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Ahmed El-Gazzar
Ahmed El-Gazzar
Postdoctoral Researcher at Donders institute for brain cognition and behaviour
Verified email at donders.ru.nl
Title
Cited by
Cited by
Year
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
1062020
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
522019
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
382019
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
34*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
322020
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
202015
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
152021
Benchmarking graph neural networks for fMRI analysis
A ElGazzar, R Thomas, G Van Wingen
arXiv preprint arXiv:2211.08927, 2022
82022
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
62022
Medical imaging with deep learning
D Arya, R Olij, DK Gupta, A El Gazzar, G Wingen, M Worring, RM Thomas
PMLR,, 2020
52020
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
22023
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
22022
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
2024
Universal Differential Equations as a Common Modeling Language for Neuroscience
A ElGazzar, M van Gerven
arXiv preprint arXiv:2403.14510, 2024
2024
Phenotyping functional brain dynamics: A deep learning prespective on psychiatry
A Elgazzar
2024
A Dynamical Systems Approach to Optimal Foraging
S Chaturvedi, A ElGazzar, M Gerven
bioRxiv, 2024.01. 20.576399, 2024
2024
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