School of Medicine


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  • Ruijiang Li

    Ruijiang Li

    Associate Professor of Radiation Oncology (Radiation Physics)

    Current Research and Scholarly InterestsMy lab's research is focused on the development of imaging and molecular biomarkers to improve cancer detection, diagnosis, prognostication, and prediction of therapy response. Our ultimate goal is to translate these biomarkers into clinical practice to guide optimal management and therapeutic decisions for precision cancer medicine.

  • Zhongxiao Li

    Zhongxiao Li

    Postdoctoral Scholar, Radiation Physics

    BioZhongxiao Li is a postdoctoral researcher in Professor Ruijiang Li's lab at Stanford Medicine. His research focuses on computational biology and bioinformatics, particularly the development of deep learning methods for computational pathology and spatial transcriptomics/proteomics. Previously, his work has included developing machine learning models for histopathological image analysis, understanding gene regulation, and analyzing biological sequences.

  • Lianli Liu

    Lianli Liu

    Clinical Assistant Professor, Radiation Oncology - Radiation Physics

    Current Research and Scholarly InterestsAI-driven medical imaging for accelerated imaging speed and improved image quality, including:
    Accelerated imaging for in-treatment patient monitoring and post-treatment patient follow up;
    Functional imaging for treatment response evaluation and prediction.
    Optimizing clinical quality assurance workflow through AI, including:
    Radiation beam data modeling for efficient commissioning;
    Model-based error detection for accurate dosimetry.

  • Xiangde Luo

    Xiangde Luo

    Postdoctoral Scholar, Radiation Physics

    BioXiangde Luo is a postdoctoral researcher in Professor Ruijiang Li’s lab at Stanford Medicine, where he specializes in computational pathology. His work centers on developing AI‑driven methods for imaging biomarker discovery and precision oncology. Previously, he has developed some deep learning models to enable annotation‑efficient learning and advance biomedical image analysis. For a comprehensive overview of my research, please visit my Google Scholar profile: https://scholar.google.com/citations?hl=en&user=dD4HLS4AAAAJ. If you’d like to learn more or discuss potential collaborations, please don’t hesitate to get in touch.