Boris Babenko

Boris is a software engineer in Google Health, where he works on discovering new imaging biomarkers using machine learning. Prior to Google, Boris worked on satellite image analysis at Orbital Insight, a consumer photo product at Dropbox, and co-founded a data labeling startup. He received a PhD in Computer Science from UC San Diego.
Authored Publications
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    Google
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Laura Anne Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
Simon Kornblith
Ting Chen
Patricia MacWilliams
Sara Mahdavi
Megan Zoë Walker
Aaron Loh
Cameron Chen
Scott Mayer McKinney
Jim Winkens
Zach William Beaver
Fiona Keleher Ryan
Mozziyar Etemadi
Umesh Telang
Lily Hao Yi Peng
Geoffrey Everest Hinton
Neil Houlsby
Mohammad Norouzi
Nature Biomedical Engineering (2023)
Longitudinal fundus imaging and its genome-wide association analysis provides evidence for a human retinal aging clock
Sara Ahadi
Kenneth A Wilson Jr,
Drew Bryant
Orion Pritchard
Ajay Kumar
Enrique M Carrera
Ricardo Lamy
Jay M Stewart
Avinash Varadarajan
Pankaj Kapahi
Ali Bashir
eLife (2023)
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study
Ilana Traynis
Christina Chen
Akib Uddin
Jorge Cuadros
Lauren P. Daskivich
April Y. Maa
Ramasamy Kim
Eugene Yu-Chuan Kang
Lily Peng
Avinash Varadarajan
The Lancet Digital Health (2023)
Detection of signs of disease in external photographs of the eyes via deep learning
Akinori Mitani
Ilana Traynis
Naho Kitade
April Maa
Jorge Cuadros
Lily Hao Yi Peng
Avinash Vaidyanathan Varadarajan
Nature Biomedical Engineering (2022)
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora
Siva Balasubramanian
Sunny Virmani
Akinori Mitani
Guilherme De Oliveira Marinho
Jorge Cuadros
Dr. Paisan Raumviboonsuk
Lily Hao Yi Peng
Avinash Vaidyanathan Varadarajan
Lancet Digital Health (2020)