Xinran Zhongمشاهده پروفایل
استادیار
- Adaptive Radiation Therapy
- Artificial Intelligence in Radiation Oncology
- Cone-Beam CT Guided Re-planning
- +۴ مورد دیگر
Xinran Zhong, Ph.D., is an Assistant Professor in the Department of Radiation Oncology at the University of Texas Southwestern Medical Center in Dallas, Texas. She joined the faculty in 2022 after completing the Medical Physics Residency program at UT Southwestern. Dr. Zhong earned her B.S. in biomedical engineering from Tsinghua University (Beijing, China) in 2014 and her Ph.D. in medical physics from the University of California, Los Angeles in 2019. Her graduate and residency training focused on advanced imaging and computational methods for radiation oncology. Her research program integrates artificial intelligence, deep learning, and imaging physics to advance adaptive radiation therapy. Core themes include: Online adaptive replanning using cone-beam CT. AI-driven automatic segmentation and deformable registration. Personalized treatment planning for head-and-neck, cervical, and prostate cancers. Quality assurance strategies for adaptive workflows. Across 27 peer-reviewed publications (2018-2025), her work demonstrates a consistent trajectory toward clinical translation of AI tools that reduce contouring uncertainty, shorten planning times, and improve dosimetric outcomes. Studies span in silico simulations, prospective clinical registries, and feasibility trials. Dr. Zhong is an active member of professional societies including the American Association of Physicists in Medicine (AAPM) and the American Society for Radiation Oncology (ASTRO). She currently mentors trainees within the Radiation Oncology and Medical Physics Residency programs at UT Southwestern and participates in multidisciplinary tumor boards for head-and-neck, gynecologic, and genitourinary malignancies.









