ICONIP
2007
13 years 6 months ago
2007
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
ICIP
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
MICCAI
2009
Springer
14 years 5 months ago
2009
Springer
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...