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» Subspace Models for Functional MRI Data Analysis
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114
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CVPR
2008
IEEE
14 years 9 months ago
Meshless deformable models for LV motion analysis
We propose a novel meshless deformable model for in vivo cardiac left ventricle (LV) 3D motion estimation. As a relatively new technology, tagged MRI (tMRI) provides a direct and ...
Xiaoxu Wang, Dimitris N. Metaxas, Ting Chen, Leon ...
ESANN
2004
14 years 11 months ago
Functional radial basis function networks
There has been recently a lot of interest for functional data analysis [1] and extensions of well-known methods to functional inputs (clustering algorithm [2], non-parametric model...
Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez...
76
Voted
IJCNN
2006
IEEE
15 years 3 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
CIVR
2007
Springer
139views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Video search in concept subspace: a text-like paradigm
Though both quantity and quality of semantic concept detection in video are continuously improving, it still remains unclear how to exploit these detected concepts as semantic ind...
Xirong Li, Dong Wang, Jianmin Li, Bo Zhang
ISBI
2007
IEEE
15 years 4 months ago
Statistical Shape Analysis via Principal Factor Analysis
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
Mauricio Reyes, Marius George Linguraru, Kostas Ma...