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Hua Li, PhD

Assistant Professor of Radiation Oncology

Phone314-362-0129

Emailli.hua@wustl.edu

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Education

  • BS, Electronic and Information Engineering: Huazhong University of Science and Technology, Wuhan, China (1994)
  • PhD, Electronic and Information Engineering: Huazhong University of Science and Technology, Wuhan, China (2001)
  • Medical Physics Residency: Mayo Clinic, Rochester, MN (2010)

Board Certifications

  • Certified by the American Board of Radiology in Diagnostic Medical Physics (2011)
  • Certified by the American Board of Radiology in Nuclear Medical Physics (2013)
  • Certified by the American Board of Radiology in Therapeutic Medical Physics (2015)

Recognition

  • “Best in Physics” Award: American Association of Physicists in Medicine (AAPM) (2016)
  • “Best in Physics” Award: American Association of Physicists in Medicine (AAPM) (2015)
  • “Best in Physics” Award: American Association of Physicists in Medicine (AAPM) (2014)
  • “Trainee Research Prize”: Radiological Society of North America (RSNA) (2009)
  • “Young Investigator” Award, North Central Chapter of the American Association of Physicists in Medicine (NCCAAPM) (2009)
  • “Best Paper” Award, CVBIA workshop of International Conference on Computer Vision (ICCV) (2005)

Biography

Hua Li, PhD, is an assistant professor of radiation oncology. She joined the faculty in 2010 after completing her residency in clinical diagnostic imaging physics at the Mayo Clinic in Rochester, MN. She is certified in Therapeutic, Diagnostic, and Nuclear medical physics by the American Board of Radiology. She has conducted active research in developing advanced machine learning, pattern recognition, and image analysis techniques for applications in radiation therapy and diagnostic imaging. She has published 50+ peer-reviewed papers in leading imaging and medical physics journals, and she also serves as an associate editor and reviewer for several. She is also a member of multiple AAPM task groups and committees.

Research

Dr. Li’s current research interests include the development of advanced image processing, machine learning, and pattern recognition methods for the improvement of medical imaging applications in radiation therapy and diagnostic imaging. Her current research projects include the development and implementation of task-based image quality assessment methodology in radiation therapy, radiomics-based cancer treatment response prediction and assessment, and machine learning-based methods for 3D tumor and critical structure delineation and 4D motion tracking and management.

Publications

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