Source separation in cosmology, from global to local models. - Jérôme Bobin; Florent Sureau; Jean-Luc Starck (ICIP, 2011)

Dictionary Learning for Photometric Redshift Estimation. - Joana Frontera-Pons; Florent Sureau; Bruno Moraes; Jérôme Bobin; Filipe B. Abdalla; Jean-Luc Starck (EUSIPCO, 2018)

Use of PALM for ℓ1 sparse matrix factorization: Difficulty and rationalization of a two-step approach. - Christophe Kervazo; Jérôme Bobin; Cécile Chenot; Florent Sureau (Digit. Signal Process., 2020)

A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. - Claire Rossignol; Florent Sureau; Emilie Chouzenoux; Claude Comtat; Jean-Christophe Pesquet (ICIP, 2022)

Convergent ADMM Plug and Play PET Image Reconstruction. - Florent Sureau; Mahdi Latreche; Marion Savanier; Claude Comtat (CoRR, 2023)

Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation. - Joana Frontera-Pons; Florent Sureau; Jérôme Bobin; Martin Kilbinger (Astron. Comput., 2023)

Synergistic PET/MR Reconstruction with VAE Constraint. - Valentin Gautier; Claude Comtat; Florent Sureau; Alexandre Bousse; Voichita Maxim; Bruno Sixou (EUSIPCO, 2024)

On The Local Geometry of the Pet Reconstruction Problem. - Ramy Merabet; Florent Sureau; Alain Trouvé (ISBI, 2024)

Learning with Fixed Point Condition for Convergent PNP PET Reconstruction. - Marion Savanier; Claude Comtat; Florent Sureau (ISBI, 2024)