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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Posts
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Blog Post number 4
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Blog Post number 1
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experience
portfolio
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publications
Regression-based Line Detection Network for Delineation of Largely Deformed Brain Midline
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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Characterizing Label Errors: Confident Learning for Noisy-labeled Image Segmentation
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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The Delineation of Largely Deformed Brain Midline using Regression‐based Line Detection Network
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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Rectifying Noisy Labels with Sequential Prior: Multi-scale Temporal Feature Affinity Learning for Robust Video Segmentation
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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SSL-ENSAM: Utilizing SAM for Semi-Supervised Retinal Vessel Segmentation with Quality-Aware Enhancement
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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CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading
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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Diversified and Structure-Realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion Segmentation
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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Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
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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CardioInterp: Generative Modeling for Cardiovascular OCT Interpolation with Anatomical Continuity and Fidelity
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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Towards Robust Retinal Vessel Segmentation via Reducing Open-set Label Noises from SAM-generated Masks
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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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching Assistant in Circuits and Signals for Biomedical Engineering (BMEG2300)
Undergraduate course, The Chinese University of Hong Kong, Biomedical Engineering, 2024
In this role, I instructed undergraduate students on pivotal mathematical tools for engineering. I taught Laplace transforms, showing how they streamline transient and linear circuit analysis. For signal processing, I covered Fourier series and Fourier transforms, emphasizing their utility in biomedical signal analysis by transforming time-domain data to the frequency domain. Through hands-on tutorials, I helped students apply these concepts to practical engineering problems.
Teaching Assistant in Complex Analysis and Differential Equations (BMEG2410)
Undergraduate course, The Chinese University of Hong Kong, Biomedical Engineering, 2025
My responsibilities centered on instructing undergraduates in partial differential equations (PDEs). I elucidated key concepts, emphasizing their mathematical principles and relevance to engineering. I taught solution techniques for wave and heat equations, simplifying derivations under diverse conditions. Through discussions and problem-solving, students applied these methods to biomedical engineering scenarios, enhancing their PDE problem-solving skills.