Steffen Wolf
Cited by
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An objective comparison of cell-tracking algorithms
V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ...
Nature methods 14 (12), 1141-1152, 2017
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
S Wolf, C Pape, A Bailoni, N Rahaman, A Kreshuk, U Kothe, ...
Proceedings of the European Conference on Computer Vision (ECCV), 546-562, 2018
Learned Watershed: End-to-End Learning of Seeded Segmentation
S Wolf, L Schott, U Köthe, F Hamprecht
International Conference on Computer Vision: ICCV 2017, 2017
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning
S Wolf, A Bailoni, C Pape, N Rahaman, A Kreshuk, U Köthe, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
A generalized successive shortest paths solver for tracking dividing targets
C Haubold, J Aleš, S Wolf, FA Hamprecht
European Conference on Computer Vision, 566-582, 2016
Tracking objects with higher order interactions via delayed column generation
S Wang, S Wolf, C Fowlkes, J Yarkony
Artificial Intelligence and Statistics, 1132-1140, 2017
A generalized framework for agglomerative clustering of signed graphs applied to instance segmentation
A Bailoni, C Pape, S Wolf, T Beier, A Kreshuk, FA Hamprecht
arXiv preprint arXiv:1906.11713, 2019
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
E Kirschbaum, M Haußmann, S Wolf, H Sonntag, J Schneider, S Elzoheiry, ...
arXiv preprint arXiv:1806.09963, 2018
Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models
M Schiegg, B Heuer, C Haubold, S Wolf, U Koethe, FA Hamprecht
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 394-398, 2015
Instance Separation Emerges from Inpainting
S Wolf, FA Hamprecht, J Funke
arXiv preprint arXiv:2003.00891, 2020
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation
S Wolf, Y Li, C Pape, A Bailoni, A Kreshuk, FA Hamprecht
arXiv preprint arXiv:1912.12717, 2019
Learning the Arrow of Time
N Rahaman, S Wolf, A Goyal, R Remme, Y Bengio
arXiv preprint arXiv:1907.01285, 2019
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
A Bailoni, C Pape, S Wolf, A Kreshuk, FA Hamprecht
arXiv preprint arXiv:2009.04998, 2020
Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera
C Pape, R Remme, A Wolny, S Olberg, S Wolf, L Cerrone, M Cortese, ...
bioRxiv, 2020
Machine Learning for Instance Segmentation
S Wolf
Learning the Arrow of Time for Problems in Reinforcement Learning
N Rahaman, S Wolf, A Goyal, R Remme, Y Bengio
International Conference on Learning Representations, 2019
Inpainting Networks Learn to Separate Cells in Microscopy Images
S Wolf, FA Hamprecht, J Funke, H Janelia, VA Ashburn
C Haubold, M Schiegg, D Stöckel, S Wolf, FA Hamprecht
A GAN framework for Instance Segmentation using the Mutex Watershed Algorithm
M Vikram, S Wolf
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