Xavier Pennec

Research interests

My research interest is at the intersection of statistics, differential geometry, computer science and medicine. I am particularly interested in the mathematics involved in computational anatomy: geometric statistics involve statistical computing on Riemannian manifolds and other geometric structures (Lie groups, quotient spaces, stratified spaces, information geometry...). I contributed mathematically grounded methods and algorithms for medical image registration, statistics on shapes, and their translation to clinical research applications.


Publication record:

Google scholar, ResearcherID, Scopus, ORCID, DBLP, Pubmed.

Complete bibliography:

New book Riemannian Geometric Statistics in Medical Image Analysis

This is the 3rd book of Elsevier and MICCAI Society book series. This book aims at being a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology with 5 chapters and 11 contributed chapters on state-of-the-art methods for applications.



Videos of some of my presentations

Conferences and Workshops


Vitae (english)

[Home page] [Asclepios team home page]

Xavier Pennec