Ahmed El-Gazzar
Ahmed El-Gazzar
Postdoctoral Researcher at Donders institute for brain cognition and behaviour
Verified email at
Cited by
Cited by
Classifying autism spectrum disorder using the temporal statistics of resting-state functional MRI data with 3D convolutional neural networks
RM Thomas, S Gallo, L Cerliani, P Zhutovsky, A El-Gazzar, G Van Wingen
Frontiers in psychiatry 11, 533943, 2020
A hybrid 3DCNN and 3DC-LSTM based model for 4D spatio-temporal fMRI data: an ABIDE autism classification study
A El-Gazzar, M Quaak, L Cerliani, P Bloem, G van Wingen, ...
International Workshop on OR 2.0 Context-Aware Operating Theaters, 95-102, 2019
Simple 1-D convolutional networks for resting-state fMRI based classification in autism
A El Gazzar, L Cerliani, G van Wingen, RM Thomas
2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019
Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
S Gallo, A El-Gazzar, P Zhutovsky, RM Thomas, N Javaheripour, M Li, ...
Molecular Psychiatry 28 (7), 3013-3022, 2023
Fusing structural and functional MRIs using graph convolutional networks for autism classification
D Arya, R Olij, DK Gupta, A El Gazzar, G Wingen, M Worring, RM Thomas
Medical imaging with deep learning, 44-61, 2020
Non-Contact manipulation of microbeads via pushing and pulling using magnetically controlled clusters of paramagnetic microparticles
AG El-Gazzar, LE Al-Khouly, A Klingner, S Misra, ISM Khalil
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Dynamic adaptive spatio-temporal graph convolution for fMRI modelling
A El-Gazzar, RM Thomas, G van Wingen
Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021
Benchmarking graph neural networks for fMRI analysis
A ElGazzar, R Thomas, G Van Wingen
arXiv preprint arXiv:2211.08927, 2022
Improving the diagnosis of psychiatric disorders with self-supervised graph state space models
AE Gazzar, RM Thomas, G Van Wingen
arXiv preprint arXiv:2206.03331, 2022
Medical imaging with deep learning
D Arya, R Olij, DK Gupta, A El Gazzar, G Wingen, M Worring, RM Thomas
PMLR,, 2020
Harmonization techniques for machine learning studies using multi-site functional MRI data
A El-Gazzar, RM Thomas, G van Wingen
bioRxiv, 2023.06. 14.544758, 2023
fMRI-S4: learning short-and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models
A El-Gazzar, RM Thomas, G Van Wingen
International Workshop on Machine Learning in Clinical Neuroimaging, 158-168, 2022
Analytical Characterization of Epileptic Dynamics in a Bistable System
Y Qin, A El-Gazzar, DS Bassett, F Pasqualetti, M van Gerven
arXiv preprint arXiv:2404.03409, 2024
Universal Differential Equations as a Common Modeling Language for Neuroscience
A ElGazzar, M van Gerven
arXiv preprint arXiv:2403.14510, 2024
Phenotyping functional brain dynamics: A deep learning prespective on psychiatry
A Elgazzar
A Dynamical Systems Approach to Optimal Foraging
S Chaturvedi, A ElGazzar, M Gerven
bioRxiv, 2024.01. 20.576399, 2024
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