Stanford University
Showing 161-170 of 176 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. -
Juwon Yoo
Affiliate, Radiation Oncology
Biojuwon.yoo@berkeley.edu
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Sandra Zaky
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
BioDr. Zaky is a board certified Radiation Oncologist. She received a Bachelor’s of Science in Biomedical/Electrical Engineering at Marquette University. She worked in research and development as an Engineer, and eventually received a Masters of Science in Immunology from Albany Medical College. Her research thesis focused on a novel therapy to treat hormone-receptor positive breast cancer. She continued to study breast cancer with her research during her Radiation Oncology residency; she integrated her research in the laboratory with her clinical research in triple-negative breast cancer. Since completing residency, she has worked as a general radiation oncologist, and her special interests include breast cancer, skin cancer, CNS tumors and stereotactic radiotherapy.
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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.
