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SIEL

Analyse et fusion de donnéesIA et apprentissage statistiqueTraitement de signaux, d’images et du langage

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Approches de segmentationExtraire l’informationMéthodes d’amélioration d’imagesModéliser et optimiser l'informationOrienter le processus d’optimisation

Saïd Moussaoui

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Enseignant chercheur / Enseignante chercheuse – Professeur / professeure des universités

Equipe : SIMS

Employeur : Centrale Nantes

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Publications déposées sur HAL

Nombre de publications retournées : 196

Revues internationales avec comité de lecture

[1] S. Moussaoui, D. Brie, A. Richard. , in Automatica, vol. 41, no. 2, pp. 197-208, DOI

[2] S. Moussaoui, D. Brie, A. Mohammad-Djafari, C. Carteret. Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling, in IEEE Transactions on Signal Processing, vol. 54 (11), pp. 4133-4145, DOI

[3] L. Lilensten, T. Dudok de Wit, L. Kretzschmar, F. Amblard, S. Moussaoui, J. Aboudarham, F. Auchère. Review on the solar spectral variability in the EUV for space weather purposes, in Annales Geophysicae, vol. 26, no. 2, pp. 269-279, DOI

[4] P. Amblard, S. Moussaoui, T. Dudok de Wit, J. Aboudarham, M. Kretzschmar, J. Lilensten, F. Auchère. The EUV Sun as the superposition of elementary Suns, in Astronomy & Astrophysics – A&A, vol. 487, pp. L13-L16, DOI

[5] S. Moussaoui, H. Hauksdottir, F. Schmidt, C. Jutten, J. Chanussot, D. Brie, S. Douté, J. Benediktsson. On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation, in Neurocomputing, vol. 71, no. 10-12, pp. 2194-2208, DOI

[6] L. Guillemot, Y. Gaudeau, S. Moussaoui, J. Moureaux. Entropy-Coded Lattice Vector Quantization Dedicated to the Block Mixture Densities, in IEEE Transactions on Image Processing, vol. 17, no. 9, pp. 1574-1586, DOI

[7] C. Carteret, A. Dandeu, S. Moussaoui, H. Muhr, B. Humbert, E. Plasari. Polymorphism Studied by Lattice Phonon Raman Spectroscopy and Statistical Mixture Analysis Method. Application to Calcium Carbonate Polymorphs during Batch Crystallization, in Crystal Growth & Design, vol. 9, no. n°2, pp. 807-812, DOI

[8] M. Kretzschmar, T. Dudok de Wit, J. Lilensten, J. Hochedez, J. Aboudarham, P. Amblard, F. Auchère, S. Moussaoui. Solar EUV/FUV Irradiance Variations:Analysis and Observational Strategy, in Acta Geophysica, vol. 57, no. 1, pp. 42-51, DOI

[9] L. Duarte, C. Jutten, S. Moussaoui. A Bayesian Nonlinear Source Separation Method for Smart Ion-Selective Electrode Arrays, in IEEE Sensors Journal, vol. 9, no. 12, pp. 1763-1771, DOI

[10] N. Dobigeon, S. Moussaoui, M. Coulon, J. Tourneret, A. Hero. Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery, in IEEE Transactions on Signal Processing, vol. 57, no. 11, pp. 4355-4368, DOI

[11] N. Dobigeon, S. Moussaoui, J. Tourneret, C. Carteret. Bayesian separation of spectral sources under non-negativity and full additivity constraints, in Signal Processing, vol. 8, no. 12, pp. 2657-2669, DOI

[12] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra, in IEEE Transactions on Signal Processing, vol. 58, no. 12, pp. 6040-6051, DOI

[13] L. Duarte, C. Jutten, S. Moussaoui. Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors, in Journal of Signal Processing Systems, vol. 65, no. 3, pp. 311-323, DOI

[14] F. Schmidt, A. Schmidt, E. Tréguier, M. Guiheneuf, S. Moussaoui, N. Dobigeon. Implementation strategies for hyperspectral unmixing using Bayesian source separation., in IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4003-4013, DOI

[15] E. Chouzenoux, J. Idier, S. Moussaoui. A majorize-minimize strategy for subspace optimization applied to image restoration, in IEEE Transactions on Image Processing, vol. 20, no. 6, pp. 1517-1528, DOI

[16] E. Chouzenoux, S. Moussaoui, J. Idier. Majorize-minimize linesearch for inversion methods involving barrier function optimization, in Inverse Problems, vol. 28, no. 6, pp. 065011, DOI

[17] T. Dudok de Wit, S. Moussaoui, C. Guennou, F. Auchère, G. Cessateur, M. Kretzschmar, L. Vieira, F. Goryaev. Coronal Temperature Maps from Solar EUV Images: A Blind Source Separation Approach, in Solar Physics, vol. 283, no. 1, pp. 31-47, DOI

[18] C. El Tannoury, S. Moussaoui, F. Plestan, N. Romani, G. Pita Gil. Synthesis and Application of Nonlinear Observers for the Estimation of Tire Effective Radius and Rolling Resistance of an Automotive Vehicle, in IEEE Transactions on Control Systems Technology, vol. 21, no. 6, pp. 2408-2416, DOI

[19] M. Legendre, A. Schmidt, S. Moussaoui, U. Lammers. Solving Systems of Linear Equations by GPU-based Matrix Factorization in a Science Ground Segment, in Astronomy and Computing, vol. 3-4, pp. 58-64, DOI

[20] E. Chouzenoux, M. Legendre, S. Moussaoui, J. Idier. Fast constrained least squares spectral unmixing using primal-dual interior point optimization, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 1, pp. 59-69, DOI

[21] L. Duarte, S. Moussaoui, C. Jutten. Source Separation in Chemical Analysis : Recent Achievements and Perspectives, in IEEE Signal Processing Magazine, vol. 31, no. 3, pp. 135-146, DOI

[22] D. Brie, R. Klotz, S. Miron, S. Moussaoui, C. Mustin, P. Becuwe, S. Grandemange. Joint analysis of flow cytometry data and fluorescence spectra as a non-negative array factorization problem, in Chemometrics and Intelligent Laboratory Systems, vol. 137, pp. 21-32, DOI

