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Lotfi Chaâri
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Books and Theses
- 2010
- [b1]Lotfi Chaâri:
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). University of Paris-Est, France, 2010
Journal Articles
- 2024
- [j16]Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Anita Hökelmann, Lotfi Chaâri:
Mild Cognitive Impairment detection based on EEG and HRV data. Digit. Signal Process. 147: 104399 (2024) - [j15]Mohamed Fakhfakh, Lotfi Chaâri:
Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6699-6712 (2024) - [j14]Thierry Roland Baban A Erep, Lotfi Chaâri:
mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments. Sensors 24(1): 209 (2024) - 2023
- [j13]Mohamed Fakhfakh, Lotfi Chaâri, Bassem Bouaziz, Faïez Gargouri:
Non-smooth Bayesian learning for artificial neural networks. J. Ambient Intell. Humaniz. Comput. 14(10): 13813-13831 (2023) - 2021
- [j12]Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, Lotfi Chaâri:
Convolutional Neural Network for Drowsiness Detection Using EEG Signals. Sensors 21(5): 1734 (2021) - [j11]Walma Gharbi, Lotfi Chaâri, Amel Benazza-Benyahia:
Unsupervised Bayesian change detection for remotely sensed images. Signal Image Video Process. 15(1): 205-213 (2021) - 2020
- [j10]Mohamed Fakhfakh, Lotfi Chaâri, Nizar Fakhfakh:
Bayesian curved lane estimation for autonomous driving. J. Ambient Intell. Humaniz. Comput. 11(10): 4133-4143 (2020) - [j9]Siwar Chaabene, Lotfi Chaâri, Abdelaziz Kallel:
Bayesian sparse regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors. Signal Image Video Process. 14(3): 445-453 (2020) - 2019
- [j8]Lotfi Chaâri:
A Bayesian grouplet transform. Signal Image Video Process. 13(5): 871-878 (2019) - 2017
- [j7]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu:
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. 135: 132-146 (2017) - 2016
- [j6]Lotfi Chaâri, Jean-Yves Tourneret, Caroline Chaux, Hadj Batatia:
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling. IEEE Trans. Signal Process. 64(21): 5585-5594 (2016) - 2015
- [j5]Facundo Costa, Hadj Batatia, Lotfi Chaâri, Jean-Yves Tourneret:
Sparse EEG Source Localization Using Bernoulli Laplacian Priors. IEEE Trans. Biomed. Eng. 62(12): 2888-2898 (2015) - 2013
- [j4]Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu:
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging 32(5): 821-837 (2013) - 2011
- [j3]Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu:
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. Medical Image Anal. 15(2): 185-201 (2011) - [j2]Lotfi Chaâri, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Saïd Moussaoui:
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal 28(3-4): 329-374 (2011) - 2010
- [j1]Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia:
A hierarchical Bayesian model for frame representation. IEEE Trans. Signal Process. 58(11): 5560-5571 (2010)
Conference and Workshop Papers
- 2024
- [c33]Wafae Labriji, Soléakhéna Ken, Gaelle Dormio, Jean-Yves Tourneret, Elizabeth Moyal Cohen-Jonathan, Lotfi Chaâri:
Bayesian Sparse Model for Complex-Valued Magnetic Resonance Spectroscopy Restoration. ISBI 2024: 1-5 - 2023
- [c32]Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri:
A machine learning technique for device non-wear detection in children with ADHD. AICCSA 2023: 1-6 - [c31]Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doléac, Lotfi Chaâri:
A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder. AICCSA 2023: 1-8 - [c30]Siwar Chaabene, Brahim Haroun Hassan, Amal Boudaya, Lotfi Chaâri, Bassem Bouaziz:
New MCI Detection Method Based on Transformer and EEG Data. EUSIPCO 2023: 1200-1204 - [c29]Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Lotfi Chaâri, Anita Hökelmann:
Early mild cognitive impairment detection using cognitive-motor tasks and machine learning. INISTA 2023: 1-6 - [c28]Mohamed Fakhfakh, Lotfi Chaâri:
A fully automatic Bayesian model for adaptive activation functions in artificial neural networks. INISTA 2023: 1-6 - [c27]Mohamad Suhairi Md Subhi, Willem Nicolas, Akina Renard, Gabriela Maria Garcia Romero, Meriem Ouederni, Lotfi Chaâri:
How AI can Advance Model Driven Engineering Method ? ISPR (2) 2023: 113-125 - 2022
- [c26]Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chaâri, Faïez Gargouri:
Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks. IDA 2022: 78-88 - [c25]Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri:
Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks. ISBI 2022: 1-4 - 2021
