Stanford University


Showing 31-40 of 50 Results

  • Congyu Liao

    Congyu Liao

    Instructor, Radiology

    BioCongyu Liao is an Instructor in the Division of Radiological Sciences Laboratory (RSL). Dr. Liao received his PhD in Biomedical Engineering from Zhejiang University in China in 2018. Following the completion of his PhD, he was appointed Postdoctoral Research Fellow at Massachusetts General Hospital/Harvard University under Kawin Setsompop, PhD, where his research was focused on improving the efficiency of data acquisition/reconstruction in MRI. In 2021, he came to Stanford to join Dr. Setsompop’s lab as a Postdoctoral Scholar in RSL where his research is focused on developing new technology for diffusion and quantitative MRI. Dr. Liao has received many awards including the Summa Cum Laude Merit Award from the International Society for Magnetic Resonance in Medicine and the Outstanding Research Award from the Overseas Chinese Society for Magnetic Resonance in Medicine.

  • Margaret Chin-Chin Lin

    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. Dr. Lin has a passion for resident education and development of curricula and new educational tools. She is the current Program Director for the Diagnostic Radiology Residency Program.

  • Jafi Alyssa Lipson

    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.

  • Dr. Don Listwin

    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

  • Yongkai Liu

    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 Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.

    Dr. Liu is an emerging leader in neuroimaging, stroke, and AI, earning widespread recognition for his work. Being named the recipient of the 2024 AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award, and a semi-finalist for the 2024 Cornelius G. Dyke Award underscores his potential to make significant future contributions. (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html)