[23] C. Gilavert, S. Moussaoui, J. Idier. Efficient Gaussian Sampling for Solving Large-Scale Inverse Problems using MCMC, in IEEE Transactions on Signal Processing, vol. 63, no. 01, pp. 70-80, DOI

[24] Y. Matriche, S. Moussaoui, M. Feliachi, A. Zaoui, M. Abdellah. SV-Training and Kernel Change Detection Algorithm for the Abrupt Modification in EMI Data for Buried Metallic Target Localization and Identification, in Applied Computational Electromagnetics Society Journal, vol. 30, no. 1, pp. 132-139,

[25] C. Rondeau-Mouro, R. Kovrlija, E. van Steenberge, S. Moussaoui. Two dimensional IR-FID-CPMG acquisition and adaptation of a maximum entropy reconstruction, in Journal of Magnetic Resonance, vol. 265, pp. 16-24, DOI

[26] J. Davins-Valldaura, S. Moussaoui, G. Pita Gil, F. Plestan. ParEGO extensions for multi-objective optimization of expensive evaluation functions, in Journal of Global Optimization, vol. 17, no. 1, pp. 79-96, DOI

[27] J. Davins-Valldaura, S. Moussaoui, G. Pita Gil, F. Plestan. Design and optimization of nonlinear observers for road curvature and state estimation in automated vehicles, in IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 12, pp. 3315-3327, DOI

[28] M. Kermadi, S. Moussaoui, A. Taieb Brahimi, M. Feliachi. Defect localization and characterization in Eddy current nondestructive testing by change detection and global optimization, in COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 37, no. 2, pp. 948-970, DOI

[29] P. Launeau, M. Giraud, A. Ba, S. Moussaoui, M. Robin, F. Debaine, D. Lague, E. Le Menn. Full-Waveform LiDAR Pixel Analysis for Low-Growing Vegetation Mapping of Coastal Foredunes in Western France, in Remote Sensing, vol. 10, no. 5, pp. 669, DOI

[30] G. Collewet, S. Moussaoui, C. Deligny, T. Lucas, J. Idier. Multi-tissue partial volume quantification in multi-contrast MRI using an optimised spectral unmixing approach, in Magnetic Resonance Imaging, vol. 49, pp. 39 – 46, DOI

[31] A. David, D. Le Touzé, T. Le Tourneau, P. Paul-Gilloteaux, F. Bonnefoy, J. Idier, S. Moussaoui, P. Guérin, J. Serfaty. In-vitro validation of 4D flow MRI measurements with an experimental pulsatile flow model, in Diagnostic and Interventional Imaging, vol. 100, no. 1, pp. 17-23, DOI

[32] D. Winterauer, D. Funes-Hernando, J. Duvail, S. Moussaoui, T. Batten, B. Humbert. Sub-Micron Spatial Resolution in Far-Field Raman Imaging Using Positivity-Constrained Super-Resolution, in Applied Spectroscopy, vol. 73, no. 8, pp. 902-909, DOI

[33] T. Ajamian, S. Moussaoui, A. Dupret. Breaking nyquist limitations in reflectometry-based wire diagnosis systems by compressive sampling, in IEEE Instrumentation and Measurement Magazine, vol. 22, no. 4, pp. 3-9, DOI

[34] D. Winterauer, D. Funes-Hernando, J. Duvail, S. Moussaoui, T. Batten, B. Humbert. Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution, in Applied Spectroscopy, DOI

[35] M. Millardet, S. Moussaoui, D. Mateus, J. Idier, T. Carlier. Local-mean preserving post-processing step for non-negativity enforcement in PET imaging: application to 90 Y-PET, in IEEE Transactions on Medical Imaging, vol. 39, pp. 3725 – 3736, DOI

[36] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Multi-exponential Transverse Relaxation Times Estimation from Magnetic Resonance Images under Rician Noise and Spatial Regularization, in IEEE Transactions on Image Processing, vol. 29, pp. 6721-6733, DOI

[37] S. Levilly, M. Castagna, J. Idier, F. Bonnefoy, D. Le Touzé, P. Paul-Gilloteaux, S. Moussaoui, J. Serfaty. Towards Quantitative Evaluation of Wall Shear Stress from 4D Flow Imaging, in Magnetic Resonance Imaging, vol. 74, pp. 232-243, DOI

[38] M. Castagna, S. Levilly, P. Paul-Gilloteaux, S. Moussaoui, J. Rousset, F. Bonnefoy, J. Idier, J. Serfaty, D. Le Touzé. An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement, in Scientific Reports, vol. 11, no. 1, pp. 4112, DOI

[39] G. Collewet, M. Musse, C. El Hajj, S. Moussaoui. Multi-exponential MRI T2 maps: A tool to classify and characterize fruit tissues, in Magnetic Resonance Imaging, vol. 87, pp. 119-132, DOI

[40] M. Millardet, S. Moussaoui, J. Idier, D. Mateus, M. Conti, C. Bailly, S. Stute, T. Carlier. A Multiobjective Comparative Analysis of Reconstruction Algorithms in the Context of Low-Statistics 90 Y-PET Imaging, in IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 6, no. 6, pp. 629-640, DOI

[41] G. Collewet, S. Moussaoui, S. Quellec, G. Hajjar, L. Leport, M. Musse. Characterization of Potato Tuber Tissues Using Spatialized MRI T2 Relaxometry, in Biomolecules, vol. 13, no. 2, pp. 286, DOI

[42] M. Manche, K. El Houari, A. Kachenoura, L. Albera, M. Rochette, A. Hernandez, S. Moussaoui. A reduced complexity ECG imaging model for regularized inversion optimization, in Computers in Biology and Medicine, vol. 167, pp. 107698, DOI

[43] S. Levilly, S. Moussaoui, J. Serfaty. Segmentation-Free Velocity Field Super-Resolution on 4D Flow MRI, in IEEE Transactions on Image Processing, vol. 33, pp. 5637-5649, DOI

