Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., University of Virginia 2006
• 

  Previous Appointments & Affiliations

  • Member of the Duke Cancer Institute, Duke Cancer Institute, Institutes and Centers 2015 - 2019
  • Associate Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2014 - 2017
  • Assistant Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2010 - 2013
  • Assistant Professor in the Department of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2009 - 2010
• Research
• 

  Selected Grants

  • Lung Ventilation Mapping Based On Biomechanical Motion Modeling for Radiation Therapy awarded by National Institutes of Health 2019 - 2020
  • Assessing deformable image registration in the lung using hyperpolarized-gas MRI awarded by National Institutes of Health 2016 - 2018
  • Motion Management Using 4D-MRI for Liver Cancer in Radiation Therapy awarded by National Institutes of Health 2013 - 2016
  • Cross-disciplinary Training in Medical Physics awarded by National Institutes of Health 2007 - 2013
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Garrison, William J., Kun Qing, Sina Tafti, John P. Mugler, Y Michael Shim, Jaime F. Mata, Gordon D. Cates, et al. “Highly accelerated dynamic acquisition of 3D grid-tagged hyperpolarized-gas lung images using compressed sensing.” Magn Reson Med 89, no. 6 (June 2023): 2255–63. https://doi.org/10.1002/mrm.29595.
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    • Zhang, Yuan-Peng, Xin-Yun Zhang, Yu-Ting Cheng, Bing Li, Xin-Zhi Teng, Jiang Zhang, Saikit Lam, et al. “Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling.” Mil Med Res 10, no. 1 (May 16, 2023): 22. https://doi.org/10.1186/s40779-023-00458-8.
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    • Dong, Y., J. Zhang, S. Lam, X. Zhang, A. Liu, X. Teng, X. Han, et al. “Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy.” Cancers 15, no. 7 (April 1, 2023). https://doi.org/10.3390/cancers15072032.
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    • Zheng, Xiaoli, Wei Guo, Yunhan Wang, Jiang Zhang, Yuanpeng Zhang, Chen Cheng, Xinzhi Teng, et al. “Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy.” Eur J Med Res 28, no. 1 (March 19, 2023): 126. https://doi.org/10.1186/s40001-023-01041-6.
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    • Zhang, Jiang, Sai-Kit Lam, Xinzhi Teng, Zongrui Ma, Xinyang Han, Yuanpeng Zhang, Andy Lai-Yin Cheung, et al. “Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients.” Radiother Oncol 183 (February 21, 2023): 109578. https://doi.org/10.1016/j.radonc.2023.109578.
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    • Ho, L. M., S. K. Lam, J. Zhang, C. L. Chiang, A. C. Y. Chan, and J. Cai. “Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy.” Cancers 15, no. 4 (February 1, 2023). https://doi.org/10.3390/cancers15041105.
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    • Yang, D., G. Ren, R. Ni, Y. H. Huang, N. F. D. Lam, H. Sun, S. B. N. Wan, et al. “Deep learning attention-guided radiomics for COVID-19 chest radiograph classification.” Quantitative Imaging in Medicine and Surgery 13, no. 2 (February 1, 2023): 572–84. https://doi.org/10.21037/qims-22-531.
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    • Li, Tian, Jihong Wang, Yingli Yang, Carri K. Glide-Hurst, Ning Wen, and Jing Cai. “Multi-parametric MRI for radiotherapy simulation.” Med Phys, January 29, 2023. https://doi.org/10.1002/mp.16256.
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    • Chen, Z., Y. H. Huang, F. M. Kong, W. Y. Ho, G. Ren, and J. Cai. “A super-voxel-based method for generating surrogate lung ventilation images from CT.” Frontiers in Physiology 14 (January 1, 2023). https://doi.org/10.3389/fphys.2023.1085158.
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    • Peng, T., Y. Wu, J. Zhao, C. Wang, J. Wang, and J. Cai. “Ultrasound Prostate Segmentation Using Adaptive Selection Principal Curve and Smooth Mathematical Model.” Journal of Digital Imaging, January 1, 2023. https://doi.org/10.1007/s10278-023-00783-3.
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    • Subashi, Ergys, Li Feng, Yilin Liu, Scott Robertson, Paul Segars, Bastiaan Driehuys, Christopher R. Kelsey, Fang-Fang Yin, Ricardo Otazo, and Jing Cai. “View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic radiotherapy.” Phys Imaging Radiat Oncol 25 (January 2023): 100409. https://doi.org/10.1016/j.phro.2022.12.006.
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    • Sun, H., G. Ren, X. Teng, L. Song, K. Li, J. Yang, X. Hu, et al. “Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification.” Quantitative Imaging in Medicine and Surgery 13, no. 1 (January 1, 2023): 394–416. https://doi.org/10.21037/qims-22-610.
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    • Zhang, J., X. Teng, S. Lam, J. Sun, A. L. Y. Cheung, S. C. Y. Ng, F. K. H. Lee, et al. “Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients.” Cancers 15, no. 1 (January 1, 2023). https://doi.org/10.3390/cancers15010230.
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    • Yang, Y., J. Cai, and D. Cusumano. “Editorial: Personalized radiation therapy: Guided with imaging technologies.” Frontiers in Oncology 12 (December 6, 2022). https://doi.org/10.3389/fonc.2022.1078265.
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    • Lee, W., S. K. Lam, Y. Zhang, R. Yang, and J. Cai. “Review of methodological workflow, interpretation and limitations of nomogram application in cancer study.” Radiation Medicine and Protection 3, no. 4 (December 1, 2022): 200–207. https://doi.org/10.1016/j.radmp.2022.08.004.
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    • Huang, Yu-Hua, Ge Ren, Haonan Xiao, Dongrong Yang, Feng-Ming Spring Kong, Wai Yin Ho, and Jing Cai. “Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy.” Med Phys 49, no. 11 (November 2022): 7237–46. https://doi.org/10.1002/mp.15847.
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    • Peng, T., J. Zhao, Y. Gu, C. Wang, Y. Wu, X. Cheng, and J. Cai. “H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve.” Pattern Recognition 131 (November 1, 2022). https://doi.org/10.1016/j.patcog.2022.108890.
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    • Zhang, Y., D. Yang, S. Lam, B. Li, X. Teng, J. Zhang, T. Zhou, Z. Ma, T. C. Ying, and J. Cai. “Radiomics-Based Detection of COVID-19 from Chest X-ray Using Interpretable Soft Label-Driven TSK Fuzzy Classifier.” Diagnostics 12, no. 11 (November 1, 2022). https://doi.org/10.3390/diagnostics12112613.
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    • Teng, X., J. Zhang, Z. Ma, Y. Zhang, S. Lam, W. Li, H. Xiao, et al. “Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma.” Frontiers in Oncology 12 (October 14, 2022). https://doi.org/10.3389/fonc.2022.974467.
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    • Li, B., X. Zheng, J. Zhang, S. Lam, W. Guo, Y. Wang, S. Cui, et al. “Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients.” Cancers 14, no. 19 (October 1, 2022). https://doi.org/10.3390/cancers14194889.
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    • Li, Cheng, Wen Li, Chenyang Liu, Hairong Zheng, Jing Cai, and Shanshan Wang. “Artificial intelligence in multiparametric magnetic resonance imaging: A review.” Med Phys 49, no. 10 (October 2022): e1024–54. https://doi.org/10.1002/mp.15936.
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    • Lau, Y. C., S. Chen, C. L. Ho, and J. Cai. “Reliability of gradient-based segmentation for measuring metabolic parameters influenced by uptake time on 18F-PSMA-1007 PET/CT for prostate cancer.” Frontiers in Oncology 12 (September 29, 2022). https://doi.org/10.3389/fonc.2022.897700.
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    • Li, B., G. Ren, W. Guo, J. Zhang, S. K. Lam, X. Zheng, X. Teng, et al. “Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients.” Frontiers in Pharmacology 13 (September 19, 2022). https://doi.org/10.3389/fphar.2022.971849.
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    • Ren, G., S. K. Lam, J. Zhang, H. Xiao, A. L. Y. Cheung, W. Y. Ho, J. Qin, and J. Cai. “Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy(Front Oncol., (2021), 11, (644703), 10.3389/fonc.2021.644703).” Frontiers in Oncology 12 (September 5, 2022). https://doi.org/10.3389/fonc.2022.1005287.
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    • Cao, Peng, Zuojun Wang, Chenyang Liu, Tian Li, Edward S. Hui, and Jing Cai. “Motion-resolved and free-breathing liver MRF.” Magn Reson Imaging 91 (September 2022): 69–80. https://doi.org/10.1016/j.mri.2022.05.015.
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    • Zhang, Lei, Fang-Fang Yin, Ke Lu, Brittany Moore, Silu Han, and Jing Cai. “Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric MRI fusion.” Precis Radiat Oncol 6, no. 3 (September 2022): 190–98. https://doi.org/10.1002/pro6.1167.
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    • Peng, T., C. Tang, Y. Wu, and J. Cai. “H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning.” International Journal of Computer Vision 130, no. 8 (August 1, 2022): 1896–1919. https://doi.org/10.1007/s11263-022-01619-3.
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    • Lam, N. F. D., H. Sun, L. Song, D. Yang, S. Zhi, G. Ren, P. H. Chou, et al. “Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.” Quantitative Imaging in Medicine and Surgery 12, no. 7 (July 1, 2022): 3917–31. https://doi.org/10.21037/qims-21-791.
