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C. Millan, L. Chaari, A.
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T. B. A Erep, L. Chaari, P. Ele, E. Sobngwi. ESENET-D:
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M. Fakhfakh, L. Chaari.
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W. Labriji, S. Ken, G.
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Chaari. Bayesian Sparse model for complex-valued
magnetic resonance spectroscopy restoration. In International
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Greece, May 27-30, 2024. [ bib | .pdf ]
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I. Traoré, I. Megdiche,
J. Marquet-Doleac, L. Chaari. A machine learning technique
for device non-wear detection in children with ADHD. In International Workshop
on Health Informatics: IT Innovations and Disruptive
Approaches in the Digital Health Era (HOPE), Giza, Egypt, December 4-7,
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I. Traoré, I. Megdiche,
J. Marquet-Doleac, L. Chaari. A cross-validation approach
for classifying physical activity intensity: a case
study in children with attention
deficit/hyperactivity disorder. In
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Systems and Applications (AICCSA), Giza, Egypt,
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M. Fakhfakh, L. Chaari. A
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S. Chaabene, B. Bouaiz,
A. Boudaya, L. Chaari, A. Hokelmann. Early mild
cognitive impairment detection using cognitive-motor
tasks and machine learning. In International
Conference on Innovations in Intelligent Systems and
Applications (INISTA), Hammamet, Tunisia, September
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S. Chaabene, B. Haroun
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W. Nicolas, M.
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during cognitive test. In IEEE
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for Healthcare (ICTIH), Magdeburg, Germany,
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A. Quintero-Rincón, L. Chaari, H. Batatia. Robust analysis and
spectral-based deep learning to detect driving
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M. Fakhfakh, B.
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M. Fakhfakh, B.
Bouaziz, F. Gargouri, L. Chaari. Bayesian optimization
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M. Ouederni, L.
Chaari, Q. Fan and Q. Mu. Applying MDE for Healthcare
systems. In International Conference on Digital
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A. Boudaya, S.
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Chaari. Physiological/Non-physiological
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M. Fakhfakh, B.
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on Digital Health Technologies (ICDHT),
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M. Fakhfakh, B.
Bouaziz, H. Batatia, L. Chaari. Bayesian optimization
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change detection in remote sensing. International
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A. Boudaya, S.
Chaabene, B. Bouaziz, H. Batatia, H. Zouari, S. Ben
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Conference on Information Technology and Applications
(ICITA), Dubai, UAE, November 13-4, 2021. [ bib | .pdf ] |
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G. Geoffroy, L.
Chaari, J.-Y. Tourneret, H. Wendt. Drowsiness
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Dublin, Ireland, August 23-27, 2021. [ bib | .pdf ]
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S. Zorgui, S.
Chaabene, B. Bouaziz, H. Batatia and L. Chaari. A
convolutional neural network for Lentigo diagnosis. In
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A. Boudaya, S.
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Conference On Smart Living and Public Health (ICOST),
Hammamet, Tunisia, June 24-26, 2020. [ bib |
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Y. Abichou, S.
Chaabene and L. Chaari. A sleep monitoring method with
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W. Gharbi, L.
Chaari and A. Benazza-Benyahia. Joint Bayesian
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B. Bouaziz, L.
Chaari, H. Batatia and A. Quintero-Rincon. Epileptic
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I. Ghorbel, W.
Gharbi, A. Benazza and L. Chaari. Bayesian compressed
sensing for IoT : application to EEG recording. In International
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L. Chaari, J.-Y.
Tourneret and H. Batatia. A Plug and Play Bayesian
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M. Fakhfakh, N.
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S. Chaabene, L.
Chaari and A. Kallel. Sparse Bayesian pMRI
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M. Albughdadi, L.
Chaari and J.-Y. Tourneret. A hybrid inter and intra
subject model for fMRI analysis. In IEEE Middle
East Conference on Biomedical Engineering (MECBME),
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L. Chaari, J.-Y.
Tourneret and H. Batatia. A general non-smooth
Hamiltonian Monte Carlo scheme using Bayesian
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M. Makki, I.
Ghorbel, N. Gharbi and L. Chaari. A decision support
system for high computing architectures for complex
medical imaging algorithms. In Engineering
Sciences for Biology and Medicine (ESBM), Sfax,
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S. Chaabene and L.
Chaari. A Bayesian myopic parallel MRI reconstruction.
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M. Albughdadi, L.
Chaari and J.-Y. Tourneret. Adaptive Mean Shift Based
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S. Fuertes, G.
Picart, J.-Y. Tourneret, L. Chaari, A. Ferrari and C.
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A. Laruelo, L.
Chaari, S. Ken, J.-Y. Tourneret, H. Batatia and A.
Laprie. MRSI data unmixing using spatial and spectral
priors in transformed domains. In IEEE
International Sympsium on Biomedical Imaging (ISBI),
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M. Albughdadi, L.
