Education

Undergraduate
University of Texas-Austin (2012), Physics
Graduate School
Uni of California (ucla) (2015), Biomedical Engineering
Graduate School
Uni of California (ucla) (2017), Biomedical Engineering

Research Interest

  • Artificial Intelligence
  • Deep Learning
  • Optimization Techniques and Algorithms
  • Radiation Therapy

Publications

Featured Publications LegendFeatured Publications

Technical Note: A feasibility study on deep learning-based radiotherapy dose calculation.
Xing Y, Nguyen D, Lu W, Yang M, Jiang S, Med Phys 2019 Dec
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
Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.
Shen C, Gonzalez Y, Klages P, Qin N, Jung H, Chen L, Nguyen D, Jiang SB, Jia X, Phys Med Biol 2019 Apr
Fully automated organ segmentation in male pelvic CT images.
Balagopal A, Kazemifar S, Nguyen D, Lin MH, Hannan R, Owrangi A, Jiang S Phys Med Biol 2018 Dec 63 24 245015
VMAT optimization with dynamic collimator rotation.
Lyu Q, O'Connor D, Ruan D, Yu V, Nguyen D, Sheng K Med Phys 2018 Apr

Professional Associations/Affiliations

  • American Association of Physicists in Medicine (2013)