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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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AI system for fetal ultrasound in low-resource settings



Ryan G. Gomes , Bellington Vwalika , Chace Lee , Angelica Willis , Marcin Sieniek , Joan T. Price , Christina Chen , Margaret P. Kasaro , James A. Taylor , Elizabeth M. Stringer , Scott Mayer McKinney , Ntazana Sindano , George E. Dahl , William Goodnight III , Justin Gilmer , Benjamin H. Chi , Charles Lau , Terry Spitz , T Saensuksopa , Kris Liu , Jonny Wong , Rory Pilgrim , Akib Uddin , Greg Corrado , Lily Peng , Katherine Chou , Daniel Tse , Jeffrey S. A. Stringer , Shravya Shetty


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Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries



Sahar Kazemzadeh , Jin Yu , Shahar Jamshy , Rory Pilgrim , Zaid Nabulsi , Christina Chen , Neeral Beladia , Charles Lau , Scott Mayer McKinney , Thad Hughes , Atilla Kiraly , Sreenivasa Raju Kalidindi , Monde Muyoyeta , Jameson Malemela , Ting Shih , Greg S. Corrado , Lily Peng , Katherine Chou , Po-Hsuan Cameron Chen , Yun Liu , Krish Eswaran , Daniel Tse , Shravya Shetty , Shruthi Prabhakara


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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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Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases



Zaid Nabulsi , Andrew Sellergren , Shahar Jamshy , Charles Lau , Eddie Santos , Atilla P. Kiraly , Wenxing Ye , Jie Yang , Sahar Kazemzadeh , Jin Yu , Raju Kalidindi , Mozziyar Etemadi , Florencia Garcia Vicente , David Melnick , Greg S. Corrado , Lily Peng , Krish Eswaran , Daniel Tse , Neeral Beladia , Yun Liu , Po-Hsuan Cameron Chen , Shravya Shetty


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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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Scientific Discovery by Generating Counterfactuals using Image Translation



Arunachalam Narayanaswamy , Subhashini Venugopalan , Dale R. Webster , Lily Peng , Greg Corrado , Paisan Ruamviboonsuk , Pinal Bavishi , Michael Brenner , Philip Nelson , Avinash V. Varadarajan

* MICCAI 2020 
* Accepted at MICCAI 2020. This version combines camera-ready and supplement 

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Detecting Anemia from Retinal Fundus Images



Akinori Mitani , Yun Liu , Abigail Huang , Greg S. Corrado , Lily Peng , Dale R. Webster , Naama Hammel , Avinash V. Varadarajan

* 31 pages, 5 figures, 3 tables 

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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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Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images



Sonia Phene , R. Carter Dunn , Naama Hammel , Yun Liu , Jonathan Krause , Naho Kitade , Mike Schaekermann , Rory Sayres , Derek J. Wu , Ashish Bora , Christopher Semturs , Anita Misra , Abigail E. Huang , Arielle Spitze , Felipe A. Medeiros , April Y. Maa , Monica Gandhi , Greg S. Corrado , Lily Peng , Dale R. Webster


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