Biography

Xinran Zhong, Ph.D., received her B.S. in biomedical engineering from Tsinghua University in Beijing, China, in 2014, and her Ph.D. in medical physics from the University of California in Los Angeles in 2019. In 2022, she completed the Medical Physics Residency program in the Department of Radiation Oncology at UT Southwestern Medical Center before joining the department as an assistant professor.

Research Interest

  • Adaptive and personalized radiation therapy
  • Automation and artificial intelligence in modern radiation therapy
  • MRI imaging in radiation therapy

Publications

Deep learning based automatic segmentation of the Internal Pudendal Artery in definitive radiotherapy treatment planning of localized prostate cancer
Balagopal A, Dohopolski M, Suk Kwon Y, Montalvo S, Morgan H, Bai T, Nguyen D, Liang X, Zhong X, Lin MH, Desai N, Jiang S Physics and Imaging in Radiation Oncology 2024 Apr 30
Optimizing Online Adaptation Timing in the Treatment of Locally Advanced Cervical Cancer
Yen A, Zhong X, Lin MH, Nwachukwu C, Albuquerque K, Hrycushko B Practical Radiation Oncology 2024 Mar 14 e159-e164
Improved Dosimetry with Daily Online Adaptive Radiotherapy for Cervical Cancer: Waltzing the Pear
Yen A, Zhong X, Lin M, Nwachukwu C, Albuquerque K, Hrycushko B Clinical Oncology 2024 Mar 36 165-172
The accuracy of artificial intelligence deformed nodal structures in cervical online cone-beam-based adaptive radiotherapy
Wang E, Yen A, Hrycushko B, Wang S, Lin J, Zhong X, Dohopolski M, Nwachukwu C, Iqbal Z, Albuquerque K Physics and Imaging in Radiation Oncology 2024 Jan 29
In Silico Analysis of Adjuvant Head and Neck Online Adaptive Radiation Therapy
All S, Zhong X, Choi B, Kim JS, Zhuang T, Avkshtol V, Sher D, Lin MH, Moon DH Advances in Radiation Oncology 2024 Jan 9
Clinical experience on patient-specific quality assurance for CBCT-based online adaptive treatment plan
Shen C, Chen L, Zhong X, Gonzalez Y, Visak J, Meng B, Inam E, Parsons D, Godley A, Jiang S, Cai B, Lin MH Journal of applied clinical medical physics 2023 Apr 24
Site-agnostic 3D dose distribution prediction with deep learning neural networks
Mashayekhi M, Tapia IR, Balagopal A, Zhong X, Barkousaraie AS, McBeth R, Lin MH, Jiang S, Nguyen D Medical physics 2022 Mar 49 1391-1406
An Automatic Deep Learning–Based Workflow for Glioblastoma Survival Prediction Using Preoperative Multimodal MR Images: A Feasibility Study
Fu J, Singhrao K, Zhong X, Gao Y, Qi SX, Yang Y, Ruan D, Lewis JH Advances in Radiation Oncology 2021 Sep 6
Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3-T Multiparametric Magnetic Resonance Imaging
Cao R, Zhong X, Afshari S, Felker E, Suvannarerg V, Tubtawee T, Vangala S, Scalzo F, Raman S, Sung K Journal of Magnetic Resonance Imaging 2021 Aug 54 474-483
Prospective study of artificial intelligence-based decision support to improve head and neck radiotherapy plan quality
Sher DJ, Godley A, Park Y, Carpenter C, Nash M, Hesami H, Zhong X, Lin MH Clinical and Translational Radiation Oncology 2021 Jul 29 65-70

Honors & Awards

  • Magna Cum Laude Merit Award
    International Society for Magnetic Resonance in Medicine (2017)
  • Educational Stipend Award
    International Society for Magnetic Resonance in Medicine (2015-2017)
  • Academic Scholarship of Tsinghua University
    (2012)

Professional Associations/Affiliations

  • American Association of Physicists in Medicine (2018)
  • American Society for Radiation Oncology (2021)