Ahmed El-Gazzar
Ahmed El-Gazzar
PhD Candidate at AMC, Department of Psychaitry
Verified email at amc.uva.nl
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, 440, 2020
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
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
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, RM Thomas
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019
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
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, RM Thomas
arXiv preprint arXiv:2002.05981, 2020
Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling
A El-Gazzar, RM Thomas, G Wingen
International Workshop on Machine Learning in Clinical Neuroimaging, 125-134, 2021
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