Skip to main content

Vanderbilt Institute for Surgery and Engineering

Vanderbilt Institute for Surgery and Engineering

Home » Personnel » Bennett Landman

Bennett Landman

Director, Vanderbilt Lab for Immersive AI Translation (VALIANT), Stevenson Chair, Professor of Electrical and Computer Engineering

Education

Ph.D. 2008 Biomedical Engineering
Johns Hopkins University School of Medicine, Baltimore, MD
Thesis: Diffusion Imaging of the In Vivo Spinal Cord and Cerebellum
Advised by Jerry Prince and Susumu Mori. Image Analysis and Communications Laboratory.

M.Eng. 2002 Electrical Engineering and Computer Science
Massachusetts Institute of Technology, Cambridge, MA
Thesis: Broadband Nanosensing using Heterodyne Interferometry.
Advised by Dennis Freeman. Research Laboratory for Electronics.

B.S. 2001 Electrical Engineering and Computer Science
Massachusetts Institute of Technology, Cambridge, MA
Minors in Mechanical Engineering and Economics.

Project

Dr. Landman leads the Medical‐image Analysis and Statistical Interpretation (MASI) lab at Vanderbilt University. His scientific focus is medical image processing with robust and scalable methods for large-scale data analysis. With primary training is in neuroimaging with a focus on diffusion weighted magnetic resonance imaging, and he has worked on Alzheimer’s disease and aging research since 2008. While his academic home is in electrical and computer engineering, Dr. Landman’s training is in biomedical engineering and 3-D radiological image analysis. He seeks to connect the image processing methods with both the medical physics underpinning of the data and their clinical applications. Dissemination and support of image processing tools is a core component of his lab’s interests, and his team constructed a university wide medical image processing system that handles data for 400+ IRB approved projects with more than 100,000 imaging sessions (December 2020). Their system links closely with the university’s high-performance computing center for automated processing of structural, functional, and diffusion MRI data. Dr. Landman’s overarching goal is to combine image-processing technologies and electronic health data to improve understanding of individual anatomy and personalized medicine.

Research Interest

Magnetic resonance imaging & statistical analysis with emphasis on medical imaging.

Landman discusses the Medical-image Analysis and Statistical Interpretation Lab (MASI).

Areas of Research: Big Data, Image Processing, Imaging