Ryan Poplin
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Authored Publications
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Likelihood Ratios for Out-of-Distribution Detection
Peter J. Liu
Mark DePristo
Josh Dillon
arXiv preprint arXiv:1906.02845 (2019)
A universal SNP and small-indel variant caller using deep neural networks
Scott Schwartz
Dan Newburger
Jojo Dijamco
Nam Nguyen
Pegah T. Afshar
Sam S. Gross
Lizzie Dorfman
Mark A. DePristo
Nature Biotechnology (2018)
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Eric Christiansen
Mike Ando
Ashkan Javaherian
Gaia Skibinski
Scott Lipnick
Elliot Mount
Alison O'Neil
Kevan Shah
Alicia K. Lee
Piyush Goyal
Liam Fedus
Andre Esteva
Lee Rubin
Steven Finkbeiner
Cell (2018)
Deep learning for predicting refractive error from retinal fundus images
Avinash Vaidyanathan Varadarajan
Katy Blumer
Reena Chopra
Pearse Keane
Lily Peng
IOVS (2018)
A deep learning approach to pattern recognition for short DNA sequences
Akosua Busia
Clara Fannjiang
Lizzie Dorfman
Mark DePristo
bioArxiv (2018)
Predicting Cardiovascular Risk Factors in Retinal Fundus Photographs using Deep Learning
Avinash Vaidyanathan Varadarajan
Katy Blumer
Mike McConnell
Lily Peng
Nature Biomedical Engineering (2018)
Learning to count mosquitoes for the Sterile Insect Technique
Yaniv Ovadia
Yoni Halpern
Dilip Krishnan
Daniel Newburger
D. Sculley
Proceedings of the 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2017)
