Dan Nguyen, Ph.D.
Associate Professor
School Medical School
Department Radiation Oncology
Graduate Programs Biomedical Engineering
Biography
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
- 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
- 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
- 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
Professional Associations/Affiliations
- American Association of Physicists in Medicine (2013)