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Titlebook: Machine Learning in Clinical Neuroimaging; 4th International Wo Ahmed Abdulkadir,Seyed Mostafa Kia,Thomas Wolfers Conference proceedings 20

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Structure-Function Mapping via Graph Neural Networksr morphological substrates. Many studies have investigated the problem from an eigendecomposition viewpoint, however, few have taken a deep learning viewpoint, even less studies have been engaged within the framework of graph neural networks (GNNs). As deep learning has produced significant results
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Constrained Learning of Task-Related and Spatially-Coherent Dictionaries from Task fMRI Dataimaging (fMRI) data by identifying broader temporal and spatial patterns of brain activity. However, prior applications of these methods to task-related fMRI data are not simultaneously optimized to find temporal patterns of activity that change in concert with changes in task conditions and spatial
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