Jim Winkens
Jim Winkens
Verified email at google.com
Title
Cited by
Cited by
Year
Rotation equivariant cnns for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
International Conference on Medical image computing and computer-assisted …, 2018
1532018
Predicting conversion to wet age-related macular degeneration using deep learning
J Yim, R Chopra, T Spitz, J Winkens, A Obika, C Kelly, H Askham, M Lukic, ...
Nature Medicine 26 (6), 892-899, 2020
502020
Contrastive training for improved out-of-distribution detection
J Winkens, R Bunel, AG Roy, R Stanforth, V Natarajan, JR Ledsam, ...
arXiv preprint arXiv:2007.05566, 2020
342020
Sample efficient semantic segmentation using rotation equivariant convolutional networks
J Linmans, J Winkens, BS Veeling, TS Cohen, M Welling
arXiv preprint arXiv:1807.00583, 2018
132018
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
112018
Supervised transfer learning at scale for medical imaging
B Mustafa, A Loh, J Freyberg, P MacWilliams, M Wilson, SM McKinney, ...
arXiv preprint arXiv:2101.05913, 2021
52021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
AG Roy, J Ren, S Azizi, A Loh, V Natarajan, B Mustafa, N Pawlowski, ...
arXiv preprint arXiv:2104.03829, 2021
42021
Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence
R Chopra, G Moraes, DJ Fu, S Wagner, T Spitz, M Wilson, J Yim, ...
Investigative Ophthalmology & Visual Science 61 (7), 1152-1152, 2020
12020
Automatic segmentation using artificial intelligence of baseline anatomical parameters of patients starting anti-VEGF injections for neovascular age-related macular degeneration
G Moraes, R Chopra, DJ Fu, S Wagner, T Spitz, M Wilson, J Yim, ...
Investigative Ophthalmology & Visual Science 61 (7), 1633-1633, 2020
2020
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