School of Medicine

Showing 581-590 of 665 Results

  • Amanda Tun

    Amanda Tun

    Affiliate, Radiology - Diagnostic Radiology

    BioAmanda Tun is a clinical research coordinator for the Department of Radiology at the Veterans Administration Palo Alto Health Care System (VAPAHCS) and Stanford University School of Medicine. Currently, she oversees multiple clinical trials, specifically biobanking for lung cancer screenings receiving low dose helical computed tomography scans and cardiac magnetic resonance imaging, and assists in the establishment of a radiology research center at VAPAHCS. She also collaborates with the VAPAHCS's Cardiology research team on several projects to compile cardiovascular and other prognostic parameters into databases for research purposes.

  • Muhammad Nasir Ullah

    Muhammad Nasir Ullah

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    BioMuhammad Nasir Ullah has received a BS degree in Electronic Engineering from International Islamic University, Islamabad (IIUI) Pakistan in Jun 2012 and an integrated MS + Ph.D. degree in Bio-Convergence Engineering from Korea University, Seoul, South Korea under the supervision of Professor Jung-Yeol Yeom in Feb 2020. His Ph.D. thesis was focused on detector design for Nuclear Medicine (NM) system and NM-Ultrasound hybrid systems.
    His area of research interest is radiation detection and measurement for medical applications. He has been working on detector design for Positron Emission Tomography (PET) system, intraoperative gamma probe detector, beta/gamma discrimination, and hybrid Ultrasound-gamma probe. He has also been working on frontend discrete circuit designs for various types of radiation and Ultrasound (US) detectors. He has published 6 peer-reviewed articles as the first author while 2 as co-author. He also has 4-patents under his name in S. Korea.

  • Goutham Vaidhyanathan Ganesh

    Goutham Vaidhyanathan Ganesh

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

  • Yael Vainberg

    Yael Vainberg

    Associate Clinical Research Coordinator, Rad/Musculoskeletal Imaging

  • Jeya Maria Jose Valanarasu

    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.

  • Vol Van Dalsem

    Vol Van Dalsem

    Clinical Professor, Radiology

  • Eric K. van Staalduinen

    Eric K. van Staalduinen

    Clinical Assistant Professor, Radiology

  • Henk van Voorst

    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.

  • Minal Vasanawala

    Minal Vasanawala

    Clinical Associate Professor (Affiliated), Rad/Nuclear Medicine
    Staff, Radiology - Diagnostic Radiology

    Current Research and Scholarly InterestsPET/MRI, PETCT, and SPECT/CT applications in neuroimaging
    Cardiac SPECT/CT and PET/CTA

  • Shreyas Vasanawala, MD/PhD

    Shreyas Vasanawala, MD/PhD

    William R. Brody Professor of Pediatric Radiology and Child Health

    Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.