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» Sparse Riemannian manifold clustering for HARDI segmentation
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ISBI
2011
IEEE
9 years 2 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
CVPR
2008
IEEE
11 years 21 days ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
MICCAI
2009
Springer
10 years 12 months ago
Brain Connectivity Using Geodesics in HARDI
We develop an algorithm for brain connectivity assessment using geodesics in HARDI (high angular resolution diusion imaging). We propose to recast the problem of nding bers bundles...
Mickaël Péchaud, Maxime Descoteaux, Re...
MICCAI
2009
Springer
10 years 11 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...
ECCV
2008
Springer
11 years 18 days ago
Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
This paper shows how computational Riemannian manifold can be used to solve several problems in computer vision and graphics. Indeed, Voronoi segmentations and Delaunay graphs comp...
Sébastien Bougleux, Gabriel Peyré, L...
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