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Picture for Jim Winkens

Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions

Apr 08, 2021
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zach Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Greg S. Corrado, Umesh Telang, Yun Liu, Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens

* Under Review, 19 Pages 

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Supervised Transfer Learning at Scale for Medical Imaging

Jan 21, 2021
Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Megan Wilson, Scott Mayer McKinney, Marcin Sieniek, Jim Winkens, Yuan Liu, Peggy Bui, Shruthi Prabhakara, Umesh Telang, Alan Karthikesalingam, Neil Houlsby, Vivek Natarajan

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Contrastive Training for Improved Out-of-Distribution Detection

Jul 10, 2020
Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger

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Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks

Jul 02, 2018
Jasper Linmans, Jim Winkens, Bastiaan S. Veeling, Taco S. Cohen, Max Welling

* Presented at the ICML workshop: Towards learning with limited labels: Equivariance, Invariance, and Beyond, 2018 

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Rotation Equivariant CNNs for Digital Pathology

Jun 08, 2018
Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling

* To be presented at MICCAI 2018. Implementations of equivariant layers available at . PCam details and data at 

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