Ying Zhang, Ph.D. Assistant Professor School Medical School Department Radiation Oncology Biography Ying Zhang, Ph.D., DABR, is an Assistant Professor of Radiation Oncology at UT Southwestern Medical Center. She is part of the Department of Radiation Oncology’s Division of Medical Physics & Engineering. Before joining UT Southwestern, Dr. Zhang worked as an Assistant Professor and therapeutic medical physicist at Medical College of Wisconsin’s Department of Radiation Oncology. She is board certified in therapeutic medical physics by the American Board of Radiology. Dr. Zhang earned her Ph.D. in biomedical engineering from Tianjin University, China. During her Ph.D. studies, she attended Yale University’s Therapeutic Radiology Department as a Ph.D. exchange student. Following her doctoral studies, Dr. Zhang completed her medical physics postdoctoral fellow and residency training at Medical College of Wisconsin. Dr. Zhang’s research focuses on using artificial intelligence techniques to accelerate the process of MRI-guided adaptive radiotherapy. Her work includes developing automatic contour quality management methods, including a self-guided interactive contouring tool, automatic contour QA and correction methods, and deep learning-based fast daily adaptive deliverable plan prediction. Her research efforts have resulted in the publication of numerous peer-reviewed papers and have been presented at several national conferences, where she was recognized with multiple prestigious awards. Research Interest Artificial intelligence in radiation therapy Real-time and online adaptive radiotherapy Using AI techniques to accelerate the process of MRI-guided adaptive radiotherapy (MRgART) Publications Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy Ding J, Zhang Y, Amjad A, Sarosiek C, Dang NP, Zarenia M, Li XA Physics in medicine and biology 2023 Mar 68 Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study Buchanan L, Hamdan S, Zhang Y, Chen X, Li XA Frontiers in Oncology 2023 Jan 13 Auto-detection of necessity for MRI-guided online adaptive replanning using a machine learning classifier Parchur AK, Lim S, Nasief HG, Omari EA, Zhang Y, Paulson ES, Hall WA, Erickson B, Li XA Medical physics 2023 Jan 50 440-448 Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs Amjad A, Xu J, Thill D, Zhang Y, Ding J, Paulson E, Hall W, Erickson BA, Li XA Frontiers in Oncology 2023 13 Predicting necessity of daily online adaptive replanning based on wavelet image features for MRI guided adaptive radiation therapy Nasief HG, Parchur AK, Omari E, Zhang Y, Chen X, Paulson E, Hall WA, Erickson B, Li XA Radiotherapy and Oncology 2022 Nov 176 165-171 A Prior Knowledge-Guided, Deep Learning-Based Semiautomatic Segmentation for Complex Anatomy on Magnetic Resonance Imaging Zhang Y, Liang Y, Ding J, Amjad A, Paulson E, Ahunbay E, Hall WA, Erickson B, Li XA International Journal of Radiation Oncology Biology Physics 2022 Oct 114 349-359 Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy Ding J, Zhang Y, Amjad A, Xu J, Thill D, Li XA Advances in Radiation Oncology 2022 Sep 7 Multi-parametric magnetic resonance imaging for radiation treatment planning Omari EA, Zhang Y, Ahunbay E, Paulson E, Amjad A, Chen X, Liang Y, Li XA Medical physics 2022 Apr 49 2836-2845 A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging–Guided Online Adaptive Radiation Therapy: A Feasibility Study Zhang Y, Paulson E, Lim S, Hall WA, Ahunbay E, Mickevicius NJ, Straza MW, Erickson B, Li XA Advances in Radiation Oncology 2020 Nov 5 1350-1358 Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks Liang Y, Schott D, Zhang Y, Wang Z, Nasief H, Paulson E, Hall W, Knechtges P, Erickson B, Li XA Radiotherapy and Oncology 2020 Apr 145 193-200 Results 1-10 of 12 1 2 Next Last Honors & Awards Basic Translational Science AwardPhysics, Senior Author, ASTRO (2024) Best of Physics AbstractCo-author, ASTRO (2023) Basic Translational Science Award, ClinicalFirst author, ASTRO (2021) Basic Translational Science Award, PhysicsCo-author, ASTRO (2021) Best of Physics AbstractFirst author, ASTRO (2019) Travel Award, Physics CategoryFirst author, ASTRO (2018) Professional Associations/Affiliations American Association of Physicists in Medicine (AAPM) American Society for Radiation Oncology (ASTRO)