Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. - Fabian Isensee; Paul F. Jaeger; Peter M. Full; Ivo Wolf; Sandy Engelhardt; Klaus H. Maier-Hein (STACOM@MICCAI, 2017)

How to Exploit Weaknesses in Biomedical Challenge Design and Organization. - Annika Reinke; Matthias Eisenmann; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Peter M. Full; Hrvoje Bogunovic; Bennett A. Landman; Oskar Maier; Bjoern H. Menze; Gregory C. Sharp; Korsuk Sirinukunwattana; et al. (MICCAI (4), 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Peter M. Full (Zenodo, 2018)

Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries. - Sandy Engelhardt; Raffaele De Simone; Peter M. Full; Matthias Karck; Ivo Wolf (Bildverarbeitung für die Medizin, 2019)

nnU-Net for Brain Tumor Segmentation. - Fabian Isensee; Paul F. Jäger; Peter M. Full; Philipp Vollmuth; Klaus H. Maier-Hein (BrainLes@MICCAI (2), 2020)

Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. - Peter M. Full; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room. - Lena Maier-Hein; Martin Wagner 001; Tobias Roß; Annika Reinke; Sebastian Bodenstedt; Peter M. Full; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Anna Kisilenko; et al. (CoRR, 2020)

Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI. - Peter M. Full; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2021)

How can we learn (more) from challenges? A statistical approach to driving future algorithm development. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Sara Moccia; Francesco Calimeri; et al. (CoRR, 2021)

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Accurate Detection of Mediastinal Lesions with nnDetection. - Michael Baumgartner 001; Peter M. Full; Klaus H. Maier-Hein (CuRIOUS/KiPA/MELA@MICCAI, 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Beyond rankings: Learning (more) from algorithm validation. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Tim J. Adler; Thuy Nuong Tran; et al. (Medical Image Anal., 2023)