Academic Title:
Assistant Professor
Primary Appointment:
Radiation Oncology
Additional Title:
Associate Director, Medical Physics Certificate Program
Email:
Location:
UMMC/Radiation Oncology GG
Phone (Primary):
410-328-2322
Education and Training
Sun Yat-sen University, B.S., Optical Information Science and Technology, China (2016)
Duke Kunshan University, M.S., Medical Physics, China (2018)
Duke University, Ph.D., Medical Physics, North Carolina, USA (2021)
University of Pennsylvania, Residency, Medical Physics, (2023)
Research/Clinical Keywords
Radiation therapy, brachytherapy, hyperthermia, stereotactic radiosurgery (SRS), image-guided radiation therapy
Highlighted Publications
- Chang, Y., Lafata, K., Sun, W., Wang, C., Chang, Z., Kirkpatrick, J. P., Yin, F. F. An inves-tigation of machine learning methods in delta-radiomics feature analysis. PLoS One. 2019 Dec 13;14(12):e0226348. eCollection 2019.
- Chang, Y., Lafata, K., Segars, W. P., Yin, F. F., Ren, L. Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN). Physics in Medicine & Biology. 2020 Mar 19;65(6):065009.
- Chang, Y., Lafata, K., Wang, C., Duan, X., Geng, R., Yang, Z., & Yin, F. F. (2020). Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes. Biomedical Physics & Engineering Express. 2020 Mar 2;6(2):025016.
- Wang, C., Liu, C., Chang, Y., Lafata, K., Cui, Y., Zhang, J., Sheng, Y., Mowery, Y., Brizel, D., & Yin, F. F. (2020). Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application. Frontiers in Oncology. 2020 Aug 18;10:1592.
- Li, X., Zhang, J., Sheng, Y., Chang, Y., Yin, F. F., Ge, Y., Wu, Q. J., & Wang, C. (2020). Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning. Physics in Medicine & Biology. 2020 Sep 8;65(17):175014.
- Chang, Y., Jiang, Z., Segars, W. P., Zhang, Z., Lafata, K., Cai, J., Yin, F. F., & Ren, L. (2021). A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantoms. Physics in Medicine & Biology. 2021 May 31;66(11):10.1088/1361-6560/ac01b4.
- Maxwell, R., Chang, Y., Paul, C., Vaughn, D., & Christodouleas, J. (2023) Cancer control, toxicity, and secondary malignancy risks of proton radiotherapy for stage I-IIB testicular seminoma. Advances in Radiation Oncology.