Medical-image Analysis and Statistical Interpretation Lab (MASI)
Robust image analysis designs, learning with imperfect / multi-modal data, and algorithm harmonization.
Director: Bennett Landman
https://my.vanderbilt.edu/masi/
The MASI research laboratory concentrates on analyzing large-scale cross-sectional and longitudinal medical imaging data. Specifically, we are interested in population characterization with magnetic resonance imaging (MRI), multi-parametric studies (DTI, sMRI, qMRI), computed tomography (CT), and shape modeling. Our expertise is in robust image analysis designs, learning with imperfect / multi-modal data, and algorithm harmonization.