Jim Winkens
Jim Winkens
Verified email at google.com
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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
802018
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, 1-8, 2020
92020
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
72018
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
62018
Rotation Equivariant CNNs for Digital Pathology BT–Medical Image Computing and Computer Assisted Intervention–MICCAI 2018
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
Springer Cham: Granada, Spain, 2018
52018
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
22020
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
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
2020
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