Publications de Lotfi CHAARI
Mohamed Fakhfakh, Lotfi Chaari
Bayesian optimization for sparse neural networks with trainable activation functions
IEEE Transactions on Pattern Analysis and Machine Intelligence, In press
Mohamed Fakhfakh, Lotfi Chaari
Bayesian optimization for sparse neural networks with trainable activation functions
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, pp.1–14. ⟨10.1109/TPAMI.2024.3387073⟩
Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Anita Hökelmann, Lotfi Chaâri
Mild Cognitive Impairment detection based on EEG and HRV data
Digital Signal Processing, In press, pp.104399. ⟨10.1016/j.dsp.2024.104399⟩
Thierry Roland Baban a Erep, Lotfi Chaâri
mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments
Sensors, 2023, 24 (1), pp.209. ⟨10.3390/s24010209⟩
Mohamed Fakhfakh, Lotfi Chaâri, Bassem Bouaziz, Faiez Gargouri
Non-smooth Bayesian learning for artificial neural networks
Journal of Ambient Intelligence and Humanized Computing, In press
Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, Lotfi Chaâri
Convolutional Neural Network for Drowsiness Detection Using EEG Signals
Sensors, 2021, 21 (5), pp.1734. ⟨10.3390/s21051734⟩
Mohamed Fakhfakh, Bassem Bouaziz, Faiez Gargouri, Lotfi Chaari
ProgNet: COVID-19 Prognosis Using Recurrent and Convolutional Neural Networks
The Open Medical Imaging Journal, 2020, 12 (1), pp.11-12. ⟨10.2174/1874347102012010011⟩
Walma Gharbi, Lotfi Chaari, Amel Benazza-Benyahia
Unsupervised Bayesian change detection for remotely sensed images
Signal, Image and Video Processing, 2020, 14, pp.1-8. ⟨10.1007/s11760-020-01738-9⟩
Lotfi Chaari, Olga Golubnitschaja
Covid-19 pandemic by the “real-time” monitoring: the Tunisian case and lessons for global epidemics in the context 3PM strategies
EPMA Journal, 2020, 11 (2), pp.133-138. ⟨10.1007/s13167-020-00207-0⟩
Mohamed Fakhfakh, Lotfi Chaari, Nizar Fakhfakh
Bayesian curved lane estimation for autonomous driving
Journal of Ambient Intelligence and Humanized Computing, 2020, 11, pp.4133-4143. ⟨10.1007/s12652-020-01688-7⟩
Achraf Ammar, Michael Brach, Khaled Trabelsi, Hamdi Chtourou, Omar Boukhris, Liwa Masmoudi, Bassem Bouaziz, Ellen Bentlage, Daniella How, Mona Ahmed, Patrick Müller, Notger Müller, Asma Aloui, Omar Hammouda, Laisa Liane Paineiras-Domingos, Annemarie Braakman-Jansen, Christian Wrede, Sofia Bastoni, Carlos Soares Pernambuco, Leonardo Mataruna, Morteza Taheri, Khadijeh Irandoust, Aïmen Khacharem, Nicola Bragazzi, Karim Chamari, Jordan M Glenn, Nicholas T Bott, Faiez Gargouri, Lotfi Chaari, Hadj Batatia, Gamal Mohamed Ali, Osama Abdelkarim, Mohamed Jarraya, Kais El Abed, Nizar Souissi, Lisette van Gemert-Pijnen, Bryan L Riemann, Laurel Riemann, Wassim Moalla, Jonathan Gómez-Raja, Monique Epstein, Robbert Sanderman, Sebastian Schulz, Achim Jerg, Ramzi Al-Horani, Taiysir Mansi, Mohamed Jmail, Fernando Maciel Barbosa, Fernando Ferreira-Santos, Boštjan Šimunič, Rado Pišot, Andrea Gaggioli, Stephen J Bailey, Jürgen Steinacker, Tarak Driss, Anita Hoekelmann
Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey
Nutrients, 2020, 12 (6), pp.1583. ⟨10.3390/nu12061583⟩
Siwar Chaabene, Lotfi Chaari, Abdelaziz Kallel
