Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models. - Martin Schiegg; Ben Heuer; Carsten Haubold; Steffen Wolf 001; Ullrich Köthe; Fred A. Hamprecht (ISBI, 2015)

A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets. - Carsten Haubold; Janez Ales; Steffen Wolf 001; Fred A. Hamprecht (ECCV (7), 2016)

Learned Watershed: End-to-End Learning of Seeded Segmentation. - Steffen Wolf 001; Lukas Schott; Ullrich Köthe; Fred A. Hamprecht (ICCV, 2017)

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. - Steffen Wolf 001; Constantin Pape; Alberto Bailoni; Nasim Rahaman; Anna Kreshuk; Ullrich Köthe; Fred A. Hamprecht (ECCV (4), 2018)

LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. - Elke Kirschbaum; Manuel Haußmann; Steffen Wolf 001; Hannah Sonntag; Justus Schneider; Shehabeldin Elzoheiry; Oliver Kann; Daniel Durstewitz; Fred A. Hamprecht (ICLR (Poster), 2019)

The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning. - Steffen Wolf 001; Alberto Bailoni; Constantin Pape; Nasim Rahaman; Anna Kreshuk; Ullrich Köthe; Fred A. Hamprecht (CoRR, 2019)

A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation. - Alberto Bailoni; Constantin Pape; Steffen Wolf 001; Thorsten Beier; Anna Kreshuk; Fred A. Hamprecht (CoRR, 2019)

Learning the Arrow of Time. - Nasim Rahaman; Steffen Wolf 001; Anirudh Goyal; Roman Remme; Yoshua Bengio (CoRR, 2019)

Inpainting Networks Learn to Separate Cells in Microscopy Images. - Steffen Wolf 001; Fred A. Hamprecht; Jan Funke (BMVC, 2020)

Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks. - Alberto Bailoni; Constantin Pape; Steffen Wolf 001; Anna Kreshuk; Fred A. Hamprecht (GCPR, 2020)

The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. - Steffen Wolf 001; Yuyan Li; Constantin Pape; Alberto Bailoni; Anna Kreshuk; Fred A. Hamprecht (ECCV (6), 2020)

Learning the Arrow of Time for Problems in Reinforcement Learning. - Nasim Rahaman; Steffen Wolf 001; Anirudh Goyal; Roman Remme; Yoshua Bengio (ICLR, 2020)

Instance Separation Emerges from Inpainting. - Steffen Wolf 001; Fred A. Hamprecht; Jan Funke (CoRR, 2020)

Machine Learning for Instance Segmentation. - Steffen Wolf 001 (2020)

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning. - Steffen Wolf 001; Alberto Bailoni; Constantin Pape; Nasim Rahaman; Anna Kreshuk; Ullrich Köthe; Fred A. Hamprecht (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. - Alberto Bailoni; Constantin Pape; Nathan Hütsch; Steffen Wolf 001; Thorsten Beier; Anna Kreshuk; Fred A. Hamprecht (CVPR, 2022)

Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images. - Steffen Wolf 001; Manan Lalit; Katie McDole; Jan Funke (ICCV, 2023)

Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images. - Steffen Wolf 001; Manan Lalit; Henry Westmacott; Katie McDole; Jan Funke (CoRR, 2023)