School of Medicine
Showing 1-18 of 18 Results
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Jeya Maria Jose Valanarasu
Postdoctoral Scholar, Radiology
BioDr. Jeya Maria Jose Valanarasu is a postdoctoral scholar working with the Stanford Machine Learning Group and the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center). He leads the AI for Healthcare bootcamp with Dr. Andrew Ng, Dr. Curt Langlotz, and Dr. Nigam Shah which provides Stanford students an opportunity to engage in advanced research at the intersection of AI and healthcare.
He obtained his Ph.D. and M.S from Johns Hopkins University where he worked on various problems in Computer Vision, Machine Learning, and Healthcare. His research aims to overcome the challenges that arise when translating machine learning models to practical applications for healthcare and engineering sectors. His works have spanned over topics like designing effective deep architectures, model adaptability to changing environments, role of data and annotations, multi-modal learning and taming large models for computer vision and healthcare tasks. He has published over 25 peer-reviewed journal/conference articles at top venues and filed 3 U.S. patents. He has been awarded Amazon Research Fellowship 2022, Best Student Paper Awards at ICRA 2022, CVIP 2019, MICCAI Young Scientist Impact Award Finalist 2022, and the NIH MICCAI Award 2022. He has also served as a reviewer for multiple journals and conferences. -
Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
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Minal Vasanawala
Clinical Associate Professor (Affiliated), Rad/Nuclear Medicine
Staff, Radiology - Diagnostic RadiologyCurrent Research and Scholarly InterestsPET/MRI, PETCT, and SPECT/CT applications in neuroimaging
Cardiac SPECT/CT and PET/CTA -
Shreyas Vasanawala, MD/PhD
William R. Brody Professor of Pediatric Radiology and Child Health
On Partial Leave from 03/25/2024 To 04/14/2024Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.
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Manuela Vasquez
Administrative Associate, Radiology
BioAs an Administrative Associate, I am dedicated to keeping scientists organized, prioritized and less stressed. I practice a streamlined and intuitive approach to assistance.
I am open-arms to opportunities that will broaden my horizon. A team player, willing to lead or follow, eager to learn and is self-motivated. Committed to excellence in service.
My philosophy centers around what role I can play in helping others find solutions. Enthusiastic and personable, my passion is to contribute, support, and make a difference. -
Jacqueline Velazquez
Senior Administrative Associate, Radiology
Current Role at StanfordSupporting RSL Faculty:
Dr. Ennis, PhD
Dr. Setsompop, PhD
Dr. McNab, PhD -
Ophir Vermesh
Affiliate, Dean's Office Operations - Dean Other
Resident in RadiologyCurrent Research and Scholarly InterestsMy interests lie at the interface of medicine and technology, engineering new wearable and implantable technologies for earlier cancer detection and continuous monitoring. I am particularly interested in moving promising diagnostic technologies past the proof-of-concept phase and into the clinic.
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Alexander Michael Vezeridis, MD, PhD
Assistant Professor of Radiology (Interventional Radiology)
BioAlexander Vezeridis MD, PhD is an Assistant Professor of Radiology at Stanford University School of Medicine, and a physician-scientist specializing in Interventional Radiology. His clinical expertise includes interventional oncology, biliary disease and endoscopy, venous disease, portal hypertension, urologic interventions, women’s and men’s health interventions, and general vascular/interventional radiology.
Dr. Vezeridis is an active researcher with expertise in translational techniques in engineering to make image-guided interventions safer and more effective for patients.
Dr. Vezeridis obtained his undergraduate, MD, and PhD degrees from Boston University. He completed a two year post-doctoral training at UC San Diego in ultrasound molecular imaging under the auspices of the Cancer Researchers in Nanotechnology (CRIN) R25T, followed by residency and fellowship at UC San Diego.
Dr. Vezeridis is highly committed to training the next generation, including students, residents, fellows, and engineering graduate students through co-directing Bio301B.
Dr. Vezeridis has a strong interest in medical device development and commercialization, and completed the Stanford Biodesign Faculty Fellowship. -
Davis Vigneault
Affiliate, Dean's Office Operations - Dean Other
Resident in RadiologyBioDavis is a resident in diagnostic radiology at Stanford, having received his medical degree from Tufts University School of Medicine and his DPhil in Biomedical Engineering from the University of Oxford through the NIH-Oxford Scholars and medical scientist training programs. For his graduate degree, worked on novel algorithms for measuring regional cardiac function from cardiac CT and MR, publishing in Radiology, Medical Image Analysis, and the Journal of Cardiovascular Magnetic Resonance, among others. In addition to cardiovascular imaging and deep learning, Davis has a strong interest in open source science, having been a frequent contributor of software to ITK and other libraries in the ITK ecosystem.