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IEEE Transactions on Medical Imaging, ISSN 0278-0062, 10/2008, Volume 27, Issue 10, pp. 1472 - 1483
The self-organizing mapping (SOM) and hierarchical clustering (HC) methods are integrated to detect brain functional activation; functional magnetic resonance... 
Data analysis | Merging | Lattices | Independent component analysis | functional magnetic resonance imaging (fMRI) | Magnetic analysis | self-organizing maps | Image analysis | Magnetic resonance imaging | hierarchical clustering analysis | spatio-temporal measure | Euclidean distance | Brain modeling | Pattern analysis | Correlation distance metric | Spatio-temporal measure | Functional magnetic resonance imaging (fMRI) | Hierarchical clustering analysis | Self-organizing maps | HUMAN BRAIN | ENGINEERING, BIOMEDICAL | LOW-FREQUENCY | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | PRINCIPAL COMPONENTS | INDEPENDENT COMPONENT ANALYSIS | ENGINEERING, ELECTRICAL & ELECTRONIC | HEMODYNAMIC-RESPONSE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | TIME-SERIES | correlation distance metric | NEURAL-NETWORK | BLIND SEPARATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FUNCTIONAL MRI DATA | INDIVIDUAL SUBJECTS | Reproducibility of Results | Evoked Potentials, Motor - physiology | Humans | Image Interpretation, Computer-Assisted - methods | Magnetic Resonance Imaging - methods | Male | Brain Mapping - methods | Brain - physiology | Algorithms | Sensitivity and Specificity | Adult | Female | Image Enhancement - methods | Cluster Analysis | Cluster analysis | Electronic data processing | Self-organizing systems | Design and construction | Methods | Brain | Integrated approach
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Brain Structure and Function, ISSN 1863-2653, 1/2015, Volume 220, Issue 1, pp. 101 - 115
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