Published in NEJM AI, 2024
This paper is about developing an ophthalmic foundation model.
Recommended citation: Jianing Qiu, Jian Wu, Hao Wei, Peilun Shi, Minqing Zhang, et al. (2024). "Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence." NEJM AI. 1(1).
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Published in Computers in Biology and Medicine, 2024
This paper is about improving domain generalization for DR grading.
Recommended citation: Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, et al. (2024). "CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading." Computers in Biology and Medicine. 1(1).
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Published in Medical Physics, 2020
This paper is about detecting the brain midline for largely deformed subjects from head CT scans.
Recommended citation: Hao Wei, Xiangyu Tang, Minqing Zhang, et al. (2020). "The Delineation of Largely Deformed Brain Midline using Regression‐based Line Detection Network." Medical Physics. 1(2).
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Published in MICCAI, 2025
This paper is about improving real-world robustness for retinal vessel segmentation from fundus images.
Recommended citation: Minqing Zhang, et al. (2025). "Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks." MICCAI 2025. 1(3).
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Published in MICCAI, 2025
This paper is about synthesizing realistic B-scans for cardiovascular OCT.
Recommended citation: Linyuan Li, Bing Yang, Minqing Zhang, et al. (2025). "CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity." MICCAI 2025. 1(3).
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Published in MICCAI (early accept), 2024
This paper investigates the benefits of synthesis models for DR lesion segmentation from fundus images.
Recommended citation: Xiaoyi Feng*, Minqing Zhang*, et al. (2024). "Diversified and Structure-Realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation." MICCAI 2024. 1(3).
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Published in ISBI, 2024
This paper is about fixing the low-quality image issue for retinal vessel segmentation from fundus images.
Recommended citation: Mengxian He*, Minqing Zhang*, et al. (2024). "SSL-ENSAM: Utilizing SAM for Semi-Supervised Retinal Vessel Segmentation with Quality-Aware Enhancement." ISBI 2024. 1(3).
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Published in MICCAI, 2023
This paper is about fixing the noisy label issue for surgical video segmentation.
Recommended citation: Beilei Cui*, Minqing Zhang*, et al. (2023). "Rectifying Noisy Labels with Sequential Prior: Multi-scale Temporal Feature Affinity Learning for Robust Video Segmentation." MICCAI 2023. 1(3).
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Published in MICCAI (early accept), 2020
This paper is about fixing the noisy label issue for 2D medical image segmentation.
Recommended citation: Minqing Zhang, et al. (2020). "Characterizing Label Errors: Confident Learning for Noisy-labeled Image Segmentation." MICCAI 2020. 1(3).
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Published in MICCAI (early accept), 2019
This paper is about detecting the brain midline for largely deformed subjects from head CT scans.
Recommended citation: Hao Wei, Xiangyu Tang, Minqing Zhang, et al. (2019). "Regression-based Line Detection Network for Delineation of Largely Deformed Brain Midline." MICCAI 2019. 1(3).
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