[44] L. Louis, S. Moussaoui, S. Ravoux, I. Milleville-Pennel. Encouraging the Voluntary Mobilization of Mental Resources by Manipulating Task Design: Explorative Study, in JMIR Formative Research, vol. 9, pp. e63491 – e63491, DOI

[45] A. Barreteau, E. Le Carpentier, O. Regnier-Coudert, S. Moussaoui, P. Gourraud. Stochastic Mixing and Differential Privacy in Utility-Preserving Data Anonymization, in IEEE Workshop Statistical Signal Processing,

[46] A. Barreteau, E. Le Carpentier, O. Regnier-Coudert, S. Moussaoui, P. Gourraud. Utility and Privacy-Preserving ECG Anonymization via Stochastic Linear Mixing, in IEEE Transactions on Privacy, vol. 3, pp. 39-51, DOI

[47] M. Sarkis, M. Rizkallah, S. Moussaoui. Force-Driven Graph Learning and Classification, in IEEE Signal Processing Letters, vol. 33, pp. 1546 – 1550, DOI

[48] V. Roualdes, S. Moussaoui, J. Normand, E. Kuhn, J. Nizard, A. van Langhenhove. EEG-based brain–computer interface with immersive virtual reality for phantom limb pain: a single-center pilot neurofeedback trial, in Frontiers in Human Neuroscience, vol. 20, pp. 1697837, DOI

Revues nationales avec comité de lecture

[49] C. Ribaut-Barassin, J. Dupont, A. Haeberle, G. Bombarde, G. Huber, S. Moussaoui, J. Mariani, Y. Bailly. Alzheimer's disease proteins in cerebellar and hippocampal synapses during postnatal development and aging of the rat., in Neuroscience, vol. 120, pp. 405-423, DOI

[50] S. Moussaoui, D. Brie, C. Carteret, A. Mohammad-Djafari. Bayesian analysis of spectral mixture data using Markov Chain Monte Carlo Methods, in Chemometrics and Intelligent Laboratory Systems, vol. 81(2), pp. 137-148, DOI

[51] T. Veit, J. Idier, S. Moussaoui. Rééchantillonnage de l'échelle dans les algorithmes MCMC pour les problèmes inverses bilinéaires, in Traitement du Signal, vol. 25, no. 4/5, pp. pp 329-343,

[52] N. Dobigeon, S. Moussaoui, M. Coulon, J. Tourneret, A. Hero. Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d’images hyperspectrales, in Traitement du Signal, vol. 27, no. 1, pp. 79-108, DOI

[53] L. Chaâri, E. Chouzenoux, N. Pustelnik, C. Chaux, S. Moussaoui. OPTIMED : Optimisation itérative pour la résolution de problèmes inverses de grande taille, in Traitement du Signal, vol. 28, no. 3-4, pp. 329-374,

[54] E. Chouzenoux, S. Moussaoui, M. Legendre, J. Idier. Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale, in Traitement du Signal, vol. 30, no. 1-2, pp. 35-59,

[55] A. Ba, P. Launeau, M. Robin, S. Moussaoui, C. Michon, M. Giraud, E. Le Menn. Apport du LiDAR dans le géoréférencement d'images hyperspectrales en vue d'un couplage LiDAR/Hyperspectral, in Revue Française de Photogrammétrie et de Télédétection, no. 210, pp. 5-15, DOI

Conférences internationales avec comité de lecture et actes

[56] S. Moussaoui, D. Brie, A. Richard. On the interpretation of a continuous-time model identification method in terms of regularization, in 13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam (NL), Pays-Bas, DOI

[57] S. Moussaoui, D. Brie, O. Caspary, M. Ali. A Bayesian method for positive source separation, in 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, France, DOI

[58] S. Moussaoui, D. Brie, C. Carteret, A. Mohammad-Djafari. Application of Bayesian non-negative source separation to mixture analysis in spectroscopy, in 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MAXENT 2004, Garching bei München, Allemagne,

[59] S. Moussaoui, D. Brie, J. Idier. Non-negative Source Separation: Range of Admissible Solutions and Conditions for the Uniqueness of the Solution, in (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., Philadelphia, France, DOI

[60] S. Moussaoui, D. Brie, C. Carteret. Non-negative source separation using the maximum likelihood approach, in 2005 Microwave Electronics: Measurements, Identification, Applications, Bordeaux, France, DOI

[61] S. Moussaoui, D. Brie, C. Carteret. Séparation de sources non-négatives par l'approche du maximum de vraisemblance, in XXe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2005, Louvain-la-Neuve, Belgique,

[62] J. Lilensten, S. Moussaoui, P. Amblard, T. Dudok de Wit, J. Aboudarham, M. Kretzschmar, F. Auchère. On the determination of the solar EUV/XUV spectrum, in COST 724 Action, 8th Management Committee Meeting at Antalya, Antalya, Turquie,

[63] H. Hauksdottir, S. Moussaoui, F. Schmidt, C. Jutten, J. Chanussot, D. Brie. Mars Hyperspectral Data Processing using ICA and Bayesian Positive Source Separation,

[64] L. Guillemot, Y. Gaudeau, S. Moussaoui, J. Moureaux. ,

[65] J. Lilensten, T. Dudok de Wit, M. Kretzschmar, P. Amblard, S. Moussaoui, J. Aboudarham, F. Auchère. Retrieving the EUV Solar Spectrum from a Selected Set of Lines for Space Weather Purposes: A Review of Theories, Models and Experiments, in Third European Space Weather Week, Bruxelles, Belgique,

[66] M. Kretzschmar, T. Dudok de Wit, J. Lilensten, J. Aboudarham, P. Amblard, F. Auchère, S. Moussaoui. Statistical analysis of Solar Irradiance, in EGU 2007 – European Geosciences Union General Assembly, Vienne, Autriche,

[67] C. Jutten, S. Moussaoui, F. Schmidt. How to Apply ICA on Actual Data? Example of Mars Hyperspectral Image Analysis, in DSP 2007 – 15th IEEE International Conference on Digital Signal Processing, Cardiff, Royaume-Uni,

