Jeffrey De Fauw - researchr alias

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Viewing Publication 1 - 5 from 5

2020

Self-Supervised MultiModal Versatile NetworksJean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman. nips 2020: [doi]

2018

A Probabilistic U-Net for Segmentation of Ambiguous ImagesSimon 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. nips 2018: 6965-6975 [doi]

2016

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scansCarlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees 0001, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise. f1000research, 5:2104, 2016. [doi]

Exploiting Cyclic Symmetry in Convolutional Neural NetworksSander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu. icml 2016: 1889-1898 [doi]

Automated analysis of retinal imaging using machine learning techniques for computer visionJeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche 0002, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees 0001, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise. f1000research, 5:1573, 2016. [doi]

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