Professor
Medical Physicist
Education
- PhD (Biomedical Engineering) Case Western Reserve University (2001)
- Postdoctoral Fellowship (Medical Physics) Stanford University (2003)
- MS (Biophysics) Chinese Academy of Sciences (1997)
- BS (Applied Physics) Tsinghua University (1994)
Board Certification
- Therapeutic Radiological Physics (The American Board of Radiology) 2006
Honors and Awards
- AAPM Grand Challenge “The Open Knowledge-Based Planning Challenge,” # 5 out of 100, 2020
- The Science Council Award, American Association of Physics in Medicine, 2017
- Best Protocol Development Award, 2017 IBPRO (Integrated course in Biology and Physics of Radiation Oncology)
- The Chaney Award for Excellence in Physics Research, Department of Radiation Oncology, UNC Chapel Hill, 2014
- Editor’s pick, Medical Physics Journal, 2013
- Top 10 most downloaded paper of Journal of Physiology, 2004
- Whitaker Foundation Fellowship, 1997-2000
- “Di Au” Graduates’ thesis competition of Chinese Academy of Sciences, 2nd place, 1997
- Excellent Graduate Scholarship, Chinese Academy of Sciences, 1995
Research Expertise
- Image segmentation and registration
- Machine learning application in radiation oncology
- IMRT/VMAT optimization
- Image-guided and adaptive radiotherapy
Grants (Active)
- “Impact and Compensation of Intrafractional Motion for Tomotherapy Sterotactic Body Radiaotherapy Treatment (SBRT)”, Accuray, 027214, 2017-2018. Principal Investigator
- “Automatic pelvic organ delineation in prostate cancer treatment”, NIH 1R01CA206100, 2018-2023. Principal Investigator
Books/Chapters
- J. Lian, L.B. Marks, “Adaptive Radiation Therapy for Lung Cancer,” in Adaptive Radiation Therapy, page 293-311, edited by A.X. Li (CRC Press, 2011).
- Y. Gao, Y. Shi, S. Liao, J. Lian*, D. Shen, “Image-Guided Radiotherapy with Machine Learning,” in Machine Learning in Radiation Oncology: Theory and Applications, page 157-192, edited by Issam El Naqa, Ruijiang Li and Martin J. Murphy (* senior author, Springer International Publishing, 2015).
