Biography

  • Therapeutic Physics Residency, UT Southwestern Medical Center (2018)
  • Ph.D., Duke University, Medical Physics (2015) 
  • B.S., Nanjing University, Physics (2010)

Education

Graduate School
Duke University (2015), Philosophy

Research Interest

  • 3D/4D CT/CBCT reconstruction and analysis
  • 4D MRI reconstruction
  • Artificial intelligence and automation in radiation therapy
  • Biomechanical modeling and finite element analysis
  • Deformable registration and its application in image-guided radiation therapy
  • Radiotherapy dose calculation and plan optimization

Publications

Featured Publications LegendFeatured Publications

Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).
Shao HC, Huang X, Folkert MR, Wang J, Zhang Y, Med Phys 2021 Dec 48 12 7790-7805
Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy.
Chun J, Park JC, Olberg S, Zhang Y, Nguyen D, Wang J, Kim JS, Jiang S, Med Phys 2021 Nov

Books

Featured Books Legend Featured Books

Combined kV/MV imaging and tomosynthesis. In Handbook of 2018 AAPM Summer School: Image Guidance in Radiation Therapy: Techniques, Accuracy, and Limitations

L. Ren, Y. Zhang (2018). Medical Physics Publishing

Kilovoltage and megavoltage x-ray imaging in radiotherapy. In Handbook of X-ray Imaging: Physics and Technology

Y. Zhang, J. Wang (2017). Taylor & Francis

Honors & Awards

  • AAPM Summer School Scholarship
    (2019-2019)
  • AAPM Science Council Associates Mentorship Program
    (2018-2019)
  • AAPM John R. Cameron Young Investigator Competition Finalists
    (2016-2016)
  • ASTRO Basic/Translational Science Abstract Award
    (2016-2016)

Professional Associations/Affiliations

  • ASTRO (2020)
  • IEEE (2020)
  • MICCAI (2020)
  • AAPM Southwest Chapter (2016)
  • AAPM (2011)