[68] N. Dobigeon, J. Tourneret, S. Moussaoui. Blind unmixing of linear mixtures using a hierarchical Bayesian model. Application to spectroscopic signal analysis, in IEEE Workshop on Statistical Signal Processing, Madison, états-Unis, DOI

[69] T. Dudok de Wit, M. Kretzschmar, J. Lilensten, P. Amblard, S. Moussaoui, J. Aboudarham, F. Auchère. Can the total solar irradiance be reconstructed from solar activity proxies ?, in SOHO 20 – Transient Events on the Sun and in the Heliosphere, Ghent, Belgique,

[70] N. Dobigeon, S. Moussaoui, J. Tourneret. Séparation bayésienne de sources spectrales sous contraintes de positivité et d'additivité, in XXIième Colloque GRETSI sur le Traitement du Signal et des Images, Troyes, France,

[71] T. Dudok de Wit, M. Kretzschmar, S. Moussaoui, P. Amblard, J. Lilensten, F. Auchère, J. Aboudarham. The EUV Sun as a superposition of 3 elementary Suns, in COSPAR 2008 – 37th COSPAR Scientific Assembly, Matsue, Canada,

[72] L. Duarte, C. Jutten, S. Moussaoui. Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method, in ICA 2009 – 8th International Conference on Independent Component Analysis and Signal Separation, Paraty, Brésil,

[73] A. Villa, J. Chanussot, C. Jutten, J. Benediktsson, S. Moussaoui. On the use of ICA for hyperspectral image analysis, in IGARSS 2009 – IEEE International Geoscience and Remote Sensing Symposium, Le Cap, Afrique du Sud,

[74] E. Chouzenoux, S. Moussaoui, J. Idier. A Majorize-Minimize line search algorithm for barrier function optimization, in EURASIP European Signal and Image Processing Conference, Glasgow, Royaume-Uni,

[75] F. Schmidt, S. Moussaoui, N. Dobigeon. Material identification on martian hyperspectral images using bayesian source separation, in First IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France, DOI

[76] T. Dudok de Wit, S. Moussaoui, P. Amblard, J. Aboudarham, F. Auchère, M. Kretzschmar, J. Lilensten. Multispectral imaging the sun in the ultraviolet, in WHISPERS 2009 – 1st IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France, DOI

[77] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Reconstruction d'un spectre RMN 2D par maximum d'entropie, in XXIIième colloque GRETSI sur le Traitement du Signal et des Images, Dijon, France,

[78] N. Dobigeon, S. Moussaoui, M. Coulon, J. Tourneret. Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale, in XIIème colloque GRETSI sur le Traitement du Signal et des Images, Dijon, France,

[79] L. Duarte, C. Jutten, S. Moussaoui. Bayesian source separation of linear-quadratic and linear mixtures through a MCMC method, in MLSP 2009 – IEEE 19th International Workshop on Machine Learning for Signal Processing, Grenoble, France,

[80] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Reconstruction d'un spectre RMN 2D par maximum d'entropie, in 22ème colloque Gretsi 2009, Dijon, France,

[81] E. Tréguier, F. Schmidt, P. Pinet, C. d'Uston, P. Martin, S. Moussaoui, N. Dobigeon. Multivariate approach for evaluating the composition of Meridiani spherules, in European Planetary Science Congress (EPSC 2009), Potsdam, Allemagne,

[82] F. Schmidt, S. Moussaoui, N. Dobigeon. Material identification on hyperspectral images using Bayesian source separation, in European Planetary Science Congress (EPSC 2009), Potsdam, Allemagne,

[83] N. Dobigeon, S. Moussaoui, M. Coulon, J. Tourneret, A. Hero. Subspace-based Bayesian blind source separation for hyperspectral imagery, in 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2009), Aruba, Antilles, Pays-Bas, DOI

[84] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Optimization of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction, in IEEE International Conference on Acoustics, Speech and Signal Procesing, Dallas, états-Unis, DOI

[85] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Optimisation of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction, in ICASSP 2010, Texas, états-Unis,

[86] A. Schmidt, F. Schmidt, E. Treguier, S. Moussaoui, N. Dobigeon. Matrix approximation techniques for unsupervised hyperspectral data analysis, in EGU General Assembly, Vienne, Autriche,

[87] E. Tréguier, F. Schmidt, A. Schmidt, M. Guiheneuf, S. Moussaoui, N. Dobigeon, P. Martin. Applying new spectral unmixing technique to Martian hyperspectral data, in EGU General Assembly, Vienne, Autriche,

[88] S. Rodriguez, F. Schmidt, S. Moussaoui, S. Le Mouélic, P. Rannou, J. Barnes, C. Sotin, R. Brown, K. Baines, B. Buratti, R. Clark, P. Nicholson. Systematic detection of Titan's clouds in VIMS/CASSINI hyperstrectral images using a new automated algorithm, in Whispers'10, Reykjavik, Islande,

[89] F. Schmidt, A. Schmidt, E. Tréguier, M. Guiheneuf, S. Moussaoui, N. Dobigeon. Accuracy and performance of optimized Bayesian source separation for hyperspectral unmixing, in Whispers'10, Reykjavik, Islande,

[90] S. Rodriguez, F. Schmidt, S. Moussaoui, S. Le Mouélic, P. Rannou, J. Barnes, C. Sotin, B. R.H., B. K.H., B. B.J., C. R.N., N. P.D.. Systematic detection of Titan's clouds in VIMS/Cassini hyperspectral images using a new automated algorithm, IEEE Transactions on Geoscience and Remote Sensing, Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, in WHISPERS, Reykjavik, Islande, DOI

[91] A. Schmidt, E. Tréguier, F. Schmidt, M. Guiheneuf, S. Moussaoui, N. Dobigeon, C. Pelloquin. Multi-image unsupervised spectral analysis, in European Planetary Science Congress, Rome, Italie,

[92] E. Tréguier, F. Schmidt, A. Schmidt, S. Moussaoui, N. Dobigeon, S. Erard, A. Cardesn, P. Pinet, P. Martin. Investigating Martian and Venusian hyperspectral datasets, in AGU Fall Meeting, San Francisco, états-Unis,

