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FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation. (arXiv:2205.12465v1 [cs.LG])
May 26, 2022, 1:10 a.m. | Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang
cs.LG updates on arXiv.org arxiv.org
Functional magnetic resonance imaging (fMRI) is one of the most common
imaging modalities to investigate brain functions. Recent studies in
neuroscience stress the great potential of functional brain networks
constructed from fMRI data for clinical predictions. Traditional functional
brain networks, however, are noisy and unaware of downstream prediction tasks,
while also incompatible with the deep graph neural network (GNN) models. In
order to fully unleash the power of GNNs in network-based fMRI analysis, we
develop FBNETGEN, a task-aware and interpretable …
More from arxiv.org / cs.LG updates on arXiv.org
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