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Biographie et livres de Stefan Sommer

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Stefan Sommer’s research focus is on modeling and statistics of non-linear data with application to shape spaces, functional data analysis, and image registration. This includes foundational and algorithmic aspects of statistics on manifold valued data, and computational modeling and statistical analysis of deformations occurring in computational anatomy.
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Riemannian Geometric Statistics in Medical Image Analysis

Tom Fletcher , Stefan Sommer , Xavier Pennec


Academic Press

2019-09-02

epub sans DRM

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational...

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