Detecting Cancer Metastases on Gigapixel Pathology Images. - Yun Liu 013; Krishna Gadepalli; Mohammad Norouzi 002; George E. Dahl; Timo Kohlberger; Aleksey Boyko; Subhashini Venugopalan; Aleksei Timofeev; Philip Q. Nelson; Gregory S. Corrado; Jason D. Hipp; Lily Peng; et al. (CoRR, 2017)

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. - Ryan Poplin; Avinash V. Varadarajan; Katy Blumer; Yun Liu 013; Michael V. McConnell; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. - Jonathan Krause; Varun Gulshan; Ehsan Rahimy; Peter Karth; Kasumi Widner; Gregory S. Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Deep learning for predicting refractive error from retinal fundus images. - Avinash V. Varadarajan; Ryan Poplin; Katy Blumer; Christof Angermüller; Joe Ledsam; Reena Chopra; Pearse A. Keane; Greg Corrado; Lily Peng; Dale R. Webster (CoRR, 2017)

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. - Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. - Avinash V. Varadarajan; Pinal Bavishi; Paisan Raumviboonsuk; Peranut Chotcomwongse; Subhashini Venugopalan; Arunachalam Narayanaswamy; Jorge Cuadros; Kuniyoshi Kanai; George Bresnick; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Sonia Phene; R. Carter Dunn; Naama Hammel; Yun Liu 013; Jonathan Krause; Naho Kitade; Mike Schaekermann; Rory Sayres; Derek J. Wu; Ashish Bora; Christopher Semturs; Anita Misra; et al. (CoRR, 2018)

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. - Boris Babenko; Siva Balasubramanian; Katy E. Blumer; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

Detecting Anemia from Retinal Fundus Images. - Akinori Mitani; Yun Liu 013; Abigail E. Huang; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

A deep learning system for differential diagnosis of skin diseases. - Yuan Liu; Ayush Jain; Clara Eng; David H. Way; Kang Lee; Peggy Bui; Kimberly Kanada; Guilherme de Oliveira Marinho; Jessica Gallegos; Sara Gabriele; Vishakha Gupta; Nalini Singh; et al. (CoRR, 2019)

Similar image search for histopathology: SMILY. - Narayan Hegde; Jason D. Hipp; Yun Liu 013; Michael Emmert-Buck; Emily Reif; Daniel Smilkov; Michael Terry; Carrie J. Cai; Mahul B. Amin; Craig H. Mermel; Philip Q. Nelson; Lily H. Peng; et al. (npj Digit. Medicine, 2019)

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. - Kunal Nagpal; Davis Foote; Yun Liu 013; Po-Hsuan Cameron Chen; Ellery Wulczyn; Fraser Tan; Niels Olson; Jenny L. Smith; Arash Mohtashamian; James H. Wren; Gregory S. Corrado; Robert MacDonald; et al. (npj Digit. Medicine, 2019)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Scientific Discovery by Generating Counterfactuals Using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Gregory S. Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Michael P. Brenner; Philip C. Nelson; Avinash V. Varadarajan (MICCAI (1), 2020)

Scientific Discovery by Generating Counterfactuals using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Greg Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Rory Sayres; Abigail E. Huang; Siva Balasubramanian; Michael P. Brenner; Philip Q. Nelson; et al. (CoRR, 2020)

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; Gregory S. Corrado; Lily Peng; Dale R. Webster; et al. (CoRR, 2020)

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; et al. (CoRR, 2020)

Detecting hidden signs of diabetes in external eye photographs. - Boris Babenko; Akinori Mitani; Ilana Traynis; Naho Kitade; Preeti Singh; April Y. Maa; Jorge Cuadros; Greg Corrado; Lily Peng; Dale R. Webster; Avinash V. Varadarajan; Naama Hammel; et al. (CoRR, 2020)

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B. Amin; et al. (CoRR, 2020)

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 P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

Interpretable survival prediction for colorectal cancer using deep learning. - Ellery Wulczyn; David F. Steiner; Melissa Moran; Markus Plass; Robert Reihs; Fraser Tan; Isabelle Flament-Auvigne; Trissia Brown; Peter Regitnig; Po-Hsuan Cameron Chen; Narayan Hegde; Apaar Sadhwani; et al. (npj Digit. Medicine, 2021)

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 003; Elizabeth M. Stringer; Scott Mayer McKinney; Ntazana Sindano; et al. (CoRR, 2022)

Robust and Efficient Medical Imaging with Self-Supervision. - Shekoofeh Azizi; Laura Culp; Jan Freyberg; Basil Mustafa; Sebastien Baur; Simon Kornblith; Ting Chen 007; Patricia MacWilliams; S. Sara Mahdavi; Ellery Wulczyn; Boris Babenko; Megan Wilson; et al. (CoRR, 2022)

Discovering novel systemic biomarkers in photos of the external eye. - Boris Babenko; Ilana Traynis; Christina Chen; Preeti Singh; Akib Uddin; Jorge Cuadros; Lauren P. Daskivich; April Y. Maa; Kim Ramasamy; Eugene Yu-Chuan Kang; Yossi Matias; Gregory S. Corrado; et al. (CoRR, 2022)