Bayesian sparse regularization for parallel MRI reconstruction using Complex Bernoulli-Laplace mixture priors
Signal, Image and Video Processing, 2019, 14, pp.445-453. ⟨10.1007/s11760-019-01567-5⟩
A Bayesian grouplet transform
Signal, Image and Video Processing, 2019, 13 (5), pp.871-878. ⟨10.1007/s11760-019-01423-6⟩
Mohanad Albughdadi, Lotfi Chaari, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu
A Bayesian Non-Parametric Hidden Markov Random Model for Hemodynamic Brain Parcellation
Signal Processing, 2017, 135, pp.132-146. ⟨10.1016/j.sigpro.2017.01.005⟩
Lotfi Chaari, Jean-Yves Tourneret, Caroline Chaux, Hadj Batatia
A hamiltonian Monte Carlo method for non-smooth energy sampling
IEEE Transactions on Signal Processing, 2016, vol. 64 (n° 21), pp. 5585-5594. ⟨10.1109/TSP.2016.2585120⟩
Andrea Laruelo, Lotfi Chaari, Jean-Yves Tourneret, Hadj Batatia, Soleakhena Ken, Ben Rowland, Régis Ferrand, Anne Laprie
Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification
NMR in Biomedicine, 2016, 129 (7), pp.918-931. ⟨10.1002/nbm.3532⟩
Facundo Hernan Costa, Hadj Batatia, Lotfi Chaari, Jean-Yves Tourneret
Sparse EEG Source Localization Using Bernoulli Laplacian Priors
IEEE Transactions on Biomedical Engineering, 2015, 62 (12), pp.2888-2898. ⟨10.1109/TBME.2015.2450015⟩
Andrea Laruelo, T. Fecher, Lotfi Chaari, Soleakhena Ken, Ben Rowland, Hadj Batatia, Régis Ferrand, L. Simon, Jean-Yves Tourneret, Anne Laprie
Towards Accurate and Robust MRSI Quantification to Improve the Radiation Therapy Treatment of GBM
International Journal of Radiation Oncology, Biology, Physics, 2014, vol. 90 (n° 1 suppl), pp. S793. ⟨10.1016/j.ijrobp.2014.05.2292⟩
Thomas Vincent, Solveig Badillo, Laurent Risser, Lotfi Chaari, Christine Bakhous, Florence Forbes, Philippe Ciuciu
Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF
Frontiers in Neuroscience, 2014, Brain Imaging methods (eCollection 2014), 8 (Article 67), pp.23. ⟨10.3389/fnins.2014.00067⟩
Lotfi Chaari, Philippe Ciuciu, Sébastien Mériaux, Jean-Christophe Pesquet
Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI
Magnetic Resonance Materials in Physics, Biology and Medicine, 2014, 27 (6), pp.41. ⟨10.1007/s10334-014-0436-5⟩
Lotfi Chaari, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu
Fast joint detection-estimation of evoked brain activity in event-related fmri using a variational approach
Dans : IEEE Transactions on Medical Imaging, IEEE : Institute of Electrical and Electronics Engineers, Vol. 32, p. 821-837, mai 2013.
Lotfi Chaari, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Moussaoui Said
Optimed : Optimisation itérative pour la résolution de problèmes inverses de grande taille
Dans : Traitement du Signal, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, Vol. 28, p. 329-374, 2011.
Lotfi Chaari, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging
Dans : Medical Image Analysis, Elsevier, Vol. 15, p. 185-201, novembre 2011.
Lotfi Chaari, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia
A hierarchical Bayesian model for frame representation
Dans : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 58 N. 11, p. 5560-5571, novembre 2010.
