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Yun Liu
Researcher at Google
Publications - 95
Citations - 6743
Yun Liu is an academic researcher from Google. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 26, co-authored 72 publications receiving 3869 citations. Previous affiliations of Yun Liu include Agency for Science, Technology and Research & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin,Avinash V. Varadarajan,Katy Blumer,Yun Liu,Michael V. McConnell,Greg S. Corrado,Lily Peng,Dale R. Webster +7 more
TL;DR: In this article, the authors used deep learning models trained on retinal fundus images to predict cardiovascular risk factors not previously thought to be present or quantifiable in retinal images.
Journal ArticleDOI
Predicting Cardiovascular Risk Factors in Retinal Fundus Photographs using Deep Learning
Ryan Poplin,Avinash V. Varadarajan,Katy Blumer,Yun Liu,Michael V. McConnell,Greg S. Corrado,Lily Peng,Dale R. Webster +7 more
TL;DR: Deep learning predicts, from retinal images, cardiovascular risk factors—such as smoking status, blood pressure and age—not previously thought to be present or quantifiable in these images.
Posted Content
Detecting Cancer Metastases on Gigapixel Pathology Images
Yun Liu,Krishna Gadepalli,Mohammad Norouzi,George E. Dahl,Timo Kohlberger,Subhashini Venugopalan,Aleksey S Boyko,Aleksei Timofeev,Philip Q Nelson,Greg S. Corrado,Jason D. Hipp,Lily Peng,Martin C. Stumpe +12 more
TL;DR: This work presents a framework to automatically detect and localize tumors as small as 100 x 100 pixels in gigapixel microscopy images sized 100,000 x100,000 pixels and achieves image-level AUC scores above 97% on both the Camelyon16 test set and an independent set of 110 slides.
Journal ArticleDOI
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.
David F. Steiner,Robert C. MacDonald,Yun Liu,Peter Truszkowski,Jason Hipp,Christopher Gammage,Florence Thng,Lily Peng,Martin C. Stumpe +8 more
TL;DR: The potential of a deep learning algorithm to improve pathologist accuracy and efficiency in a digital pathology workflow is demonstrated by a multireader multicase study utilizing a proof of concept assistant tool.
Journal ArticleDOI
Deep learning-enabled medical computer vision.
Andre Esteva,Katherine Chou,Serena Yeung,Nikhil Naik,Ali Madani,Ali Mottaghi,Yun Liu,Eric J. Topol,Jeffrey Dean,Richard Socher +9 more
TL;DR: In this paper, the authors survey recent progress in the development of modern computer vision techniques-powered by deep learning-for medical applications, focusing on medical imaging, medical video, and clinical deployment.