57 search results - page 5 / 12 » Parcellation of brain images with anatomical and functional ... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study the brai...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...
ISBI
2009
IEEE
14 years 2 months ago
2009
IEEE
Traditional fMRI analysis has focused on modeling temporal changes in BOLD signals on a voxel-by-voxel basis to infer brain activation. To incorporate spatial information, we have...