Yan Luo

Broad Institute — United States

Medicine · Health Sciences

12h-index500citations44works6.32yr avg
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Research Topics

Glaucoma and retinal disorders(7), Retinal Imaging and Analysis(6), Domain Adaptation and Few-Shot Learning(5), Visual Attention and Saliency Detection(5), COVID-19 diagnosis using AI(4)

Publications44 total

TransFair: Transferring fairness from ocular disease classification to progression prediction
Artificial Intelligence in Medicine·2025
The Impact of Myopia on Regional Visual Field Loss and Progression in Glaucoma
Translational Vision Science & Technology·2025Open Access
VRS-UIE: Value-Driven Reordering Scanning for Underwater Image Enhancement
arXiv (Cornell University)·2025Open Access
Association Between Cup-to-Disc Ratio and Structural and Functional Damage Parameters in Glaucoma: Insights From Multiparametric Modeling
Translational Vision Science & Technology·2025· 1 citedOpen Access
FairDiffusion: Enhancing equity in latent diffusion models via fair Bayesian perturbation
Science Advances·2025· 3 citedOpen Access
An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018
BMC Medical Informatics and Decision Making·2025Open Access
Equitable artificial intelligence for glaucoma screening with fair identity normalization
npj Digital Medicine·2025· 4 citedOpen Access
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Lecture notes in computer science·2024· 16 cited
Dynamic Label Bidirectional Fusion Based Cross-modal Multi-label Image Classification
2024
Impact of Demographics on Regional Visual Field Loss and Deterioration in Glaucoma
Translational Vision Science & Technology·2024Open Access
FairCLIP: Harnessing Fairness in Vision-Language Learning
2024· 34 cited
IoT acoustic sensor design and antenna selection for a wind turbine structural health monitoring system
2024· 1 cited
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
IEEE Transactions on Medical Imaging·2024· 21 citedOpen Access
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps
Medical Image Analysis·2024· 8 cited
Learning to Predict Gradients for Semi-Supervised Continual Learning
IEEE Transactions on Neural Networks and Learning Systems·2024· 7 cited
Equitable Artificial Intelligence for Glaucoma Screening with Fair Identity Normalization
2023· 2 citedOpen Access
Experimental Quantification of Sensor-Based Stereocameras' Extrinsic Parameters Calibration
River Publishers eBooks·2023
Sensor-aided camera calibration for three dimensional digital image correlation measurements
2023
Learning invariant representation for unsupervised domain adaptive thorax disease classification
Pattern Recognition Letters·2022· 8 cited
Learning to Minimize the Remainder in Supervised Learning
IEEE Transactions on Multimedia·2022· 1 cited
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Frequent Co-authors

Mengyu Wang(10), Yongkang Wong(9), Qi Zhao(9), Mohan Kankanhalli(7), Tobias Elze(7), Yu Tian(7), Min Shi(7), Nazlee Zebardast(6), Louis R. Pasquale(5), Lucy Q. Shen(5), Changrui Yu(5), Mohammad Eslami(4), Michael V. Boland(4), Min Shi(3), Muhammad Osama Khan(3), Muhammad Muneeb Afzal(3), Yi Fang(3), Cong Wang(3), Kecheng Liu(3), Saber Kazeminasab(3)