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    • Ni, Ruiyan, Ta Zhou, Ge Ren, Yuanpeng Zhang, Dongrong Yang, Victor C. W. Tam, Wan Shun Leung, Hong Ge, Shara W. Y. Lee, and Jing Cai. “Deep Learning-Based Automatic Assessment of Radiation Dermatitis in Patients With Nasopharyngeal Carcinoma.” Int J Radiat Oncol Biol Phys 113, no. 3 (July 1, 2022): 685–94. https://doi.org/10.1016/j.ijrobp.2022.03.011.
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    • Ren, G., B. Li, S. K. Lam, H. Xiao, Y. H. Huang, A. L. Y. Cheung, Y. Lu, et al. “A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients.” Frontiers in Oncology 12 (July 1, 2022). https://doi.org/10.3389/fonc.2022.883516.
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    • Shao, Hua-Chieh, Tian Li, Michael J. Dohopolski, Jing Wang, Jing Cai, Jun Tan, Kai Wang, and You Zhang. “Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).” Phys Med Biol 67, no. 13 (June 29, 2022). https://doi.org/10.1088/1361-6560/ac762c.
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    • Ku, K. M., B. Lam, V. W. C. Wu, K. T. Chan, C. Y. Y. Chan, H. C. Cheng, K. M. Y. Yuen, and J. Cai. “Clinical Evaluation of Fiducial Marker Pre-Planning for Virtual Bronchoscopic Navigation Implantation in Lung Tumour Patients Treated With CyberKnife.” Frontiers in Oncology 12 (June 16, 2022). https://doi.org/10.3389/fonc.2022.860641.
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    • Teng, Xinzhi, Jiang Zhang, Alex Zwanenburg, Jiachen Sun, Yuhua Huang, Saikit Lam, Yuanpeng Zhang, et al. “Building reliable radiomic models using image perturbation.” Sci Rep 12, no. 1 (June 16, 2022): 10035. https://doi.org/10.1038/s41598-022-14178-x.
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    • Peng, T., C. Tang, Y. Wu, and J. Cai. “Semi-Automatic Prostate Segmentation From Ultrasound Images Using Machine Learning and Principal Curve Based on Interpretable Mathematical Model Expression.” Frontiers in Oncology 12 (June 7, 2022). https://doi.org/10.3389/fonc.2022.878104.
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    • Peng, Tao, Yiyun Wu, Jing Qin, Qingrong Jackie Wu, and Jing Cai. “H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model.” Comput Methods Programs Biomed 219 (June 2022): 106752. https://doi.org/10.1016/j.cmpb.2022.106752.
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    • Wong, K. L., K. H. Cheng, S. K. Lam, C. Liu, and J. Cai. “Review of functional magnetic resonance imaging in the assessment of nasopharyngeal carcinoma treatment response.” Precision Radiation Oncology 6, no. 2 (June 1, 2022): 177–85. https://doi.org/10.1002/pro6.1161.
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    • Xiao, Haonan, Ruiyan Ni, Shaohua Zhi, Wen Li, Chenyang Liu, Ge Ren, Xinzhi Teng, et al. “A dual-supervised deformation estimation model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy.” Med Phys 49, no. 5 (May 2022): 3159–70. https://doi.org/10.1002/mp.15542.
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    • Yue, Meiyan, Xiaoguang Xue, Zhanyu Wang, Ricardo Lewis Lambo, Wei Zhao, Yaoqin Xie, Jing Cai, and Wenjian Qin. “Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy.” Radiother Oncol 170 (May 2022): 198–204. https://doi.org/10.1016/j.radonc.2022.03.012.
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    • Xue, W., T. Zhou, and J. Cai. “Horizontal progressive and longitudinal leapfrogging fuzzy classification with feature activity adjustment.” Applied Soft Computing 119 (April 1, 2022). https://doi.org/10.1016/j.asoc.2022.108511.
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    • Li, Wen, Haonan Xiao, Tian Li, Ge Ren, Saikit Lam, Xinzhi Teng, Chenyang Liu, et al. “Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural Network.” Int J Radiat Oncol Biol Phys 112, no. 4 (March 15, 2022): 1033–44. https://doi.org/10.1016/j.ijrobp.2021.11.007.
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    • Liu, C., M. Li, H. Xiao, T. Li, W. Li, J. Zhang, X. Teng, and J. Cai. “Advances in MRI-guided precision radiotherapy.” Precision Radiation Oncology 6, no. 1 (March 1, 2022): 75–84. https://doi.org/10.1002/pro6.1143.
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    • Wu, Wangjiang, Junda Qu, Jing Cai, and Ruijie Yang. “Multiresolution residual deep neural network for improving pelvic CBCT image quality.” Med Phys 49, no. 3 (March 2022): 1522–34. https://doi.org/10.1002/mp.15460.
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    • Cheung, A. H. Y., V. W. C. Wu, A. L. Y. Cheung, and J. Cai. “Respiratory 4D-Gating F-18 FDG PET/CT Scan for Liver Malignancies: Feasibility in Liver Cancer Patient and Tumor Quantitative Analysis.” Frontiers in Oncology 12 (February 9, 2022). https://doi.org/10.3389/fonc.2022.789506.
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    • Lam, S. K., J. Zhang, Y. Zhang, B. Li, R. Y. Ni, T. Zhou, T. Peng, et al. “A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma.” Life 12, no. 2 (February 1, 2022). https://doi.org/10.3390/life12020241.
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    • Lam, S. K., Y. Zhang, J. Zhang, B. Li, J. C. Sun, C. Y. T. Liu, P. H. Chou, et al. “Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy.” Frontiers in Oncology 11 (January 31, 2022). https://doi.org/10.3389/fonc.2021.792024.
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    • Zhang, Y., S. Lam, T. Yu, X. Teng, J. Zhang, F. K. H. Lee, K. H. Au, C. W. Y. Yip, S. Wang, and J. Cai. “Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma[Formula presented].” Knowledge Based Systems 235 (January 10, 2022). https://doi.org/10.1016/j.knosys.2021.107649.
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    • Cheung, Andy Lai-Yin, Lei Zhang, Chenyang Liu, Tian Li, Anson Ho-Yin Cheung, Chun Leung, Angus Kwong-Chuen Leung, Sai-Kit Lam, Victor Ho-Fun Lee, and Jing Cai. “Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.” Front Oncol 12 (2022): 816678. https://doi.org/10.3389/fonc.2022.816678.
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    • Liu, Q., K. Liu, A. Bolufé-Röhler, J. Cai, and L. He. “Glioma segmentation of optimized 3D U-net and prediction of multi-modal survival time.” Neural Computing and Applications 34, no. 1 (January 1, 2022): 211–25. https://doi.org/10.1007/s00521-021-06351-6.
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    • Lin, H., H. Xiao, L. Dong, K. B. K. Teo, W. Zou, J. Cai, and T. Li. “Deep learning for automatic target volume segmentation in radiation therapy: A review.” Quantitative Imaging in Medicine and Surgery 11, no. 12 (December 1, 2021): 4847–58. https://doi.org/10.21037/qims-21-168.
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    • Ren, G., H. Xiao, S. K. Lam, D. Yang, T. Li, X. Teng, J. Qin, and J. Cai. “Deep learning-based bone suppression in chest radiographs using CT-derived features: A feasibility study.” Quantitative Imaging in Medicine and Surgery 11, no. 12 (December 1, 2021): 4807–19. https://doi.org/10.21037/qims-20-1230.
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    • Xiao, H., X. Teng, C. Liu, T. Li, G. Ren, R. Yang, D. Shen, and J. Cai. “A review of deep learning-based three-dimensional medical image registration methods.” Quantitative Imaging in Medicine and Surgery 11, no. 12 (December 1, 2021): 4895–4916. https://doi.org/10.21037/qims-21-175.
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    • Zhang, Lei, Fang-Fang Yin, Tian Li, Xinzhi Teng, Haonan Xiao, Wendy Harris, Lei Ren, et al. “Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients.” Med Phys 48, no. 12 (December 2021): 7984–97. https://doi.org/10.1002/mp.15314.
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    • Dai, Z., X. Liang, L. Zhu, J. Tan, B. Zhang, W. Jian, X. Zhou, et al. “Deep Learning-Based Automatic Delineation of Target Volumes and Organs at Risk of Breast Cancer for On-Line Dosimetric Evaluation.” International Journal of Radiation Oncology, Biology, Physics 111, no. 3S (November 2021): e109–10. https://doi.org/10.1016/j.ijrobp.2021.07.513.
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    • Huang, Bangyan, Haonan Xiao, Weiwei Liu, Yibao Zhang, Hao Wu, Weihu Wang, Yunhuan Yang, et al. “MRI super-resolution via realistic downsampling with adversarial learning.” Phys Med Biol 66, no. 20 (October 5, 2021). https://doi.org/10.1088/1361-6560/ac232e.
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    • Zhang, Y., and J. Cai. “Fuzzy Clustering Based on Automated Feature Pattern-Driven Similarity Matrix Reduction.” Ieee Transactions on Computational Social Systems 8, no. 5 (October 1, 2021): 1203–12. https://doi.org/10.1109/TCSS.2020.3011471.
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    • Ren, Ge, Jiang Zhang, Tian Li, Haonan Xiao, Lai Yin Cheung, Wai Yin Ho, Jing Qin, and Jing Cai. “Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation.” Int J Radiat Oncol Biol Phys 110, no. 5 (August 1, 2021): 1508–18. https://doi.org/10.1016/j.ijrobp.2021.02.032.
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    • Vergalasova, Irina, Taoran Li, and Jing Cai. “Point/Counterpoint. Universal implementation of automated treatment planning software will be detrimental to future generations of trainees.” Med Phys 48, no. 7 (July 2021): 3409–12. https://doi.org/10.1002/mp.14900.
