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» Using Image Stimuli to Drive fMRI Analysis
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IJCAI
2007
13 years 6 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
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...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
TMI
2002
88views more  TMI 2002»
13 years 5 months ago
What is the best similarity measure for motion correction in fMRI time series?
It has been shown that the difference of squares cost function used by standard realignment packages (SPM and AIR) can lead to the detection of spurious activations, because the mo...
Luis Freire, Alexis Roche, Jean-Francois Mangin
IPMI
2003
Springer
14 years 6 months ago
Analysis of Event-Related fMRI Data Using Best Clustering Bases
We explore a new paradigm for the analysis of event-related functional magnetic resonance images (fMRI) of brain activity. We regard the fMRI data as a very large set of time serie...
François G. Meyer, Jatuporn Chinrungrueng
IPMI
2005
Springer
14 years 6 months ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen
ICASSP
2009
IEEE
14 years 2 days ago
Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...