Search Results for author: Ahmed El Gazzar

Found 3 papers, 0 papers with code

Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models

no code implementations7 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.

Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification

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.

Disease Prediction

Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism

no code implementations2 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.

General Classification

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