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In this paper, we introduce the novel concept of Graph Convolutional Networks (GCN) for brain analysis in populations, combining imaging and non-imaging data. slot jingga 888 We represent populations as a sparse graph where its vertices are associated with image-based feature vectors and the edges encode phenotypic information
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