A statistical study of a regularized method for long auto-regressive spectral estimation. - Jean-François Giovannelli; Guy Demoment (ICASSP (4), 1993)

Regularized estimation of flow patterns in MR velocimetry. - Alain Herment; Jean-François Giovannelli; Élie Mousseaux; Jérôme Idier; Alain De Cesare; Odile Jolivet; Jacques Bittoun (ICIP (3), 1996)

Structural stability of least squares prediction methods. - Jérôme Idier; Jean-François Giovannelli (IEEE Trans. Signal Process., 1998)

Markovian high resolution spectral analysis. - Philippe Ciuciu; Jérôme Idier; Jean-François Giovannelli (ICASSP, 1999)

Regularized adaptive long autoregressive spectral analysis. - Jean-François Giovannelli; Jérôme Idier; Daniel Muller; Guy Desodt (IEEE Trans. Geosci. Remote. Sens., 2001)

Regularized estimation of mixed spectra using a circular Gibbs-Markov model. - Philippe Ciuciu; Jérôme Idier; Jean-François Giovannelli (IEEE Trans. Signal Process., 2001)

Bayesian interpretation of periodograms. - Jean-François Giovannelli; Jérôme Idier (IEEE Trans. Signal Process., 2001)

Unsupervised frequency tracking beyond the Nyquist frequency using Markov chains. - Jean-François Giovannelli; Jérôme Idier; Redha Boubertakh; Alain Herment (IEEE Trans. Signal Process., 2002)

Non-quadratic convex regularized reconstruction of MR images from spiral acquisitions. - Redha Boubertakh; Jean-François Giovannelli; Alain De Cesare; Alain Herment (Signal Process., 2006)

An Improved Observation Model for Super-Resolution Under Affine Motion. - Gilles Rochefort; Frédéric Champagnat; Guy Le Besnerais; Jean-François Giovannelli (IEEE Trans. Image Process., 2006)

Contaminant source estimation in a two-layers porous environment using a Bayesian approach. - Aurélien Hazart; Jean-François Giovannelli; Stéphanie Dubost; Laurence Chatellier (IGARSS, 2007)

Data Inversion for Over-Resolved Spectral Imaging in Astronomy. - Thomas Rodet; François Orieux; Jean-François Giovannelli; Alain Abergel (IEEE J. Sel. Top. Signal Process., 2008)

Correction to "Data Inversion for Over-Resolved Spectral Imaging in Astronomy" [Oct 08 802-811]. - Thomas Rodet; François Orieux; Jean-François Giovannelli; Alain Abergel (IEEE J. Sel. Top. Signal Process., 2008)

Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function. - Jean-François Giovannelli (IEEE Trans. Image Process., 2008)

Super-resolution with continuous scan shift. - François Orieux; Thomas Rodet; Jean-François Giovannelli (ICIP, 2009)

Data inversion for hyperspectral objects in astronomy. - Thomas Rodet; François Orieux; Jean-François Giovannelli; Alain Abergel (WHISPERS, 2009)

Deconvolutionwith gaussian blur parameter and hyperparameters estimation. - François Orieux; Jean-François Giovannelli; Thomas Rodet (ICASSP, 2010)

Estimation of the Ising field parameter thanks to the exact partition function. - Jean-François Giovannelli (ICIP, 2010)

Instrument parameter estimation in bayesian convex deconvolution. - François Orieux; Thomas Rodet; Jean-François Giovannelli (ICIP, 2010)

Bayesian estimation of regularization and PSF parameters for Wiener-Hunt deconvolution. - François Orieux; Jean-François Giovannelli; Thomas Rodet (CoRR, 2010)

Image reconstruction in optical interferometry. - Éric Thiébaut; Jean-François Giovannelli (IEEE Signal Process. Mag., 2010)

Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance. - Cornelia Paula Vacar; Jean-François Giovannelli; Yannick Berthoumieu (ICASSP, 2011)

