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Weiguo Lu, Ph.D.

Weiguo Lu, Ph.D.

Titles and Appointments

Professor

School
Medical School
Department
Radiation Oncology
Graduate Programs
Biomedical Engineering
  • Biography

    Weiguo Lu, Ph.D., is a Professor of Radiation Oncology at UT Southwestern Medical Center, where he is part of the Department of Radiation Oncology’s Division of Medical Physics and Engineering.

    Dr. Lu earned his bachelor’s and master’s degrees in nuclear physics from Peking University, China. He also earned two master’s degrees in medical physics and computer science from the University of Wisconsin-Madison, followed by a Ph.D. in medical physics from the same institution. He subsequently worked at TomoTherapy Inc., starting as a medical physicist and ultimately becoming their Director of Innovation and Physics. Afterwards, Dr. Lu served as 21st Century Oncology’s Director of research before joining UTSW’s Department of Radiation Oncology in 2014.

    Dr. Lu is a co-founder of Neural Rad LLC as of 2019. He is board-certified by the American Board of Radiology and holds a Texas Medical Board medical physics license.

  • Education
    Graduate School
    Uni of Wisconsin-Madison (2000), Computer Sciences
    Graduate School
    Univ. of Wisconsin-Madison (2000), Medical Physics
    Graduate School
    Uni of Wisconsin-Madison (2001), Philosophy
  • Research Interest
    • Automatic and intelligent quality assurance in radiotherapy
    • Medical image processing
    • Novel image guidance and delivery
    • On-line and real-time radiotherapy planning
  • Publications
    Radiotherapy dose prediction using off-the-shelf segmentation networks: A feasibility study with GammaPod planning
    Wang Q, Chen M, Kazemimoghadam M, Yang Z, Zhang K, Gu X, Lu W Medical physics 2025 May 52 3348-3359
    Patient-specific MRI super-resolution via implicit neural representations and knowledge transfer
    Li Y, Liao YP, Wang J, Lu W, Zhang Y Physics in medicine and biology 2025 Apr 70
    Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework
    Zhao H, Wang B, Mistry D, Wang J, Dohopolski M, Yang D, Lu W, Jiang S, Nguyen D Machine Learning: Science and Technology 2025 Mar 6
    Assessing population-based to personalized planning strategies for head and neck adaptive radiotherapy
    Visak J, Liao CY, Zhong X, Wang B, Domal S, Wang HJ, Maniscalco A, Pompos A, Nyguen D, Parsons D, Godley A, Lu W, Jiang S, Moon D, Sher D, Lin MH Journal of applied clinical medical physics 2025 Mar 26
    Deep learning-based overall survival prediction in patients with glioblastoma: An automatic end-to-end workflow using pre-resection basic structural multiparametric MRIs
    Yang Z, Zamarud A, Marianayagam NJ, Park DJ, Yener U, Soltys SG, Chang SD, Meola A, Jiang H, Lu W, Gu X Computers in Biology and Medicine 2025 Feb 185
    Automatic, machine-agnostic, convolution-based beam, and fluence modeling for Monte Carlo independent dose calculation
    Chen M, Lin J, Park Y, Lin M, Pompos A, Godley A, Lu W Medical physics 2025
    A segment anything model-guided and match-based semi-supervised segmentation framework for medical imaging
    Xu G, Qian X, Shao HC, Luo J, Lu W, Zhang Y Medical physics 2025
    Histogram matching-enhanced adversarial learning for unsupervised domain adaptation in medical image segmentation
    Qian X, Shao HC, Li Y, Lu W, Zhang Y Medical physics 2025
    Adaptive wavelet-VNet for single-sample test time adaptation in medical image segmentation
    Qian X, Lu W, Zhang Y Medical physics 2024 Dec 51 8865-8881
    Motion analysis comparing surface imaging and diaphragm tracking on kV projections for deep inspiration breath hold (DIBH)
    Chen M, Chiu T, Timmerman R, Gu X, Lu W, Parsons D, Folkert MR, Gu X Physica Medica 2024 Sep 125
  • Honors & Awards
    • AAPM/RSNA Doctoral and Masters Graduate Fellowship
      Mentor (2024)
    • ASTRO Junior Investigator Basic Translational Award
      Mentor (2024)
    • Elected AAPM Fellow
      (2024)
    • AAPM Seed Grant
      Mentor (2023)
    • AAPM, Best in Physics
      Senior author (2023)
    • Third place in HECKTOR grand challenge
      (2022)
    • ASTRO, Best in Physics
      Senior author (2021)
    • AAPM, Best in Physics
      Senior author (2019)
    • AAPM, Best in Physics
      Senior author (2017)
    • ICCR, Young Investigator Competition finalist
      (2000)
    • AAPM, Young Investigator Competition finalist
      (1999)
  • Professional Associations/Affiliations
    • American Association of Physicists in Medicine
    • American Society for Radiation Oncology
    • IEEE Engineering in Medicine and Biology Society