Nazlee Zebardast

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 4

Top Topics

Unsupervised Learning

Top Venues

IEEE J. Biomed. Health Informatics

IEEE Trans. Medical Imaging

Publications

Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. IEEE Trans. Medical Imaging 43 (7) (2024)
Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. CoRR (2022)
Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning. CoRR (2022)