Stanford University


Showing 1-10 of 10 Results

  • Abhi Jain

    Abhi Jain

    Clinical Assistant Professor, Radiology

    BioDr. Jain is a neuroradiologist and a Certified Imaging Informatics Professional (CIIP) whose academic work bridges day-to-day neuroradiology practice with imaging informatics and clinically grounded artificial intelligence (AI).

    His clinical research interests include quantitative imaging and radiomics in cerebrovascular disease, with particular emphasis on intracerebral hemorrhage (ICH), and imaging biomarkers in the aging brain and neurodegeneration, including limbic-predominant age-related TDP-43 encephalopathy (LATE).

    His AI/informatics and quality-improvement interests include large language models (LLMs) for radiology reporting support and clinical decision support, with an emphasis on real-world evaluation and workflow integration.

    His education interests focus on modern, technology-enabled neuroradiology teaching, including tailored language models and extended reality (XR; augmented/virtual/mixed reality) approaches to strengthen trainee learning.

  • Michelle L. James

    Michelle L. James

    Associate Professor of Radiology (Molecular Imaging Program at Stanford) and of Neurology and Neurological Sciences (Neurology Research)

    Current Research and Scholarly InterestsThe primary aim of my lab is to improve the diagnosis and treatment of brain diseases by developing translational molecular imaging agents for visualizing neuroimmune interactions underlying conditions such as Alzheimer’s disease, multiple sclerosis, and stroke.

  • Praveen Jayapal

    Praveen Jayapal

    Clinical Assistant Professor, Radiology - Pediatric Radiology

    BioDr. Praveen Jayapal is a board-certified radiologist and Assistant Professor of Radiology at Stanford University, specializing in body imaging for both adult and pediatric patients, with a particular focus on MRI. His clinical expertise includes fetal imaging and pediatric musculoskeletal (MSK) imaging. Dr. Jayapal's primary practice is based at 450 Broadway Pavilion B in Redwood City, where he is dedicated to serving the underserved community through the Conrad 30 program. His academic interests center on developing fast MRI techniques to improve access to high-quality imaging, especially in resource-limited settings.

  • R Brooke Jeffrey

    R Brooke Jeffrey

    Professor of Radiology (Body Imaging), Emeritus

    Current Research and Scholarly InterestsPancreatic MDCT
    Thyroid ultrasound/biopsy
    Virtual Colonoscopy
    Imaging of appendicitis
    Hepatic MDCT
    Capsule ultrasound (wireless) of GI tract

  • Jorgen Arendt Jensen

    Jorgen Arendt Jensen

    Visiting Professor, Radiology - Rad/Molecular Imaging Program at Stanford

    BioI am a professor of Biomedical Signal Processing at the Department of Health Technology (DTU Health), Technical University of Denmark (www.dtu.dk). My main interests are the application of digital signal processing to medical ultrasound, especially synthetic aperture imaging, vector flow imaging, super-resolution, GPU-based beamforming and implementation, and ultrasound simulation.

    I received the M.Sc. in electrical engineering in 1985, the Ph.D. in 1989 for work on deconvolution, and the Dr. Techn. degree in 1996 for my work on blood velocity estimation in the book: "Estimation of Blood Velocities Using Ultrasound, A Signal Processing Approach", which was published by Cambridge University Press in 1996. I have been a full professor at DTU since 1993, and I have been a visiting scientist at Duke University, North Carolina, Stanford University, California, and the University of Illinois at Urbana-Champaign, all in the US. I became an IEEE Fellow in 2012.

    I have founded and headed the Center for Fast Ultrasound Imaging (www.cfu.dtu.dk) since 1998. Currently, I am a visiting Professor in the Department of Radiology at Stanford University, CA, USA, courtesy of Professors Katherine Ferrara and Jeremy Dahl, until August 2026. I will be working here on our super-resolution method, SURE, using the Stanford large-element arrays for the acquisition of clinical data. I am also writing a book on advanced ultrasound imaging, drawing on my 40 years in the field.

    Link to home page: https://home.healthtech.dtu.dk/jaj/, which has a publication list.