Meng Wang

Orcid: 0000-0001-7882-1747

Affiliations:
  • Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
  • Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore (2022 - 2023)
  • Soochow University, School of Electronics and Information Engineering, Suzhou, China (PhD 2021)


According to our database1, Meng Wang authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2026
Unsupervised domain adaptation via style-aware self-intermediate domain.
Pattern Recognit., 2026

2025
Uncertainty-Aware Medical Diagnostic Phrase Identification and Grounding.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Masked Vascular Structure Segmentation and Completion in Retinal Images.
IEEE Trans. Medical Imaging, June, 2025

Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices.
IEEE Trans. Medical Imaging, April, 2025

Reliable Federated Disentangling Network for Non-IID Domain Feature.
IEEE Trans. Big Data, April, 2025

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR, April, 2025

SpectralDINO: Dual Mixture-of-Subspaces Low-Rank Adaptation for Cross-Domain Hyperspectral Image Few-Shot Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

Efficiency and safety of automated label cleaning on multimodal retinal images.
npj Digit. Medicine, 2025

Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images.
IEEE Trans. Medical Imaging, January, 2024

Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images.
CoRR, 2024

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024

2023
Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization Segmentation in OCT Images.
IEEE Trans. Medical Imaging, November, 2023

Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.
IEEE Trans. Biomed. Eng., July, 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
CoRR, 2023

2022
MsTGANet: Automatic Drusen Segmentation From Retinal OCT Images.
IEEE Trans. Medical Imaging, 2022

Speckle Noise Reduction for OCT Images Based on Image Style Transfer and Conditional GAN.
IEEE J. Biomed. Health Informatics, 2022

Joint Segmentation of Multi-Class Hyper-Reflective Foci in Retinal Optical Coherence Tomography Images.
IEEE Trans. Biomed. Eng., 2022

Multi-view-based automatic method for multiple diseases screening in retinal OCT images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learning.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images.
IEEE Trans. Medical Imaging, 2021

Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy.
IEEE Trans. Medical Imaging, 2021

SANet: a self-adaptive network for hyperreflective foci segmentation in retinal OCT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cu-Segnet: Corneal Ulcer Segmentation Network.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cycle Adaptive Multi-Target Weighting Network For Automated Diabetic Retinopathy Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2020


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