Abigail E. Huang

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 5

Top Topics

Region Of Interest

Top Venues

Appl. Clin. Inform.

Publications

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael Brenner, Philip Q. Nelson, Avinash V. Varadarajan
Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR (2020)
Mike Schaekermann, Carrie J. Cai, Abigail E. Huang, Rory Sayres
Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment. CHI (2020)
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
Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era. Appl. Clin. Inform. 11 (01) (2020)
Akinori Mitani, Yun Liu, Abigail E. Huang, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan
Detecting Anemia from Retinal Fundus Images. CoRR (2019)
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
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. CoRR (2018)