Minghui Zhang 张明辉

minghuizhang.jpg

PhD student @ IMR, SJTU

minghuizhang [at] sjtu [dot] edu [dot] cn

I am a Ph.D. candidate at the Institute of Medical Robotics, Shanghai Jiao Tong University, supervised by Prof. Yun Gu and Prof. Guang-Zhong Yang.

Before coming to SJTU, I earned a bachelor’s degree in Automation from Southeast University, graduating as an outstanding graduate, under the supervision of Prof. Hong Pan. I also interned at the Hospital for Skin Diseases, Chinese Academy of Medical Sciences, supervised by Prof. Siyu Xia. We built a large pixel-annotated vitiligo dataset collected by wood lamp and developed the quantification pipeline for supporting diagnosis and follow-up research.

I previously collaborated with
Dr. Puyang Wang, Dr. Dakai Jin, and Prof. Le Lu of the DAMO Academy on topology-guided pulmonary airway modeling. Meanwhile, I have also had the opportunity to collaborate with Dr.Kaiyuan Yang from the Department of Quantitative Biomedicine at the University of Zurich, led by Prof. Bjoern Menze , on exploring the Circle of Willis in the brain.

My research focuses on AI for Medical Imaging and AI for Healthcare, with a particular emphasis on advancing medical robotics for preoperative planning, intraoperative navigation, and intelligent surgical decision support. Our goal is to develop intelligent systems that enhance surgical precision, reduce procedure times, and improve patient safety.

news

Jul 2025 Benchmarking the CoW with the TopCoW Challenge has been updated, welcome to follow!
Jun 2025 Start the internship in Shanghai Artificial Intelligence Laboratory, supervised by Prof. Yihao Liu.
Jun 2025 Awarded the Grand Prize in the algorithm challenge organized by ZTE Corporation (rank 1/20,000+, 250,000 RMB).
May 2025 Our co-organized MICCAI 2025 TopBrain Challenge is now open for registration. We warmly welcome you to join and participate!
May 2025 One co-author paper is accepted by MICCAI 2025!

selected publications

  1. Arxiv
    AirwayNet.png
    AirwayNet: Constructing Fine-Grained Airway Atlases
    Minghui Zhang, Chenyu Li, Fangfang Xie, Yaoyu Liu, Hanxiao Zhang, Junyang Wu, Chunxi Zhang, Jie Yang, Jiayuan Sun, Guang-Zhong Yang, and Yun Gu
    Nature Biomedical Engineering (Under Review), 2025
  2. MedIA
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    Multi-site, multi-domain airway tree modeling
    Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, others, Jiayuan Sun, Guang-Zhong Yang, and Yun Gu
    Medical image analysis, 2023
  3. IEEE JBHI
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    Towards connectivity-aware pulmonary airway segmentation
    Minghui Zhang and Yun Gu
    IEEE Journal of Biomedical and Health Informatics, 2023
  4. Medical Physics
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    Progressive attention module for segmentation of volumetric medical images
    Minghui Zhang, Hong Pan, Yaping Zhu, and Yun Gu
    Medical Physics, 2022
  5. Arxiv
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    ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure Reconstruction
    Minghui Zhang and Yun Gu
    International Journal of Computer Assisted Radiology and Surgery (Under Review), 2025
  6. MICCAI
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    Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures
    Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, and Yun Gu
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
  7. MICCAI
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    CFDA: collaborative feature disentanglement and augmentation for pulmonary airway tree modeling of COVID-19 CTs
    Minghui Zhang, Hanxiao Zhang, Guang-Zhong Yang, and Yun Gu
    In International conference on medical image computing and computer-assisted intervention, 2022
  8. MICCAI Workshop
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    Fda: Feature decomposition and aggregation for robust airway segmentation
    Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, and Yun Gu
    In Domain Adaptation and Representation Transfer @ MICCAI, MICCAI Workshop, 2021
  9. Arxiv
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    Shape-aware Sampling Matters in the Modeling of Multi-Class Tubular Structures
    Minghui Zhang, Yaoyu Liu, Xin You, Hanxiao Zhang, and Yun Gu
    Arxiv, Under review, 2025
  10. MedIA
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    Trustworthy learning with (un) sure annotation for lung nodule diagnosis with CT
    Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, and Guang-Zhong Yang
    Medical Image Analysis, 2023
  11. MedIA
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    Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
    Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N Felder, Sheng Zhang, others, Minghui Zhang, Yun Gu, Hanxiao Zhang, others, Athol Wells, Simon LF Walsh, and Guang Yang
    Medical Image Analysis, 2024
  12. MedIA
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    Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
    Muhammad Imran, Jonathan R Krebs, Vishal Balaji Sivaraman, Teng Zhang, others, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, others, Michol A Cooper, and Wei Shao
    Medical Image Analysis (Under Review), 2025
  13. Arxiv
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    Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
    Kaiyuan Yang, Fabio Musio, Yihui Ma, others, Minghui Zhang, Xin You, Hanxiao Zhang, Guang-Zhong Yang, Yun Gu, others, Sven Hirsch, Susanne Wegener, and Bjoern Menze
    Arxiv, 2025
  14. IEEE TMI
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    Accurate airway tree segmentation in ct scans via anatomy-aware multi-class segmentation and topology-guided iterative learning
    Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge, Yun Gu, Le Lu, Xianghua Ye, and Dakai Jin
    IEEE transactions on medical imaging, 2024
  15. IEEE JBHI
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    SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
    Xin You, Yixin Lou, Minghui Zhang, Jie Yang, and Yun Gu
    IEEE Journal of Biomedical and Health Informatics, 2025
  16. MICCAI
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    Semantic difference guidance for the uncertain boundary segmentation of CT left atrial appendage
    Xin You, Ming Ding, Minghui Zhang, Yangqian Wu, Yi Yu, Yun Gu, and Jie Yang
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
  17. MICCAI
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    Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
    Xin You, Minghui Zhang, Hanxiao Zhang, Jie Yang, and Nassir Navab
    2025
  18. IJCARS
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    LTSP: long-term slice propagation for accurate airway segmentation
    Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, and Yun Gu
    International Journal of Computer Assisted Radiology and Surgery, 2022
  19. IJCARS
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    Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis
    Hanxiao Zhang, Minghui Zhang, Yun Gu, and Guang-Zhong Yang
    International Journal of Computer Assisted Radiology and Surgery, 2023
  20. IJCARS
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    Reflecting topology consistency and abnormality via learnable attentions for airway labeling
    Chenyu Li, Minghui Zhang, Chuyan Zhang, and Yun Gu
    International Journal of Computer Assisted Radiology and Surgery, 2025
  21. MEBLA
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    LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
    Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann LaCasce, others, Hanxiao Zhang, Minghui Zhang, Yun Gu, Guang-Zhong Yang, Gordon Harris, Ron Kikinis, and Tina Kapur
    Machine Learning for Biomedical Imaging, 2024