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Boris Babenko

Orbital Insight

Robust and Efficient Medical Imaging with Self-Supervision



Shekoofeh Azizi , Laura Culp , Jan Freyberg , Basil Mustafa , Sebastien Baur , Simon Kornblith , Ting Chen , Patricia MacWilliams , S. Sara Mahdavi , Ellery Wulczyn , Boris Babenko , Megan Wilson , Aaron Loh , Po-Hsuan Cameron Chen , Yuan Liu , Pinal Bavishi , Scott Mayer McKinney , Jim Winkens , Abhijit Guha Roy , Zach Beaver , Fiona Ryan , Justin Krogue , Mozziyar Etemadi , Umesh Telang , Yun Liu , Lily Peng , Greg S. Corrado , Dale R. Webster , David Fleet , Geoffrey Hinton , Neil Houlsby , Alan Karthikesalingam , Mohammad Norouzi , Vivek Natarajan


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Detecting hidden signs of diabetes in external eye photographs



Boris Babenko , Akinori Mitani , Ilana Traynis , Naho Kitade , Preeti Singh , April Maa , Jorge Cuadros , Greg S. Corrado , Lily Peng , Dale R. Webster , Avinash Varadarajan , Naama Hammel , Yun Liu


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Predicting Risk of Developing Diabetic Retinopathy using Deep Learning



Ashish Bora , Siva Balasubramanian , Boris Babenko , Sunny Virmani , Subhashini Venugopalan , Akinori Mitani , Guilherme de Oliveira Marinho , Jorge Cuadros , Paisan Ruamviboonsuk , Greg S Corrado , Lily Peng , Dale R Webster , Avinash V Varadarajan , Naama Hammel , Yun Liu , Pinal Bavishi


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Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning



Boris Babenko , Siva Balasubramanian , Katy E. Blumer , Greg S. Corrado , Lily Peng , Dale R. Webster , Naama Hammel , Avinash V. Varadarajan

* 27 pages, 7 figures 

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Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico



Boris Babenko , Jonathan Hersh , David Newhouse , Anusha Ramakrishnan , Tom Swartz

* 4 pages, 2 figures, Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

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