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    • Chang, Yushi, Zhuoran Jiang, William Paul Segars, Zeyu Zhang, Kyle Lafata, Jing Cai, Fang-Fang Yin, and Lei Ren. “A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantoms.” Phys Med Biol 66, no. 11 (May 31, 2021). https://doi.org/10.1088/1361-6560/ac01b4.
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    • Li, D., D. Ding, S. Wei, W. Chen, T. Li, J. Cai, and H. Ge. “A new approach to spare organs at risk for breast cancer radiotherapy-half field segmented VMAT delivery technique.” Chinese Journal of Radiological Medicine and Protection 41, no. 5 (May 25, 2021): 340–45. https://doi.org/10.3760/cma.j.issn.0254-5098.2021.05.004.
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    • Yoo, D., Y. A. Choi, C. J. Rah, E. Lee, J. Cai, B. J. Min, and E. H. Kim. “Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets.” Frontiers in Oncology 11 (May 11, 2021). https://doi.org/10.3389/fonc.2021.660284.
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    • Li, Tian, Di Cui, Edward S. Hui, and Jing Cai. “Corrigendum: Time-resolved magnetic resonance fingerprinting for radiotherapy motion management.” Med Phys 48, no. 5 (May 2021): 2698. https://doi.org/10.1002/mp.14741.
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    • Li, Tian, Di Cui, Ge Ren, Edward S. Hui, and Jing Cai. “Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting.” Phys Med Biol 66, no. 9 (April 28, 2021). https://doi.org/10.1088/1361-6560/abf51f.
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    • Ren, G., S. K. Lam, J. Zhang, H. Xiao, A. L. Y. Cheung, W. Y. Ho, J. Qin, and J. Cai. “Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy.” Frontiers in Oncology 11 (March 24, 2021). https://doi.org/10.3389/fonc.2021.644703.
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    • Tang, Xingni, Yichao Shen, Yinnan Meng, Liqiao Hou, Chao Zhou, Changhui Yu, Haijian Jia, et al. “Radiation-induced lung damage in patients treated with stereotactic body radiotherapy after EGFR-TKIs: is there any difference from stereotactic body radiotherapy alone?” Ann Palliat Med 10, no. 3 (March 2021): 2832–42. https://doi.org/10.21037/apm-20-1116.
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    • Han, Silu, Xiao Liang, Tian Li, Fang-Fang Yin, and Jing Cai. “Slice-stacking T2-weighted MRI for fast determination of internal target volume for liver tumor.” Quant Imaging Med Surg 11, no. 1 (January 2021): 32–42. https://doi.org/10.21037/qims-20-41.
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    • Li, Dingjie, Shengtao Wei, Tian Li, Yang Liu, Jing Cai, and Hong Ge. “Study of Spinal Cord Substructure Expansion Margin in Esophageal Cancer.” Technol Cancer Res Treat 20 (2021): 15330338211024560. https://doi.org/10.1177/15330338211024559.
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    • Li, Tian, Di Cui, Edward S. Hui, and Jing Cai. “Time-resolved magnetic resonance fingerprinting for radiotherapy motion management.” Med Phys 47, no. 12 (December 2020): 6286–93. https://doi.org/10.1002/mp.14513.
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    • Sarkar, Biplab, Yi-Xiang Wang, and Jing Cai. “The open access financial model hinders the growth of medical physics research in low- and middle-income countries.” Med Phys 47, no. 12 (December 2020): 5972–75. https://doi.org/10.1002/mp.14220.
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    • Xiao, H., G. Ren, and J. Cai. “A review on 3D deformable image registration and its application in dose warping.” Radiation Medicine and Protection 1, no. 4 (December 1, 2020): 171–78. https://doi.org/10.1016/j.radmp.2020.11.002.
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    • Wang, M., Q. Zhang, S. Lam, J. Cai, and R. Yang. “A Review on Application of Deep Learning Algorithms in External Beam Radiotherapy Automated Treatment Planning.” Frontiers in Oncology 10 (October 23, 2020). https://doi.org/10.3389/fonc.2020.580919.
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    • Vergalasova, Irina, and Jing Cai. “A modern review of the uncertainties in volumetric imaging of respiratory-induced target motion in lung radiotherapy.” Med Phys 47, no. 10 (October 2020): e988–1008. https://doi.org/10.1002/mp.14312.
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    • Li, Dingjie, Ru Liu, Shengtao Wei, Tian Li, Jing Cai, and Hong Ge. “Infection prevention and control measures during COVID-19 from medical physics perspective: A single institution experience from China.” J Appl Clin Med Phys 21, no. 7 (July 2020): 221–22. https://doi.org/10.1002/acm2.12889.
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    • Wen, N., Y. Cao, and J. Cai. “Editorial: Magnetic Resonance Imaging for Radiation Therapy.” Frontiers in Oncology 10 (April 15, 2020). https://doi.org/10.3389/fonc.2020.00483.
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    • Tie, Xin, Sai-Kit Lam, Yong Zhang, Kar-Ho Lee, Kwok-Hung Au, and Jing Cai. “Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.” Med Phys 47, no. 4 (April 2020): 1750–62. https://doi.org/10.1002/mp.14062.
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    • Yang, Zi, Lei Ren, Fang-Fang Yin, Xiao Liang, and Jing Cai. “Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study.” Radiation Medicine and Protection 1, no. 1 (March 2020): 41–47. https://doi.org/10.1016/j.radmp.2020.01.003.
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    • Harris, Wendy, Fang-Fang Yin, Jing Cai, and Lei Ren. “Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition.” Quant Imaging Med Surg 10, no. 2 (February 2020): 432–50. https://doi.org/10.21037/qims.2019.12.10.
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    • Jia, Xun, Lei Ren, and Jing Cai. “Clinical implementation of AI technologies will require interpretable AI models.” Med Phys 47, no. 1 (January 2020): 1–4. https://doi.org/10.1002/mp.13891.
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    • Mistro, Matt, Yang Sheng, Yaorong Ge, Chris R. Kelsey, Jatinder R. Palta, Jing Cai, Qiuwen Wu, Fang-Fang Yin, and Q Jackie Wu. “Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.” Front Artif Intell 3 (2020): 66. https://doi.org/10.3389/frai.2020.00066.
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    • Yu, T. T., S. K. Lam, L. H. To, K. Y. Tse, N. Y. Cheng, Y. N. Fan, C. L. Lo, et al. “Pretreatment Prediction of Adaptive Radiation Therapy Eligibility Using MRI-Based Radiomics for Advanced Nasopharyngeal Carcinoma Patients.” Frontiers in Oncology 9 (October 16, 2019). https://doi.org/10.3389/fonc.2019.01050.
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    • Maxim, Peter G., Paul Keall, and Jing Cai. “FLASH radiotherapy: Newsflash or flash in the pan?” Med Phys 46, no. 10 (October 2019): 4287–90. https://doi.org/10.1002/mp.13685.
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    • Liang, Xiao, Fang-Fang Yin, Chunhao Wang, and Jing Cai. “A robust deformable image registration enhancement method based on radial basis function.” Quant Imaging Med Surg 9, no. 7 (July 2019): 1315–25. https://doi.org/10.21037/qims.2019.07.05.
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    • Sun, Duohua, Xiao Liang, Fangfang Yin, and Jing Cai. “Probability-based 3D k-space sorting for motion robust 4D-MRI.” Quant Imaging Med Surg 9, no. 7 (July 2019): 1326–36. https://doi.org/10.21037/qims.2019.07.06.
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    • Hu, Lei, Qijie Huang, Taoran Cui, Isabella Duarte, G Wilson Miller, John P. Mugler, Gordon D. Cates, et al. “A hybrid proton and hyperpolarized gas tagging MRI technique for lung respiratory motion imaging: a feasibility study.” Phys Med Biol 64, no. 10 (May 16, 2019): 105019. https://doi.org/10.1088/1361-6560/ab160c.
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    • Yu, Cedric X., Thomas Bortfeld, and Jing Cai. “In the future, disruptive innovation in radiation oncology technology will be initiated mostly by entrepreneurs.” Med Phys 46, no. 5 (May 2019): 1949–52. https://doi.org/10.1002/mp.13524.
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    • Pan, Yuxi, Ruijie Yang, Shuming Zhang, Jiaqi Li, Jianrong Dai, Junjie Wang, and Jing Cai. “National survey of patient specific IMRT quality assurance in China.” Radiat Oncol 14, no. 1 (April 25, 2019): 69. https://doi.org/10.1186/s13014-019-1273-5.
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    • Zhang, You, Michael R. Folkert, Bin Li, Xiaokun Huang, Jeffrey J. Meyer, Tsuicheng Chiu, Pam Lee, et al. “4D liver tumor localization using cone-beam projections and a biomechanical model.” Radiother Oncol 133 (April 2019): 183–92. https://doi.org/10.1016/j.radonc.2018.10.040.
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    • Kipritidis, John, Bilal A. Tahir, Guillaume Cazoulat, Michael S. Hofman, Shankar Siva, Jason Callahan, Nicholas Hardcastle, et al. “The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging.” Med Phys 46, no. 3 (March 2019): 1198–1217. https://doi.org/10.1002/mp.13346.
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    • Wang, Chunhao, Ergys Subashi, Fang-Fang Yin, Zheng Chang, and Jing Cai. “A Spatiotemporal-Constrained Sorting Method for Motion-Robust 4D-MRI: A Feasibility Study.” Int J Radiat Oncol Biol Phys 103, no. 3 (March 1, 2019): 758–66. https://doi.org/10.1016/j.ijrobp.2018.10.004.
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    • Han, Silu, Fang-Fang Yin, and Jing Cai. “Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI-based liver SBRT treatment planning.” J Appl Clin Med Phys 20, no. 2 (February 2019): 43–50. https://doi.org/10.1002/acm2.12520.
