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ORCIDMengyu Wang 0001
Person information
- affiliation: Schepens Eye Research Institute, Harvard Ophthalmology AI Lab, Boston, MA, USA
- affiliation: Harvard Medical School, Massachusetts Eye and Ear, Boston, MA, USA
- affiliation (former): Duke University School of Medicine, Durham, NC, USA
Other persons with the same name
- Mengyu Wang — disambiguation page
- Mengyu Wang 0002 — Peking University, Wangxuan Institute of Computer Technology, Beijing, China
- Mengyu Wang 0003
![[0009-0003-3104-7725]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0003-3104-7725")
— Beijing Jiaotong University, Institute of Information Science, China
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Journal Articles
- 2024
[j5]Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang:
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. Medical Image Anal. 94: 103110 (2024)- [j4]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): 2623-2633 (2024) - 2023
- [j3]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): 4329-4340 (2023) - 2016
- [j2]Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski:
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. Expert Syst. Appl. 56: 1-8 (2016) - [j1]Mengyu Wang, Meng Wang, Lars J. Grimm, Maciej A. Mazurowski:
A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases. Expert Syst. Appl. 64: 490-499 (2016)
Conference and Workshop Papers
- 2023
- [c4]Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. ICCV 2023: 20414-20425 - [c3]Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) 2023: 11-21 - 2020
- [c2]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:
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. IEEE BigData 2020: 3775-3782 - 2016
- [c1]Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski:
Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978709
Informal and Other Publications
- 2024
- [i7]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:
FairCLIP: Harnessing Fairness in Vision-Language Learning. CoRR abs/2403.19949 (2024) - 2023
- [i6]Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. CoRR abs/2306.09264 (2023) - [i5]Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. CoRR abs/2308.13411 (2023) - [i4]Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang:
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. CoRR abs/2310.02492 (2023) - [i3]Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang:
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. CoRR abs/2311.02189 (2023) - 2022
- [i2]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 abs/2205.04599 (2022) - [i1]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 abs/2209.00773 (2022)
Coauthor Index
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