School of Medicine
Showing 31-40 of 48 Results
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Margaret Chin-Chin Lin
Clinical Associate Professor, Radiology
BioDr. Margaret Lin is a board certified radiologist with subspecialty training in thoracic and cardiovascular imaging. Dr. Lin specializes in diseases affecting the lungs and airways, including cancer, infection, and interstitial and inhalational lung diseases. Her clinical expertise also includes diseases of the cardiovascular system, such as coronary artery disease, aortic dissection and aneurysm, and pulmonary thromboembolic disease. As an Associate Program Director for the Diagnostic Radiology Residency at Stanford, Dr. Lin focuses on resident education and development of curricula and new educational tools.
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Jafi Alyssa Lipson
Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsDr. Lipson's research interests include breast density and breast cancer risk assessment; informatics applications in breast imaging; early breast cancer detection and extent of disease evaluation using contrast enhanced mammography, digital breast tomosynthesis, and high resolution breast MRI; novel blood and imaging biomarkers of breast cancer burden and neoadjuvant treatment response; and image-guided wireless localization techniques for breast surgery.
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Dr. Don Listwin
Adjunct Professor, Rad/Canary Center at Stanford for Cancer Early Detection
BioDon Listwin is Founder of the Canary Foundation which is dedicated to research in the field of early detection of cancer. Together with Dr. Sanjiv (Sam) Ghambir, they created and built the Canary Center @ Stanford. Don can be reached at: dj22listwin@canaryfoundation.org
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Yongkai Liu
Postdoctoral Scholar, Radiology
BioDr. Yongkai Liu is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging, led by Drs. Greg Zaharchuk and Michael Moseley. His interests lie in developing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially stroke, using imaging and deep learning.
Before joining Stanford, he earned a Ph.D. from UCLA, majoring in Physics and Biology in Medicine, under the supervision of Prof. Kyung Sung. This gave him a solid foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled "Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence," focused on the development of advanced deep learning and machine learning techniques specifically for MRI-based clinical applications. During his master's degree, he studied CT Virtual Colonoscopy under the supervision of Prof. Jerome Liang. In addition, he served as a reviewing editor for Frontiers in Oncology and as a peer reviewer for several critical journals in medical imaging, such as IEEE Transactions on Medical Imaging (TMI), Medical Physics, IEEE Transactions on Radiation and Plasma Medical Sciences, and IEEE Transactions on Biomedical Engineering.
Dr. Liu is an emerging leader in neuroimaging, stroke, and AI, earning widespread recognition for his work. His being named a recipient of the 2024 David M. Yousem Research Fellow Award and a semi-finalist for the 2024 Cornelius G. Dyke Award from the American Society of Neuroradiology underscores his potential to make significant future contributions.(https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html) -
Michael Loecher
Physical Science Research Scientist, Rad/Radiological Sciences Laboratory
BioMy research focuses primarily on improving methods for measuring flow and motion with MRI. My research interests range from image acquisition and reconstruction to error correction and post processing strategies.
