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Medical Imaging

  • Michael Kim

    Michael Kim: Mapping the brain’s communication system

    Inspired by a childhood fascination with medical imaging, Vanderbilt Ph.D. graduate Michael Kim is using advanced brain imaging and AI to better understand Alzheimer's disease and healthy brain aging. His research is helping map the brain's communication pathways and could shape the future of precision medicine. Read More

    Jul 8, 2026

  • Workshop offers insight on deep learning for medical imaging technology

    Workshop offers insight on deep learning for medical imaging technology

    Vanderbilt researchers are hosting a free workshop on July 13 to shed more light on the Medical Open Network for Artificial Intelligence (MONAI). The daylong workshop is being held following the 2023 MIDL/NVIDIA Conference in Nashville and participation is in person or via Zoom. Registration for the daylong workshop opened on June 26, 2023. Project... Read More

    Jun 27, 2023

  • Vanderbilt University

    Vanderbilt computer scientist wins $3M grant to expand toolkit that tracks fetal growth during pregnancy

    Vanderbilt University computer scientist Ipek Oguz aims to expand a medical image analysis tool she developed that tracks placental growth in relation to fetal growth and could better identify at-risk pregnancies. Read More

    Mar 13, 2023

  • Cancer Institute grant funds new integrated approach to early lung cancer detection

    Cancer Institute grant funds new integrated approach to early lung cancer detection

    Vanderbilt researchers have received a National Cancer Institute grant to develop a novel, integrative approach to detect early signs of lung cancer. The four-year project builds on a related, recent study that established the value of using three separate measures—structural imaging, a protein marker and information available from electronic health records—to predict lung cancer in... Read More

    Jan 22, 2021

  • Researchers create technique that corrects distortions in MRI images

    Researchers create technique that corrects distortions in MRI images

    Perfecting MRI images with deep learning, Vanderbilt and VUMC researchers have created a technique that corrects image distortions, which provides more accurate information for researchers, radiologists and neuroscientists to better interpret brain scans. The work by Bennett Landman, professor of electrical engineering and computer science and radiology and radiological sciences, and Kurt Schilling, research assistant... Read More

    Nov 11, 2020