[93] C. El Tannoury, S. Moussaoui, F. Plestan, G. Pita Gil. Rolling Resistance Monitoring using Software Sensors, in International Conference on Vehicle Dynamics, Mulhouse, France,

[94] C. El Tannoury, F. Plestan, S. Moussaoui, N. Romani. Tyre effective radius and vehicle velocity estimation: a variable structure observer solution, in IEEE International Multi-Conference on Systems, Signals & Devices, Conference on Systems, Analysis & Automatic Control, Sousse, Tunisie,

[95] A. Schmidt, E. Tréguier, F. Schmidt, S. Moussaoui, N. Dobigeon. Non-negative matrix factorisation in context, in European Geosciences Union General Assembly (EGU 2011), Vienna, Autriche,

[96] E. Chouzenoux, S. Moussaoui, J. Idier. Efficiency of linesearch strategies in interior point methods for linearly constrained signal restoration, in IEEE Workshop on Statistical Signal Processing (SSP'2011), Nice, France, DOI

[97] E. Chouzenoux, S. Moussaoui, J. Idier. Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale, in XXIIIième colloque GRETSI sur le Traitement du Signal et des Images, Bordeaux, France,

[98] E. Tréguier, F. Schmidt, S. Erard, A. Cardesin, P. Martin, P. Pinet, S. Moussaoui, N. Dobigeon. Investigation of a small set of hyperspectral images through non-negative source separation, in European Planetary Science Congress (EPSC 2011) @ EPSC-DPS Joint Meeting 2011, Nantes, France,

[99] C. El Tannoury, F. Plestan, S. Moussaoui, G. Pita Gil. Rolling resistance monitoring by using software sensors, in 12th International Workshop on Variable Structure Systems, Inde,

[100] Y. Gaudeau, L. Guillemot, S. Moussaoui, J. Moureaux. Low complexity bit allocation based on a multidimensional mixture model using lattice vector quantization, in Picture Coding Symposium 2012, PCS'2012, Cracovie, Pologne,

[101] S. Moussaoui, E. Chouzenoux, J. Idier. Primal-dual interior point optimization for penalized least squares estimation of abundance maps in hyperspectral imaging, in IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Shanghai, Chine,

[102] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), Vancouver, Canada, DOI

[103] S. Henrot, S. Moussaoui, C. Soussen, D. Brie. Edge-preserving nonnegative hyperspectral image restoration, in 38th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, Canada,

[104] M. Legendre, S. Moussaoui, F. Schmidt, J. Idier. Parallel implementation of a primal-dual interior-point optimization method for fast abundance maps estimation, in Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, états-Unis, DOI

[105] C. Gilavert, S. Moussaoui, J. Idier. Rééchantillonnage gaussien en grande dimension pour les problèmes inverses, in Colloque GRETSI pour le Traitement du Signal et des Images, Brest, France,

[106] C. Laluc, S. Moussaoui, J. Idier, A. Clément. Prédiction court-terme de la hauteur des vagues pour la commande d'un houlogénérateur, in XXIVe colloque GRETSI sur le Traitement du Signal et des Images, Brest, France,

[107] M. Legendre, S. Moussaoui, F. Schmidt, J. Idier. Implémentation parallèle d'une méthode d'estimation des cartes d'abondances en imagerie hyperspectrale, in Colloque GRETSI pour le Traitement du Signal et des Images, Brrest, France,

[108] S. Henrot, C. Soussen, S. Moussaoui, D. Brie. Restauration positive d'images hyperspectrales avec préservation des contours, in XXIVe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2013, Brest, France,

[109] M. Legendre, S. Moussaoui, E. Chouzenoux, J. Idier. Primal-dual Interior-Point Optimization Based on Majorization-Minimization for Edge-Preserving Spectral Unmixing, in IEEE International Conference on Image Processing, Paris, France, DOI

[110] J. Davins-Valldaura, S. Moussaoui, F. Plestan, G. Pita Gil. ParEGO Extensions for Multi-objective Optimization of Expensive Evaluation Function, in World congress on global optimization, Gainesville, états-Unis,

[111] N. Kumar, S. Moussaoui, J. Idier, D. Brie. Impact of sparse representation on the admissible solutions of spectral unmixing by non-negative matrix factorization, in 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015, Tokyo, Japon, DOI

[112] J. Davins-Valldaura, S. Moussaoui, G. Pita Gil, F. Plestan. Sliding mode observer design for the road curvature estimation in Traffic Jam Pilot system, in 14th International Workshop on Variable Structure Systems, Nanjing, Chine,

[113] M. Kermadi, S. Moussaoui, A. Taieb Brahimi, M. Feliachi. Application of Kernel Change Detection Method in Eddy Current Non-destructive Testing, in 8th European Workshop on Structural Health Monitoring, Bilbao, Espagne,

[114] S. Levilly, J. Idier, F. Bonnefoy, D. Le Touzé, P. Paul-Gilloteaux, S. Moussaoui, J. Serfaty. Filtrage spatio-temporel en IRM de flux sanguin 4D, in XXVIème colloque GRETSI sur le Traitement du Signal et des Images, Juan-Les-Pins, France,

[115] T. Ajamian, S. Moussaoui, A. Dupret, C. Layer. Compressed signal acquisition in wire diagnostic, in 2017 IEEE SENSORS, Glasgow, Royaume-Uni, DOI

[116] Q. Jiang, S. Moussaoui, J. Idier, G. Collewet, M. Xu. Majorization-Minimization Algorithms for Maximum Likelihood Estimation of Magnetic Resonance Images, in Seventh IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA'2017), Montréal, Canada, DOI

[117] C. El Hajj, G. Collewet, M. Musse, S. Moussaoui. Spatially regularized multi-exponential transverse relaxation times estimation from magnitude MRI images under Rician noise, in Joint Annual Meeting ISMRM-ESMRMB, Paris, France,

[118] D. Winterauer, S. Moussaoui, T. Batten, B. Humbert, D. Funes-Hernando. Fast super-resolution of hyperspectral 2d raman data, in SIAM conference on Imaging Science, Bologne, Italie,

