Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. - Barbara Pascal; Nelly Pustelnik; Patrice Abry; Jean-Christophe Pesquet (ICASSP, 2018)

Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization. - Barbara Pascal; Nelly Pustelnik; Patrice Abry; Marion Serres; Valérie Vidal (ICIP, 2018)

Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies. - Barbara Pascal; Vincent Mauduit; Nelly Pustelnik; Patrice Abry (EUSIPCO, 2020)

Parameter-free and fast nonlinear piecewise filtering: application to experimental physics. - Barbara Pascal; Nelly Pustelnik; Patrice Abry; Jean-Christophe Géminard; Valérie Vidal (Ann. des Télécommunications, 2020)

Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation. - Barbara Pascal; Samuel Vaiter; Nelly Pustelnik; Patrice Abry (J. Math. Imaging Vis., 2021)

Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. - Patrice Abry; Gersende Fort; Barbara Pascal; Nelly Pustelnik (EMBC, 2022)

Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. - Hugo Artigas; Barbara Pascal; Gersende Fort; Patrice Abry; Nelly Pustelnik (EUSIPCO, 2022)

Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. - Barbara Pascal; Patrice Abry; Nelly Pustelnik; Stéphane G. Roux; Rémi Gribonval; Patrick Flandrin (IEEE Trans. Signal Process., 2022)

A Covariant, Discrete Time-Frequency Representation Tailored for Zero-Based Signal Detection. - Barbara Pascal; Rémi Bardenet (IEEE Trans. Signal Process., 2022)

Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms. - Patrice Abry; Juliette Chevallier; Gersende Fort; Barbara Pascal (CAMSAP, 2023)

Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. - Patrice Abry; Gersende Fort; Barbara Pascal; Nelly Pustelnik (EUSIPCO, 2023)

Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. - Gersende Fort; Barbara Pascal; Patrice Abry; Nelly Pustelnik (IEEE Trans. Signal Process., 2023)

Hyperparameter selection for Discrete Mumford-Shah. - Charles-Gérard Lucas; Barbara Pascal; Nelly Pustelnik; Patrice Abry (Signal Image Video Process., 2023)

Synthetic Spatiotemporal Covid19 Infection Counts to Assess Graph-Regularized Estimation of Multivariate Reproduction Numbers. - Juliana Du; Barbara Pascal; Patrice Abry (EUSIPCO, 2024)

On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches. - Barbara Pascal; Mathieu Lagrange (EUSIPCO, 2024)

Point Processes and spatial statistics in time-frequency analysis. - Barbara Pascal; Rémi Bardenet (CoRR, 2024)

Hierarchical Bayesian Estimation of COVID-19 Reproduction Number. - Patrice Abry; Juliette Chevallier; Gersende Fort; Barbara Pascal (ICASSP, 2025)

Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems. - Bernardin Tamo Amougou; Marcelo Pereyra; Barbara Pascal (SSP, 2025)

Detectability of patches in fractal textures for assessing Hölder exponent-based breast cancer risk evaluation. - Barbara Pascal; Hermine Biermé (SSP, 2025)