Learnable Brain Connectivity Structures for Identifying Neurological Disorders

Learnable Brain Connectivity Structures for Identifying Neurological Disorders 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:

Brain networks/graphs have been widely recognized as powerful and efficient tools for identifying neurological disorders. In recent years, various graph neural network models have been developed to automatically extract features from brain networks. However, a key limitation of these models is that the inputs, namely brain networks/graphs, are …

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