A Bayesian method for positive source separation. - Saïd Moussaoui; David Brie; Olivier Caspary; Ali Mohammad-Djafari (ICASSP (5), 2004)

Non-negative source separation: range of admissible solutions and conditions for the uniqueness of the solution. - Saïd Moussaoui; David Brie; Jérôme Idier (ICASSP (5), 2005)

Regularization aspects in continuous-time model identification. - Saïd Moussaoui; David Brie; Alain Richard (Autom., 2005)

An analytical Gamma mixture based Rate-Distortion model for lattice vector quantization. - Ludovic Guillemot; Yann Gaudeau; Saïd Moussaoui; Jean-Marie Moureaux (EUSIPCO, 2006)

Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling. - Saïd Moussaoui; David Brie; Ali Mohammad-Djafari; Cédric Carteret (IEEE Trans. Signal Process., 2006)

How to Apply ICA on Actual Data ? Example of Mars Hyperspectral Image Analysis. - Christian Jutten; Saïd Moussaoui; Frédéric Schmidt (DSP, 2007)

On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation. - Saïd Moussaoui; Hafrun Hauksdóttir; Frédéric Schmidt; Christian Jutten; Jocelyn Chanussot; David Brie; Sylvain Douté; Jón Atli Benediktsson (Neurocomputing, 2008)

Entropy-Coded Lattice Vector Quantization Dedicated to the Block Mixture Densities. - Ludovic Guillemot; Yann Gaudeau; Saïd Moussaoui; Jean-Marie Moureaux (IEEE Trans. Image Process., 2008)

A majorize-minimize line search algorithm for barrier function optimization. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier (EUSIPCO, 2009)

Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. - Leonardo Tomazeli Duarte; Christian Jutten; Saïd Moussaoui (ICA, 2009)

On the Use of ICA for Hyperspectral Image Analysis. - Alberto Villa; Jocelyn Chanussot; Christian Jutten; Jón Atli Benediktsson; Saïd Moussaoui (IGARSS (4), 2009)

Material identification on martian hyperspectral images using bayesian source separation. - Frédéric Schmidt; Saïd Moussaoui; Nicolas Dobigeon (WHISPERS, 2009)

Multispectral imaging the sun in the ultraviolet. - Thierry Dudok De Wit; Saïd Moussaoui; Pierre-Olivier Amblard; Jean Aboudarham; Frederic Auchère; Matthieu Kretzschmar; Jean Lilensten (WHISPERS, 2009)

Bayesian separation of spectral sources under non-negativity and full additivity constraints. - Nicolas Dobigeon; Saïd Moussaoui; Jean-Yves Tourneret; Cédric Carteret (Signal Process., 2009)

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery. - Nicolas Dobigeon; Saïd Moussaoui; Martial Coulon; Jean-Yves Tourneret; Alfred O. Hero III (IEEE Trans. Signal Process., 2009)

Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier; François Mariette (ICASSP, 2010)

Systematic detection of Titan's clouds in VIMS/Cassini hyperspectral images using a new automated algorithm. - Sébastien Rodriguez; Frédéric Schmidt; Saïd Moussaoui; Stéphane Le Mouélic; Pascal Rannou; Jason W. Barnes; Christophe Sotin; Robert H. Brown; Kevin H. Baines; Bonnie J. Buratti; Roger N. Clark; Phil D. Nicholson (WHISPERS, 2010)

Accuracy and performance of optimized Bayesian Source Separation for hyperspectral unmixing. - Frédéric Schmidt; Albrecht Schmidt 003; Erwan Tréguier; Maël Guiheneuf; Saïd Moussaoui; Nicolas Dobigeon (WHISPERS, 2010)

Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales. - Nicolas Dobigeon; Saïd Moussaoui; Martial Coulon; Jean-Yves Tourneret; Alfred O. Hero III (Traitement du Signal, 2010)

Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation. - Frédéric Schmidt; Albrecht Schmidt 003; Erwan Tréguier; Maël Guiheneuf; Saïd Moussaoui; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2010)

Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier; François Mariette (IEEE Trans. Signal Process., 2010)

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)

A Majorize-Minimize Strategy for Subspace Optimization Applied to Image Restoration. - Emilie Chouzenoux; Jérôme Idier; Saïd Moussaoui (IEEE Trans. Image Process., 2011)

Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors. - Leonardo Tomazeli Duarte; Christian Jutten; Saïd Moussaoui (J. Signal Process. Syst., 2011)

