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


Featured Publications LegendFeatured Publications

Boosting radiotherapy dose calculation accuracy with deep learning
Xing Y, Zhang Y, Nguyen D, Lin MH, Lu W, Jiang S J Appl Clin Med Phys 2020 21 8 149-159
Development of a real-time indoor location system using bluetooth low-energy technology and deep learning to facilitate clinical applications
Tang G, Yan Y, Shen C, Jia X, Zinn M, Trivedi Z, Yingling A, Westover K, Jiang S Med Phys 2020 47 8 3277-3285
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy
Nguyen D, McBeth R, Sadeghnejad Barkousaraie A, Bohara G, Shen C, Jia X, Jiang S Med Phys 2020 47 3 837-849
Technical note: a feasibility study on deep learning-based radiotherapy dose calculation
Xing Y, Nguyen D, Lu W, Yang M, Jiang S Med Phys 2020 47 2 753-758
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations.
Barragán-Montero AM, Nguyen D, Lu W, Lin M, Norouzi-Kandalan R, Geets X, Sterpin E, Jiang S, Med Phys 2019 May
Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy.
Liang X, Chen L, Nguyen D, Zhou Z, Gu X, Yang M, Wang J, Jiang SB, Phys Med Biol 2019 May
Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network.
Zhong Y, Vinogradskiy Y, Chen L, Myziuk N, Castillo R, Castillo E, Guerrero T, Jiang S, Wang J Med Phys 2019 Feb
Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning.
Iqbal Z, Nguyen D, Hangel G, Motyka S, Bogner W, Jiang S, Front Oncol 2019 9 1010
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
Nguyen D, Long T, Jia X, Lu W, Gu X, Iqbal Z, Jiang S Sci Rep 2019 9 1 1076
Three-dimensional radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
Nguyen D, Jia X, Sher D, Lin MH, Iqbal Z, Liu H, Jiang SB Phys Med Biol 2019


Featured Books Legend Featured Books

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
  • Elected Fellow, American Association of Physicists in Medicine
  • Regional Health Care Innovation Challenge Awards, Southern California Healthcare Technology Acceleration Program
  • Finalist for the Health Care Champion Award in Health Care Innovation & Research, San Diego Business Journal
  • Fellow, The Institute of Physics, England
  • Post-doctoral Traineeship Award, US Department of Defense Breast Cancer Research Program
  • Resident Clinical/Basic Science Research Award, The American Society for Therapeutic Radiology and Oncology