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Klaus Maier-Hein

*: shared first/last authors

Common Limitations of Image Processing Metrics: A Picture Story

Apr 12, 2021
Annika Reinke, Matthias Eisenmann, Minu D. Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Bjoern Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein

* This is a dynamic paper on limitations of commonly used metrics. The current version discusses segmentation metrics only, while future versions will also include metrics for classification and detection. For missing use cases, comments or questions, please contact [email protected] or [email protected]. Substantial contributions to this document will be acknowledged with a co-authorship 

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Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks

Dec 15, 2020
Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus Maier-Hein, Ulrich Köthe, Carsten Rother, Lena Maier-Hein

* The paper got accepted at Medical Imaging Meets NeurIPS Workshop at Neural Information Processing Systems 2020 

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Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI

Nov 15, 2020
Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus Maier-Hein

* 12 pages, 3 Figures, Contribution to the STACOM Workshop at MICCAI 2020 

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The Future of Digital Health with Federated Learning

Mar 18, 2020
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

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High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection

Nov 27, 2019
David Zimmerer, Jens Petersen, Klaus Maier-Hein

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Unsupervised Anomaly Localization using Variational Auto-Encoders

Jul 11, 2019
David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus Maier-Hein

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

Jun 06, 2018
Lena Maier-Hein*, Matthias Eisenmann*, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin*, Annette Kopp-Schneider*

* 48 pages, under review in Nature Methods 

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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Jan 31, 2018
Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus Maier-Hein, Lena Maier-Hein

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Adversarial Networks for Prostate Cancer Detection

Nov 28, 2017
Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus Maier-Hein

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Adversarial Networks for the Detection of Aggressive Prostate Cancer

Feb 26, 2017
Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus Maier-Hein

* 8 pages, 3 figures; under review as a conference paper at MICCAI 2017 

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