‘medical imaging’
NSF grant supports alliance’s effort to boost AI-imaging in Middle Tennessee
Aug. 8, 2023—Vanderbilt researchers are part of an alliance supported by the National Science Foundation that seeks to build on the use of artificial intelligence (AI) in medical imaging in Middle Tennessee. Called the Mid-TN AI for Interdisciplinary Imaging Interpretation Alliance (AI4A), it is comprised of the School of Engineering, Vanderbilt University Medical Center, Fisk University, Tennessee...
Workshop offers insight on deep learning for medical imaging technology
Jun. 27, 2023—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...
Cancer Institute grant funds new integrated approach to early lung cancer detection
Jan. 22, 2021—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...
Researchers create technique that corrects distortions in MRI images
Nov. 11, 2020—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...
Vanderbilt computer scientists awarded NSF grant to restructure research’s road to the public
Sep. 22, 2020—Vanderbilt researchers have been awarded a National Science Foundation Convergence Accelerator 2020 Cohort Phase 1 grant to create a standardized platform that will streamline the development, testing and dissemination of technology that can improve human health. The nine-month project, “Scalable, Traceable AI for Imaging Translation: Innovation to Implementation for Accelerated Impact (STRAIT I3),” looks specifically...
Chang receives Early Career Award for advancing fMRI data analysis
Jul. 25, 2019—Catie Chang has received the 2019 Early Career Achievement Award from a society of the Institute of Electrical and Electronics Engineers. Chang, an assistant professor of computer science, electrical engineering and computer engineering, was honored this week at the IEEE Engineering in Medicine & Biology Society conference. Specifically, the award cites her “innovative contributions to...
Team shows MRI technique detects spinal cord changes in MS patients
Apr. 25, 2018—Magnetic resonance imaging can detect changes in resting-state spinal cord function in patients with multiple sclerosis, a new study by a Vanderbilt University Medical Center-led research team has shown. This first application of these measures in patients living with MS, reported recently in the journal Brain, could lead to new ways to monitor the effectiveness of...
VUIIS team shows white matter has encoded neural activity
Jan. 18, 2018—Researchers from the Vanderbilt University Institute of Imaging Science (VUIIS) have detected signals in the white matter of the brain that suggest it has more neural activity than previously thought. The findings of Zhaohua Ding, research associate professor of electrical engineering, computer science and biomedical engineering, and colleagues suggest a new way to investigate diseases...