School of Medicine
Showing 641-650 of 671 Results
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Johnny (Yue) Yang
Ph.D. Student in Biomedical Physics, admitted Autumn 2026
BioJohnny (Yue) Yang's research focuses on Computer-Assisted Intervention, Human-Computer Interaction, and Extended Reality (XR). He is actively researching empowering technologies like Augmented Reality and Surgical Robots to help surgeons perform surgery. Before joining Stanford, he graduated from Johns Hopkins University with a double major in Applied Mathematics and Public Health Studies. He has published in venues like CHI, IEEE-TVCG, etc.
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Zijian Yang
Postdoctoral Scholar, Radiology
BioI have long term interest in combining advanced science and technology to provide next generation healthcare system.
To reach that goal, I have developed machine learning based diagnosis model on the software end, which is combined with my hardware end work including wearable/flexible electronics and microelectronic/microfludic platforms. -
Byung Chul Yoon, MD, PhD ("Jason")
Assistant Professor of Radiology (Veterans Affairs)
Current Research and Scholarly Interests1. Alzheimer Disease and amyloid-related imaging abnormalities (ARIA)
2. Low-intensity focused ultrasound (LIFU)
3. Ultrasound imaging -
Luke S. Yoon, MD
Clinical Professor, Radiology
BioLuke Yoon, MD, is Clinical Professor and Associate Chair of Faculty Well-being and Development in the Department of Radiology at Stanford University School of Medicine. Dr. Yoon is a radiologist specializing in body imaging and musculoskeletal imaging. A graduate of Yale College and Yale School of Medicine, Dr. Yoon completed his post-graduate training at Harvard affiliated hospitals: internal medicine internship at Brigham and Women’s Hospital, and radiology residency and fellowship at Massachusetts General Hospital. Prior to joining Stanford Radiology, Dr. Yoon worked as an attending radiologist at Brigham and Women’s Hospital, Singleton Associates, and Baylor College of Medicine. His clinical interests include physician well-being, cystic renal mass imaging, and liver mass classification.
