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Steve Jiang, Ph.D.

Steve Jiang, Ph.D.

Vice Chair, Digital Health & Ai; Division Chief, Medical Physics & Engineering

Professor

Endowed Title
Barbara Crittenden Professorship in Cancer Research
School
Medical School
Department
Radiation Oncology
Graduate Programs
Biomedical Engineering
  • Biography
  • Education
    Undergraduate
    Sichuan University (1990), Theoretical Physics
    Graduate School
    Sichuan University (1993), Physics
    Graduate School
    Medical College of Ohio-Toledo (1998), Medical Physics
  • Research Interest
    • Artificial intelligence in medicine
    • GPU and cloud based automated treatment planning
    • On-line re-planning for adaptive radiotherapy
  • Publications
    Multimodal radiotherapy dose prediction using a multi-task deep learning model
    Maniscalco A, Mathew E, Parsons D, Visak J, Arbab M, Alluri P, Li X, Wandrey N, Lin MH, Rahimi A, Jiang S, Nguyen D Medical physics 2024 Jun 51 3932-3949
    An AI-based approach for modeling the synergy between radiotherapy and immunotherapy
    Peng H, Moore C, Zhang Y, Saha D, Jiang S, Timmerman R Scientific reports 2024 Apr 14 8250
    Deep learning based automatic segmentation of the Internal Pudendal Artery in definitive radiotherapy treatment planning of localized prostate cancer
    Balagopal A, Dohopolski M, Suk Kwon Y, Montalvo S, Morgan H, Bai T, Nguyen D, Liang X, Zhong X, Lin MH, Desai N, Jiang S Physics and Imaging in Radiation Oncology 2024 Apr 30
    Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models
    Li Y, Shao HC, Liang X, Chen L, Li R, Jiang S, Wang J, Zhang Y IEEE Transactions on Medical Imaging 2024 Mar 43 980-993
    Simulation and pre-planning omitted radiotherapy (SPORT): a feasibility study for prostate cancer
    Zhuang T, Parsons D, Desai N, Gibbard G, Keilty D, Lin MH, Cai B, Nguyen D, Chiu T, Godley A, Pompos A, Jiang S Biomedical Physics and Engineering Express 2024 Mar 10
    ART2Dose: A comprehensive dose verification platform for online adaptive radiotherapy
    Lin J, Chen M, Lai Y, Trivedi Z, Wu J, Foo T, Gonzalez Y, Reynolds Jr. RR, Park C, Yan Y, Godley A, Jiang S, Jia X, Lin MH, Pompos A, Lu W Medical physics 2024 Jan 51 18-30
    Rethinking the potential role of dose painting in personalized ultra-fractionated stereotactic adaptive radiotherapy
    Peng H, Deng J, Jiang S, Timmerman R Frontiers in Oncology 2024 14
    Bony structure enhanced synthetic CT generation using Dixon sequences for pelvis MR-only radiotherapy
    Liang X, Yen A, Bai T, Godley A, Shen C, Wu J, Meng B, Lin MH, Medin P, Yan Y, Owrangi A, Desai N, Hannan R, Garant A, Jiang S, Deng J Medical physics 2023 Dec 50 7368-7382
    Single patient learning for adaptive radiotherapy dose prediction
    Maniscalco A, Liang X, Lin MH, Jiang S, Nguyen D Medical physics 2023 Dec 50 7324-7337
    Real-time liver motion estimation via deep learning-based angle-agnostic X-ray imaging
    Shao HC, Li Y, Wang J, Jiang S, Zhang Y Medical physics 2023 Nov 50 6649-6662
  • Books

    Featured 

    Graphics Processing Unit-Based High Performance Computing in Radiation Therapy

    Xun Jia and Steve Jiang (Ed.) (2015). Boca Raton, London, New York, CRC Press

  • Honors & Awards
    • Elected Fellow, American Institute for Medical & Biological Engineering (AIMBE) College of Fellows, Class of 2022
      (2022)
    • Elected Fellow, American Association of Physicists in Medicine
      (2012)
    • Regional Health Care Innovation Challenge Awards, Southern California Healthcare Technology Acceleration Program
      (2011)
    • Finalist for the Health Care Champion Award in Health Care Innovation & Research, San Diego Business Journal
      (2010)
    • Fellow, The Institute of Physics, England
      (2004)
    • Post-doctoral Traineeship Award, US Department of Defense Breast Cancer Research Program
      (2000)
    • Resident Clinical/Basic Science Research Award, The American Society for Therapeutic Radiology and Oncology
      (2000)