Abigail E. Huang

According to our database, Abigail E. Huang authored at least 5 papers between 2018 and 2020.

Collaborative distances:

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

2020

Scientific Discovery by Generating Counterfactuals using Image Translation.

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan

CoRR, 2020

Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era.

Sally L. Baxter, Helena E. Gali, Michael F. Chiang, Michelle R. Hribar, Lucila Ohno-Machado, Robert El-Kareh, Abigail E. Huang, Heather E. Chen, Andrew Camp, Don O. Kikkawa, Bobby S. Korn, Jeffrey E. Lee, Christopher A. Longhurst, Marlene Millen

Appl. Clin. Inform., 2020

Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment.

Mike Schaekermann, Carrie J. Cai, Abigail E. Huang, Rory Sayres

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Detecting Anemia from Retinal Fundus Images.

Akinori Mitani, Yun Liu, Abigail E. Huang, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan

CoRR, 2019

2018

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images.

Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2018