Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. - Ahmed El Gazzar; Leonardo Cerliani; Guido van Wingen; Rajat Mani Thomas (IJCNN, 2019)

A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study. - Ahmed El Gazzar; Mirjam Quaak; Leonardo Cerliani; Peter Bloem; Guido van Wingen; Rajat Mani Thomas (OR/MLCN@MICCAI, 2019)

Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. - Devanshu Arya; Richard Olij; Deepak K. Gupta; Ahmed El Gazzar; Guido van Wingen; Marcel Worring; Rajat Mani Thomas (MIDL, 2020)

Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling. - Ahmed El Gazzar; Rajat Mani Thomas; Guido van Wingen (MLCN@MICCAI, 2021)

fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models. - Ahmed El Gazzar; Rajat Mani Thomas; Guido van Wingen (MLCN@MICCAI, 2022)

Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models. - Ahmed El Gazzar; Rajat Mani Thomas; Guido A. van Wingen (CoRR, 2022)

Benchmarking Graph Neural Networks for FMRI analysis. - Ahmed El Gazzar; Rajat Mani Thomas; Guido van Wingen (CoRR, 2022)