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» Analysis of Functional MRI Data Using Mutual Information
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MICCAI
2004
Springer
14 years 1 months ago
Detecting Functional Connectivity of the Cerebellum Using Low Frequency Fluctuations (LFFs)
Abstract. So far, resting state functional connectivity (RSFC) has been performed mainly by seed correlation analysis (SCA) on functional MRI (fMRI) studies. In previous studies, t...
Yong He, Yufeng Zang, Tianzi Jiang, Meng Liang, Ga...
CORR
2007
Springer
100views Education» more  CORR 2007»
13 years 8 months ago
Identifying statistical dependence in genomic sequences via mutual information estimates
Questions of understanding and quantifying the representation and amount of information in organisms have become a central part of biological research, as they potentially hold th...
H. M. Aktulga, I. Kontoyiannis, L. A. Lyznik, Luka...
IPMI
2001
Springer
14 years 9 months ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...
ICA
2007
Springer
14 years 2 months ago
Mutual Interdependence Analysis (MIA)
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
Heiko Claussen, Justinian Rosca, Robert I. Damper
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 3 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun