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  • 办公地址：

    Room 234, Pathology Building, Peking University Health Science Center / Room B224, New COE Building, Peking University

  • 联系电话：

    +86-10-82805819

  • 电子邮箱：

    xiezhaoheng@pku.edu.cn

  • 个人网页：

    https://xiezhaoheng.github.io/

XIE Zhaoheng

  • Assistant Professor, Boya Young Scholar
  • Institute of Medical Technology, Peking University Health Science Center/ National Biomedical Imaging Center, College of Future Technology, Peking University (Courtesy Appointment)
  • 个人简介
    The laboratory is dedicated to innovative research in nuclear medicine and molecular imaging. Its core research areas include imaging physics and reconstruction algorithms, quantitative pharmacokinetic modeling and parametric imaging, dosimetry of radiopharmaceuticals and optimization of integrated theranostic strategies, and artificial intelligence-driven multimodal image analysis and clinical decision support. Over the past decade, as a key contributing researcher, Dr. Xie has participated in a series of major research projects, including the development of a small-animal four-modality molecular imaging system, the world’s first total-body PET imaging system (EXPLORER), a dedicated brain PET system for the U.S. BRAIN Initiative (NeuroEXPLORER), and the world’s first total-body high-resolution PET/CT imaging system with DOI capability.

    To date, he has published more than 40 papers in leading international SCI journals, including Nature Communications, IEEE Transactions on Medical Imaging, and Medical Image Analysis, and has delivered more than 10 oral presentations at major international conferences such as SNMMI, EANM, IEEE NSS/MIC, and Fully 3D. He also holds more than 10 patents, including 3 U.S. patents. His work has been featured and reported by major scientific media outlets, including Science (AAAS), Nature News, and NIH.

    Under his supervision, students have received one National Natural Science Foundation Youth Student Basic Research Project award (doctoral student) and two Beijing Natural Science Foundation “Qiyan” awards (undergraduate students). Two students from the group were recognized as “Outstanding Graduates of Beijing,” and one student received the “Outstanding Undergraduate Thesis Award of Peking University.”
  • 所授课程
    Principles and Instrumentation of Medical Imaging I (Required undergraduate course, 3.5 credits)
  • 获奖及荣誉
    Young Investigator Award (1st Place), Society of Nuclear Medicine and Molecular Imaging (SNMMI)

    Henry N. Wagner Best Paper Award

    Fully 3D/SNMMI/IEEE NSS/MIC Travel Award
  • 个人履历
    2022–Present Assistant Professor / Researcher (Tenure-Track), Institute of Medical Technology, Peking University Health Science Center / National Biomedical Imaging Center (Courtesy Appointment), Peking University

    2018–2022 Postdoctoral Researcher, Department of Biomedical Engineering, University of California, Davis
  • 教育背景
    2012–2017 Ph.D. in Biomedical Engineering, Peking University， China

    ​2008–2012 B.Eng. in Electronic Science and Technology, Xi’an Jiaotong University， China
  • 承担项目
    2022–2025 Excellent Young Scientists Fund (Overseas), National Natural Science Foundation of China — Principal Investigator

    2022–2024 Beijing High-Level Precision Disciplines Program — Core Faculty Member

    ​2023–2028 Major Project of the National Natural Science Foundation of China — Project Leader
  • 代表性论文及论著
    1. Ma K†, Cheng F†, Liu W, Shao W, Yang Y, Li N, Meng X*, Xie, Z.* (2026). Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering. Medical Image Analysis, DOI 10.1016/j.media.2026.103997

    2. Shao, W., Chen, Y., Fu, O., Li, T., Yang, Z., Li, N., Han, H., Meng, X.*, and Xie, Z.* (2026). Neural Network Approximation Aided Kinetic Parameter Inference of Compartment Models in Dynamic PET. IEEE Transactions on Radiation and Plasma Medical Sciences, DOI: 10.1109/TRPMS.2026.3660465.

    3. Chen, Y. †, Gao, L. †, Gao, Y., Wang, R., Lian, J., Meng, X., Duan, Y., Chai, L., Han, H., Cheng, Z.*, Xie, Z.* (2025).Modality-projection universal model for comprehensive full-body medical imaging segmentation, Nature Communications 16, 9423 DOI：10.1038/s41467-025-64469.

    4. Chen, Y., Gao,Y., Zhu, L., Shao,W., Lu,Y., Han, H., Xie, Z *, (2024). PCNet: Prior Category Network for CT Universal Segmentation Model. IEEE Transactions on Medical Imaging, DOI：10.1109/TMI.2024.3395349

    5. Tian, Z. †, Zuo, Y. †, Xi, P., Meng, X., Shao W.,, Yang Y.,, Ren, Q., Yu, J.*, Xie, Z.*, (2024). A Novel Relative-Equilibrium Graphical Plot for Rapid Reversible Tracer Studies in Dynamic PET Imaging, Physics in Medicine & Biology, DOI：10.1088/1361-6560/ad62d2