Ising field parameter estimation from incomplete and noisy data. - Jean-François Giovannelli (ICIP, 2011)

Over-resolution in map-making based on accurate instrument model and regularized inversion. Application to SPIRE/Herschel - François Orieux; Jean-François Giovannelli; Thomas Rodet; Alain Abergel; Hacheme Ayasso; M. Husson (CoRR, 2011)

Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case - François Orieux; Olivier Féron; Jean-François Giovannelli (CoRR, 2011)

Robust MS serum sample classification in proteomics by the use of inverse problems. - Pascal Szacherski; Jean-François Giovannelli; Laurent Gerfault; Audrey Giremus; Pierre Grangeat (GENSiPS, 2012)

Estimating hyperparameters and instrument parameters in regularized inversion. Illustration for SPIRE/Herschel map making - François Orieux; Jean-François Giovannelli; Thomas Rodet; Alain Abergel (CoRR, 2012)

Sampling High-Dimensional Gaussian Distributions for General Linear Inverse Problems. - François Orieux; Olivier Féron; Jean-François Giovannelli (IEEE Signal Process. Lett., 2012)

Variable selection for a mixed population applied in proteomics. - F. Adjed; Jean-François Giovannelli; Audrey Giremus; Noura Dridi; Pascal Szacherski (ICASSP, 2013)

Variable selection for noisy data applied in proteomics. - Noura Dridi; Audrey Giremus; Jean-François Giovannelli; Caroline Truntzer; Pascal Roy; L. Gerfaut; Jean-Philippe Charrier; Patrick Ducoroy; Catherine Mercier; Pierre Grangeat (ICASSP, 2014)

Bayesian noise model selection and system identification based on approximation of the evidence. - Jean-François Giovannelli; Audrey Giremus (SSP, 2014)

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem. - Pascal Szacherski; Jean-François Giovannelli; Laurent Gerfault; Pierre Mahé; Jean-Philippe Charrier; Audrey Giremus; Bruno Lacroix; Pierre Grangeat (IEEE Access, 2014)

Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC. - Aurélien Hazart; Jean-François Giovannelli; Stéphanie Dubost; Laurence Chatellier (Signal Process., 2014)

Erratum to "Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC" [Signal Processing 96 (2014) 346-361]. - Aurélien Hazart; Jean-François Giovannelli; Stéphanie Dubost; Laurence Chatellier (Signal Process., 2014)

Bayesian Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC. - Cornelia Paula Vacar; Jean-François Giovannelli; Yannick Berthoumieu (IEEE Signal Process. Lett., 2014)

Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems. - François Orieux; Olivier Féron; Jean-François Giovannelli (ICASSP, 2015)

Potts model parameter estimation in Bayesian segmentation of piecewise constant images. - Roxana-Gabriela Rosu; Jean-François Giovannelli; Audrey Giremus; Cornelia Paula Vacar (ICASSP, 2015)

Fast 3D Synthetic Aperture Radar Imaging from Polarization-Diverse Measurements. - Pierre Minvielle; Pierre Massaloux; Jean-François Giovannelli (CoRR, 2015)

Unsupervised segmentation of piecewise constant images from incomplete, distorted and noisy data. - Jean-François Giovannelli; Andrei Barbos (SSP, 2016)

Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. - Jessica Sodjo; Audrey Giremus; François Caron; Jean-François Giovannelli; Nicolas Dobigeon (SSP, 2016)

Gradient Scan Gibbs Sampler: An Efficient Algorithm for High-Dimensional Gaussian Distributions. - Olivier Féron; François Orieux; Jean-François Giovannelli (IEEE J. Sel. Top. Signal Process., 2016)

Bayesian Texture Classification From Indirect Observations Using Fast Sampling. - Cornelia Paula Vacar; Jean-François Giovannelli; Yannick Berthoumieu (IEEE Trans. Signal Process., 2016)

Deconvolution-segmentation for textured images. - Jean-François Giovannelli; Cornelia Paula Vacar (EUSIPCO, 2017)