Thierry Roland Baban a Erep, Lotfi Chaari, Pierre Ele, Eugène Sobngwi
SENET-D: Efficient Semantic Segmentation for RGB-Depth food images
34th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), MLSP Technical Committee of the IEEE Signal Processing Society, Sep 2024, London, United Kingdom. à paraître
Mohamed Fakhfakh, Lotfi Chaari
Fully automatic Bayesian method for trainable activation function and deep neural networks
32nd European Signal Processing Conference (EUSIPCO 2024), EURASIP: European Association for Signal Processing, Aug 2024, Lyon, France. pp.1551–1555
Wafae Labriji, Soléakhéna Ken, Gaelle Dormio, Jean-Yves Tourneret, Elisabeth Cohen-Moyal, Lotfi Chaari
Bayesian Sparse model for complex-valued magnetic resonance spectroscopy restoration
International Symposium on Biomedical Imaging (ISBI 2024), May 2024, Athens, Greece. à paraître
Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doleac, Lotfi Chaâri
A machine learning technique for device non-wear detection in children with ADHD
International Workshop on Health Informatics @ AICCSA 2023: IT Innovations and Disruptive Approaches in the Digital Health Era (HOPE 2023), ACS/IEEE International Conference on Computer Systems and Applications, Dec 2023, Giza, Egypt
Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doleac, Lotfi Chaari
A cross-validation approach for classifying physical activity intensity: a case study in children with attention deficit/hyperactivity disorder
20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2023), IEEE, Dec 2023, Giza, Egypt. à paraître
Ibrahim Traoré, Imen Megdiche, Jérôme Marquet-Doleac, Lotfi Chaari
A cross-validation approach for classifying physical activity intensity: a case study in children with attention deficit/hyperactivity disorder
ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2023), Arab Computer Society (ACS); IEEE Computer Society, Dec 2023, Giza, Egypt
Siwar Chaabene, Bassem Bouaziz, Amal Boudaya, Lotfi Chaari, Anita Hökelmann
Early mild cognitive impairment detection using cognitive-motor tasks and machine learning
International Conference on Innovations in Intelligent Systems and Applications (INISTA 2023), Sep 2023, Hammamet, Tunisia. pp.1-6, ⟨10.1109/INISTA59065.2023.10310653⟩
Siwar Chaabene, Brahim Haroun Hassan, Amal Boudaya, Lotfi Chaâri, Bassem Bouaziz
New MCI Detection Method Based on Transformer and EEG Data
31st European Signal Processing Conference (EUSIPCO 2023), Sep 2023, Helsinki, Finland. pp.1200-1204, ⟨10.23919/EUSIPCO58844.2023.10290024⟩
Lotfi Chaâri, Willem Nicolas, Mohamad Suhairi Subhi, Akina Renard, Gabriela Maria Garcia-Romero, Meriem Ouederni
How AI can advance MDE ?
3rd International Conference on Intelligent Systems and Pattern Recognition (ISPR 2023), May 2023, Hammamet, Tunisia. à paraître
Antonio Quintero-Rincón, Lotfi Chaâri, Hadj Batatia
Robust analysis and spectral-based deep learning to detect driving fatigue from EEG signals
International Conference on Technology Innovations for Healthcare (ICTIH 2022), Sep 2022, Magdeburg, Germany. pp.1-6, ⟨10.1109/ICTIH57289.2022.10111943⟩
Amal Boudaya, Siwar Chaabene, Bassem Bouaziz, Anita Hökelmann, Lotfi Chaâri
MCI identification based on EEG signals during a cognitive test
International Conference on Technology Innovations for Healthcare (ICTIH 2022), Sep 2022, Magdeburg, Germany. pp.68-73, ⟨10.1109/ICTIH57289.2022.10112022⟩
Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chaâri, Faiez Gargouri
Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks
20th International Symposium on Symposium on Intelligent Data Analysis (IDA 2022), Apr 2022, Rennes, France. pp.78-88, ⟨10.1007/978-3-031-01333-1_7⟩
Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri
Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks
19th International Symposium on Biomedical Imaging (ISBI 2022), IEEE Signal Processing Society (SPS); IEEE Engineering in Medicine and Biology Society (EMBS), Mar 2022, Kolkata, India. pp.1-4, ⟨10.1109/ISBI52829.2022.9761469⟩
Guillaume Geoffroy, Lotfi Chaari, Jean-Yves Tourneret, Herwig Wendt
Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning
29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland
Amal Boudaya, Bassem Bouaziz, Siwar Chaabene, Lotfi Chaari, Achraf Ammar, Anita Hökelmann
EEG-based Hypo-vigilance detection using convolutional neural network
18th International Conference Smart Homes and Health Telematics (ICOST 2020), Jun 2020, Hammamet, Tunisia. pp.69-78
Sana Zorgui, Siwar Chaabene, Hadj Batatia, Lotfi Chaari
Lentigo detection using a deep learning approach
International Conference On Smart Living and Public Health (ICOST 2020), Jun 2020, Hammamet, Tunisia. pp.1-5, ⟨10.1007/978-3-030-51517-1_8⟩
Walma Gharbi, Lotfi Chaari, Amel Benazza-Benyahia
Joint Bayesian Hyperspectral Unmixing for change detection
Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS 2020), Mar 2020, Tunis, Tunisia. pp.37-40, ⟨10.1109/M2GARSS47143.2020.9105275⟩
Yessrine Abichou, Siwar Chaabene, Lotfi Chaari
A sleep monitoring method with EEG signals
International Conference on Digital Health Technologies (ICDHT), Dec 2019, Hammamet, Tunisia. pp.1-8
Itebeddine Ghorbel, Walma Gharbi, Lotfi Chaari, Amel Benazza-Benyahia
Bayesian compressed sensing for IoT : application to EEG recording
1st International Conference on Digital Health Technologies – ICDHT 2018, Oct 2018, Sfax, Tunisia. pp.53-60
Lotfi Chaari, Jean-Yves Tourneret, Hadj Batatia
A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems
26th European Signal and Image Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. pp.737-741
Mohamed Fakhfakh, Nizar Fakhfakh, Lotfi Chaari
Robust lane Extraction using Two-Dimension Declivity
17th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Jun 2018, Zakopane, Poland. pp.14-24, ⟨10.1007/978-3-319-91262-2_2⟩
Siwar Chaabene, Lotfi Chaari, Abdelaziz Kallel
Sparse Bayesian pMRI Reconstruction With Complex Bernoulli-Laplace Mixture Priors
4th IEEE Middle East Conference on Biomedical Engineering (MECBME 2018), Mar 2018, Tunis, Tunisia. pp.193-197
Lotfi Chaari, Jean-Yves Tourneret, Hadj Batatia
A general non-smooth Hamiltonian Monte Carlo scheme using Bayesian proximity operator calculation
25th European Signal and Image Processing Conference (EUSIPCO 2017), European Association for Signal Processing (EURASIP), Aug 2017, Kos Island, Greece. pp.1220-1224, ⟨10.23919/EUSIPCO.2017.8081402⟩
Mohanad Albughdadi, Lotfi Chaari, Jean-Yves Tourneret
Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI
7th International Conference on Medical Imaging and Augmented Reality (MIAR 2016), Aug 2016, Bern, Switzerland. pp. 247-258
Sylvain Fuertes, Gilles Picart, Jean-Yves Tourneret, Lotfi Chaari, André Ferrari, Cédric Richard
Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques
14th International Conference on Space Operations (SpaceOps 2016), May 2016, Daejeon, South Korea. pp. 1
Andrea Laruelo, Jose Dolz, Soleakhena Ken, Lotfi Chaari, Maximilien Vermandel, Laurent Massoptier, Anne Laprie
Probability map prediction of relapse areas in glioblastoma patients using multi-parametric MR
ESTRO 35 Radiotherapy and Oncology, Apr 2016, Turin, Italy. pp.S226-S227
Mohanad Albughdadi, Lotfi Chaari, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
Multi-subject joint parcellation detection estimation in functional MRI
13th IEEE International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic. pp.74-77, ⟨10.1109/ISBI.2016.7493214⟩
Andrea Laruelo, Lotfi Chaari, Soleakhena Ken, Jean-Yves Tourneret, Hadj Batatia, Anne Laprie
MRSI data unmixing using spatial and spectral priors in transformed domains
13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), Apr 2016, Prague, Czech Republic. pp. 952-955
Lotfi Chaari, Jean-Yves Tourneret, Caroline Chaux
Sparse signal recovery using a Bernoulli generalized Gaussian prior
EUSIPCO 2015 23rd European Signal Processing Conference, Aug 2015, Nice, France. ⟨10.1109/EUSIPCO.2015.7362676⟩
Mohanad Albughdadi, Lotfi Chaari, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
Model Selection for Hemodynamic Brain Parcellation in fMRI
EUSIPCO – 22nd European Signal Processing Conference, Sep 2014, Lisbon, Portugal. pp.31 – 35
Lotfi Chaari, Hadj Batatia, Nicolas Dobigeon, Jean-Yves Tourneret
A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization
IEEE International Conference on Acoustics, Speech, and Signal Processing – ICASSP 2014, May 2014, Florence, Italy. pp. 1901-1905
Lotfi Chaari, Hadj Batatia, Jean-Yves Tourneret
Sparse Bayesian Image Restoration with Linear Operator Uncertainties with Application to EEG Signal Recovery
2nd IEEE Middle East Conference on Biomedical Engineering (MECBME 2014), Feb 2014, Doha, Qatar. pp.139–142, ⟨10.1109/MECBME.2014.6783225⟩
Andréa Laruelo, Lotfi Chaari, Hadj Batatia, Soleakhena Ken, Ben Rowland, Jean-Yves Tourneret, Anne Laprie
Hybrid Sparse Regularization for Magnetic Resonance Spectroscopy (regular paper)
Dans : IEEE International Engineering in Medicine and Biology Conference (EMBC 2013), Osaka, Japan, 03/07/13-07/07/13, IEEE : Institute of Electrical and Electronics Engineers, p. 1-5, juillet 2013.
