Learning to Count Mosquitoes for the Sterile Insect Technique. - Yaniv Ovadia; Yoni Halpern; Dilip Krishnan; Josh Livni; Daniel E. Newburger; Ryan Poplin; Tiantian Zha; D. Sculley (KDD, 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)

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)

Likelihood Ratios for Out-of-Distribution Detection. - Jie Ren 006; Peter J. Liu; Emily Fertig; Jasper Snoek; Ryan Poplin; Mark A. DePristo; Joshua V. Dillon; Balaji Lakshminarayanan (NeurIPS, 2019)

CrowdVariant: a crowdsourcing approach to classify copy number variants. - Peyton Greenside; Justin M. Zook; Marc Salit; Madeleine L. Cule; Ryan Poplin; Mark A. DePristo (PSB, 2019)

GenomeWarp: an alignment-based variant coordinate transformation. - Cory Y. McLean; Yeongwoo Hwang; Ryan Poplin; Mark A. DePristo (Bioinform., 2019)

Identifying viruses from metagenomic data using deep learning. - Jie Ren 006; Kai Song; Chao Deng; Nathan A. Ahlgren; Jed A. Fuhrman; Yi Li; Xiaohui Xie; Ryan Poplin; Fengzhu Sun (Quant. Biol., 2020)

SyntheticFur dataset for neural rendering. - Trung Le 006; Ryan Poplin; Fred Bertsch; Andeep Singh Toor; Margaret L. Oh (CoRR, 2021)