no code implementations • 7 Jun 2022 • Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
We show that combining the framework and Graph-S4 can significantly improve the diagnostic performance of neuroimaging-based single subject prediction models of MDD and ASD on three open-source multi-center rs-fMRI clinical datasets.
no code implementations • MIDL 2019 • Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas
We alleviate the use of such non-imaging metadata and propose a fully imaging-based approach where information from structural and functional Magnetic Resonance Imaging (MRI) data are fused to construct the edges and nodes of the graph.
no code implementations • 2 Jul 2019 • Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas
Deep learning methods are increasingly being used with neuroimaging data like structural and function magnetic resonance imaging (MRI) to predict the diagnosis of neuropsychiatric and neurological disorders.