publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. A Dynamical Systems Approach to Optimal Foraging
    Siddharth Chaturvedi , Ahmed ElGazzar, and Marcel van Gerven
    bioRxiv, 2024
  2. Universal Differential Equations as a Common Modeling Language for Neuroscience
    Ahmed ElGazzar, and Marcel Gerven
    arXiv preprint arXiv:2403.14510, 2024
  3. Analytical Characterization of Epileptic Dynamics in a Bistable System
    Yuzhen Qin , Ahmed El-Gazzar , Danielle S Bassett , and 2 more authors
    arXiv preprint arXiv:2404.03409, 2024
  4. Phenotyping functional brain dynamics: A deep learning prespective on psychiatry
    AGMA Elgazzar
    2024

2023

  1. Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
    Selene Gallo , Ahmed El-Gazzar , Paul Zhutovsky , and 8 more authors
    Molecular Psychiatry, 2023
  2. Harmonization techniques for machine learning studies using multi-site functional MRI data
    Ahmed El-Gazzar , Rajat Mani Thomas , and Guido Wingen
    bioRxiv, 2023

2022

  1. Improving the diagnosis of psychiatric disorders with self-supervised graph state space models
    Ahmed El Gazzar , Rajat Mani Thomas , and Guido Van Wingen
    arXiv preprint arXiv:2206.03331, 2022
  2. fMRI-S4: learning short-and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models
    Ahmed El-Gazzar , Rajat Mani Thomas , and Guido Van Wingen
    In International Workshop on Machine Learning in Clinical Neuroimaging , 2022
  3. Benchmarking graph neural networks for fMRI analysis
    Ahmed ElGazzar, Rajat Thomas , and Guido Van Wingen
    arXiv preprint arXiv:2211.08927, 2022

2021

  1. Dynamic adaptive spatio-temporal graph convolution for fMRI modelling
    Ahmed El-Gazzar , Rajat Mani Thomas , and Guido Wingen
    In Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 4 , 2021

2020

  1. Classifying autism spectrum disorder using the temporal statistics of resting-state functional MRI data with 3D convolutional neural networks
    Rajat Mani Thomas , Selene Gallo , Leonardo Cerliani , and 3 more authors
    Frontiers in psychiatry, 2020
  2. Fusing structural and functional MRIs using graph convolutional networks for autism classification
    Devanshu Arya , Richard Olij , Deepak K Gupta , and 4 more authors
    In Medical imaging with deep learning , 2020
  3. Medical imaging with deep learning
    D Arya , R Olij , DK Gupta , and 4 more authors
    2020

2019

  1. Simple 1-D convolutional networks for resting-state fMRI based classification in autism
    Ahmed El Gazzar , Leonardo Cerliani , Guido Wingen , and 1 more author
    In 2019 International Joint Conference on Neural Networks (IJCNN) , 2019
  2. 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 , and 3 more authors
    In International Workshop on OR 2.0 Context-Aware Operating Theaters , 2019

2015

  1. Non-Contact manipulation of microbeads via pushing and pulling using magnetically controlled clusters of paramagnetic microparticles
    Ahmed G El-Gazzar , Louay E Al-Khouly , Anke Klingner , and 2 more authors
    In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2015