MCS
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
ESCIENCE
2006
IEEE
13 years 8 months ago
2006
IEEE
Grid technology can offer a powerful infrastructure for a broad spectrum of (scientific) application areas, but the uptake of grids by "real" applications has been slow....
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Noise confounds present serious complications to accurate data analysis in functional magnetic resonance imaging (fMRI). Simply relying on contextual image information often resul...
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
CCGRID
2007
IEEE
13 years 11 months ago
2007
IEEE
Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
ISCAS
2008
IEEE
13 years 11 months ago
2008
IEEE
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
ISBI
2008
IEEE
13 years 11 months ago
2008
IEEE
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine asso...
9
Voted
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...