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Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs


Jun 26, 2021
Dan Rosenbaum , Marta Garnelo , Michal Zielinski , Charlie Beattie , Ellen Clancy , Andrea Huber , Pushmeet Kohli , Andrew W. Senior , John Jumper , Carl Doersch , S. M. Ali Eslami , Olaf Ronneberger , Jonas Adler


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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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Contrastive Training for Improved Out-of-Distribution Detection


Jul 10, 2020
Jim Winkens , Rudy Bunel , Abhijit Guha Roy , Robert Stanforth , Vivek Natarajan , Joseph R. Ledsam , Patricia MacWilliams , Pushmeet Kohli , Alan Karthikesalingam , Simon Kohl , Taylan Cemgil , S. M. Ali Eslami , Olaf Ronneberger


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A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities


May 30, 2019
Simon A. A. Kohl , Bernardino Romera-Paredes , Klaus H. Maier-Hein , Danilo Jimenez Rezende , S. M. Ali Eslami , Pushmeet Kohli , Andrew Zisserman , Olaf Ronneberger

* 25 pages, 15 figures 

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A large annotated medical image dataset for the development and evaluation of segmentation algorithms


Feb 25, 2019
Amber L. Simpson , Michela Antonelli , Spyridon Bakas , Michel Bilello , Keyvan Farahani , Bram van Ginneken , Annette Kopp-Schneider , Bennett A. Landman , Geert Litjens , Bjoern Menze , Olaf Ronneberger , Ronald M. Summers , Patrick Bilic , Patrick F. Christ , Richard K. G. Do , Marc Gollub , Jennifer Golia-Pernicka , Stephan H. Heckers , William R. Jarnagin , Maureen K. McHugo , Sandy Napel , Eugene Vorontsov , Lena Maier-Hein , M. Jorge Cardoso


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A Probabilistic U-Net for Segmentation of Ambiguous Images


Oct 29, 2018
Simon A. A. 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

* 11 pages for the main paper, 28 pages including appendix. 5 figures in the main paper, 18 figures in total, Advances in Neural Information Processing Systems (NIPS), 2018 

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Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy


Sep 12, 2018
Stanislav Nikolov , Sam Blackwell , Ruheena Mendes , Jeffrey De Fauw , Clemens Meyer , Cían Hughes , Harry Askham , Bernardino Romera-Paredes , Alan Karthikesalingam , Carlton Chu , Dawn Carnell , Cheng Boon , Derek D'Souza , Syed Ali Moinuddin , Kevin Sullivan , DeepMind Radiographer Consortium , Hugh Montgomery , Geraint Rees , Ricky Sharma , Mustafa Suleyman , Trevor Back , Joseph R. Ledsam , Olaf Ronneberger


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Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest


Sep 01, 2016
Korsuk Sirinukunwattana , Josien P. W. Pluim , Hao Chen , Xiaojuan Qi , Pheng-Ann Heng , Yun Bo Guo , Li Yang Wang , Bogdan J. Matuszewski , Elia Bruni , Urko Sanchez , Anton Böhm , Olaf Ronneberger , Bassem Ben Cheikh , Daniel Racoceanu , Philipp Kainz , Michael Pfeiffer , Martin Urschler , David R. J. Snead , Nasir M. Rajpoot


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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation


Jun 21, 2016
Özgün Çiçek , Ahmed Abdulkadir , Soeren S. Lienkamp , Thomas Brox , Olaf Ronneberger

* Conditionally accepted for MICCAI 2016 

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U-Net: Convolutional Networks for Biomedical Image Segmentation


May 18, 2015
Olaf Ronneberger , Philipp Fischer , Thomas Brox

* conditionally accepted at MICCAI 2015 

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