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» Analysis of Functional Magnetic Resonance Imaging in Python
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ICIP
2000
IEEE
14 years 9 months ago
Clustered Component Analysis for FMRI Signal Estimation and Classification
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
Charles A. Bouman, Sea Chen, Mark J. Lowe
ISBI
2004
IEEE
14 years 8 months ago
Clustering-Based Framework for Comparing fMRI Analysis Methods
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh, A...
ISBI
2011
IEEE
12 years 11 months ago
Quantitative comparison of tracking methods for motion analysis in tagged MRI
Myocardial tagging in magnetic resonance imaging (MRI) has shown great potential for noninvasive measurement of the motion of a beating heart. A critical issue in exploiting this ...
Ihor Smal, Noemí Carranza-Herrezuelo, Stefa...
ISBI
2008
IEEE
14 years 8 months ago
Increased sensitivity in FMRI group analysis using mixed-effect modeling
In functional Magnetic Resonance Imaging group studies, uncertainties on the individual BOLD responses are not taken into account by standard detection procedures, which may limit...
Merlin Keller, Alexis Roche
ISBI
2002
IEEE
14 years 8 months ago
A spatially robust ICA algorithm for multiple fMRI data sets
In this paper we derive an independent-component analysis (ICA) method for analyzing two or more data sets simultaneously. Our model extracts independent components common to all ...
Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, J...