- [c24]Guillaume Geoffroy, Lotfi Chaâri, Jean-Yves Tourneret, Herwig Wendt:
Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning. EUSIPCO 2021: 955-959 - 2020
- [c23]Amal Boudaya, Bassem Bouaziz, Siwar Chaabene, Lotfi Chaâri, Achraf Ammar, Anita Hökelmann:
EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network. ICOST 2020: 69-78 - [c22]Sana Zorgui, Siwar Chaabene, Bassem Bouaziz, Hadj Batatia, Lotfi Chaâri:
A Convolutional Neural Network for Lentigo Diagnosis. ICOST 2020: 89-99 - 2018
- [c21]Walma Gharbi, Lotfi Chaâri, Amel Benazza-Benyahia:
Bayesian Vehicle Detection Using Optical Remote Sensing Images. ACIVS 2018: 258-269 - [c20]Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia:
A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems. EUSIPCO 2018: 737-741 - [c19]Mohamed Fakhfakh, Nizar Fakhfakh, Lotfi Chaâri:
Robust Lane Extraction Using Two-Dimension Declivity. ICAISC (2) 2018: 14-24 - 2017
- [c18]Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia:
A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation. EUSIPCO 2017: 1220-1224 - 2016
- [c17]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Multi-subject joint parcellation detection estimation in functional MRI. ISBI 2016: 74-77 - [c16]Andrea Laruelo, Lotfi Chaâri, Soléakhéna Ken, Jean-Yves Tourneret, Hadj Batatia, Anne Laprie:
MRSI data unmixing using spatial and spectral priors in transformed domains. ISBI 2016: 952-955 - [c15]Siwar Chaabene, Lotfi Chaâri:
Bayesian myopic parallel MRI reconstruction. ISIVC 2016: 103-108 - [c14]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret:
Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI. MIAR 2016: 247-258 - 2015
- [c13]Lotfi Chaâri, Jean-Yves Tourneret, Caroline Chaux:
Sparse signal recovery using a Bernoulli generalized Gaussian prior. EUSIPCO 2015: 1711-1715 - 2014
- [c12]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO 2014: 31-35 - [c11]Lotfi Chaâri, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret:
A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization. ICASSP 2014: 1901-1905 - 2013
- [c10]Andrea Laruelo, Lotfi Chaâri, Hadj Batatia, Soléakhéna Ken, Benjamin Rowland, Anne Laprie, Jean-Yves Tourneret:
Hybrid sparse regularization for magnetic resonance spectroscopy. EMBC 2013: 6768-6771 - [c9]Lotfi Chaâri, Jean-Yves Tourneret, Hadj Batatia:
Sparse Bayesian regularization using Bernoulli-Laplacian priors. EUSIPCO 2013: 1-5 - 2012
- [c8]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP 2012: 1273-1276 - [c7]Christine Bakhous, Thomas Forbes, Thomas Vincent, Lotfi Chaâri, Michel Dojat, Philippe Ciuciu:
Adaptive experimental condition selection in event-related fMRI. ISBI 2012: 1755-1758 - [c6]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) 2012: 180-188 - 2011
- [c5]Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Philippe Ciuciu, Jean-Christophe Pesquet:
3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. ISBI 2011: 460-464 - [c4]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu:
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) 2011: 260-268 - 2010
- [c3]Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia:
A hierarchical Bayesian model for frame representation. ICASSP 2010: 4086-4089 - 2009
- [c2]Lotfi Chaâri, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu:
Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. ICIP 2009: 1725-1728 - 2008
- [c1]Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu:
Autocalibrated regularized parallel mri reconstruction in the wavelet domain. ISBI 2008: 756-759
Editorship
- 2024
- [e2]Akram Bennour, Ahmed Bouridane, Lotfi Chaâri:
Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 1940, Springer 2024, ISBN 978-3-031-46334-1 [contents] - [e1]Akram Bennour, Ahmed Bouridane, Lotfi Chaâri:
Intelligent Systems and Pattern Recognition - Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 1941, Springer 2024, ISBN 978-3-031-46337-2 [contents]
Informal and Other Publications
- 2023
- [i3]Mohamed Fakhfakh, Lotfi Chaâri:
Bayesian optimization for sparse neural networks with trainable activation functions. CoRR abs/2304.04455 (2023) - 2012
- [i2]Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu:
Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging. CoRR abs/1201.0022 (2012) - 2011
- [i1]Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu:
4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI. CoRR abs/1103.3532 (2011)
Coauthor Index
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last updated on 2024-10-04 21:02 CEST by the dblp team
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