[119] D. Winterauer, T. Batten, S. Moussaoui, B. Humbert, D. Funes. Resolving nanomaterial properties at better than 50nm resolution in raman spectroscopy, in SIAM Conference on Imaging Science, Bologne, Italie,

[120] K. Akhmadeev, A. Houssein, S. Moussaoui, E. Høgestøl, I. Tutturen, H. Harbo, S. Bos-Haugen, J. Graves, D. Laplaud, P. Gourraud. Un système basé sur SVM pour détection des patients ayant Sclérose en Plaques en utilisant un capteur EMG commercial., in 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, Sheffield, Royaume-Uni, DOI

[121] C. El-Hajj, G. Collewet, M. Musse, S. Moussaoui. Fruit tissues classification from multi-exponential T2 maps, in 14th International Conference on the Applications of Magnetic Resonance in Food Science, Rennes, France,

[122] S. Moussaoui. Optimized signal processing methods for NMR signal modeling and MRI data analysis for the estimation for relaxation time distributions, in 14th International Conference on the Applications of Magnetic Resonance in Food Science, Rennes, France,

[123] T. Ajamian, S. Moussaoui, A. Dupret, C. Layer. A Novel Compressive Sampling Approach for Detecting Hard Defects in Complex Wire Networks, in 2018 IEEE AUTOTESTCON, National Harbor, états-Unis, DOI

[124] M. Millardet, S. Moussaoui, D. Mateus, J. Idier, M. Conti, T. Carlier. A comparative study of AML, NEGML and OSEM based on experimental and clinical 90Y-PET data using the CASToR platform, in Medical Imaging Conference, Sydney, Australie, DOI

[125] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Mendes-Siqueira, F. Delayens. Automated identification of components within complex mixtures by spectrometric data analysis, in TOTAL Symposium on Mathematics, MATHIAS 2019 Computational Science Engineering, Data Science & Artificial Intelligence by Total R&D, Paris, France,

[126] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Multi-Exponential Relaxation Times Maps Reconstruction and Unsupervised Classification in Magnitude Magnetic Resonance Imaging, in 27th European Signal Processing Conference, La Corogne, Espagne, DOI

[127] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Spatially Regularized Multi-Exponential Transverse Relaxation Times Estimation From Magnitude Magnetic Resonance Images Under Rician Noise, in 26th IEEE International Conference on Image Processing, Tapei, Taïwan, DOI

[128] L. Nus, S. Miron, B. Jaillais, S. Moussaoui, D. Brie. A semi-supervised rank tracking algorithm for on-line unmixing of hyperspectral images, in International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelone, Espagne, DOI

[129] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Mendes Siqueira, F. Delayens. Supervised mixture analysis and Source detection from multimodal measurements, in 28th International Conference on Systems, Signals and Image Processing, Bratislava, Slovaquie,

[130] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Mendes Siqueira, F. Delayens. A DECISION FUSION FOR SOURCE DETECTION BASED ON MULTIMODAL SUPERVISED SPECTRAL UNMIXING, in 2021 IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brésil, DOI

[131] S. Levilly, S. Moussaoui, J. Serfaty. NAVIER-STOKES-BASED REGULARIZATION FOR 4D FLOW MRI SUPER-RESOLUTION, in International Symposium on Biomedical Imaging (ISBI), Kolkata, France,

[132] G. Collewet, G. Hajjar, S. Quellec, S. Moussaoui, S. Challois, C. Deleu, L. Leport, M. Musse. Tissue characterization of potato tubers using localized MRI T2 Relaxometry, in International Plant Spectroscopy Conference, 2022, Nantes., Nantes, France,

[133] A. Merasli, T. Liu, T. Carlier, D. Mateus, M. Millardet, S. Moussaoui, S. Stute. Nested ADMM for PET reconstruction with two constraints: Deep Image Prior and non-negativity in projection space, in 2022 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference, Milan, Italie, DOI

[134] Y. Jus, A. Nassef, H. Lejeune, C. Alzard, R. Turpin, G. Lebret, S. Moussaoui, F. Plestan. Digital twin of a hydraulic loop: application to fault detection and parameter estimation, in NAFEMS NRC22 France, Senlis, France,

[135] Y. Belkahla, A. Taieb Brahimi, S. Moussaoui. Eddy Current Nondestructive Testing using Surface Impedance Boundary Condition and Global Optimization, in 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE), M'Sila, Algérie,

[136] L. Louis, S. Moussaoui, V. Roualdes, A. van Langhenhove, S. Ravoux, I. Milleville-Pennel. Monitoring mental workload by EEG during a game in Virtual Reality, in IHM'23 – 34e Conférence Internationale Francophone sur l'Interaction Humain-Machine, Troyes, France, DOI

[137] A. Merasli, T. Carlier, D. Mateus, S. Moussaoui, S. Stute. The influence of input and skip connections in PET reconstruction with Deep Image Prior, in 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference, Vancouver (BC), Canada,

[138] M. Sarkis, M. Rizkallah, S. Moussaoui. Functional Graph Image Representation applied to EEG-based Mental Workload Classification, in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, France, DOI

[139] Y. Moussaoui, D. Mateus, S. Moussaoui, T. Carlier, S. Stute. Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction, in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, France, DOI

[140] Y. Jus, G. Fagot, O. Imhogiemhe, H. Lejeune, S. Moussaoui. Towards a digital twin of a fluid loop : application to predictive maintenance and decision making, in NAFEMS FRANCE CONFERENCE, Senlis, France, France,

[141] M. Sarkis, M. Rizkallah, S. Moussaoui. Graph Force Learning from EEG Signals for Mental Workload Classification, in 2025 IEEE Statistical Signal Processing Workshop (SSP), Edinburgh, France, DOI

[142] O. Imhogiemhe, Y. Jus, H. Lejeune, S. Moussaoui. Data-Driven Supervision of a Thermal-Hydraulic Process Towards a Physics-Based Digital Twin, in International Conference on Control, Automation and Diagnosis, Barcelona (ES), Espagne,

