Exploiting Cyclic Symmetry in Convolutional Neural Networks. - Sander Dieleman; Jeffrey De Fauw; Koray Kavukcuoglu (ICML, 2016)

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. - Carlton Chu; Jeffrey De Fauw; Nenad Tomasev; Bernardino Romera-Paredes; Cían Hughes; Joseph R. Ledsam; Trevor Back; Hugh Montgomery; Geraint Rees 001; Rosalind Raine; Kevin Sullivan; Syed Ali Moinuddin; et al. (F1000Research, 2016)

Automated analysis of retinal imaging using machine learning techniques for computer vision. - Jeffrey De Fauw; Pearse A. Keane; Nenad Tomasev; Daniel Visentin; George van den Driessche 002; Mike Johnson; Cían Hughes; Carlton Chu; Joseph R. Ledsam; Trevor Back; Tunde Peto; Geraint Rees 001; et al. (F1000Research, 2016)

A Probabilistic U-Net for Segmentation of Ambiguous Images. - Simon 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 (NeurIPS, 2018)

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. - 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; et al. (CoRR, 2018)

Hierarchical Autoregressive Image Models with Auxiliary Decoders. - Jeffrey De Fauw; Sander Dieleman; Karen Simonyan (CoRR, 2019)

Data-Efficient Image Recognition with Contrastive Predictive Coding. - Olivier J. Hénaff; Aravind Srinivas; Jeffrey De Fauw; Ali Razavi; Carl Doersch; S. M. Ali Eslami; Aäron van den Oord (CoRR, 2019)

Self-Supervised MultiModal Versatile Networks. - Jean-Baptiste Alayrac; Adrià Recasens; Rosalia Schneider; Relja Arandjelovic; Jason Ramapuram; Jeffrey De Fauw; Lucas Smaira; Sander Dieleman; Andrew Zisserman (NeurIPS, 2020)