5 search results - page 1 / 1 » Group MRF for fMRI Activation Detection |
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...
MICCAI
2010
Springer
13 years 3 months ago
2010
Springer
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
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...
IPMI
2005
Springer
14 years 5 months ago
2005
Springer
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...