Mengyu Wang

31 papers A* 3A 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clinically informed semi-supervised learning improves disease annotation and equity from electronic health records: a glaucoma case study.
npj Digit. Medicine
Mousa Moradi, Rishi Shah, Asahi Fujita, Niloufar Bineshfar, Daniel M. Vu, Kanza Aziz, Daniel L. Liebman, Saber Kazeminasab, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast
2026 J jnl
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA.
IEEE Trans. Medical Imaging
Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang
2026 J jnl
TransFair: Transferring fairness from ocular disease classification to progression prediction.
Artif. Intell. Medicine
Min Shi, Leila Gheisi, Chee-Hung Henry Chu, Raju Gottumukkala, Yan Luo, Mengyu Wang, Xingquan Zhu
2025 J jnl
CurveFlow: Curvature-Guided Flow Matching for Image Generation.
CoRR
Yan Luo, Drake Du, Hao Huang, Yi Fang, Mengyu Wang
2025 J jnl
Equitable artificial intelligence for glaucoma screening with fair identity normalization.
npj Digit. Medicine
Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang
2025 J jnl
Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation.
npj Digit. Medicine
Sulaiman O. Afolabi, Leila Gheisi, Jing Shan, Lucy Q. Shen, Mengyu Wang, Min Shi
2025 J jnl
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA.
CoRR
Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang
2025 A conf
Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models.
IROS
Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Shuaihang Yuan, Hao Huang, Yu Hao, Mengyu Wang, Yu-Shen Liu, Anthony Tzes, Yi Fang
2024 A* conf
FairCLIP: Harnessing Fairness in Vision-Language Learning.
CVPR
Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
2024 J jnl
FairCLIP: Harnessing Fairness in Vision-Language Learning.
CoRR
Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
2024 J jnl
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation.
CoRR
Yan Luo, Muhammad Osama Khan, Congcong Wen, Muhammad Muneeb Afzal, Titus Fidelis Wuermeling, Min Shi, Yu Tian, Yi Fang, Mengyu Wang
2024 — conf
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.
ECCV (76)
Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
2024 J jnl
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.
CoRR
Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
2024 A* conf
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling.
ICLR
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
2024 J jnl
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
IEEE Trans. Medical Imaging
Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang
2024 J jnl
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning.
CoRR
Yan Luo, Congcong Wen, Min Shi, Hao Huang, Yi Fang, Mengyu Wang
2024 J jnl
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps.
Medical Image Anal.
Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang
2024 J jnl
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction.
CoRR
Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi
2023 J jnl
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.
IEEE J. Biomed. Health Informatics
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
2023 J jnl
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling.
CoRR
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
2023 J jnl
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling.
CoRR
Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
2023 A* conf
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.
ICCV
Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
2023 J jnl
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.
CoRR
Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
2023 J jnl
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
CoRR
Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
2023 — conf
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.
MLMI@MICCAI (2)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
2022 J jnl
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning.
CoRR
Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi
2022 J jnl
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.
CoRR
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
2020 — conf
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.
IEEE BigData
Sidharth Mahotra, Mengyu Wang, 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
2016 J jnl
A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases.
Expert Syst. Appl.
Mengyu Wang, Meng Wang, Lars J. Grimm, Maciej A. Mazurowski
2016 — conf
Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features.
Image Perception, Observer Performance, and Technology Assessment
Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski
2016 J jnl
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach.
Expert Syst. Appl.
Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski