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» Diffusion on Statistical Manifolds
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CVPR
2008
IEEE
14 years 9 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
ISBI
2004
IEEE
14 years 8 months ago
Towards a Shape Model of White Matter Fiber Bundles Using Diffusion Tensor MRI
White matter fiber bundles of the human brain form a spatial pattern defined by the anatomical and functional architecture. Human brain atlases provide names for individual tracts...
Isabelle Corouge, Guido Gerig, Sylvain Gouttard
CVPR
2009
IEEE
15 years 2 months ago
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
High angular resolution diffusion imaging has become an important magnetic resonance technique for in vivo imaging. Most current research in this field focuses on developing met...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...
TVCG
2010
157views more  TVCG 2010»
13 years 5 months ago
Crease Surfaces: From Theory to Extraction and Application to Diffusion Tensor MRI
—Crease surfaces are two-dimensional manifolds along which a scalar field assumes a local maximum (ridge) or a local minimum (valley) in a constrained space. Unlike isosurfaces, ...
Thomas Schultz, Holger Theisel, Hans-Peter Seidel
VMV
2000
157views Visualization» more  VMV 2000»
13 years 8 months ago
Visualization of Principal Curvature Directions by Anisotropic Diffusion
Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
Udo Diewald, Martin Rumpf