Aaron S. Coyner

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 6

Top Topics

Correlation Coefficient

Minimally Supervised

Top Venues

Publications

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
A generalized framework to predict continuous scores from medical ordinal labels. CoRR (2023)
Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy
A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. ICASSP (2022)
Aaron S. Coyner, Praveer Singh, James M. Brown, Susan Ostmo, R. V. Paul Chan, Michael F. Chiang, Jayashree Kalpathy-Cramer, J. Peter Campbell
Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. CoRR (2021)
Aaron S. Coyner, Jimmy Chen, John Peter Campbell, Susan Ostmo, Praveer Singh, Jayashree Kalpathy-Cramer, Michael F. Chiang
Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. AMIA (2020)
Aaron S. Coyner, Ryan Swan, James M. Brown, Jayashree Kalpathy-Cramer, Sang-Jin Kim, John Peter Campbell, Karyn Jonas, Susan Ostmo, R. V. P. Chan, Michael F. Chiang
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. AMIA (2018)
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
Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity. AMIA (2017)