Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity. - Aaron S. Coyner; Ryan Swan; Jayashree Kalpathy-Cramer; Sang-Jin Kim; John Peter Campbell; Karyn Jonas; Susan Ostmo; R. V. P. Chan; Michael F. Chiang (AMIA, 2017)

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. - Aaron S. Coyner; Ryan Swan; James M. Brown 001; Jayashree Kalpathy-Cramer; Sang-Jin Kim; John Peter Campbell; Karyn Jonas; Susan Ostmo; R. V. P. Chan; Michael F. Chiang (AMIA, 2018)

Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. - Aaron S. Coyner; Jimmy Chen; John Peter Campbell; Susan Ostmo; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang (AMIA, 2020)

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. - Aaron S. Coyner; Praveer Singh; James M. Brown 001; Susan Ostmo; R. V. Paul Chan; Michael F. Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell (CoRR, 2021)

A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. - Huijuan Yang; Aaron S. Coyner; Feri Guretno; Ivan Ho Mien; Chuan Sheng Foo; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Pavitra Krishnaswamy (ICASSP, 2022)

A generalized framework to predict continuous scores from medical ordinal labels. - Katharina Viktoria Hoebel; Andréanne Lemay; John Peter Campbell; Susan Ostmo; Michael F. Chiang; Christopher P. Bridge; Matthew D. Li; Praveer Singh; Aaron S. Coyner; Jayashree Kalpathy-Cramer (CoRR, 2023)

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. - Lakshika Rathi; Giacomo Nebbia; Ken Chang; Sourav Kumar; Aarushi Gupta; Syed Rakin Ahmed; Jay B. Patel; Christopher Clark; Yoga Advaith Veturi; Aaron S. Coyner; Aakanksha Rana; Christopher P. Bridge; et al. (FAIMI/EPIMI@MICCAI, 2024)