6 search results - page 1 / 2 » Mutual information-based feature selection enhances fMRI bra... |
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
MICCAI
2010
Springer
13 years 2 months ago
2010
Springer
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
IJCAI
2007
13 years 6 months ago
2007
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...