Education and Training
- Physics Resident, Thomas Jefferson University, 2009 - 2012
- Research Fellow, Memorial Sloan-Kettering Cancer Center, 2006 - 2009
- Ph.D., Tsinghua University (China), 2006
Shi, Liting, Quan Chen, Susan Barley, Yunfeng Cui, Lu Shang, Jianfeng Qiu, and Yi Rong. “Benchmarking of deformable image registration for multiple anatomical sites using digital datasets with ground-truth deformation vector fields.” Pract Radiat Oncol, March 12, 2021. https://doi.org/10.1016/j.prro.2021.02.012.
Rong, Yi, Mihaela Rosu-Bubulac, Stanley H. Benedict, Yunfeng Cui, Russell Ruo, Tanner Connell, Rojano Kashani, et al. “Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide in YYYY Clinical Trial Participation.” Pract Radiat Oncol, March 1, 2021. https://doi.org/10.1016/j.prro.2021.02.007.
Kent, C. L., J. C. Hong, C. N. Rushing, A. M. Faught, Y. Cui, F. F. Yin, B. Czito, C. G. Willett, and M. Palta. “Association of Interim FDG-PET During Chemoradiation for Anal Squamous Cell Carcinoma with Recurrence: An Updated Analysis.” In International Journal of Radiation Oncology Biology Physics, 108:E584–E584, 2020.
Cui, Yunfeng, Hao Gao, Jiahan Zhang, John P. Kirkpatrick, and Fang-Fang Yin. “Retrospective quality metrics review of stereotactic radiosurgery plans treating multiple targets using single-isocenter volumetric modulated arc therapy.” J Appl Clin Med Phys 21, no. 6 (June 2020): 93–99. https://doi.org/10.1002/acm2.12869.
Wang, Chunhao, Chenyang Liu, Yushi Chang, Kyle Lafata, Yunfeng Cui, Jiahan Zhang, Yang Sheng, Yvonne Mowery, David Brizel, and Fang-Fang Yin. “Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application.” Frontiers in Oncology 10 (January 2020): 1592. https://doi.org/10.3389/fonc.2020.01592.
Wang, C., C. Liu, K. Lafata, Y. Chang, Y. Cui, X. Li, Y. M. Mowery, D. M. Brizel, and F. F. Yin. “Dose-Distribution-Driven PET Image-based Outcome Prediction (DDD-PIOP): A Framework Design for Oropharyngeal Cancer IMRT Application.” In International Journal of Radiation Oncology*Biology*Physics, 105:S81–82. Elsevier BV, 2019. https://doi.org/10.1016/j.ijrobp.2019.06.546.
Chang, Y., C. Liu, K. Lafata, C. Wang, Y. Cui, L. Ren, Y. M. Mowery, D. M. Brizel, and F. F. Yin. “PET Radiotherapy Response Assessment Using Encoder-Decoder Convolutional Neural Network and Pre-treatment Information: A Feasibility of Oropharynx Cancer IMRT.” In International Journal of Radiation Oncology*Biology*Physics, 105:E413–E413. Elsevier BV, 2019. https://doi.org/10.1016/j.ijrobp.2019.06.1615.
Chang, Y., K. Lafata, C. Liu, C. Wang, Y. Cui, L. Ren, X. Li, Y. Mowery, D. Brizel, and F. Yin. “An Encoder-Decoder Based Convolutional Neural Network (ED-CNN) for PET Image Response Prediction Using Pre-RT Information: A Feasibility of Oropharynx Cancer IMRT.” In Medical Physics, 46:E283–E283. WILEY, 2019.
Liu, C., C. Wang, K. Lafata, Y. Chang, Y. Cui, and F. Yin. “Dose-Specific PET Image-Based Outcome Prediction: A Deep Learning Study for Oropharyngeal Cancer IMRT Application.” In Medical Physics, 46:E525–E525. WILEY, 2019.
Sheng, Y., Y. Cui, S. Elguindi, J. Kirkpatrick, F. Yin, and E. Subashi. “Dosimetric Impact of Residual Distortion in a 3T MR Simulator Used for Stereotactic Radiosurgery Treatment Planning.” In Medical Physics, 46:E391–E391. WILEY, 2019.