Predicting gender from structural and functional connectome via multi-view graph neural networks

Predicting gender from structural and functional connectome via multi-view graph neural networks

Neuroimaging data are high dimensional and scarce. This causes overfitting to be a significant problem during model training, which is detrimental to the generalizability of the trained model. Using multiple modalities can introduce valuable complementary information between different neuroimaging m...

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Bibliographic Details
Main Author: He, Yinan
Other Authors: Jagath C Rajapakse
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/166152

Internet

https://hdl.handle.net/10356/166152

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