Minqing Zhang, et al. (2025). "Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks." MICCAI 2025. 1(3).
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).
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).
Xiaoyi Feng*, Minqing Zhang*, et al. (2024). "Diversified and Structure-Realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation." MICCAI 2024. 1(3).
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).
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).
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).
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).
Minqing Zhang, et al. (2020). "Characterizing Label Errors: Confident Learning for Noisy-labeled Image Segmentation." MICCAI 2020. 1(3).
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).
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA