Dr. Masotti develops statistical methods for data derived from medical imaging processes. This data presents unique challenges such as spatial and temporal autocorrelation and high dimensionality.
Image: Dr. Masotti developed a 3D boundary detection algorithm for discovering prostate cancer lesions non-invasively via multi-parametric MRI. This image displays the different theoretical tumor volumes in blue and the estimated boundary surface in red.
Accomplishments and Awards
- 2023 Propelling Original Data Science (PODS) Grant Award: MI-SPACE: Multiplex Imaging based Spatial Analysis for Discovery of Cellular Interactions in the Tumor Microenvironment