Adversarial Networks for the Detection of Aggressive Prostate Cancer. - Simon Kohl; David Bonekamp; Heinz-Peter Schlemmer; Kaneschka Yaqubi; Markus Hohenfellner; Boris Hadaschik; Jan-Philipp Radtke; Klaus H. Maier-Hein (CoRR, 2017)

Adversarial Networks for Prostate Cancer Detection. - Simon Kohl; David Bonekamp; Heinz-Peter Schlemmer; Kaneschka Yaqubi; Markus Hohenfellner; Boris Hadaschik; Jan-Philipp Radtke; Klaus H. Maier-Hein (CoRR, 2017)

A Probabilistic U-Net for Segmentation of Ambiguous Images. - Simon Kohl; Bernardino Romera-Paredes; Clemens Meyer; Jeffrey De Fauw; Joseph R. Ledsam; Klaus H. Maier-Hein; S. M. Ali Eslami; Danilo Jimenez Rezende; Olaf Ronneberger (NeurIPS, 2018)

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Fabian Isensee; Jens Petersen; André Klein; David Zimmerer; Paul F. Jaeger; Simon Kohl; Jakob Wasserthal; Gregor Köhler; Tobias Norajitra; Sebastian J. Wirkert; Klaus H. Maier-Hein (CoRR, 2018)

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. - David Zimmerer; Simon A. A. Kohl; Jens Petersen; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2018)

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Fabian Isensee; Jens Petersen; André Klein; David Zimmerer; Paul F. Jaeger; Simon Kohl; Jakob Wasserthal; Gregor Köhler; Tobias Norajitra; Sebastian J. Wirkert; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2019)

Deep Probabilistic Modeling of Glioma Growth. - Jens Petersen; Paul F. Jäger; Fabian Isensee; Simon A. A. Kohl; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Kickingereder; Klaus H. Maier-Hein (MICCAI (2), 2019)

Reg R-CNN: Lesion Detection and Grading Under Noisy Labels. - Gregor N. Ramien; Paul F. Jaeger; Simon A. A. Kohl; Klaus H. Maier-Hein (UNSURE/CLIP@MICCAI, 2019)

Unsupervised Anomaly Localization Using Variational Auto-Encoders. - David Zimmerer; Fabian Isensee; Jens Petersen; Simon Kohl; Klaus H. Maier-Hein (MICCAI (4), 2019)

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. - Paul F. Jaeger; Simon A. A. Kohl; Sebastian Bickelhaupt; Fabian Isensee; Tristan Anselm Kuder; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (ML4H@NeurIPS, 2019)

Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison. - Sarina Thomas; Fabian Isensee; Simon Kohl; Maxim Privalov; Nils Beisemann; Benedict Swartman; Holger Keil; Sven Yves Vetter; Jochen Franke; Paul Alfred Grützner; Lena Maier-Hein; Marco Nolden; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. - Fabian Isensee; Jens Petersen; Simon A. A. Kohl; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2019)

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. - Simon A. A. Kohl; Bernardino Romera-Paredes; Klaus H. Maier-Hein; Danilo Jimenez Rezende; S. M. Ali Eslami; Pushmeet Kohli; Andrew Zisserman; Olaf Ronneberger (CoRR, 2019)

A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. - David Zimmerer; Jens Petersen; Simon A. A. Kohl; Klaus H. Maier-Hein (CoRR, 2019)

Abstract: Deep Probabilistic Modeling of Glioma Growth. - Jens Petersen; Paul F. Jäger; Fabian Isensee; Simon A. A. Kohl; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Kickingereder; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2020)

Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. - David Zimmerer; Fabian Isensee; Jens Petersen; Simon Kohl; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2020)

Contrastive Training for Improved Out-of-Distribution Detection. - Jim Winkens; Rudy Bunel; Abhijit Guha Roy; Robert Stanforth; Vivek Natarajan; Joseph R. Ledsam; Patricia MacWilliams; Pushmeet Kohli; Alan Karthikesalingam; Simon Kohl; A. Taylan Cemgil; S. M. Ali Eslami; et al. (CoRR, 2020)

Semantic Segmentation of Ambiguous Images - Simon A. A. Kohl (2020)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. - Gregor Köhler; Tassilo Wald; Constantin Ulrich; David Zimmerer; Paul F. Jaeger; Jörg K. H. Franke; Simon Kohl; Fabian Isensee; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. - Gregor Köhler; Tassilo Wald; Constantin Ulrich; David Zimmerer; Paul F. Jaeger; Jörg K. H. Franke; Simon Kohl; Fabian Isensee; Klaus H. Maier-Hein (WACV, 2024)