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Group-Representative Functional Network Estimation from Multi-Subject fMRI Data via MRF-based Image Segmentation
We propose a novel two-phase approach to functional network estimation of multi-subject functional Magnetic Resonance Imaging (fMRI) data, which applies model-based image segmentation to determine a group-representative connectivity map.
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