Low complexity bit allocation based on LVQ and multidimensional mixture model. - Yann Gaudeau; Jean-Marie Moureaux; Ludovic Guillemot; Saïd Moussaoui (PCS, 2012)

A variable structure observer for an on-line estimation of a tyre rolling resistance and effective radius. - Charbel El Tannoury; Franck Plestan; Saïd Moussaoui; Guillermo Pita Gil (VSS, 2012)

Primal dual interior point optimization for penalized least squares estimation of abundance maps in hyperspectral imaging. - Saïd Moussaoui; Jérôme Idier; Emilie Chouzenoux (WHISPERS, 2012)

Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier; François Mariette (ICASSP, 2013)

Edge-preserving nonnegative hyperspectral image restoration. - Simon Henrot; Saïd Moussaoui; Charles Soussen; David Brie (ICASSP, 2013)

Parallel implementation of a primal-dual interior-point optimization method for fast abundance maps estimation. - Maxime Legendre; Saïd Moussaoui; Jérôme Idier; Frédéric Schmidt (WHISPERS, 2013)

Solving systems of linear equations by GPU-based matrix factorization in a Science Ground Segment. - Maxime Legendre; Albrecht Schmidt 003; Saïd Moussaoui; Uwe Lammers (Astron. Comput., 2013)

Synthesis and Application of Nonlinear Observers for the Estimation of Tire Effective Radius and Rolling Resistance of an Automotive Vehicle. - Charbel El Tannoury; Saïd Moussaoui; Franck Plestan; Nicolas Romani; Guillermo Pita Gil (IEEE Trans. Control. Syst. Technol., 2013)

Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale. - Emilie Chouzenoux; Saïd Moussaoui; Maxime Legendre; Jérôme Idier (Traitement du Signal, 2013)

Primal-dual interior-point optimization based on majorization-minimization for edge-preserving spectral unmixing. - Maxime Legendre; Saïd Moussaoui; Emilie Chouzenoux; Jérôme Idier (ICIP, 2014)

Source Separation in Chemical Analysis : Recent achievements and perspectives. - Leonardo Tomazeli Duarte; Saïd Moussaoui; Christian Jutten (IEEE Signal Process. Mag., 2014)

Fast Constrained Least Squares Spectral Unmixing Using Primal-Dual Interior-Point Optimization. - Emilie Chouzenoux; Maxime Legendre; Saïd Moussaoui; Jérôme Idier (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Finite-time observation and trajectory tracking for a direct wave energy converter. - Emmanuel Bernuau; Alain Glumineau; Franck Plestan; Saïd Moussaoui (CCA, 2015)

Impact of sparse representation on the admissible solutions of spectral unmixing by non-negative matrix factorization. - Neeraj Kumar; Saïd Moussaoui; Jérôme Idier; David Brie (WHISPERS, 2015)

Efficient Gaussian Sampling for Solving Large-Scale Inverse Problems Using MCMC. - Clément Gilavert; Saïd Moussaoui; Jérôme Idier (IEEE Trans. Signal Process., 2015)

Sliding mode observer design for the road curvature estimation in Traffic Jam Pilot system. - Franck Plestan; Joan Davins-Valldaura; Saïd Moussaoui; Guillermo Pita Gil (VSS, 2016)

Compressed signal acquisition in wire diagnostic. - Tzila Ajamian; Saïd Moussaoui; Antoine Dupret; Christophe Layer (IEEE SENSORS, 2017)

Majorization-minimization algorithms for maximum likelihood estimation of magnetic resonance images. - Qianyi Jiang; Saïd Moussaoui; Jérôme Idier; Guylaine Collewet; Mai Xu (IPTA, 2017)

ParEGO extensions for multi-objective optimization of expensive evaluation functions. - Joan Davins-Valldaura; Saïd Moussaoui; Guillermo Pita Gil; Franck Plestan (J. Glob. Optim., 2017)

Design and Optimization of Nonlinear Observers for Road Curvature and State Estimation in Automated Vehicles. - Joan Davins-Valldaura; Franck Plestan; Saïd Moussaoui; Guillermo Pita Gil (IEEE Trans. Intell. Transp. Syst., 2017)

SVM-Based Tool to Detect Patients with Multiple Sclerosis Using a Commercial EMG Sensor. - Konstantin Akhmadeev; Aya Houssein; Saïd Moussaoui; Einar A. Høgestøl; Ingerid Tutturen; Hanne F. Harbo; Steffan D. Bos-Haugen; Jennifer Graves; David-Axel Laplaud; Pierre-Antoine Gourraud (SAM, 2018)