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    • Njeh, Christopher F., Karen C. Snyder, and Jing Cai. “The use of six degrees of freedom couch is only clinically beneficial in stereotactic radio surgery.” Med Phys 46, no. 2 (February 2019): 415–18. https://doi.org/10.1002/mp.13380.
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    • Cui, Taoran, G Wilson Miller, John P. Mugler, Gordon D. Cates, Jaime F. Mata, Eduard E. de Lange, Qijie Huang, Talissa A. Altes, Fang-Fang Yin, and Jing Cai. “An initial investigation of hyperpolarized gas tagging magnetic resonance imaging in evaluating deformable image registration-based lung ventilation.” Med Phys 45, no. 12 (December 2018): 5535–42. https://doi.org/10.1002/mp.13223.
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    • Lafata, Kyle, Jing Cai, Chunhao Wang, Julian Hong, Chris R. Kelsey, and Fang-Fang Yin. “Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.” Phys Med Biol 63, no. 22 (November 8, 2018): 225003. https://doi.org/10.1088/1361-6560/aae56a.
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    • Van den Heuvel, Frank, Qiuwen Wu, and Jing Cai. “In modern linacs monitor units should be defined in water at 10 cm depth rather than at dmax.” Med Phys 45, no. 11 (November 2018): 4789–92. https://doi.org/10.1002/mp.13015.
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    • Harris, Wendy, Chunhao Wang, Fang-Fang Yin, Jing Cai, and Lei Ren. “A Novel method to generate on-board 4D MRI using prior 4D MRI and on-board kV projections from a conventional LINAC for target localization in liver SBRT.” Med Phys 45, no. 7 (July 2018): 3238–45. https://doi.org/10.1002/mp.12998.
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    • Sheng, Ke, Todd Pawlicki, and Jing Cai. “A career path for pure academic medical physicists in radiation oncology should be established.” Med Phys 45, no. 7 (July 2018): 2853–56. https://doi.org/10.1002/mp.12921.
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    • Sawant, Amit, Tokihiro Yamamoto, and Jing Cai. “Treatment planning based on lung functional avoidance is not ready for clinical deployment.” Med Phys 45, no. 6 (June 2018): 2353–56. https://doi.org/10.1002/mp.12881.
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    • Jordan, David W., Jing Cai, and Yi Rong. “CAMPEP graduate program standards should require a dedicated course in Magnetic Resonance Imaging physics.” J Appl Clin Med Phys 19, no. 3 (May 2018): 5–8. https://doi.org/10.1002/acm2.12332.
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    • Xing, Lei, Elizabeth A. Krupinski, and Jing Cai. “Artificial intelligence will soon change the landscape of medical physics research and practice.” Med Phys 45, no. 5 (May 2018): 1791–93. https://doi.org/10.1002/mp.12831.
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    • Segars, W Paul, B. M. W. Tsui, B. M. W. Jing Cai, B. M. W. Fang-Fang Yin, George S. K. Fung, and Ehsan Samei. “Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond.” Ieee Trans Med Imaging 37, no. 3 (March 2018): 680–92. https://doi.org/10.1109/TMI.2017.2738448.
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    • Oellers, Patrick, Yvonne M. Mowery, Bradford A. Perez, Sandra Stinnett, Pradeep Mettu, Lejla Vajzovic, Kim Light, et al. “Efficacy and Safety of Low-Dose Iodine Plaque Brachytherapy for Juxtapapillary Choroidal Melanoma.” Am J Ophthalmol 186 (February 2018): 32–40. https://doi.org/10.1016/j.ajo.2017.11.008.
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    • Chu, Mei-Lan, Hing-Chiu Chang, Hsiao-Wen Chung, Mustafa R. Bashir, Jing Cai, Lei Zhang, Duohua Sun, and Nan-Kuei Chen. “Free-breathing abdominal MRI improved by repeated k-t-subsampling and artifact-minimization (ReKAM).” Med Phys 45, no. 1 (January 2018): 178–90. https://doi.org/10.1002/mp.12674.
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    • Harris, Wendy, Fang-Fang Yin, Chunhao Wang, You Zhang, Jing Cai, and Lei Ren. “Accelerating volumetric cine MRI (VC-MRI) using undersampling for real-time 3D target localization/tracking in radiation therapy: a feasibility study.” Phys Med Biol 63, no. 1 (December 14, 2017): 01NT01. https://doi.org/10.1088/1361-6560/aa9746.
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    • Liu, Yilin, Fang-Fang Yin, Brian G. Czito, Mustafa R. Bashir, Manisha Palta, and Jing Cai. “Retrospective four-dimensional magnetic resonance imaging with image-based respiratory surrogate: a sagittal-coronal-diaphragm point of intersection motion tracking method.” J Med Imaging (Bellingham) 4, no. 2 (April 2017): 024007. https://doi.org/10.1117/1.JMI.4.2.024007.
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    • Liu, Yilin, Xiaodong Zhong, Brian G. Czito, Manisha Palta, Mustafa R. Bashir, Brian M. Dale, Fang-Fang Yin, and Jing Cai. “Four-dimensional diffusion-weighted MR imaging (4D-DWI): a feasibility study.” Med Phys 44, no. 2 (February 2017): 397–406. https://doi.org/10.1002/mp.12037.
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    • Cui, Yunfeng, James Bowsher, Jing Cai, and Fang-Fang Yin. “Impact of moving target on measurement accuracy in 3D and 4D PET imaging-a phantom study.” Adv Radiat Oncol 2, no. 1 (2017): 94–100. https://doi.org/10.1016/j.adro.2016.12.002.
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    • Liang, Xiao, Fang-Fang Yin, Yilin Liu, and Jing Cai. “A probability-based multi-cycle sorting method for 4D-MRI: A simulation study.” Med Phys 43, no. 12 (December 2016): 6375. https://doi.org/10.1118/1.4966705.
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    • Harris, Wendy, Lei Ren, Jing Cai, You Zhang, Zheng Chang, and Fang-Fang Yin. “A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging.” Int J Radiat Oncol Biol Phys 95, no. 2 (June 1, 2016): 844–53. https://doi.org/10.1016/j.ijrobp.2016.02.011.
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    • Susko, Matthew, Oana Craciunescu, Sheridan Meltsner, Yun Yang, Beverly Steffey, Jing Cai, and Junzo Chino. “Vaginal Dose Is Associated With Toxicity in Image Guided Tandem Ring or Ovoid-Based Brachytherapy.” Int J Radiat Oncol Biol Phys 94, no. 5 (April 1, 2016): 1099–1105. https://doi.org/10.1016/j.ijrobp.2015.12.360.
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    • Liu, Yilin, Fang-Fang Yin, DongJoo Rhee, and Jing Cai. “Accuracy of respiratory motion measurement of 4D-MRI: A comparison between cine and sequential acquisition.” Med Phys 43, no. 1 (January 2016): 179. https://doi.org/10.1118/1.4938066.
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    • Liu, Yilin, Fang-Fang Yin, Brian G. Czito, Mustafa R. Bashir, and Jing Cai. “T2-weighted four dimensional magnetic resonance imaging with result-driven phase sorting.” Med Phys 42, no. 8 (August 2015): 4460–71. https://doi.org/10.1118/1.4923168.
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    • Liu, Yilin, Fang-Fang Yin, Nan-kuei Chen, Mei-Lan Chu, and Jing Cai. “Four dimensional magnetic resonance imaging with retrospective k-space reordering: a feasibility study.” Med Phys 42, no. 2 (February 2015): 534–41. https://doi.org/10.1118/1.4905044.
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    • Yang, Juan, Jing Cai, Hongjun Wang, Zheng Chang, Brian G. Czito, Mustafa R. Bashir, Manisha Palta, and Fang-Fang Yin. “Is diaphragm motion a good surrogate for liver tumor motion?” Int J Radiat Oncol Biol Phys 90, no. 4 (November 15, 2014): 952–58. https://doi.org/10.1016/j.ijrobp.2014.07.028.
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    • Boyle, John, Oana Craciunescu, Beverly Steffey, Jing Cai, and Junzo Chino. “Methods, safety, and early clinical outcomes of dose escalation using simultaneous integrated and sequential boosts in patients with locally advanced gynecologic malignancies.” Gynecol Oncol 135, no. 2 (November 2014): 239–43. https://doi.org/10.1016/j.ygyno.2014.08.037.
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    • Liu, Yilin, Fang-Fang Yin, Zheng Chang, Brian G. Czito, Manisha Palta, Mustafa R. Bashir, Yujiao Qin, and Jing Cai. “Investigation of sagittal image acquisition for 4D-MRI with body area as respiratory surrogate.” Med Phys 41, no. 10 (October 2014): 101902. https://doi.org/10.1118/1.4894726.
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    • Perez, Bradford A., Pradeep Mettu, Lejla Vajzovic, Douglas Rivera, Ali Alkaissi, Beverly A. Steffey, Jing Cai, et al. “Uveal melanoma treated with iodine-125 episcleral plaque: an analysis of dose on disease control and visual outcomes.” Int J Radiat Oncol Biol Phys 89, no. 1 (May 1, 2014): 127–36. https://doi.org/10.1016/j.ijrobp.2014.01.026.
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    • Cai, Jing, Harish K. Malhotra, and Colin G. Orton. “Point/Counterpoint. A 3D-conformal technique is better than IMRT or VMAT for lung SBRT.” Med Phys 41, no. 4 (April 2014): 040601. https://doi.org/10.1118/1.4856175.
