Autocalibrated regularized parallel mri reconstruction in the wavelet domain. - Lotfi Chaâri; Jean-Christophe Pesquet; Amel Benazza-Benyahia; Philippe Ciuciu (ISBI, 2008)

Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. - Lotfi Chaâri; Amel Benazza-Benyahia; Jean-Christophe Pesquet; Philippe Ciuciu (ICIP, 2009)

A hierarchical Bayesian model for frame representation. - Lotfi Chaâri; Jean-Christophe Pesquet; Jean-Yves Tourneret; Philippe Ciuciu; Amel Benazza-Benyahia (IEEE Trans. Signal Process., 2010)

Parallel magnetic resonance imaging reconstruction problems using wavelet representations. (Problèmes de reconstruction en imagerie par résonance magnétique parallèle à l'aide de représentations en ondelettes). - Lotfi Chaâri (2010)

3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. - Lotfi Chaâri; Sébastien Mériaux; Solveig Badillo; Philippe Ciuciu; Jean-Christophe Pesquet (ISBI, 2011)

Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. - Lotfi Chaâri; Florence Forbes; Thomas Vincent; Michel Dojat; Philippe Ciuciu (MICCAI (2), 2011)

4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI - Lotfi Chaâri; Sébastien Mériaux; Solveig Badillo; Jean-Christophe Pesquet; Philippe Ciuciu (CoRR, 2011)

A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. - Lotfi Chaâri; Jean-Christophe Pesquet; Amel Benazza-Benyahia; Philippe Ciuciu (Medical Image Anal., 2011)

OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. - Lotfi Chaâri; Emilie Chouzenoux; Nelly Pustelnik; Caroline Chaux; Saïd Moussaoui (Traitement du Signal, 2011)

Robust voxel-wise joint detection estimation of brain activity in fMRI. - Lotfi Chaâri; Florence Forbes; Thomas Vincent; Philippe Ciuciu (ICIP, 2012)

Adaptive experimental condition selection in event-related fMRI. - Christine Bakhous; Thomas Forbes; Thomas Vincent; Lotfi Chaâri; Michel Dojat; Philippe Ciuciu (ISBI, 2012)

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. - Lotfi Chaâri; Florence Forbes; Thomas Vincent; Philippe Ciuciu (MICCAI (3), 2012)

Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging - Lotfi Chaâri; Sébastien Mériaux; Solveig Badillo; Jean-Christophe Pesquet; Philippe Ciuciu (CoRR, 2012)

Hybrid sparse regularization for magnetic resonance spectroscopy. - Andrea Laruelo; Lotfi Chaâri; Hadj Batatia; Soléakhéna Ken; Benjamin Rowland; Anne Laprie; Jean-Yves Tourneret (EMBC, 2013)

Sparse Bayesian regularization using Bernoulli-Laplacian priors. - Lotfi Chaâri; Jean-Yves Tourneret; Hadj Batatia (EUSIPCO, 2013)

Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. - Lotfi Chaâri; Thomas Vincent; Florence Forbes; Michel Dojat; Philippe Ciuciu (IEEE Trans. Medical Imaging, 2013)

Model selection for hemodynamic brain parcellation in FMRI. - Mohanad Albughdadi; Lotfi Chaâri; Florence Forbes; Jean-Yves Tourneret; Philippe Ciuciu (EUSIPCO, 2014)

A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. - Lotfi Chaâri; Hadj Batatia; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2014)

Sparse signal recovery using a Bernoulli generalized Gaussian prior. - Lotfi Chaâri; Jean-Yves Tourneret; Caroline Chaux (EUSIPCO, 2015)

Sparse EEG Source Localization Using Bernoulli Laplacian Priors. - Facundo Costa; Hadj Batatia; Lotfi Chaâri; Jean-Yves Tourneret (IEEE Trans. Biomed. Eng., 2015)

Multi-subject joint parcellation detection estimation in functional MRI. - Mohanad Albughdadi; Lotfi Chaâri; Florence Forbes; Jean-Yves Tourneret; Philippe Ciuciu (ISBI, 2016)

MRSI data unmixing using spatial and spectral priors in transformed domains. - Andrea Laruelo; Lotfi Chaâri; Soléakhéna Ken; Jean-Yves Tourneret; Hadj Batatia; Anne Laprie (ISBI, 2016)

Bayesian myopic parallel MRI reconstruction. - Siwar Chaabene; Lotfi Chaâri (ISIVC, 2016)

Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI. - Mohanad Albughdadi; Lotfi Chaâri; Jean-Yves Tourneret (MIAR, 2016)

A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling. - Lotfi Chaâri; Jean-Yves Tourneret; Caroline Chaux; Hadj Batatia (IEEE Trans. Signal Process., 2016)

A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation. - Lotfi Chaâri; Jean-Yves Tourneret; Hadj Batatia (EUSIPCO, 2017)

A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. - Mohanad Albughdadi; Lotfi Chaâri; Jean-Yves Tourneret; Florence Forbes; Philippe Ciuciu (Signal Process., 2017)

Bayesian Vehicle Detection Using Optical Remote Sensing Images. - Walma Gharbi; Lotfi Chaâri; Amel Benazza-Benyahia (ACIVS, 2018)

