Rate My Professor Sarang Joshi

Joshi's research centers on Computational Anatomy, focusing on mathematical and computational tools for analyzing anatomical variability to enhance medical diagnosis, treatment, and disease understanding, including image registration and segmentation. He holds numerous patents in these areas. Key publications include "On geodesic completeness for Riemannian metrics on smooth probability densities" (Calculus of Variations and Partial Differential Equations, 2017), "Hierarchical geodesic models in diffeomorphisms" (International Journal of Computer Vision, 2016), "Diffeomorphic density matching by optimal information transport" (SIAM Journal on Imaging Sciences, 2015), "Intrinsic polynomials for regression on Riemannian manifolds" (Journal of Mathematical Imaging and Vision, 2014), and "Sparse adaptive parameterization of variability in image ensembles" (International Journal of Computer Vision, 2013). His contributions have earned the 2007 ICCV David Marr Best Paper Award, Signal Processing 2010 Most Cited Paper Award, MICCAI 2010 Best of the Journal Issue Award, and induction into the AIMBE College of Fellows. With 18,123 citations, an h-index of 65, and i10-index of 153, Joshi's work profoundly impacts computational medical imaging.