Biography

Download Curriculum Vitae

Dan Nguyen, Ph.D., is a scientist with expertise in radiation therapy treatment planning, deep learning, and optimization techniques and algorithms. He completed his Ph.D. in Biomedical Physics in 2017 at the University of California Los Angeles (UCLA), where he worked extensively on 4π Radiotherapy, Fluence Map Optimization, and Direct Aperture Optimization techniques under the guidance and mentorship of Dr. Ke Sheng.

Dr. Nguyen was recruited to the Division of Medical Physics and Engineering, Department of Radiation Oncology at UT Southwestern in 2017 as a faculty member. He was a founding member of the multiple-investigator lab called the Medical Artificial Intelligence and Automation (MAIA) Laboratory, which was focused to innovate, develop, and apply artificial intelligence technologies to empower clinicians—especially those with less experience or limited resources—for improved patient care. He works very closely with Dr. Steve Jiang in researching and applying deep learning technologies to various facets of radiotherapy, including treatment planning, medical imaging, and outcome prediction.

Education

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

Research Interest

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

Publications

Single patient learning for adaptive radiotherapy dose prediction
Maniscalco A, Liang X, Lin M, Jiang S, Nguyen D Medical physics 2023 Dec 50 7324-7337
Intentional deep overfit learning for patient-specific dose predictions in adaptive radiotherapy
Maniscalco A, Liang X, Lin MH, Jiang S, Nguyen D Medical physics 2023 Sep 50 5354-5363
Reinforcement learning for radiation therapy planning and image processing
Nguyen D, Shen C, Jia X, Jiang S 2023 Aug 87-97
Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study
Mashayekhi M, McBeth R, Nguyen D, Yen A, Trivedi Z, Moon D, Avkshtol V, Vo D, Sher D, Jiang S, Lin MH Clinical and Translational Radiation Oncology 2023 May 40
Segmentation by test-time optimization for CBCT-based adaptive radiation therapy
Liang X, Chun J, Morgan H, Bai T, Nguyen D, Park J, Jiang S Medical physics 2023 Apr 50 1947-1961
Recent Advancements of Artificial Intelligence in Particle Therapy
Peng H, Wu C, Nguyen D, Schuemann J, Mairani A, Pu Y, Jiang S IEEE Transactions on Radiation and Plasma Medical Sciences 2023 Mar 7 213-224
Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy
Liang X, Morgan H, Bai T, Dohopolski M, Nguyen D, Jiang S Physics in medicine and biology 2023 Feb 68
Imaged-Based Dose Planning Prediction
Nguyen D 2023 Jan 89-95
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement
Wang A, Bai T, Nguyen D, Jiang S 2023 54-60
Advances in Automated Treatment Planning
Nguyen D, Lin MH, Sher D, Lu W, Jia X, Jiang S Seminars in Radiation Oncology 2022 Oct 32 343-350

Professional Associations/Affiliations

  • American Association of Physicists in Medicine (2013)