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» Data Mining from Functional Brain Images
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ISBI
2009
IEEE
15 years 11 months ago
A Physical Basis for Multi-Fiber Reconstruction from DW-MRI Data
Recently various mathematical models have been proposed to model the signal attenuation obtained from Diffusion Weighted Magnetic Resonance Imaging (DW-MRI). Though effective to v...
Ritwik Kumar, Angelos Barmpoutis, Baba C. Vemuri, ...
ICASSP
2007
IEEE
15 years 11 months ago
Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
Thomas Vincent, Philippe Ciuciu, Jérô...
MICCAI
2005
Springer
16 years 5 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
ICASSP
2009
IEEE
15 years 11 months 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...
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RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
15 years 10 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak