Ryan Poplin

According to our database, Ryan Poplin authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

SyntheticFur dataset for neural rendering.

Trung Le, Ryan Poplin, Fred Bertsch, Andeep Singh Toor, Margaret L. Oh

CoRR, 2021

2020

Identifying viruses from metagenomic data using deep learning.

Jie Ren, Kai Song, Chao Deng, Nathan A. Ahlgren, Jed A. Fuhrman, Yi Li, Xiaohui Xie, Ryan Poplin, Fengzhu Sun

Quant. Biol., 2020

2019

GenomeWarp: an alignment-based variant coordinate transformation.

Cory Y. McLean, Yeongwoo Hwang, Ryan Poplin, Mark A. DePristo

Bioinform., 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

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Likelihood Ratios for Out-of-Distribution Detection.

Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning.

Ryan Poplin, Avinash V. Varadarajan, Katy Blumer, Yun Liu, Michael V. McConnell, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2017

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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017