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JMIV
2006
185views more  JMIV 2006»
13 years 8 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec
ICDCS
2008
IEEE
14 years 3 months ago
Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation
Resource discovery is an important process for finding suitable nodes that satisfy application requirements in large loosely-coupled distributed systems. Besides inter-node heter...
Michael Cardosa, Abhishek Chandra
ECML
2001
Springer
14 years 1 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
MICCAI
2009
Springer
14 years 6 months ago
A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning
Tetralogy of Fallot (ToF) is a severe congenital heart disease that mainly affects the right ventricle (RV). It requires surgical repair early in infancy. Chronic regurgitations ma...
Tommaso Mansi, Stanley Durrleman, Boris Bernhardt,...
ETVC
2008
13 years 10 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec