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

Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).
Shao HC, Li T, Dohopolski MJ, Wang J, Cai J, Tan J, Wang K, Zhang Y, Phys Med Biol 2022 06 67 13
Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling.
Shao HC, Wang J, Bai T, Chun J, Park JC, Jiang SB, Zhang Y, Phys Med Biol 2022 Apr

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)