Predicting gender and cognitive scores from structural and functional connectome
Neuroimaging studies have extensively utilised graph convolution networks (GCNs) to model brain connectivity for predicting cognitive behaviours and gender. However, the integration of the structural connectivity (SC) and functional connectivity (FC) to enhance prediction accuracy remains relatively...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175291 |