Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning. - Mohammad Eslami; Solale Tabarestani; Ehsan Adeli 001; Glyn Elwyn; Tobias Elze; Mengyu Wang 001; Nazlee Zebardast; Nassir Navab; Malek Adjouadi (CoRR, 2022)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (CoRR, 2022)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (IEEE J. Biomed. Health Informatics, 2023)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Louis R. Pasquale; Lucy Q. Shen; Nazlee Zebardast; Tobias Elze; Mengyu Wang 001 (IEEE Trans. Medical Imaging, 2024)

Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Min Shi 001; Yan Luo 002; Yu Tian 001; Lucy Q. Shen; Nazlee Zebardast; Mohammad Eslami; Saber Kazeminasab; Michael V. Boland; David S. Friedman; Louis R. Pasquale; Mengyu Wang 001 (npj Digit. Medicine, 2025)