Xinran Zhong, Ph.D.
Assistant Professor
School Medical School
Department Radiation Oncology
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
- 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 MH, 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
- Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer
- Fu J, Zhong X, Li N, Van Dams R, Lewis J, Sung K, Raldow AC, Jin J, Qi XS Physics in medicine and biology 2020 65
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)