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Decoding graph neural networks for prediction of alzheimer's disease from neuroimaging and omics datasets
The project aims to predict and carry out decoding to identify structural features of importance. The project aims to deploy the JOIN-GCLA model for classification and uses IG attribution for decoding.
Chockalingam Kasi
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Decoding graph neural networks for prediction of alzheimer's disease from neuroimaging and omics datasets