[143] O. Imhogiemhe, Y. Jus, H. Lejeune, S. Moussaoui. THERMAL-HYDRAULIC PROCESS SUPERVISION AND MONITORING THROUGH A DATA-DRIVEN DIGITAL TWIN, in International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Anaheim (CA), états-Unis,

[144] M. Sarkis, M. Rizkallah, S. Moussaoui. Réseaux de neurones sur graphes pour l'analyse de signaux EEG, in XXXe Colloque Francophone de Traitement du Signal et des Images Gretsi, Strasbourg, France,

[145] Y. Moussaoui, S. Moussaoui, D. Mateus, T. Carlier, S. Stute. Learning Regularization Parameters for PET Image Reconstruction, in IEEE Nuclear Science Symposium Medical Imaging Conference and Room Temperature Semiconductor Conference, Yokohama, Japon,

[146] Y. Moussaoui, D. Mateus, L. El Hadi, S. Moussaoui, S. Stute, N. Taheri. SPINR: SELF-SUPERVISED PET RECONSTRUCTION USING IMPLICIT NEURAL REPRESENTATIONS, in IEEE International Symposium on Biomedical Imaging, London, Royaume-Uni,

Conférences nationales avec comité de lecture et actes

[147] H. Hauksdottir, S. Moussaoui, F. Schmidt, C. Jutten, J. Chanussot, D. Brie. Mars Hyperspectral Data Processing using ICA and Bayesian Positive Source Separation, in MaxEnt 2006, Paris, France,

[148] M. Kretzschmar, S. Moussaoui, J. Lilensten, T. Dudok de Wit, F. Auchère, P. Amblard, J. Aboudarham. Decomposition of the Solar EUV irradiance in spectral sources, in Third European Space Weather Week (ESWW3), Bruxelles, Belgique,

[149] P. Amblard, S. Moussaoui, T. Dudok de Wit, J. Lilensten, M. Kretzschmar, J. Aboudarham, F. Auchère. Le soleil comme superposition de soleils élémentaires, in GRETSI 2007 – XXIème Colloque francophone de traitement du signal et des images, Troyes, France,

[150] L. Duarte, C. Jutten, S. Moussaoui. Séparation de sources dans le cas de mélanges linéaires-quadratiques et linéaires par une approche bayésienne, in GRETSI 2009 – XXIIème Colloque francophone de traitement du signal et des images, Dijon, France,

[151] S. Henrot, C. Soussen, S. Moussaoui, D. Brie. Restauration positive d'images hyperspectrales avec préservation des contours, in Journée GdR ISIS "Optimisation convexe sous contrainte", Paris, France,

[152] J. Davins-Valldaura, S. Moussaoui, G. Pita Gil, F. Plestan. Optimisation des paramètres d’un système de surveillance de la pression des pneumatiques d’un véhicule automobile, in 25ème colloque GRETSI, Lyon, France,

[153] Q. Jiang, S. Moussaoui, J. Idier, G. Collewet. Optimisation itérative par majoration-minimisation pour l’estimation statistique sous l’hypothèse d’un bruit ricien, in Actes du XXVIème colloque GRETSI sur le Traitement du Signal et des Images, Juan-Les-Pins, France,

[154] T. Ajamian, S. Moussaoui, A. Dupret. Échantillonnage comprimé pour le diagnostic filaire par réflecométrie, in Actes du XXVIème colloque GRETSI sur le Traitement du Signal et des Images, Juan-Les-Pins, France,

[155] B. Jaillais, K. Meghar, L. Nus, S. Miron, D. Brie, S. Moussaoui. Unsupervised processing of hyperspectral images, in CHIMIOMETRIE XIX, Paris, France,

[156] C. El Hajj, S. Moussaoui, G. Collewet, M. Musse. Reconstruction et classification des temps de relaxation multi-exponentielle en IRM, in XXVIIème Colloque GRETSI sur le Traitement du Signal et des Images, Lille, France,

Brevets

[157] C. El Tannoury, F. Plestan, S. Moussaoui, N. Romani. Estimation du rayon dynamique d'une roue et de la vitesse d'un véhicule automobile,

[158] C. El Tannoury, F. Plestan, S. Moussaoui, G. Pita Gil. Procédé d'estimation de la résistance au roulement d'une roue de véhicule automobile (observateur à structure variable),

[159] C. El Tannoury, S. Moussaoui, G. Pita Gil, F. Plestan, N. Romani. Estimation du rayon dynamique d'une roue et de la vitesse d'un véhicule automobile,

[160] C. El Tannoury, S. Moussaoui, G. Pita Gil, F. Plestan, N. Romani. Procédé d'estimation de la résistance au roulement d'une roue de véhicule,

[161] C. El Tannoury, S. Moussaoui, G. Pita Gil, F. Plestan. Procédé d'estimation de la résistance au roulement de roues équipant un train d'un véhicule,

[162] C. El Tannoury, S. Moussaoui, G. Pita Gil. Perfectionnement de la mesure de vitesse de rotation d'une roue,

[163] C. El Tannoury, S. Moussaoui, G. Pita Gil. Procédé de détection du sens de rotation d'une roue utilisant un capteur de vitesse non signé,

[164] J. Davins-Valldaura, F. Plestan, S. Moussaoui, I. Ballesteros Tolosana, P. Vignaud. Dispositif de suivi de trajectoire d’un vehicule,

[165] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Mendes Siqueira, F. Delayens. Procédé et dispositif électronique de détermination d'un ensemble de grandeur(s) relatif à au moins un échantillon à partir d'un dispositif de spectrométrie, programme d'ordinateur et système de mesure associés,

[166] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Siqueira, F. Delayens. Procédé et dispositif électronique d’estimation d’un ensemble de composant(s) d’un produit à partir d’un dispositif de spectrométrie, programme d’ordinateur et système de mesure associés,

Ouvrages – Chapitres d'ouvrages et directions d'ouvrages

[167] M. Kretzschmar, T. Dudok de Wit, J. Lilensten, J. Hochedez, J. Aboudarham, P. Amblard, F. Auchère, S. Moussaoui. Solar EUV/FUV irradiance variation: analysis and observational strategy,

