School of Medicine
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Affiliate, Dean's Office Operations - Dean Other
Resident in Radiology
BioWenhui was born in Southeast China and then immigrated to the San Francisco Bay Area as a teenager. He attended the University of California, Davis under a Regent Scholarship, and graduated with highest honors in Biochemistry and Molecular Biology. Wenhui subsequently pursued training in medicine and translational research in the Medical Scientist Training Program (MSTP) at Tufts University. In the Laboratory of Dr. Charlotte Kuperwasser, Wenhui studied the regulation and function of transcription factors in triple-negative breast cancer with the goal of improving cancer diagnosis and therapeutics. Additionally, he pursued clinical research examining image-guided ablative therapy as a front-line treatment option for renal cancer under the mentorship of Dr. Ronald Arellano at Massachusetts General Hospital. Outside of his clinical and academic interests, Wenhui enjoys food, taking walks, listening to NPR, and spending time with family and friends.
Postdoctoral Research Fellow, Radiology
BioYuyin Zhou is currently a Postdoctoral Fellow at Stanford. Her research interests span the fields of medical image computing, computer vision, and machine learning, especially the intersection of them. Yuyin received her Ph.D. degree in Computer Science from Johns Hopkins University, advised by Bloomberg Distinguished Professor Alan Yuille. Her project with Johns Hopkins Medicine on organ segmentation has been featured on National Public Radio. Yuyin has published over 20 peer-reviewed papers including top-tier venues such as CVPR, ICCV, AAAI, MICCAI, TMI, and MedIA, and was the runner-up in MICCAI 2018 - Computational Precision Medicine: Pancreatic Cancer Survival Prediction Challenge. She also interned at Google Cloud AI and Google Brain.
Temp - Non-Exempt, Rad/Veterans Affairs
BioI am a visiting graduate student researcher under supervision of Dr. Dan Ennis at Radiological Sciences Laboratories and VA Palo Alto. My current research interests include in vitro cardiovascular magnetic resonance flow imaging, patient-specific image-based modeling, and quantitative flow image analysis. In collaboration with the 3DQLAB at Stanford Radiology, we have been devloping a fully MRI-compatible cardiovascular flow loop setup which is able to embed subject-specific and compliant vessel models under physiological pressure and flow conditions. One focus has been the integration of a patient-specific type-B aortic dissection model to study flow and pressure in true and false lumen.
Clinical Associate Professor, Radiology - Pediatric Radiology
BioDr. Zucker is a board-certified pediatric and cardiovascular radiologist with a special interest in CT and MRI for congenital heart disease.