Development and Evaluation of Reference Standards for Image-based Telemedicine Diagnosis and Clinical Research Studies in Ophthalmology. - Michael C. Ryan; Susan Ostmo; Karyn Jonas; Audina Berrocal; Kimberly Drenser; Jason Horowitz; Thomas C. Lee; Charles Simmons; Maria-Ana Martinez-Castellanos; R. V. P. Chan; Michael F. Chiang (AMIA, 2014)

Implementation and evaluation of a tele-education system for the diagnosis of ophthalmic disease by international trainees. - John Peter Campbell; Ryan Swan; Karyn Jonas; Susan Ostmo; Camila Ventura; Maria-Ana Martinez-Castellanos; Rachelle G. Anzures; Michael F. Chiang; R. V. P. Chan (AMIA, 2015)

Toward a severity index for ROP: An unsupervised approach. - Peng Tian; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Susan Ostmo; Karyn Jonas; R. V. P. Chan; J. Peter Campbell; Michael F. Chiang; Deniz Erdogmus (EMBC, 2016)

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)

I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. - Nooshin Mojab; Vahid Noroozi; Abdullah Aleem; Manoj Prabhakar Nallabothula; Joseph Baker; Dimitri T. Azar; Mark Rosenblatt; R. V. Paul Chan; Darvin Yi; Philip S. Yu; Joelle A. Hallak (HEALTHINF, 2021)

I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. - Nooshin Mojab; Vahid Noroozi; Abdullah Aleem; Manoj Prabhakar Nallabothula; Joseph Baker; Dimitri T. Azar; Mark Rosenblatt; R. V. Paul Chan; Darvin Yi; Philip S. Yu; Joelle A. Hallak (CoRR, 2021)

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)

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. - Minhaj Nur Alam; Rikiya Yamashita; Vignav Ramesh; Tejas S. Prabhune; Jennifer I. Lim; R. V. P. Chan; Joelle A. Hallak; Theodore Leng; Daniel L. Rubin (CoRR, 2022)

A portable widefield fundus camera with high dynamic range imaging capability. - Alfa Rossi; Mojtaba Rahimi; David Le; Taeyoon Son; Michael J. Heiferman; R. V. Paul Chan; Xincheng Yao (CoRR, 2022)