Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. - Mengyu Wang 001; Jing Zhang; Lars J. Grimm; Sujata V. Ghate; Ruth Walsh; Karen S. Johnson; Joseph Y. Lo; Maciej A. Mazurowski (Image Perception, Observer Performance, and Technology Assessment, 2016)

A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases. - Mengyu Wang 001; Meng Wang; Lars J. Grimm; Maciej A. Mazurowski (Expert Syst. Appl., 2016)

Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. - Mengyu Wang 001; Jing Zhang; Lars J. Grimm; Sujata V. Ghate; Ruth Walsh; Karen S. Johnson; Joseph Y. Lo; Maciej A. Mazurowski (Expert Syst. Appl., 2016)

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. - Sidharth Mahotra; Mengyu Wang 001; Tobias Elze; Michael V. Boland; Louis R. Pasquale; Juleke Majoor; Koen A. Vermeer; Chris Johnson; Kouros Nouri-Mahdavi; Hans G. Lemij; Michael H. Goldbaum; Siamak Yousefi (IEEE BigData, 2020)

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)

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. - Yan Luo 002; Min Shi 001; Yu Tian 001; Tobias Elze; Mengyu Wang 001 (ICCV, 2023)

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Mengyu Wang 001; Gustavo Carneiro 001 (MLMI@MICCAI (2), 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; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

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)

FairCLIP: Harnessing Fairness in Vision-Language Learning. - Yan Luo 002; Min Shi 001; Muhammad Osama Khan; Muhammad Muneeb Afzal; Hao Huang 003; Shuaihang Yuan; Yu Tian 001; Luo Song; Ava Kouhana; Tobias Elze; Yi Fang 006; Mengyu Wang 001 (CVPR, 2024)

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. - Yu Tian 001; Congcong Wen; Min Shi 001; Muhammad Muneeb Afzal; Hao Huang 003; Muhammad Osama Khan; Yan Luo 002; Yi Fang 006; Mengyu Wang 001 (ECCV (76), 2024)

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (ICLR, 2024)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Leila Gheisi; Henry Chu; Raju Gottumukkala; Yan Luo 002; Xingquan Zhu 001; Mengyu Wang 001; Min Shi 001 (CoRR, 2024)

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. - Yan Luo 002; Muhammad Osama Khan; Congcong Wen; Muhammad Muneeb Afzal; Titus Fidelis Wuermeling; Min Shi 001; Yu Tian 001; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning. - Yan Luo 002; Congcong Wen; Min Shi 001; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. - Min Shi 001; Yu Tian 001; Yan Luo 002; Tobias Elze; Mengyu Wang 001 (Medical Image Anal., 2024)

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)

Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation. - Sulaiman O. Afolabi; Leila Gheisi; Jing Shan; Lucy Q. Shen; Mengyu Wang 001; Min Shi 001 (npj Digit. Medicine, 2025)

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)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. - Minghan Li; Congcong Wen; Yu Tian 001; Min Shi 001; Yan Luo 002; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2025)

CurveFlow: Curvature-Guided Flow Matching for Image Generation. - Yan Luo 002; Drake Du; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2025)