[168] S. Moussaoui, D. Brie, C. Carteret. Bayesian approach to linear spectral mixture analysis,

[169] N. Dobigeon, S. Moussaoui, M. Coulon, J. Tourneret, A. Hero. MCMC algorithms for supervised and unsupervised linear unmixing of hyperspectral images, DOI

[170] N. Dobigeon, Y. Altmann, N. Brun, S. Moussaoui. Linear and nonlinear unmixing in hyperspectral imaging, DOI

[171] D. Brie, S. Moussaoui, S. Miron, C. Carteret, M. Dossot. Bayesian positive source separation for spectral mixture analysis,

[172] J. Lefeuvre, S. Moussaoui, L. Grosset, A. Siqueira, F. Delayens. Supervised Mixture Analysis and Source Detection from Multimodal Measurements, DOI

Theses et HDR

[173] S. Moussaoui. Séparation de sources non-négatives : application au traitement des signaux de spectroscopie,

[174] S. Moussaoui. Séparation de sources non-négatives. Application au traitement des signaux de spectroscopie,

[175] S. Moussaoui. Contributions à la résolution de problèmes inverses de grande taille en traitement du signal et de l'image,

Autres publications

[176] N. Dobigeon, S. Moussaoui, J. Tourneret, C. Carteret. Bayesian separation of spectral sources under non-negativity and full additivity constraints,

[177] F. Schmidt, A. Schmidt, E. Treguier, M. Guiheneuf, S. Moussaoui, N. Dobigeon. Implementation strategies for hyperspectral unmixing using Bayesian source separation,

[178] E. Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra,

[179] E. Chouzenoux, S. Moussaoui, J. Idier. A Majorize-Minimize line search algorithm for barrier functions,

[180] E. Chouzenoux, J. Idier, S. Moussaoui. A Majorize-Minimize strategy for subspace optimization applied to image restoration,

[181] E. Tréguier, A. Schmidt, F. Schmidt, A. Cardesin, S. Erard, P. Martin, P. Pinet, S. Moussaoui, N. Dobigeon. Analysis of a collection of planetary hyperspectral images through non-negative source separation, in European Geosciences Union General Assembly (2011), Vienna, Autriche,

[182] D. Brie, R. Klotz, S. Miron, S. Moussaoui, C. Mustin, P. Becuwe, S. Grandemange. Joint Analysis of Flow Cytometry Data and Fluorescence Spectra as a Non-Negative Array Factorization Problem,

[183] R. Kovrllija, C. Rondeau-Mouro, S. Moussaoui. 2D T1-T2 NMR spectroscopy to monitor the thermal processing of starch, in FOODMR 2014, Cesena, Italie,

[184] S. Henrot, C. Soussen, S. Moussaoui, D. Brie. Edge-preserving nonnegative deconvolution of hyperspectral fluorescence microscopy images,

[185] Y. Altmann, N. Brun, N. Dobigeon, K. March, S. Moussaoui, O. Schneegans. Hyperspectral EELS Image Unmixing, in 6th Conference in Spectral Imaging (IASIM 2016), Chamonix, France,

[186] S. Levilly, J. Idier, D. Le Touzé, P. Paul-Gilloteaux, F. Bonnefoy, S. Moussaoui, J. Serfaty. Spatio-temporal filtering of blood flow in 4D Phase-Contrast MRI, in Society for Magnetic Resonance Angiography, 29th Annual International Conference (SMRA 2017), Stellenbosch, Afrique du Sud,

[187] S. Moussaoui, C. Rondeau-Mouro. Extension du code numérique EMILIO au traitement de données issues ou incluant le signal de précession libre appelé FID,

[188] S. Moussaoui, E. Chouzenoux, J. Idier, F. Mariette. Maximisation de l’entropie pour l’inversion de la transformée de Laplace par optimisation itérative,

[189] M. Millardet, S. Moussaoui, D. Mateus, J. Idier, T. Carlier. Étude comparative d'AML, NEGML et OSEM sur des données 90Y-TEP expérimentales et cliniques en utilisant CASToR, in Journées du Cancéropôle Grand Ouest, Vannes, France,

[190] M. Millardet, S. Moussaoui, D. Mateus, J. Idier, T. Carlier. Local-mean preserving post-processing for non-negativity enforcement in 90Y-PET imaging, in Medical Imaging Conference, Sydney, Australie, DOI

[191] L. Sébastien, J. Idier, F. Bonnefoy, D. Le Touzé, P. Paul-Gilloteaux, J. Serfaty, S. Moussaoui. Quantification du cisaillement à la paroi sur des carotides. dans le contexte de simulation d'acquisition par IRM de flux 4D, in Society for Magnetic Resonance Angiography conference, 31st Annual International Conference, Nantes, France,

[192] S. Gassama, N. Philippe, K. Akhmadeev, L. Souquières, A. Houssein, S. Moussaoui, D. Laplaud, P. Gourraud. The Rise of Connected Tools in Medicine : Evaluating Neurological Deficits in Lower Limbs With The MYO Armband in Multiple Sclerosis Patients, in 2020 Annual Meeting of American Academy of Neurology, Toronto, Canada,

[193] L. Louis, S. Moussaoui, S. Ravoux, A. van Langhenhove, V. Roualdes, I. Milleville-Pennel. Inter-tasks transferability of a subjective cognitive load classification model, in Psychonomic Society's 64th Annual Meeting, San Francisco, California, états-Unis,

[194] Y. Moussaoui, D. Mateus, S. Moussaoui, T. Carlier, S. Stute. Networks for the Prediction of the Regularization Parameters in PET Reconstruction, in Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Grenoble, France,

[195] Y. Moussaoui, D. Mateus, N. Taheri, S. Moussaoui, T. Carlier, S. Stute. Implicit Neural Network for End-to-End PET Reconstruction, in Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Nice, France,

[196] M. Sarkis, M. Rizkallah, S. Moussaoui. Graph Force Learning from EEG Signals for Mental Workload Classification,

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