A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems. - Lotfi Chaâri; Jean-Yves Tourneret; Hadj Batatia (EUSIPCO, 2018)

Robust Lane Extraction Using Two-Dimension Declivity. - Mohamed Fakhfakh; Nizar Fakhfakh; Lotfi Chaâri (ICAISC (2), 2018)

A Bayesian grouplet transform. - Lotfi Chaâri (Signal Image Video Process., 2019)

EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network. - Amal Boudaya; Bassem Bouaziz; Siwar Chaabene; Lotfi Chaâri; Achraf Ammar; Anita Hökelmann (ICOST, 2020)

A Convolutional Neural Network for Lentigo Diagnosis. - Sana Zorgui; Siwar Chaabene; Bassem Bouaziz; Hadj Batatia; Lotfi Chaâri (ICOST, 2020)

Bayesian curved lane estimation for autonomous driving. - Mohamed Fakhfakh; Lotfi Chaâri; Nizar Fakhfakh (J. Ambient Intell. Humaniz. Comput., 2020)

Bayesian sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors. - Siwar Chaabene; Lotfi Chaâri; Abdelaziz Kallel (Signal Image Video Process., 2020)

Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning. - Guillaume Geoffroy; Lotfi Chaâri; Jean-Yves Tourneret; Herwig Wendt (EUSIPCO, 2021)

Convolutional Neural Network for Drowsiness Detection Using EEG Signals. - Siwar Chaabene; Bassem Bouaziz; Amal Boudaya; Anita Hökelmann; Achraf Ammar; Lotfi Chaâri (Sensors, 2021)

Unsupervised Bayesian change detection for remotely sensed images. - Walma Gharbi; Lotfi Chaâri; Amel Benazza-Benyahia (Signal Image Video Process., 2021)

Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks. - Mohamed Fakhfakh; Bassem Bouaziz; Lotfi Chaâri; Faïez Gargouri (IDA, 2022)

Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks. - Mohamed Fakhfakh; Bassem Bouaziz; Faïez Gargouri; Lotfi Chaâri (ISBI, 2022)

A machine learning technique for device non-wear detection in children with ADHD. - Ibrahim Traoré; Imen Megdiche; Jérôme Marquet-Doléac; Lotfi Chaâri (AICCSA, 2023)

A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder. - Ibrahim Traoré; Imen Megdiche; Jérôme Marquet-Doléac; Lotfi Chaâri (AICCSA, 2023)

New MCI Detection Method Based on Transformer and EEG Data. - Siwar Chaabene; Brahim Haroun Hassan; Amal Boudaya; Lotfi Chaâri; Bassem Bouaziz (EUSIPCO, 2023)

Early mild cognitive impairment detection using cognitive-motor tasks and machine learning. - Siwar Chaabene; Bassem Bouaziz; Amal Boudaya; Lotfi Chaâri; Anita Hökelmann (INISTA, 2023)

A fully automatic Bayesian model for adaptive activation functions in artificial neural networks. - Mohamed Fakhfakh; Lotfi Chaâri (INISTA, 2023)

How AI can Advance Model Driven Engineering Method ? - Mohamad Suhairi Md Subhi; Willem Nicolas; Akina Renard; Gabriela Maria Garcia Romero; Meriem Ouederni; Lotfi Chaâri (ISPR (2), 2023)

Non-smooth Bayesian learning for artificial neural networks. - Mohamed Fakhfakh; Lotfi Chaâri; Bassem Bouaziz; Faïez Gargouri (J. Ambient Intell. Humaniz. Comput., 2023)

Fully Automatic Bayesian Method for Trainable Activation Function and Deep Neural Networks. - Mohamed Fakhfakh; Lotfi Chaâri (EUSIPCO, 2024)

Bayesian Sparse Model for Complex-Valued Magnetic Resonance Spectroscopy Restoration. - Wafae Labriji; Soléakhéna Ken; Gaelle Dormio; Jean-Yves Tourneret; Elizabeth Moyal Cohen-Jonathan; Lotfi Chaâri (ISBI, 2024)

ESeNet-D : Efficient Semantic Segmentation for RGB-Depth Food Images. - Thierry Roland Baban A Erep; Lotfi Chaâri; Pierre Ele; Eugene Sobngwi (MLSP, 2024)

MDE in the Era of Generative AI. - Ahmed Alaoui Mdaghri; Meriem Ouederni; Lotfi Chaâri (VECoS, 2024)

Mild Cognitive Impairment detection based on EEG and HRV data. - Amal Boudaya; Siwar Chaabene; Bassem Bouaziz; Anita Hökelmann; Lotfi Chaâri (Digit. Signal Process., 2024)

mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments. - Thierry Roland Baban A Erep; Lotfi Chaâri (Sensors, 2024)

Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions. - Mohamed Fakhfakh; Lotfi Chaâri (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Attack Originality Detector Using Machine Learning. - Charlotte Millan; Lotfi Chaâri; Amel Aissaoui; Eric Gilbert (ITASEC/SERICS, 2025)

AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials. - Mohammad El Sakka; Caroline De Pourtales; Lotfi Chaâri; Josiane Mothe (CoRR, 2025)