
Steve Jiang, Ph.D.
Vice Chair, Digital Health & Ai; Division Chief, Medical Physics & Engineering
Professor
Endowed Title Barbara Crittenden Professorship in Cancer Research
School Medical School
Department Radiation Oncology
Graduate Programs Biomedical Engineering
Biography
Education
- Undergraduate
- 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
Publications
Featured 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
Books
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
(2022) - Elected Fellow, American Association of Physicists in Medicine
(2012) - Regional Health Care Innovation Challenge Awards, Southern California Healthcare Technology Acceleration Program
(2011) - Finalist for the Health Care Champion Award in Health Care Innovation & Research, San Diego Business Journal
(2010) - Fellow, The Institute of Physics, England
(2004) - Post-doctoral Traineeship Award, US Department of Defense Breast Cancer Research Program
(2000) - Resident Clinical/Basic Science Research Award, The American Society for Therapeutic Radiology and Oncology
(2000)