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    • Yang, Juan, Jing Cai, Hongjun Wang, Zheng Chang, Brian G. Czito, Mustafa R. Bashir, and Fang-Fang Yin. “Four-dimensional magnetic resonance imaging using axial body area as respiratory surrogate: initial patient results.” Int J Radiat Oncol Biol Phys 88, no. 4 (March 15, 2014): 907–12. https://doi.org/10.1016/j.ijrobp.2013.11.245.
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    • Chang, Zheng, John P. Kirkpatrick, Zhiheng Wang, Jing Cai, Justus Adamson, and Fang-Fang Yin. “Evaluating radiation-induced white matter changes in patients treated with stereotactic radiosurgery using diffusion tensor imaging: a pilot study.” Technol Cancer Res Treat 13, no. 1 (February 2014): 21–28. https://doi.org/10.7785/tcrt.2012.500358.
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    • Yang, Yun, Suzanne Catalano, Chris R. Kelsey, David S. Yoo, Fang-Fang Yin, and Jing Cai. “Dosimetric effects of rotational offsets in stereotactic body radiation therapy (SBRT) for lung cancer.” Med Dosim 39, no. 1 (2014): 117–21. https://doi.org/10.1016/j.meddos.2013.11.002.
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    • Boyle, John M., Oana Craciunescu, Beverley Steffey, Jing Cai, and Junzo Chino. “Body mass index, dose to organs at risk during vaginal brachytherapy, and the role of three-dimensional CT-based treatment planning.” Brachytherapy 13, no. 4 (2014): 332–36. https://doi.org/10.1016/j.brachy.2013.12.002.
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    • Zhang, Fan, Chris R. Kelsey, David Yoo, Fang-Fang Yin, and Jing Cai. “Uncertainties of 4-dimensional computed tomography-based tumor motion measurement for lung stereotactic body radiation therapy.” Pract Radiat Oncol 4, no. 1 (2014): e59–65. https://doi.org/10.1016/j.prro.2013.02.009.
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    • Vergalasova, I., J. Cai, W. Giles, W. P. Segars, and F. F. Yin. “Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.” Phys Med Biol 58, no. 20 (October 21, 2013): 7239–59. https://doi.org/10.1088/0031-9155/58/20/7239.
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    • Ge, Hong, Jing Cai, Christopher Kelsey, and Fang-Fang Yin. “In reply to Kumar et al.” Int J Radiat Oncol Biol Phys 87, no. 1 (September 1, 2013): 5–6. https://doi.org/10.1016/j.ijrobp.2013.04.044.
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    • Qin, Yujiao, Fan Zhang, David S. Yoo, Chris R. Kelsey, Fang-Fang Yin, and Jing Cai. “Adaptive stereotactic body radiation therapy planning for lung cancer.” Int J Radiat Oncol Biol Phys 87, no. 1 (September 1, 2013): 209–15. https://doi.org/10.1016/j.ijrobp.2013.05.008.
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    • Liu, Y., Z. Chang, B. Czito, M. Bashir, F. Yin, and J. Cai. “TH-C-141-07: T2-Weighted 4D-MRI with Combined Phase and Amplitude Sorting.” Med Phys 40, no. 6Part32 (June 2013): 540. https://doi.org/10.1118/1.4815775.
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    • Yang, J., F. Yin, H. Wang, Z. Chang, B. Czito, M. Bashir, and J. Cai. “TU-G-134-01: 4D-MRI Using Body Area as Internal Respiratory Surrogate: Initial Patient Results.” Med Phys 40, no. 6Part28 (June 2013): 460. https://doi.org/10.1118/1.4815479.
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    • Yang, J., J. Cai, H. Wang, Z. Chang, B. Czito, M. Bashir, and F. Yin. “WE-C-116-07: Tumor Enhancement Using Deformable Image Registration for Four-Dimensional Magnetic Resonance Imaging (4D-MRI): A Feasibility Study.” Med Phys 40, no. 6Part29 (June 2013): 485. https://doi.org/10.1118/1.4815569.
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    • Craciunescu, O., J. Cai, and J. Chino. “TH-D-108-01: Implementing MR-Guided Adaptive Brachytherapy for Cervical Cancer.” Med Phys 40, no. 6Part33 (June 2013): 549. https://doi.org/10.1118/1.4815807.
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    • Yin, F., S. Benedict, J. Bradley, J. Cai, and K. Wijesooriya. “WE-A-500-01: Quality Control of Lung SBRT: Minimizing Uncertainties From Simulation to Treatment.” Med Phys 40, no. 6Part28 (June 2013): 464. https://doi.org/10.1118/1.4815490.
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    • Ge, Hong, Jing Cai, Chris R. Kelsey, and Fang-Fang Yin. “Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer.” Int J Radiat Oncol Biol Phys 85, no. 2 (February 1, 2013): 438–43. https://doi.org/10.1016/j.ijrobp.2012.04.032.
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    • Cai, Jing, Zheng Chang, Jennifer O’Daniel, Sua Yoo, Hong Ge, Christopher Kelsey, and Fang-Fang Yin. “Investigation of sliced body volume (SBV) as respiratory surrogate.” J Appl Clin Med Phys 14, no. 1 (January 7, 2013): 3987. https://doi.org/10.1120/jacmp.v14i1.3987.
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    • Cai, J., Z. Chang, O. Jennifer, S. Yoo, G. Hong, C. Kelsey, and F. F. Yin. “Investigation of sliced body volume (SBV) as respiratory surrogate.” Journal of Applied Clinical Medical Physics 14, no. 1 (January 1, 2013): 71–80. https://doi.org/10.1120/jacmp.v14i1.3987.
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    • Cui, Yunfeng, James M. Galvin, William Parker, Stephen Breen, Fang-Fang Yin, Jing Cai, Lech S. Papiez, et al. “Implementation of remote 3-dimensional image guided radiation therapy quality assurance for radiation therapy oncology group clinical trials.” Int J Radiat Oncol Biol Phys 85, no. 1 (January 1, 2013): 271–77. https://doi.org/10.1016/j.ijrobp.2012.03.002.
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    • Ding, L., J. Chino, J. Cai, B. Steffey, S. Meltsner, Y. Yang, and O. Craciunescu. “SU‐E‐J‐88: Dose Summation Between Multimodality Treatments for Cervical Cancer.” Medical Physics 40, no. 6 (January 1, 2013): 170. https://doi.org/10.1118/1.4814300.
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    • Zhang, Fan, Jing Hu, Chris R. Kelsey, David Yoo, Fang-Fang Yin, and Jing Cai. “Reproducibility of tumor motion probability distribution function in stereotactic body radiation therapy of lung cancer.” Int J Radiat Oncol Biol Phys 84, no. 3 (November 1, 2012): 861–66. https://doi.org/10.1016/j.ijrobp.2012.01.037.
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    • Chang, Zheng, James Bowsher, Jing Cai, Sua Yoo, Zhiheng Wang, Justus Adamson, Lei Ren, and Fang-Fang Yin. “Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: our 1 year experience.” J Appl Clin Med Phys 13, no. 4 (July 5, 2012): 3754. https://doi.org/10.1120/jacmp.v13i4.3754.
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    • Adamson, Justus, Joseph Newton, Yun Yang, Beverly Steffey, Jing Cai, John Adamovics, Mark Oldham, Junzo Chino, and Oana Craciunescu. “Commissioning a CT-compatible LDR tandem and ovoid applicator using Monte Carlo calculation and 3D dosimetry.” Med Phys 39, no. 7Part1 (July 2012): 4515–23. https://doi.org/10.1118/1.4730501.
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    • Adamson, J., J. Newton, B. Steffey, J. Cai, J. Adamovics, M. Oldham, J. Chino, and O. Craciunescu. “SU-D-213AB-05: Commissioning a CT Compatible LDR T&O Applicator Using Analytical Calculation with ID and 3D Dosimetry.” Med Phys 39, no. 6Part3 (June 2012): 3612. https://doi.org/10.1118/1.4734665.
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    • Craciunescu, O., J. Cai, A. de Leeuw, and C. Kirisits. “TU-E-213CD-01: Image Guided Adaptive Brachytherapy for Cervical Cancer.” Med Phys 39, no. 6Part24 (June 2012): 3913. https://doi.org/10.1118/1.4735972.
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    • Panta, R., W. Segars, F. Yin, and J. Cai. “SU-E-J-145: Implementing 4D XCAT Phantom for 4D Radiotherapy Research.” Med Phys 39, no. 6Part8 (June 2012): 3686. https://doi.org/10.1118/1.4734981.
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    • Qin, Y., F. Zhang, C. Kelsey, D. Yoo, F. Yin, and J. Cai. “TU-E-BRB-04: Adaptive Stereotactic-Body Radiation Therapy (SBRT) Planning for Lung Cancer.” Med Phys 39, no. 6Part24 (June 2012): 3908. https://doi.org/10.1118/1.4735953.
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    • Qin, Y., Z. Chang, W. Segars, F. Yin, and J. Cai. “SU-D-218-02: 4D-MRI Based on Body Area (BA) Surrogate and Sagittal Image Acquisition.” Med Phys 39, no. 6Part3 (June 2012): 3622. https://doi.org/10.1118/1.4734705.
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    • Turner, K., J. Cai, F. Yin, Y. Zhang, and I. Vergalasova. “SU-E-J-209: A Simple Method to Minimize Uncertainty in ITV Delineation: Phantom Verification.” Med Phys 39, no. 6Part9 (June 2012): 3700–3701. https://doi.org/10.1118/1.4735049.
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    • Zhang, F., Y. Qin, W. Segars, F. Yin, and J. Cai. “MO-A-213AB-04: Verification of 4D Dose Delivery Using 4D Digital Human Phantom.” Med Phys 39, no. 6Part20 (June 2012): 3859. https://doi.org/10.1118/1.4735756.
