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Title
Medical Physicist, Associate Professor
Area of Study/Expertise
Clinical experience in proton therapy, Gamma Knife, brachytherapy, SGRT, equipment calibration, QA, external beam treatment planning/delivery
Email
xw240@cinj.rutgers.edu
Website
My Bibliography

Xiao Wang, PhD

Division of Radiation Physics

Dr. Wang completed her undergraduate studies in Physics at Wuhan University and earned her Ph.D. in Medical Physics from University of Wisconsin-Madison. Her doctoral research focused on developing strain imaging and quantitative ultrasound techniques to assess carotid plaque and evaluating the relationship between plaque vulnerability and cognitive decline. Dr. Wang joined Rutgers as faculty after completing a residency in Therapeutic Medical Physics at Rutgers. As the lead Proton physicist, she is responsible for overseeing the overall quality of the Proton Therapy program. She also initiated and led the implementation of the Surface Guided Radiation Therapy (SGRT) program and the VMAT total body irradiation (TBI) program. In addition, she is actively involved in several specialized clinical programs, including brachytherapy and stereotactic radiosurgery (SRS). Her research focuses on radiological physics, proton therapy, and imaging-based clinical outcome studies, with an emphasis on advancing precision radiation therapy and improving patient care through physics-driven innovation.

 

Awards

  • Best in Physics Award for AAPM 59th Annual Meeting Awarded by AAPM August 2017
  • The 4th Annual Standard Imaging Travel Award for AAPM 55th Annual Meeting Awarded by Standard Imaging Foundation August 2013

 

Publications

1.      Zhang X, Zhang C, Mamidanna S, Zhang Y, Wang X, Yue NJ, Kumar S, Kowzun MJ, Potdevin L, George M, Hathout L, Haffty B, Ohri N; Dosimetric Evaluation of Surface-guided Tatto-free Approach for Right Sided Whole-breast Irradiation; Journal of Applied Clinical Medical Physics, 26(10):e70294, 2025.

2.      Ma C, Wang X, Nie K, Xiong Z, Xu K, Yue N, Zhang Y; Recent Technical Advancements and Clinical Applications of MR-Guided Radiotherapy in Lung Cancer Treatment; Frontiers in Oncology, 15:1622060, 2025.

3.      Xue X, Luan S, Ding Y, Li X, Li D, Wang J, Ma C, Jiang M, Wei W, Wang X; Treatment Plan Complexity Quantification for Predicting Gamma Passing Rates in Patient-Specific Quality Assurance for Stereotactic Volumetric Modulated Arc Therapy; Journal of Applied Clinical Medical Physics, Jun 18:e14432, 2024.

4.      Yan B, Shi J, Xue X, Peng H, Wu A, Wang X, Ma C; Error Detection using a Multi-channel Hybrid Network with a Low-resolution Detector in Patient-specific Quality Assurance; Journal of Applied Clinical Medical Physics, 25(6):e14327, 2024.

5.      Luan S, Ding Y, Wei C, Huang Y, Yuan Z, Quan H, Ma C, Zhu B, Xue X, Wei W, Wang X; PRT-Net: A Progressive Refinement Transformer for Dose Prediction to Guide Ovarian Transposition; Frontiers in Oncology, 14: 1372424, 2024.

6.      Luan S, Yu X, Lei S, Ma C, Wang X, Xue X, Ding Y, Ma T, Zhu B; Deep Learning for Fast Super-resolution Ultrasound Microvessel Imaging; Physics in Medicine and Biology, 68(24), doi: 10.1088/1361-6560/ad0a5a, 2023.

7.      Luan S, Wei C, Ding Y, Xue X, Wei W, Yu X, Wang X, Ma C, Zhu B; PCG-Net: Feature Adaptive Deep Learning for Automated Head and Neck Organs-at-risk Segmentation; Frontiers in Oncology, 13:1177788, 2023.

8.      Zhang Y, Liu YL, Nie K, Zhou J, Chen Z, Chen JH, Wang X, Kim B, Parajuli R, Mehta RS, Wang M, Su MY; Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification; Academic Radiology, 30 Suppl 2(Suppl 2):S161-S171, 2023.

9.      Chen X, Zhang Y, Zhou J, Wang X, Liu X, Nie K, Lin X, He W, Su MY, Cao G, Wang M; Diagnosis of Architectural Distortion on Digital Breast Tomosynthesis Using Radiomics and Deep Learning; Frontiers in Oncology, 12:991892, 2022.

10.   Cui T, Weiner J, Danish S, Chundury A, Ohri N, Yue N, Wang X, Nie K; Evaluation of Biological Effective Dose in Gamma Knife Staged Stereotactic Radiosurgery for Large Brain Metastases; Frontiers in Oncology, 12:892139, 2022.

11.   Ding Y, Chen Z, Ma P, Ma C, Wang X, Hu D, Li X, Xue X, Wei W, Wang X; Three-dimensional Deep Neural Network for Automatic Delineation of Cervical Cancer in Planning Computed Tomography Images; Journal of Applied Clinical Medical Physics, 23(4):e13566, 2022.

12.   Ding Y, Yang L, Zhou Q, Bi J, Li Y, Pi G, Wei W, Hu D, Rao Q, Li H, Zhao L, Liu A, Du D, Wang X, Zhou X, Han G, Qing K; A Pilot Study of Function-Based Radiation Therapy Planning for Lung Cancer using Hyperpolarized Xenon-129 Ventilation MRI; Journal of Applied Clinical Medical Physics, 23(3):e13502, 2022.

13.   Li Y, Reyhan M, Zhang Y, Wang X, Zhou J, Zhang Y, Yue NJ, Nie K; The Impact of Phantom Design and Material-Dependence on Repeatability and Reproducibility of CT-based Radiomics Features; Medical Physics, 49(3):1648-1659, 2022.

14.   Qing K, Nie K, Liu B, Feng X, Stone JR, Cui T, Zhang Y, Zhu J, Chen Q, Wang X, Zhao L, Parikh S, Mugler JP, Kim S, Weiner J, Yue N, Chundury A; The Impact of Optic Nerve Movement on Intracranial Radiation Treatment; Frontiers in Oncology, 12:803329, 2022.

15.   Cui T, Nie K, Zhu J, Danish S, Weiner J, Chundury A, Ohri N, Zhang Y, Vergalasova I, Yue NJ, Wang X; Clinical Evaluation of the Inverse Planning System Utilized in Gamma Knife Lightning; Frontiers in Oncology, 12:832656, 2022.