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Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations


Aug 09, 2021
Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof

* Pre-print under Review. Submitted to Review on 15th April 2021 

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The Medical Segmentation Decathlon


Jun 10, 2021
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, AnnetteKopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Goli Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, Henkjan Huisman, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso


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Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection


May 28, 2020
Oliver Rippel, Patrick Mertens, Dorit Merhof

* First two authors contributed equally to this work 

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AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018


May 20, 2020
Oliver Rippel, Leon Weninger, Dorit Merhof


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Image-based Survival Analysis for Lung Cancer Patients using CNNs


Oct 08, 2018
Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof


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