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    • Tian, Yuan, Zhiheng Wang, Hong Ge, Tian Zhang, Jing Cai, Christopher Kelsey, David Yoo, and Fang-Fang Yin. “Dosimetric comparison of treatment plans based on free breathing, maximum, and average intensity projection CTs for lung cancer SBRT.” Med Phys 39, no. 5 (May 2012): 2754–60. https://doi.org/10.1118/1.4705353.
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    • Vergalasova, Irina, Jing Cai, and Fang-Fang Yin. “A novel technique for markerless, self-sorted 4D-CBCT: feasibility study.” Med Phys 39, no. 3 (March 2012): 1442–51. https://doi.org/10.1118/1.3685443.
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    • Yue, Jinbo, Xindong Sun, Jing Cai, Fang-Fang Yin, Yong Yin, Jian Zhu, Jie Lu, et al. “Lipiodol: a potential direct surrogate for cone-beam computed tomography image guidance in radiotherapy of liver tumor.” Int J Radiat Oncol Biol Phys 82, no. 2 (February 1, 2012): 834–41. https://doi.org/10.1016/j.ijrobp.2010.12.050.
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    • Chang, Z., J. Bowsher, J. Cai, S. Yoo, Z. Wang, J. Adamson, L. Ren, and F. F. Yin. “Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: Our 1 year experience.” Journal of Applied Clinical Medical Physics 13, no. 4 (January 1, 2012): 113–40. https://doi.org/10.1120/jacmp.v13i4.3754.
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    • Panta, Raj K., Paul Segars, Fang-Fang Yin, and Jing Cai. “Establishing a framework to implement 4D XCAT phantom for 4D radiotherapy research.” J Cancer Res Ther 8, no. 4 (2012): 565–70. https://doi.org/10.4103/0973-1482.106539.
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    • Cai, Jing, Zheng Chang, Zhiheng Wang, William Paul Segars, and Fang-Fang Yin. “Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study.” Med Phys 38, no. 12 (December 2011): 6384–94. https://doi.org/10.1118/1.3658737.
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    • Cai, J., Z. Chang, and F. Yin. “Imaging Tumor Motion using 4D-MRI.” International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (October 2011): S122–23. https://doi.org/10.1016/j.ijrobp.2011.06.251.
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    • Ge, H., J. Cai, C. Kelsey, and F. Yin. “An Improved Method for Delineating Individualized ITV for SBRT of Lung Cancer.” International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (October 2011): S624–S624. https://doi.org/10.1016/j.ijrobp.2011.06.1859.
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    • Vergalasova, I., J. Cai, and F. Yin. “Fourier Transform (FT) Techniques for Markerless 4D Cone-beam CT (4D-CBCT) Sorting: Comparison between Phase vs. Magnitude.” International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (October 2011): S59–S59. https://doi.org/10.1016/j.ijrobp.2011.06.119.
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    • Zhang, F., C. Kelsey, F. Yin, and J. Cai. “Correlation between External Surrogate Motion and Lung Tumor Motion: From a Statistical Point of View.” International Journal of Radiation Oncology*Biology*Physics 81, no. 2 (October 2011): S781–82. https://doi.org/10.1016/j.ijrobp.2011.06.1211.
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    • Chang, Zheng, Tonghai Liu, Jing Cai, Qing Chen, Zhiheng Wang, and Fang-Fang Yin. “Evaluation of integrated respiratory gating systems on a Novalis Tx system.” J Appl Clin Med Phys 12, no. 3 (April 4, 2011): 3495. https://doi.org/10.1120/jacmp.v12i3.3495.
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    • Cai, Jing, Robert McLawhorn, Tallisa A. Altes, Eduard de Lange, Paul W. Read, James M. Larner, Stanley H. Benedict, and Ke Sheng. “Helical tomotherapy planning for lung cancer based on ventilation magnetic resonance imaging.” Med Dosim 36, no. 4 (2011): 389–96. https://doi.org/10.1016/j.meddos.2010.09.008.
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    • Chang, Z., T. H. Liu, J. Cai, Q. Chen, Z. Wang, and F. F. Yin. “Evaluation of integrated respiratory gating systems on a Novalis Tx system.” Journal of Applied Clinical Medical Physics 12, no. 3 (January 1, 2011): 71–79. https://doi.org/10.1120/jacmp.v12i3.3495.
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    • Cai, Jing, Jinbo Yue, Robert McLawhorn, Wensha Yang, Krishni Wijesooriya, Neal E. Dunlap, Ke Sheng, Fang-Fang Yin, and Stanley H. Benedict. “Dosimetric comparison of 6 MV and 15 MV single arc rapidarc to helical TomoTherapy for the treatment of pancreatic cancer.” Med Dosim 36, no. 3 (2011): 317–20. https://doi.org/10.1016/j.meddos.2010.07.002.
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    • Adamson, Justus, Zheng Chang, Zhiheng Wang, Fang-Fang Yin, and Jing Cai. “Maximum intensity projection (MIP) imaging using slice-stacking MRIa).” Med Phys 37, no. 11 (November 2010): 5914–20. https://doi.org/10.1118/1.3503850.
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    • Cai, Jing, Robert McLawhorn, Paul W. Read, James M. Larner, Fang-Fang Yin, Stanley H. Benedict, and Ke Sheng. “Effects of breathing variation on gating window internal target volume in respiratory gated radiation therapya).” Med Phys 37, no. 8 (August 2010): 3927–34. https://doi.org/10.1118/1.3457329.
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    • Tustison, Nicholas J., Suyash P. Awate, Jing Cai, Talissa A. Altes, G Wilson Miller, Eduard E. de Lange, John P. Mugler, and James C. Gee. “Pulmonary kinematics from tagged hyperpolarized helium-3 MRI.” J Magn Reson Imaging 31, no. 5 (May 2010): 1236–41. https://doi.org/10.1002/jmri.22137.
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    • Dunlap, Neal E., Jing Cai, Gregory B. Biedermann, Wensha Yang, Stanley H. Benedict, Ke Sheng, Tracey E. Schefter, Brian D. Kavanagh, and James M. Larner. “Chest wall volume receiving >30 Gy predicts risk of severe pain and/or rib fracture after lung stereotactic body radiotherapy.” Int J Radiat Oncol Biol Phys 76, no. 3 (March 1, 2010): 796–801. https://doi.org/10.1016/j.ijrobp.2009.02.027.
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    • Benedict, S. H., J. Cai, B. Libby, M. Lovelock, D. Schlesinger, K. Sheng, and W. Yang. “SRT and SBRT: Current practices for QA dosimetry and 3D.” Journal of Physics: Conference Series 250 (January 1, 2010): 272–82. https://doi.org/10.1088/1742-6596/250/1/012057.
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    • Miller, G Wilson, John P. Mugler, Talissa A. Altes, Jing Cai, Jaime F. Mata, Eduard E. de Lange, William A. Tobias, Gordon D. Cates, and James R. Brookeman. “A short-breath-hold technique for lung pO2 mapping with 3He MRI.” Magn Reson Med 63, no. 1 (January 2010): 127–36. https://doi.org/10.1002/mrm.22181.
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    • Yin, Fang-Fang, Mark Oldham, Jing Cai, and Qiuwen Wu. “Dosimetry challenges for implementing emerging technologies.” J Phys Conf Ser 250, no. 1 (2010): 8–11. https://doi.org/10.1088/1742-6596/250/1/012002.
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    • Cai, Jing, Ke Sheng, Stanley H. Benedict, Paul W. Read, James M. Larner, John P. Mugler, Eduard E. de Lange, Gordon D. Cates, and G Wilson Miller. “Dynamic MRI of grid-tagged hyperpolarized helium-3 for the assessment of lung motion during breathing.” Int J Radiat Oncol Biol Phys 75, no. 1 (September 1, 2009): 276–84. https://doi.org/10.1016/j.ijrobp.2009.03.051.
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    • Zhong, Xiaodong, Craig H. Meyer, David J. Schlesinger, Jason P. Sheehan, Frederick H. Epstein, James M. Larner, Stanley H. Benedict, Paul W. Read, Ke Sheng, and Jing Cai. “Tracking brain motion during the cardiac cycle using spiral cine-DENSE MRI.” Med Phys 36, no. 8 (August 2009): 3413–19. https://doi.org/10.1118/1.3157109.
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    • Cai, Jing, Jaime F. Mata, Matthew D. Orton, Klaus D. Hagspiel, John P. Mugler, James M. Larner, Ke Sheng, and Paul W. Read. “A rabbit irradiation platform for outcome assessment of lung stereotactic radiosurgery.” Int J Radiat Oncol Biol Phys 73, no. 5 (April 1, 2009): 1588–95. https://doi.org/10.1016/j.ijrobp.2008.11.038.
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    • Cai, Jing, Paul W. Read, James M. Larner, David R. Jones, Stanley H. Benedict, and Ke Sheng. “Reproducibility of interfraction lung motion probability distribution function using dynamic MRI: statistical analysis.” Int J Radiat Oncol Biol Phys 72, no. 4 (November 15, 2008): 1228–35. https://doi.org/10.1016/j.ijrobp.2008.07.028.
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    • Cai, Jing, Paul W. Read, and Ke Sheng. “The effect of respiratory motion variability and tumor size on the accuracy of average intensity projection from four-dimensional computed tomography: an investigation based on dynamic MRI.” Med Phys 35, no. 11 (November 2008): 4974–81. https://doi.org/10.1118/1.2982245.
