Ryan Poplin

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 9

Top Topics

Synthetic Datasets

Top Venues

Publications

Trung Le, Ryan Poplin, Fred Bertsch, Andeep Singh Toor, Margaret L. Oh
SyntheticFur dataset for neural rendering. CoRR (2021)
Jie Ren, Kai Song, Chao Deng, Nathan A. Ahlgren, Jed A. Fuhrman, Yi Li, Xiaohui Xie, Ryan Poplin, Fengzhu Sun
Identifying viruses from metagenomic data using deep learning. Quant. Biol. 8 (1) (2020)
Peyton Greenside, Justin M. Zook, Marc Salit, Madeleine L. Cule, Ryan Poplin, Mark A. DePristo
CrowdVariant: a crowdsourcing approach to classify copy number variants. PSB (2019)
Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan
Likelihood Ratios for Out-of-Distribution Detection. CoRR (2019)
Cory Y. McLean, Yeongwoo Hwang, Ryan Poplin, Mark A. DePristo
GenomeWarp: an alignment-based variant coordinate transformation. Bioinform. 35 (21) (2019)
Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan
Likelihood Ratios for Out-of-Distribution Detection. NeurIPS (2019)
Ryan Poplin, Avinash V. Varadarajan, Katy Blumer, Yun Liu, Michael V. McConnell, Gregory S. Corrado, Lily Peng, Dale R. Webster
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. CoRR (2017)
Avinash V. Varadarajan, Ryan Poplin, Katy Blumer, Christof Angermüller, Joe Ledsam, Reena Chopra, Pearse A. Keane, Greg Corrado, Lily Peng, Dale R. Webster
Deep learning for predicting refractive error from retinal fundus images. CoRR (2017)
Yaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel Newburger, Ryan Poplin, Tiantian Zha, D. Sculley
Learning to Count Mosquitoes for the Sterile Insect Technique. KDD (2017)