Deep Multi-Task Learning for Interpretable Glaucoma Detection. - Nooshin Mojab; Vahid Noroozi; Philip S. Yu; Joelle A. Hallak (IRI, 2019)

A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. - Imon Banerjee; Luis de Sisternes; Joelle A. Hallak; Theodore Leng; Aaron Osborne; Mary Durbin; Daniel L. Rubin (CoRR, 2019)

Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. - Nooshin Mojab; Vahid Noroozi; Darvin Yi; Manoj Prabhakar Nallabothula; Abdullah Aleem; Philip S. Yu; Joelle A. Hallak (ICMLA, 2020)

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)

CvS: Classification via Segmentation For Small Datasets. - Nooshin Mojab; Philip S. Yu; Joelle A. Hallak; Darvin Yi (BMVC, 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)

AutoPtosis. - Abdullah Aleem; Manoj Prabhakar Nallabothula; Pete Setabutr; Joelle A. Hallak; Darvin Yi (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)