Jeffrey De Fauw
Jeffrey De Fauw
DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 2015
289*2015
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342, 2018
2552018
Exploiting cyclic symmetry in convolutional neural networks
S Dieleman, J De Fauw, K Kavukcuoglu
arXiv preprint arXiv:1602.02660, 2016
1312016
A probabilistic u-net for segmentation of ambiguous images
S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in Neural Information Processing Systems, 6965-6975, 2018
432018
Automated analysis of retinal imaging using machine learning techniques for computer vision
J De Fauw, P Keane, N Tomasev, D Visentin, G van den Driessche, ...
F1000Research 5, 2016
272016
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
S Nikolov, S Blackwell, R Mendes, J De Fauw, C Meyer, C Hughes, ...
arXiv preprint arXiv:1809.04430, 2018
212018
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans
C Chu, J De Fauw, N Tomasev, BR Paredes, C Hughes, J Ledsam, ...
F1000Research 5, 2016
142016
Lasagne: First release.(Aug. 2015)
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sĝnderby, D Nouri, ...
URL http://dx. doi. org/10.5281/zenodo 27878, 147, 2015
132015
Hierarchical autoregressive image models with auxiliary decoders
J De Fauw, S Dieleman, K Simonyan
arXiv preprint arXiv:1903.04933, 2019
62019
Generalizable medical image analysis using segmentation and classification neural networks
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
US Patent 10,198,832, 2019
32019
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