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    • Tustison, N. J., S. P. Awate, T. A. Altes, J. C. Gee, J. Cai, G. W. Miller, E. E. De Lange, and J. P. Mugler. “Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework.” 2008 5th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, Isbi, September 10, 2008, 772–75. https://doi.org/10.1109/ISBI.2008.4541110.
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    • Sheng, K., J. Cai, B. Libby, and S. Benedict. “Imaging the lung in radiotherapy: Where 4D meets multimodality.” Imaging Decisions Mri 12, no. 1 (March 1, 2008): 25–31. https://doi.org/10.1111/j.1617-0830.2008.00117.x.
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    • Tustison, N. J., T. A. Altes, J. C. Gee, J. Cai, E. E. De Lange, and J. P. Mugler. “Pulmonary kinematics from hyperpolarized helium-3 tagged magnetic resonance imaging.” 2007 4th Ieee International Symposium on Biomedical Imaging: From Nano to Macro  Proceedings, November 27, 2007, 368–71. https://doi.org/10.1109/ISBI.2007.356865.
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    • Cai, Jing, Paul W. Read, Joseph M. Baisden, James M. Larner, Stanley H. Benedict, and Ke Sheng. “Estimation of error in maximal intensity projection-based internal target volume of lung tumors: a simulation and comparison study using dynamic magnetic resonance imaging.” Int J Radiat Oncol Biol Phys 69, no. 3 (November 1, 2007): 895–902. https://doi.org/10.1016/j.ijrobp.2007.07.2322.
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    • Cai, Jing, Ke Sheng, Jason P. Sheehan, Stanley H. Benedict, James M. Larner, and Paul W. Read. “Evaluation of thoracic spinal cord motion using dynamic MRI.” Radiother Oncol 84, no. 3 (September 2007): 279–82. https://doi.org/10.1016/j.radonc.2007.06.008.
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    • Cai, J., T. A. Altes, G. W. Miller, K. Sheng, P. W. Read, J. F. Mata, X. Zhong, et al. “MR grid-tagging using hyperpolarized helium-3 for regional quantitative assessment of pulmonary biomechanics and ventilation.” Magn Reson Med 58, no. 2 (August 2007): 373–80. https://doi.org/10.1002/mrm.21288.
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    • Baisden, Joseph M., Davis A. Romney, Andrew G. Reish, Jing Cai, Ke Sheng, David R. Jones, Stanley H. Benedict, Paul W. Read, and James M. Larner. “Dose as a function of lung volume and planned treatment volume in helical tomotherapy intensity-modulated radiation therapy-based stereotactic body radiation therapy for small lung tumors.” Int J Radiat Oncol Biol Phys 68, no. 4 (July 15, 2007): 1229–37. https://doi.org/10.1016/j.ijrobp.2007.03.024.
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    • Cai, Jing, G Wilson Miller, Talissa A. Altes, Paul W. Read, Stanley H. Benedict, Eduard E. de Lange, Gordon D. Cates, James R. Brookeman, John P. Mugler, and Ke Sheng. “Direct measurement of lung motion using hyperpolarized helium-3 MR tagging.” Int J Radiat Oncol Biol Phys 68, no. 3 (July 1, 2007): 650–53. https://doi.org/10.1016/j.ijrobp.2007.02.011.
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    • Mata, Jaime F., Talissa A. Altes, Jing Cai, Kai Ruppert, Wayne Mitzner, Klaus D. Hagspiel, Bina Patel, et al. “Evaluation of emphysema severity and progression in a rabbit model: comparison of hyperpolarized 3He and 129Xe diffusion MRI with lung morphometry.” J Appl Physiol (1985) 102, no. 3 (March 2007): 1273–80. https://doi.org/10.1152/japplphysiol.00418.2006.
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    • Cai, Jing, Paul W. Read, Talissa A. Altes, Janelle A. Molloy, James R. Brookeman, and Ke Sheng. “Evaluation of the reproducibility of lung motion probability distribution function (PDF) using dynamic MRI.” Phys Med Biol 52, no. 2 (January 21, 2007): 365–73. https://doi.org/10.1088/0031-9155/52/2/004.
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    • Cai, J., P. Read, S. Benedict, J. Larner, and K. Sheng. “TH‐C‐L100J‐04: Reproducibility of Intra‐Fractional Lung Motion Probability Distribution Function (PDF) Using Dynamic MRI: Statistical Analysis.” Medical Physics 34, no. 6 (January 1, 2007): 2622. https://doi.org/10.1118/1.2761642.
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    • Sheng, K., G. Hunt, J. Cai, J. Chow, J. Larner, S. Benedict, P. Read, K. Ruchala, W. lu, and G. Olivera. “TH‐E‐M100J‐06: Parotid Dose Deviation Related to Parotid Volume Reduction During Radiation Therapy: An Analysis Based On TomoTherapy Adaptive Tool.” Medical Physics 34, no. 6 (January 1, 2007): 2650. https://doi.org/10.1118/1.2761759.
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    • Cai, J., P. Read, J. Baisden, J. Larner, S. Benedict, and K. Sheng. “TH‐E‐M100F‐06: Estimation of the Error in Internal Target Volume (ITV) of Lung Tumor Obtained From Free‐Breathing Cine‐Mode 4DCT: A Simulation and Comparison Study Based On Dynamic MRI.” Medical Physics 34, no. 6 (January 1, 2007): 2648. https://doi.org/10.1118/1.2761752.
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    • Sheng, Ke, Jing Cai, James Brookeman, Janelle Molloy, John Christopher, and Paul Read. “A computer simulated phantom study of tomotherapy dose optimization based on probability density functions (PDF) and potential errors caused by low reproducibility of PDF.” Med Phys 33, no. 9 (September 2006): 3321–26. https://doi.org/10.1118/1.2222331.
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    • Sheng, K., J. Cai, P. Read, and J. Molloy. “SU‐FF‐J‐59: Dose Calculation and Quantitative PTV Expansion Using Dynamic MRI Images.” Medical Physics 32, no. 6 (January 1, 2005): 1933. https://doi.org/10.1118/1.1997605.
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    • Cai, J., K. Sheng, J. Christopher, P. Read, J. Molloy, and J. Brookeman. “MO‐D‐I‐609‐03: Fast Dynamic MR Imaging for Tracking Lung Tumor Motion During the Respiratory Cycle.” Medical Physics 32, no. 6 (January 1, 2005): 2053–54. https://doi.org/10.1118/1.1998239.
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  • Book Sections

    • Benedict, S. H., J. Cai, B. Libby, M. Lovelock, D. Schlesinger, K. Sheng, and W. Yang. “Stereotactic body radiation therapy.” In Quality and Safety in Radiotherapy, 575–80, 2010. https://doi.org/10.1201/b10448.
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  • Conference Papers

    • Li, W., S. Lam, T. Li, A. L. Y. Cheung, H. Xiao, C. Liu, J. Zhang, et al. “Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13437 LNCS:765–73, 2022. https://doi.org/10.1007/978-3-031-16449-1_73.
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    • Peng, T., Y. Wu, J. Zhao, B. Zhang, J. Wang, and J. Cai. “Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy.” In Proceedings  2022 Ieee International Conference on Bioinformatics and Biomedicine, Bibm 2022, 1126–31, 2022. https://doi.org/10.1109/BIBM55620.2022.9995677.
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    • Zhang, J., S. Lam, X. Teng, Y. Zhang, Z. Ma, F. Lee, K. H. Au, et al. “Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13574 LNCS:21–34, 2022. https://doi.org/10.1007/978-3-031-17266-3_3.
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    • Yu, T. T., S. K. Lam, L. H. To, K. Y. Tse, N. Y. Cheng, Y. N. Fan, C. L. Lo, et al. “Constructing Novel Prognostic Biomarkers of Advanced Nasopharyngeal Carcinoma from Multiparametric MRI Radiomics Using Ensemble-Model Based Iterative Feature Selection.” In 2019 International Conference on Medical Imaging Physics and Engineering, Icmipe 2019, 2019. https://doi.org/10.1109/ICMIPE47306.2019.9098211.
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    • Zhang, L., F. F. Yin, and J. Cai. “Liver 4D-MRI: An Image Mutual Information based Retrospective Self-sorting Method.” In 2019 International Conference on Medical Imaging Physics and Engineering, Icmipe 2019, 2019. https://doi.org/10.1109/ICMIPE47306.2019.9098165.
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    • Ren, G., W. Y. Ho, J. Qin, and J. Cai. “Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11850 LNCS:102–9, 2019. https://doi.org/10.1007/978-3-030-32486-5_13.
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    • Zhong, H., J. Cai, C. Glide-Hurst, and I. J. Chetty. “An adaptive finite element method to cope with a large scale lung deformation in magnetic resonance images.” In 2014 Ieee 11th International Symposium on Biomedical Imaging, Isbi 2014, 770–73, 2014. https://doi.org/10.1109/isbi.2014.6867984.
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    • Turner, K., Y. Zhang, I. Vergalasova, L. Ren, P. Segars, C. Kelsey, D. Yoo, F. Yin, and J. Cai. “MO-F-WAB-11: Investigation of CBCT-Based Patient Positioning Accuracy in Lung SBRT: Correlation with Breathing Irregularity.” In Med Phys, 40:412, 2013. https://doi.org/10.1118/1.4815300.
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    • Benedict, S., S. Vedam, J. Cai, K. Wijesooriya, and M. Murphy. “TU‐C‐500‐01: Evaluating Benefits and Challenges of Multi‐Modality Co‐Registration.” In Medical Physics, 40:429, 2013. https://doi.org/10.1118/1.4815362.
