Ahmad Karfoul
Orcid: 0000-0002-3977-9141
According to our database1,
Ahmad Karfoul
authored at least 37 papers
between 2009 and 2024.
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Bibliography
2024
Electrophysiological brain imaging based on simulation-driven deep learning in the context of epilepsy.
NeuroImage, January, 2024
Multi-classification of high-frequency oscillations in intracranial EEG signals based on CNN and data augmentation.
Signal Image Video Process., 2024
2023
An Optimized Dictionary-Based Model Identification Method in the Scope of Brain Effective Connectivity.
IEEE Signal Process. Lett., 2023
A Unified Approach for Inverse Problem in EEG and Brain Connectivity with Application to Epilepsy. A Proof of Concept Study.
Proceedings of the 31st European Signal Processing Conference, 2023
Nonlinear Causality Inference Using a Robust ERR-Based Method in the Context of Epilepsy.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion.
Int. J. Neural Syst., 2022
Investigation of two neural mass models for DCM-based effective connectivity inference in temporal epilepsy.
Comput. Methods Programs Biomed., 2022
Classification of High Frequency Oscillations in intracranial EEG signals based on coupled time-frequency and image-related features.
Biomed. Signal Process. Control., 2022
Multi-Classification of epileptic High Frequency Oscillations using a Time-Frequency image-based CNN.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022
2021
Dynamic brain effective connectivity analysis based on low-rank canonical polyadic decomposition: application to epilepsy.
Medical Biol. Eng. Comput., 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021
2020
On the identification of the blood vessel confounding effect in intravoxel incoherent motion (IVIM) Diffusion-Weighted (DW)-MRI in liver: An efficient sparsity based algorithm.
Medical Image Anal., 2020
An exact line search scheme to accelerate the EM algorithm: Application to Gaussian mixture models identification.
J. Comput. Sci., 2020
A comparative study between three epileptic high frequency oscillations detection strategies.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
2019
Rank estimation and tensor decomposition using physics-driven constraints for brain source localization.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Investigating Transmembrane Current Source Formulation for Solving the ECG Inverse Problem.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018
Brain Source Localization using Constrained Low Rank Canonical Polyadic Decomposition.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
Independent Component Analysis Based on Non-polynomial Approximation of Negentropy: Application to MRS Source Separation.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
All-in-one approach for constrained all-voxel tri-exponential IVIM model identification: Application to Diffusion-Weighted MR Imaging in the Liver.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising.
IEEE Signal Process. Lett., 2017
A local adjustment strategy for the initialization of dynamic causal modelling to infer effective connectivity in brain epileptic structures.
Comput. Biol. Medicine, 2017
Reliable gradient search directions for kurtosis-based deflationary ICA: Application to physiological signal processing.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Efficient sparsity-based algorithm for parameter estimation of the tri-exponential intra voxel incoherent motion (IVIM) model: Application to diffusion-weighted MR imaging in the liver.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Quantifying connectivity in a physiology based model using adaptive dynamic causal modelling.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014
2012
Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches.
EURASIP J. Adv. Signal Process., 2012
2011
Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification.
Signal Process., 2011
2010
Blind underdetermined mixture identification by joint canonical decomposition of HO cumulants.
IEEE Trans. Signal Process., 2010
Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICA<sup>exp</sup> Method.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
2009
Proceedings of the 17th European Signal Processing Conference, 2009