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» Statistical Analysis of Structural Brain Connectivity
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ISBI
2008
IEEE
13 years 11 months ago
On the non-uniform complexity of brain connectivity
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...
Gloria Haro, Christophe Lenglet, Guillermo Sapiro,...
MICCAI
2004
Springer
14 years 5 months ago
A Statistical Shape Model of Individual Fiber Tracts Extracted from Diffusion Tensor MRI
Diffusion Tensor MRI has become the preferred imaging modality to explore white matter structure and brain connectivity in vivo. Conventional region of interest analysis and voxel-...
Isabelle Corouge, Sylvain Gouttard, Guido Gerig
NN
2007
Springer
13 years 4 months ago
Topological relationships between brain and social networks
Brains are complex networks. Previously, we revealed that specific connected structures are either significantly abundant or rare in cortical networks. However, it remains unkno...
Shuzo Sakata, Tetsuo Yamamori
PAMI
1998
131views more  PAMI 1998»
13 years 4 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...
MICCAI
2007
Springer
14 years 5 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...