zhang, F. Hamprecht
2014International Conference on Medical Image Computing and Computer-Assisted Intervention66 citations
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Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla, F. Hamprecht
2014Neural Information Processing Systems63 citations
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On UMAP's True Loss Function
Sebastian Damrich, F. Hamprecht
2021Neural Information Processing Systems58 citations
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The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
Steffen Wolf, Constantin Pape, Alberto Bailoni, Nasim Rahaman +3 more
2018European Conference on Computer Vision58 citations
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Cost efficient gradient boosting
S. Peter, F. Diego, F. Hamprecht, Boaz Nadler
2017Neural Information Processing Systems57 citations
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Semi-Global Matching: A Principled Derivation in Terms of Message Passing
Amnon Drory, Carsten Haubold, S. Avidan, F. Hamprecht
2014German Conference on Pattern Recognition55 citations
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A digital 3D reference atlas reveals cellular growth patterns shaping the Arabidopsis ovule
Athul Vijayan, Rachele Tofanelli, S. Strauss, Lorenzo Cerrone +6 more
2020bioRxiv54 citations Open access
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Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation
R. Lindner, Xinghua Lou, J. Reinstein, R. Shoeman +2 more
2014Journal of the American Society for Mass Spectrometry50 citations Open access
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Segmenting and Tracking Multiple Dividing Targets Using ilastik.
Carsten Haubold, Martin Schiegg, A. Kreshuk, S. Berg +2 more
2016Advances in Anatomy, Embryology and Cell Biology48 citations
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Fusion moves for correlation clustering
T. Beier, F. Hamprecht, Jörg H. Kappes
2015Computer Vision and Pattern Recognition44 citations
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From $t$-SNE to UMAP with contrastive learning
Sebastian Damrich, Jan Boehm, F. Hamprecht, D. Kobak
2022International Conference on Learning Representations43 citations
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Deep Active Learning with Adaptive Acquisition
Manuel Haussmann, F. Hamprecht, Melih Kandemir
2019International Joint Conference on Artificial Intelligence43 citations Open access
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Gaussian Process Density Counting from Weak Supervision
Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao +2 more
2016European Conference on Computer Vision43 citations Open access
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An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem
T. Beier, Björn Andres, U. Köthe, F. Hamprecht
2016European Conference on Computer Vision42 citations Open access
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Learned Watershed: End-to-End Learning of Seeded Segmentation
Steffen Wolf, Lukas Schott, U. Köthe, F. Hamprecht
2017IEEE International Conference on Computer Vision39 citations Open access
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The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman +3 more
2020IEEE Transactions on Pattern Analysis and Machine Intelligence38 citations Open access
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Microscopy‐based assay for semi‐quantitative detection of SARS‐CoV‐2 specific antibodies in human sera
Constantin Pape, Roman Remme, A. Wolny, Sylvia Olberg +23 more
2020bioRxiv34 citations Open access
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Neuron Segmentation With High-Level Biological Priors
N. Krasowski, T. Beier, G. Knott, U. Köthe +2 more
2018IEEE Transactions on Medical Imaging33 citations Open access
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Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
Manuel Haussmann, F. Hamprecht, Melih Kandemir
2018Conference on Uncertainty in Artificial Intelligence33 citations
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Geometric Autoencoders - What You See is What You Decode
Philipp Nazari, Sebastian Damrich, F. Hamprecht
2023International Conference on Machine Learning28 citations Open access
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Variational Bayesian Multiple Instance Learning with Gaussian Processes
Manuel Haussmann, F. Hamprecht, Melih Kandemir
2017Computer Vision and Pattern Recognition28 citations
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Learning to Segment: Training Hierarchical Segmentation under a Topological Loss
Jan Funke, F. Hamprecht, Chong Zhang
2015International Conference on Medical Image Computing and Computer-Assisted Intervention26 citations Open access
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A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation
Alberto Bailoni, Constantin Pape, Steffen Wolf, T. Beier +2 more
2019arXiv.org24 citations
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End-To-End Learned Random Walker for Seeded Image Segmentation
Lorenzo Cerrone, Alexander Zeilmann, F. Hamprecht
2019Computer Vision and Pattern Recognition24 citations
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Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability
Xinghua Lou, Martin Schiegg, F. Hamprecht
2014IEEE Transactions on Medical Imaging24 citations
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GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation
Alberto Bailoni, Constantin Pape, Nathan Hütsch, Steffen Wolf +3 more
2019Computer Vision and Pattern Recognition23 citations Open access
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Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues.
C. Calí, Jumana Baghabra, Daniya Boges, Glendon Holst +5 more
2016The Journal of comparative neurology23 citations Open access
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DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging
E. Kirschbaum, Alberto Bailoni, F. Hamprecht
2019International Conference on Medical Image Computing and Computer-Assisted Intervention22 citations Open access
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Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain
A. Kreshuk, Jan Funke, Albert Cardona, F. Hamprecht
2015International Conference on Medical Image Computing and Computer-Assisted Intervention22 citations Open access
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A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context
Athul Vijayan, T. Mody, Qin Yu, A. Wolny +7 more
2024bioRxiv21 citations Open access
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Virtual Raters for Reproducible and Objective Assessments in Radiology
Jens Kleesiek, J. Petersen, M. Döring, Klaus Hermann Maier-Hein +5 more
2016Scientific Reports21 citations Open access
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KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory
Roman Remme, Tobias Kaczun, Maximilian Scheurer, A. Dreuw +1 more
2023Journal of Chemical Physics20 citations Open access
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Multistar: Instance Segmentation Of Overlapping Objects With Star-Convex Polygons
Florin C. Walter, Sebastian Damrich, F. Hamprecht
2020IEEE International Symposium on Biomedical Imaging19 citations Open access
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Sparse convolutional coding for neuronal assembly detection
S. Peter, E. Kirschbaum, M. Both, Lee K. Campbell +5 more
2017Neural Information Processing Systems18 citations
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