Ahmed El Gazzar

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Spatio Temporal

Dynamically Adjust

Top Venues

Publications

Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models. MLCN@MICCAI (2022)
Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models. CoRR (2022)
Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models. CoRR (2022)
Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
Benchmarking Graph Neural Networks for FMRI analysis. CoRR (2022)
Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling. CoRR (2021)
Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling. MLCN@MICCAI (2021)
Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL (2020)
Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. CoRR (2020)
Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. CoRR (2019)
Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study. OR/MLCN@MICCAI (2019)
Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. IJCNN (2019)