Lotfi Chaari, Jean-Yves Tourneret, Hadj Batatia
Sparse Bayesian Regularization Using Bernoulli-Laplacian Priors (regular paper)
Dans : European Signal and Image Processing Conference (EUSIPCO 2013), Marrakech, 09/09/13-13/09/13, EURASIP, p. 1-5, septembre 2013.
Lotfi Chaari, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu
Parameter Estimation for Hybrid Wavelet-Total Variation Regularization (regular paper)
Dans : IEEE Workshop on Statistical Signal Processing (SSP 2011), Nice, 28/06/11-30/06/11, IEEE : Institute of Electrical and Electronics Engineers, p. 461-464, juin 2011.
Lotfi Chaari, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia
A hierarchical Bayesian model for frame representation (regular paper)
Dans : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, Texas, 14/03/10-19/03/10, IEEE : Institute of Electrical and Electronics Engineers, p. 4086-4089, mars 2010.
Dhafer Ben Ali, Itebeddine Ghorbel, Nebras Gharbi, Kais Belhaj Hmida, Faiez Gargouri, Lotfi Chaari
Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health Systems
Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine, 10, Springer International Publishing, pp.43-52, 2019, Advances in Predictive, Preventive and Personalised Medicine (APPPM), 978-3-030-11799-3. ⟨10.1007/978-3-030-11800-6_5⟩
Andrea Laruelo, Lotfi Chaari, Hadj Batatia, Ben Rawland, Soleakhena Ken, Régis Ferrand, Jean-Yves Tourneret, Anne Laprie
Magnetic resonance spectroscopic data processing
Massoptier, Laurent; Viard, Romain. Innovative imaging to improve radiotherapy treatments, 15, Lulu Enterprises Inc, pp.91–96, 2014, 978-1291604177
Andrea Laruelo, Lotfi Chaari, Hadj Batatia, Ben Rowland, Soleakhena Ken, Régis Ferrand, Jean-Yves Tourneret, Anne Laprie
Exploiting MRSI data properties to improve quantication
Massoptier, Laurent; Song, Yu. Multimodal imaging towards individualized radiotherapy treatments, 9, AQUILAB Lille, pp.63–68, 2014
Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine
Springer, 10, pp.XVI, 88, 2019, Advances in Predictive, Preventive and Personalised Medicine, 978-3-030-11799-3. ⟨10.1007/978-3-030-11800-6⟩
Achraf Ammar, Michael Brach, Khaled Trabelsi, Hamdi Chtourou, Omar Boukhris, Liwa Masmoudi, Bassem Bouaziz, Ellen Bentlage, Daniella How, Mona Ahmed, Patrick Mueller, Notger Mueller, Asma Aloui, Omar Hammouda, Laisa Liane Paineiras-Domingos, Annemarie Braakman-Jansen, Christian Wrede, Sophia Bastoni, Carlos Soares Pernambuco, Leonardo Mataruna, Morteza Taheri, Khadijeh Irandoust, Aimen Khacharem, Nicola Bragazzi, Karim Chamari, Jordan Glenn, Nicholas Bott, Faiez Gargouri, Lotfi Chaari, Hadj Batatia, Gamal Mohamed Ali, Osama Abdelkarim, Mohamed Jarraya, Kais El Abed, Nizar Souissi, Lisette van Gemert-Pijnen, Bryan Riemann, Laurel Riemann, Wassim Moalla, Jonathan Gómez-Raja, Monique Epstein, Robbert Sanderman, Sebastian Schulz, Achim Jerg, Ramzi Al-Horani, Taysir Mansi, Mohamed Jmail, Fernando Maciel Barbosa, Fernando Santos, Bostjan Simunic, Rado Pišot, Donald Cowan, Andrea Gaggioli, Stephen Bailey, Jürgen Steinacker, Tarak Driss, Anita Hoekelmann
Effects of COVID-19 home confinement on physical activity and eating behaviour Preliminary results of the ECLB-COVID19 international online-survey
2020
Lotfi Chaari, Jean-Yves Tourneret, Caroline Chaux, Hadj Batatia
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling
2016
Mohanad Albughdadi, Lotfi Chaari, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu
Hemodynamic Brain Parcellation Using A Non-Parametric Bayesian Approach
2016