Aaron S. Coyner

According to our database, Aaron S. Coyner authored at least 6 papers between 2017 and 2023.

Collaborative distances:

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

2023

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

2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations.

Aaron S. Coyner, Praveer Singh, James M. Brown, Susan Ostmo, R. V. Paul Chan, Michael F. Chiang, Jayashree Kalpathy-Cramer, J. Peter Campbell

CoRR, 2021

2020

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

Proceedings of the AMIA 2020, 2020

2018

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

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

Proceedings of the AMIA 2018, 2018

2017

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

Proceedings of the AMIA 2017, 2017