Full-Waveform LiDAR Pixel Analysis for Low-Growing Vegetation Mapping of Coastal Foredunes in Western France. - Patrick Launeau; Manuel Giraud; Antoine Ba; Saïd Moussaoui; Marc Robin; Françoise Debaine; Dimitri Lague; Erwan Le Menn (Remote. Sens., 2018)

Multi-Exponential Relaxation Times Maps Reconstruction and Unsupervised Classification in Magnitude Magnetic Resonance Imaging. - Christian El-Hajj; Saïd Moussaoui; Guylaine Collewet; Maja Musse (EUSIPCO, 2019)

Spatially Regularized Multi-Exponential Transverse Relaxation Times Estimation from Magnitude Magnetic Resonance Images Under Rician Noise. - Christian El-Hajj; Saïd Moussaoui; Guylaine Collewet; Maja Musse (ICIP, 2019)

Breaking nyquist limitations in reflectometry-based wire diagnosis systems by compressive sampling. - Tzila Ajamian; Saïd Moussaoui; Antoine Dupret (IEEE Instrum. Meas. Mag., 2019)

A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images. - Ludivine Nus; Sebastian Miron; Benoît Jaillais; Saïd Moussaoui; David Brie (ICASSP, 2020)

Multi-Exponential Transverse Relaxation Times Estimation From Magnetic Resonance Images Under Rician Noise and Spatial Regularization. - Christian El-Hajj; Saïd Moussaoui; Guylaine Collewet; Maja Musse (IEEE Trans. Image Process., 2020)

Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET. - Maël Millardet; Saïd Moussaoui; Diana Mateus; Jérôme Idier; Thomas Carlier (IEEE Trans. Medical Imaging, 2020)

Supervised Mixture Analysis and Source Detection from Multimodal Measurements. - Johan Lefeuvre; Saïd Moussaoui; Laurent Grosset; Anna Luiza Mendes Siqueira; Franck Delayens (IWSSIP, 2021)

A Decision Fusion for Source Detection Based on Multimodal Supervised Spectral Unmixing. - Johan Lefeuvre; Saïd Moussaoui; Laurent Grosset; Anna Luiza Mendes Siqueira; Franck Delayens (SSP, 2021)

Segmentation-Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization. - Sébastien Levilly; Saïd Moussaoui; Jean-Michel Serfaty (ICIP, 2022)

Navier-Stokes-Based Regularization for 4d Flow MRI Super-Resolution. - Sébastien Levilly; Saïd Moussaoui; Jean-Michel Serfaty (ISBI, 2022)

Monitoring mental workload by EEG during a game in Virtual Reality. - Lina-Estelle Linelle Louis; Saïd Moussaoui; Vincent Roualdes; Aurélien van Langhenhove; Sébastien Ravoux; Isabelle Milleville-Pennel (CoRR, 2023)

A reduced complexity ECG imaging model for regularized inversion optimization. - Maureen Manche; Karim El Houari; Amar Kachenoura; Laurent Albera; Michel Rochette; Alfredo Hernández 001; Saïd Moussaoui (Comput. Biol. Medicine, 2023)

Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction. - Younes Moussaoui; Diana Mateus; Saïd Moussaoui; Thomas Carlier; Simon Stute (EMBC, 2024)

Functional Graph Image Representation applied to EEG-based Mental Workload Classification. - Maria Sarkis; Mira Rizkallah; Saïd Moussaoui (EMBC, 2024)

Segmentation-Free Velocity Field Super-Resolution on 4D Flow MRI. - Sébastien Levilly; Saïd Moussaoui; Jean-Michel Serfaty (IEEE Trans. Image Process., 2024)

Implicit Neural Representations for End-to-End PET Reconstruction. - Younes Moussaoui; Diana Mateus; Nasrin Taheri; Saïd Moussaoui; Thomas Carlier; Simon Stute (ISBI, 2025)

Stochastic Mixing and Differential Privacy in Utility-Preserving Data Anonymization. - Alban-Félix Barreteau; Eric Le Carpentier; Olivier Regnier-Coudert; Saïd Moussaoui; Pierre-Antoine Gourraud (SSP, 2025)

Graph Force Learning from EEG Signals for Mental Workload Classification. - Maria Sarkis; Mira Rizkallah; Saïd Moussaoui (SSP, 2025)