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Jeffrey De Fauw

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Self-Supervised MultiModal Versatile Networks

Jun 29, 2020
Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman

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Hierarchical Autoregressive Image Models with Auxiliary Decoders

Mar 06, 2019
Jeffrey De Fauw, Sander Dieleman, Karen Simonyan

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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

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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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Exploiting Cyclic Symmetry in Convolutional Neural Networks

May 26, 2016
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu

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