Ahmad Karfoul

发表

Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising

Laurent Albera, Amar Kachenoura, Majd Saleh, 2017, IEEE Signal Processing Letters.

Independent Component Analysis Based on Non-polynomial Approximation of Negentropy: Application to MRS Source Separation

Lotfi Senhadji, Laurent Albera, Amar Kachenoura, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

ICA-based EEG denoising: a comparative analysis of fifteen methods

Lotfi Senhadji, Laurent Albera, Pierre Comon, 2012 .

Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches

Lotfi Senhadji, Laurent Albera, Fabrice Wendling, 2012, EURASIP J. Adv. Signal Process..

An efficient graph structure inference strategy based on random walk model on graph: Application to functional brain networks

Mahmoud Hassan, Ahmad Karfoul, Salman Al-Muhammad Al-Ali, 2019, 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME).

Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem

Lotfi Senhadji, Laurent Albera, Amar Kachenoura, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A fast model for solving the ECG forward problem based on an evolutionary algorithm

Laurent Albera, Amar Kachenoura, Michel Rochette, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

An exact line search scheme to accelerate the EM algorithm: Application to Gaussian mixture models identification

Régine Le Bouquin-Jeannès, Huazhong Shu, Chunfeng Yang, 2020, J. Comput. Sci..

Blind Underdetermined Mixture Identification by Joint Canonical Decomposition of HO Cumulants

Laurent Albera, Ahmad Karfoul, Gwénaël Birot, 2010, IEEE Transactions on Signal Processing.

Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data

Lotfi Senhadji, Rémi Gribonval, Laurent Albera, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

One Decade of Biomedical Problems Using ICA: A Full Comparative Study

Lotfi Senhadji, Laurent Albera, Pierre Comon, 2009 .

Investigating Transmembrane Current Source Formulation for Solving the ECG Inverse Problem

Laurent Albera, Amar Kachenoura, Michel Rochette, 2018, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Canonical decomposition of even order hermitian positive semi-definite arrays

Laurent Albera, Pierre Comon, Ahmad Karfoul, 2009, 2009 17th European Signal Processing Conference.

ICA and biomedical applications

Lotfi Senhadji, Laurent Albera, Pierre Comon, 2010 .

Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICAexp Method

Lotfi Senhadji, Laurent Albera, Pierre Comon, 2010, LVA/ICA.

Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification

Laurent Albera, Lieven De Lathauwer, Ahmad Karfoul, 2011, Signal Process..

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

Longyu Jiang, Huazhong Shu, Ahmad Karfoul, 2020, Medical Image Anal..

Quantifying connectivity in a physiology based model using adaptive dynamic causal modelling

Chunfeng Yang, Régine Le Bouquin-Jeannès, Ahmad Karfoul, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Reliable gradient search directions for kurtosis-based deflationary ICA: Application to physiological signal processing

Lotfi Senhadji, Laurent Albera, Amar Kachenoura, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Huazhong Shu, Longyu Jiang, Jie Liu, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Brain Source Localization using Constrained Low Rank Canonical Polyadic Decomposition

Xu Han, Lotfi Senhadji, Laurent Albera, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Tensor decomposition exploiting structural constraints for brain source imaging

Lotfi Senhadji, Rémi Gribonval, Laurent Albera, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Chapter 18 – Biomedical applications

Lotfi Senhadji, Pierre Comon, Amar Kachenoura, 2010 .

A local adjustment strategy for the initialization of dynamic causal modelling to infer effective connectivity in brain epileptic structures

Régine Le Bouquin-Jeannès, Huazhong Shu, Ahmad Karfoul, 2017, Comput. Biol. Medicine.

All-in-one approach for constrained all-voxel tri-exponential IVIM model identification: Application to Diffusion-Weighted MR Imaging in the Liver

Huazhong Shu, Longyu Jiang, Ahmad Karfoul, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Inferring effective connectivity using robust low-rank canonical polyadic decomposition: Application to epileptic intracerebral EEG signals

Ahmad Karfoul, Régine Le Bouquin Jeannès, Pierre-Antoine Chantal, 2019, 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME).

Feasibility of blind source separation methods for the denoising of dense-array EEG

Lotfi Senhadji, Laurent Albera, Karim Ansari-Asl, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Nonnegative compression for Semi-Nonnegative Independent Component Analysis

Lu Wang, Lotfi Senhadji, Huazhong Shu, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing

Laurent Albera, Amar Kachenoura, Majd Saleh, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Dynamic brain effective connectivity analysis based on low-rank canonical polyadic decomposition: application to epilepsy

Régine Le Bouquin-Jeannès, Ahmad Karfoul, Anca Nica, 2021, Medical & Biological Engineering & Computing.

Pitfalls of spikes filtering for detecting High Frequency Oscillations (HFOs)

Abdennaceur Kachouri, Régine Le Bouquin-Jeannès, Ahmad Karfoul, 2021, 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD).

Line search and trust region strategies for canonical decomposition of semi-nonnegative semi-symmetric 3rd order tensors

Laurent Albera, Pierre Comon, Julie Coloigner, 2014 .