Stanford University
Showing 51-55 of 55 Results
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Zi Yang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioDr. Zi Yang is a Clinical Assistant Professor and an American Board of Radiology–certified medical physicist in the Department of Radiation Oncology at Stanford University. She completed her CAMPEP-accredited residency in Therapeutic Medical Physics at Stanford. Dr. Yang earned her M.S. in Medical Physics from Duke University and her Ph.D. in Biomedical Engineering - Medical Physics track from the University of Texas Southwestern Medical Center.
Her research focuses on the development and clinical translation of artificial intelligence methods to enhance radiation therapy, including applications in target segmentation, outcome prediction, and workflow optimization. She is a recipient of the American Association of Physicists in Medicine (AAPM) Research Seed Funding Grant. -
Hao Zhang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly InterestsFree-breathing gated CBCT acquisition on C-arm linear accelerator (LINAC) is time-consuming, typically requiring 2-8 min due to the repeated start-stop gantry motion synchronized with the respiratory gating signal. We propose a next-generation imaging paradigm, nonstop gated CBCT (ngCBCT), to substantially reduce acquisition time, lower imaging dose, and preserve image quality, thereby improving patient comfort and treatment accuracy.
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Kai Zhang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsMy research develops AI systems for biomedicine, with a focus on multimodal learning, foundation models, and self-improving AI. I study how models can integrate medical images, clinical text, EHRs, and biomedical knowledge to support diagnosis, clinical workflows, and scientific discovery, while improving through feedback, evaluation, and human-AI interaction.
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Xiaoxu Zhong
Postdoctoral Scholar, Radiation Physics
BioI am a Postdoctoral Fellow in the Guillem Pratx Lab, with an expertise in predictive modeling, algorithm development, and data science. I earned my Bachelor of Science and Master of Science degrees in Ocean Engineering from Shanghai Jiao Tong University. I then received a Ph.D. in Mechanical Engineering from Purdue University, where I focused on developing mathematical models and applying machine learning. My work uncovered the mechanisms behind autoinjectors, drug delivery, and cavitation bubbles, with applications in tumor treatment and the design of medical devices. Currently, I am combining computational modeling and experimental approaches to positron emission tomography imaging, aiming to improve tumor diagnosis and treatment. I am also investigating how ionizing radiation nucleates nano-sized bubbles.