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    • Liu, Y., W. Miller, F. Yin, and J. Cai. “TU‐C‐141‐08: Evaluate Deformable Image Registration for the Lungs Using Hyperpolarized Gas Tagging MRI.” In Medical Physics, 40:435, 2013. https://doi.org/10.1118/1.4815385.
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    • Qin, Y., C. Kelsey, D. Yoo, F. Yin, and J. Cai. “SU‐E‐T‐474: Adaptive Stereotactic Body Radiation Therapy (SBRT) Planning for Lung Cancer: Can We Predict Who Will Benefit?” In Medical Physics, 40:314, 2013. https://doi.org/10.1118/1.4814907.
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    • Cai, J., J. Chino, Y. Qin, T. R. De Oliveira, J. Adamson, B. Steffey, and O. Craciunescu. “Feasibility of MR-alone-based Brachytherapy Treatment Planning Using a Titanium Tandem and Ring Applicator for Cervical Cancer.” In International Journal of Radiation Oncology*Biology*Physics, 84:S803–S803. Elsevier BV, 2012. https://doi.org/10.1016/j.ijrobp.2012.07.2150.
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    • Chen, Q., J. Cai, Q. Wu, and F. Yin. “Dosimetric Evaluation of Flattening Filter-free (FFF) Photon Beams for Lung SBRT.” In International Journal of Radiation Oncology*Biology*Physics, 84:S609–S609. Elsevier BV, 2012. https://doi.org/10.1016/j.ijrobp.2012.07.1623.
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    • Chino, J. P., B. Steffey, J. Cai, J. Adamson, and O. Craciunescu. “Multicatheter Vaginal Balloon Brachytherapy: One Year's Clinical Experience.” In International Journal of Radiation Oncology*Biology*Physics, 84:S460–S460. Elsevier BV, 2012. https://doi.org/10.1016/j.ijrobp.2012.07.1219.
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    • Vergalasova, I., J. Cai, and F. Yin. “Impact of Patient Anatomy Variations on a Fourier Technique for Markerless 4D-CBCT.” In International Journal of Radiation Oncology*Biology*Physics, 84:S719–S719. Elsevier BV, 2012. https://doi.org/10.1016/j.ijrobp.2012.07.1925.
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    • Zhu, L., O. Craciunescu, J. Cai, B. Steffey, J. Adamson, and J. P. Chino. “Urinary Catheterization Increases the Dose to Bowel During Vaginal Brachytherapy.” In International Journal of Radiation Oncology*Biology*Physics, 84:S455–S455. Elsevier BV, 2012. https://doi.org/10.1016/j.ijrobp.2012.07.1205.
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    • Cai, J., Y. Hu, E. Tryggestad, and P. Parikh. “Establishing a 4D MRI Program for Imaging Moving Tumors.” In Medical Physics, 39:3878–79, 2012. https://doi.org/10.1118/1.4735836.
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    • Chang, Z., J. Kirkpatrick, J. Cai, Z. Wang, and F. Yin. “Evaluating Radiation-Induced White Matter Changes in Patients with Recurrent Malignant Gliomas Under Treatment of Stereotactic Radiosurgery Using Diffusion Tensor Imaging.” In Medical Physics, 39:3937–3937, 2012. https://doi.org/10.1118/1.4736067.
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    • Vergalasova, I., J. Cai, and F. Yin. “A Fourier Technique for Markerless, Self-Sorted 4D-CBCT: Effect of Respiratory Characteristics.” In Medical Physics, 39:3902–3902, 2012. https://doi.org/10.1118/1.4735928.
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    • Zhang, Y., L. Ren, I. Vergalasova, J. Cai, and F. Yin. “Phase-Matched Digital Tomosynthesis (DTS) Imaging for Simultaneous Target Verification During Volumetric Modulated Arc Therapy (VMAT) Treatment.” In Medical Physics, 39:3889–90, 2012. https://doi.org/10.1118/1.4735877.
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    • Cai, J., Z. Chang, J. O’daniel, S. Yoo, Y. Jian, H. ge, and F. Yin. “TU‐E‐BRC‐08: Investigation of Anatomical Surrogate for 4DCT Imaging.” In Medical Physics, 38:3771, 2011. https://doi.org/10.1118/1.3613195.
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    • Chang, Z., T. Liu, J. Cai, Q. Chen, Z. Wang, and F. Yin. “SU‐E‐T‐123: Evaluation of Integrated Gating Systems on a Novalis Tx System Using Quantitative Motion Tracking Analyses and Efficient Time‐Delay Measurements.” In Medical Physics, 38:3514, 2011. https://doi.org/10.1118/1.3612074.
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    • Jian, Y., J. Cai, and F. Yin. “SU‐E‐I‐29: A Prior Information Based Total‐Variation Digital Tomosynthesis Reconstruction Algorithm.” In Medical Physics, 38:3402, 2011. https://doi.org/10.1118/1.3611602.
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    • Vergalasova, I., J. Cai, and F. Yin. “SU‐F‐BRA‐10: A Novel Technique for Markerless Self‐Sorted 4D‐CBCT.” In Medical Physics, 38:3702, 2011. https://doi.org/10.1118/1.3612877.
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    • Yin, F., J. Biederer, J. Cai, and P. Parikh. “MO‐D‐214‐01: 4D‐MRI for Radiation Therapy of Moving Tumors.” In Medical Physics, 38:3714–15, 2011. https://doi.org/10.1118/1.3612976.
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    • Zhang, F., J. hu, C. Kelsey, F. Yin, and J. Cai. “MO‐D‐BRB‐03: Investigation of the Reproducibility of Probability Distribution function (PDF) of Tumor Motion in Lung Stereotactic Body Radiation Therapy (SBRT).” In Medical Physics, 38:3709–10, 2011. https://doi.org/10.1118/1.3612908.
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    • Cai, J., Z. Chang, Z. Wang, and F. Yin. “Extracting Breathing Signal from Image Fourier Transform for Developing 4D-MRI.” In International Journal of Radiation Oncology*Biology*Physics, 78:S727–S727. Elsevier BV, 2010. https://doi.org/10.1016/j.ijrobp.2010.07.1685.
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    • Adamson, J., Z. Chang, Z. Wang, F. Yin, and J. Cai. “SU‐GG‐I‐140: Maximum Intensity Projection (MIP) Imaging Using Multi‐Slice Cine MRI.” In Medical Physics, 37:3133, 2010. https://doi.org/10.1118/1.3468174.
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    • Cai, J., Z. Chang, and F. Yin. “TU‐B‐201B‐02: Self‐Sorted Four‐Dimensional CT Using Body Volume as Respiratory Surrogate.” In Medical Physics, 37:3378, 2010. https://doi.org/10.1118/1.3469198.
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    • Cai, J., Z. Chang, and F. Yin. “SU‐GG‐I‐148: Self‐Sorted Four‐Dimensional Magnetic Resonance Imaging: A Feasibility Study.” In Medical Physics, 37:3135, 2010. https://doi.org/10.1118/1.3468183.
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    • Chang, Z., J. Cai, Z. Wang, and F. Yin. “SU‐GG‐J‐67: Evaluating Dynamic Magnetic Resonance Imaging Using a New Design of Phantom: Validation with Fast Megavoltage Fluoroscopic Imaging.” In Medical Physics, 37:3160, 2010. https://doi.org/10.1118/1.3468291.
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    • Wang, Z., J. Kirkpatrick, Z. Chang, J. Cai, T. Zhuang, and F. Yin. “SU‐GG‐T‐530: Comparison of Coplanar and Non‐Coplanar Intensity Modulated Arc Techniques for Treatment of Intracranial Multi‐Focal Stereotactic Radiosurgery.” In Medical Physics, 37:3309, 2010. https://doi.org/10.1118/1.3468927.
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    • Sheng, K., J. Mata, J. Cai, J. Larner, and P. Read. “TH‐C‐BRC‐02: Lung Injury From Stereotactic Radiosurgery and Efficacy of Amifostine: A Small Animal Study On Helical TomoTherapy.” In Medical Physics, 36:2798, 2009. https://doi.org/10.1118/1.3182616.
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    • Cai, J., R. Mclawhorn, P. Read, J. Larner, K. Sheng, T. Altes, E. de Lange, and S. Benedict. “SU‐FF‐J‐24: Functional Planning for Tomotherapy‐Based Stereotactic Body Radiotherapy (SBRT) for Peripheral Lung Tumors.” In Medical Physics, 36:2480, 2009. https://doi.org/10.1118/1.3181316.
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    • Cai, J., P. Read, K. Wijesooriya, S. Benedict, and K. Sheng. “SU‐GG‐J‐179: The Errors in Determining Lung Tumor ITV From Time Resolved Image Reconstruction.” In Medical Physics, 35:2720–21, 2008. https://doi.org/10.1118/1.2961728.
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    • Sheng, K., and J. Cai. “TH‐C‐AUD C‐01: Lung Mechanical Modeling Based On the 3He MR Tagging and Lobar Segmentation.” In Medical Physics, 35:2972, 2008. https://doi.org/10.1118/1.2962847.
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    • Cai, J., K. Sheng, P. Read, J. Molloy, T. Altes, and J. Brookeman. “TU‐C‐330A‐06: Evaluation of Internal Lung Motion Based On Extended Time Ultra‐Fast MRI Scan.” In Medical Physics, 33:2183, 2006. https://doi.org/10.1118/1.2241499.
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    • Sheng, K., J. Cai, T. Altes, J. Brookeman, J. Larner, and P. Read. “TU‐EE‐A2‐06: A Computer Simulated Study of Dose Optimization Based On Lung Tumor Probability Function Obtained From Long Time Dynamic MRI Scan of Human Subject.” In Medical Physics, 33:2207, 2006. https://doi.org/10.1118/1.2241598.
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