Xinran Zhong, Ph.D.

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.

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

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

• 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)

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