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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175291 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Be the first to leave a comment!