Chaari, F. Forbes, J.Y. Tourneret and P. Ciuciu.
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in functional MRI. In IEEE International Sympsium
on Biomedical Imaging (ISBI), Prague, Czech
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L. Chaari, J.-Y.
Tourneret and C. Chaux. Sparse signal recovery using a
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Signal Processing Conference (EUSIPCO), Nice,
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M. Albughdadi, L.
Chaari, F. Forbes, J.-Y. Tourneret and P. Ciuciu.
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(EUSIPCO), Lisbon, Portugal, September 1-5,
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L. Chaari,
Hadj Batatia, Nicolas Dobigeon and J.-Y. Tourneret. A
hierarchical sparsity-smoothness Bayesian model for l0
+ l1 + l2 regularization In IEEE International
Conference Acoustics, Speech, and Signal (ICASSP),
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L. Chaari, H.
Batatia and J.-Y. Tourneret. Sparse Bayesian Image
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East Conference on Biomedical Engineering (MECBME) ,
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L. Chaari, J.-Y.
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A. Laruelo, L.
Chaari, H. Batatia, S. Ken, B. Rowland, J.-Y.
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for Magnetic Resonance Spectroscopy. In IEEE
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and Biology Society (EMBC), Osaka, Japan, July
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L. Chaari,
F. Forbes, T. Vincent, and P. Ciuciu.
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variational joint detection estimation framework. In 15th
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L. Chaari,
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Robust voxel-wise Joint Detection Estimation of brain
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C. Bakhous,
F. Forbes, T. Vincent, L. Chaari,
M. Dojat, and P. Ciuciu. Adaptive
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L. Chaari,
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C. Bakhous,
F. Forbes, T. Vincent, L. Chaari,
M. Dojat, and P. Ciuciu. Sélection de
variable dans un cadre bayésien de traitement de
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L. Chaari,
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P. Ciuciu. Variational solution to the joint
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L. Chaari,
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M. Dojat. Bayesian variational approximation for
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L. Chaari,
J.-C. Pesquet, J.-Y. Tourneret, and P. Ciuciu.
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L. Chaari,
F. Forbes, P. Ciuciu, T. Vincent, and
M. Dojat. A variational Bayesian approach for the
joint detection estimation of brain activity in
functional MRI. In Journées de Statistique de la
Société Franaise de Statistique (SFdS), Tunis,
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L. Chaari,
S. Mériaux, S. Badillo, P. Ciuciu, and
J.-C. Pesquet. 3D wavelet-based regularization for
parallel MRI reconstruction: impact on subject and
group-level statistical sensitivity in fMRI. In IEEE
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pages 460-464, Chicago, USA, March 30-April 2 2011.
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L. Chaari,
S. Mériaux, J.-C. Pesquet, and P. Ciuciu.
Impact of the parallel imaging reconstruction
algorithm on brain activity detection in fMRI. In International
Symposium on Applied Sciences in Biomedical and
Communication Technologies, Roma, Italy,
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L. Chaari,
S. Mériaux, J.-C. Pesquet, and P. Ciuciu.
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algorithm on the statistical sensitivity in fMRI. In 16th
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L. Chaari,
J.-C. Pesquet, J.-Y. Tourneret, P. Ciuciu, and
A. Benazza-Benyahia. A hierarchical Bayesian
model for frame representation. In IEEE
International Conference Acoustics, Speech, and
Signal (ICASSP), pages 4086-4089, Dallas, USA,
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L. Chaari,
A. Benazza-Benyahia, J.-C. Pesquet, and
P. Ciuciu. Wavelet based parallel MRI
regularization using bivariate sparsity promoting
priors. In IEEE International Conference on Image
Processing (ICIP), pages 460-464, Cairo, Egypt,
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L. Chaari,
N. Pustelnik, C. Chaux, and J.-C. Pesquet.
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and convex optimization techniques. In Society of
Photo-optical Instrumentation Engineers (SPIE)
Conference, San Diego, USA, August 2-6 2009.
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L. Chaari,
P. Ciuciu, A. Benazza-Benyahia, and J.-C.
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reconstruction mthods in the presence of coil
sensitivity map errors. In International Society
for Magnetic Resonance in Medicine (ISMRM) Meeting,
Honolulu, USA, April 18-24 2009. [ bib |
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L. Chaari,
J.-C. Pesquet, A. Benazza-Benyahia, and
P. Ciuciu. Minimization of a sparsity promoting
criterion for the recovery of complex-valued signals.
In Signal Processing with Adaptive Sparse
Structured Representations Workshop (SPARS),
Saint-Malo, France, April 6-9 2009. [ bib |
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L. Chaari,
J.-C. Pesquet, A. Benazza-Benyahia, and
P. Ciuciu. Autocalibrated parallel MRI
reconstruction in the wavelet domain. In IEEE
International Sympsium on Biomedical Imaging (ISBI),
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