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FairCLIP: Harnessing Fairness in Vision-Language Learning., , , , , , , , , and 2 other author(s). CoRR, (2024)Deep variational clustering framework for self-labeling large-scale medical images., , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling., , , , and . CoRR, (2023)Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning., , , , and . ICCV, page 20414-20425. IEEE, (2023)Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization., , , , , , , and . IEEE Trans. Medical Imaging, 43 (7): 2623-2633 (July 2024)Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering., , , and . IVCNZ, page 1-6. IEEE, (2018)Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images., , , , , , , , , and 3 other author(s). CoRR, (2022)Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis., , , , , , , , , and 2 other author(s). IEEE BigData, page 3775-3782. IEEE, (2020)RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps., , , , and . Medical Image Anal., (2024)