A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images. - Jessica Sodjo; Audrey Giremus; Nicolas Dobigeon; Jean-François Giovannelli (ICASSP, 2017)

Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. - Andrei-Cristian Barbos; Francois Caron; Jean-François Giovannelli; Arnaud Doucet (NIPS, 2017)

Bayesian inference for biomarker discovery in proteomics: an analytic solution. - Noura Dridi; Audrey Giremus; Jean-François Giovannelli; Caroline Truntzer; Melita Hadzagic; Jean-Philippe Charrier; Laurent Gerfault; Patrick Ducoroy; Bruno Lacroix; Pierre Grangeat; Pascal Roy (EURASIP J. Bioinform. Syst. Biol., 2017)

Indoor 3-D Radar Imaging for Low-RCS Analysis. - Pierre Minvielle; Pierre Massaloux; Jean-François Giovannelli (IEEE Trans. Aerosp. Electron. Syst., 2017)

A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers. - Boujemaa Ait-El-Fquih; Jean-François Giovannelli; Nicolas Paul; Alexandre Girard; Ibrahim Hoteit (SSP, 2018)

Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry. - Amna Klich; Catherine Mercier; Laurent Gerfault; Pierre Grangeat; Corinne Beaulieu; Elodie Degout-Charmette; Tanguy Fortin; Pierre Mahé; Jean-François Giovannelli; Jean-Philippe Charrier; Audrey Giremus; Delphine Maucort-Boulch; et al. (BMC Bioinform., 2018)

Linear MALDI-ToF simultaneous spectrum deconvolution and baseline removal. - Vincent Picaud; Jean-François Giovannelli; Caroline Truntzer; Jean-Philippe Charrier; Audrey Giremus; Pierre Grangeat; Catherine Mercier (BMC Bioinform., 2018)

Unsupervised joint deconvolution and segmentation method for textured images: a Bayesian approach and an advanced sampling algorithm. - Cornelia Paula Vacar; Jean-François Giovannelli (EURASIP J. Adv. Signal Process., 2019)

Parametric Bayesian estimation of point-like pollution sources of groundwater layers. - Boujemaa Ait-El-Fquih; Jean-François Giovannelli; Nicolas Paul; Alexandre Girard; Ibrahim Hoteit (Signal Process., 2020)

An Insight Into the Gibbs Sampler: Keep the Samples or Drop Them? - Julien Boissy; Jean-François Giovannelli; Pierre Minvielle (IEEE Signal Process. Lett., 2020)

SPRITE: 3-D SParse Radar Imaging TEchnique. - Thomas Benoudiba-Campanini; Jean-François Giovannelli; Pierre Minvielle (IEEE Trans. Computational Imaging, 2020)

Bayesian Model Selection for Unsupervised Image Deconvolution with Structured Gaussian Priors. - Benjamin Harroué; Jean-François Giovannelli; Marcelo Pereyra (SSP, 2021)

Fast Bayesian Model Selection in Imaging Inverse Problems Using Residuals. - Ana Fernandez Vidal; Marcelo Pereyra; Alain Durmus; Jean-François Giovannelli (SSP, 2021)

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods. - Pakshal Bohra; Pol del Aguila Pla; Jean-François Giovannelli; Michael Unser (IEEE Trans. Signal Process., 2023)

Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior. - Charlesquin Kemajou Mbakam; Jean-François Giovannelli; Marcelo Pereyra (CoRR, 2024)

Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach. - Charlesquin Kemajou Mbakam; Marcelo Pereyra; Jean-François Giovannelli (SIAM J. Imaging Sci., 2024)

Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT. - Liam Moroy; Guillaume Bourmaud; Frédéric Champagnat; Jean-François Giovannelli (ICASSP, 2025)

A Probabilistic Model for Image Processing with Positivity Constraint and Spectral Density Control. - Pierre Minier; Jean-François Giovannelli; François Orieux (SSP, 2025)