Zi Yang, PhD
Biography
Zi Yang is from a historic city, Xi’an, in China. There, she received her B.S. in Biomedical Engineering from Xi’an Jiaotong University in 2016. She then obtained her M.S. in Medical Physics from Duke University in 2018 and Ph.D. in Medical Physics from UT Southwestern Medical Center in 2023. Zi’s doctoral research mainly focused on applying AI techniques to enhance radiation therapy. In her free time, she enjoys playing Lego, going to movies and concerts with friends, exploring restaurants, hiking, and traveling with her camera.
Zi joined the Stanford University Medical Physics Residency in 2023.
Publications
Kazemimoghadam, M., Yang, Z., Chen, M., Rahimi, A., Kim, N., Alluri, P., Nwachukwu, C., Lu, W., and Gu, X. (2023). A deep learning approach for automatic delineation of clinical target volume in stereotactic partial breast irradiation (S-PBI). Physics in Medicine & Biology, 68(10), 105011.
Yang, Z., Chen, M., Kazemimoghadam, M., Ma, L., Wardak, Z., Stojadinovic, S., Timmerman, R., T. Dan, Lu, W., and Gu, X. (2022). Ensemble learning for glioma patients overall survival prediction using pre-operative MRIs. Physics in Medicine & Biology, 67(24), 245002.
Yang, Z., Chen, M., Kazemimoghadam, M., Ma, L., Stojadinovic, S., Timmerman, R., T. Dan, Wardak, Z., Lu, W., and Gu, X. (2021). Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation. Physics in Medicine & Biology, 67(2), 025004.
Chen, M., Yang, Z., Wardak, Z., Stojadinovic, S., Gu, X., and Lu, W. (2021). Dose kernel decomposition for spot‐based radiotherapy treatment planning. Medical Physics, 49(2), 1196-1208.
Yang, Z., Liu, H., Liu, Y., Stojadinovic, S., Timmerman, R., Nedzi, L., T. Dan, Wardak, Z., Lu, W., and Gu, X. (2020). A web‐based brain metastases segmentation and labeling platform for stereotactic radiosurgery. Medical Physics, 47(8), 3263-3276.
Yang, Z., Ren, L., Yin, F. F., Liang, X., and Cai, J. (2020). Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study. Radiation Medicine and Protection, 1(01), 41-47.
Yu, S., Chen, M., Zhang, E., Wu, J., Yu, H., Yang, Z., Ma, L., Gu, X., and Lu, W. (2020). Robustness study of noisy annotation in deep learning based medical image segmentation. Physics in Medicine & Biology, 65(17), 175007.
Pham, J., Harris, W., Sun, W., Yang, Z., Yin, F. F., and Ren, L. (2019). Predicting real-time 3D deformation field maps (DFM) based on volumetric cine MRI (VC-MRI) and artificial neural networks for on-board 4D target tracking: a feasibility study. Physics in Medicine & Biology, 64(16), 165016.
Zheng, Y., Gao, L., Wang, G., Wang, Y., Yang, Z., Wang, X., Li, T., Dang, C., Zhu, R., and Wang, J. (2016). The influence of unilateral contraction of hand muscles on the contralateral corticomuscular coherence during bimanual motor tasks. Neuropsychologia, 85, 199-207.