Leveraging Semi-Supervised Learning for Fairness using Neural Networks. - Vahid Noroozi; Sara Bahaadini; Samira Sheikhi; Nooshin Mojab; Philip S. Yu (ICMLA, 2019)

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

Geometry Fidelity for Spherical Images. - Anders Christensen; Nooshin Mojab; Khushman Patel; Karan Ahuja; Zeynep Akata; Ole Winther; Mar González-Franco; Andrea Colaco (ECCV (80), 2024)