ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration. - Pasquale Cascarano; Andrea Sebastiani; Maria Colomba Comes (CoRR, 2020)

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. - Pasquale Cascarano; Andrea Sebastiani; Maria Colomba Comes; Giorgia Franchini; Federica Porta (ICCSA (Workshops), 2021)

Plug-and-Play external and internal priors for image restoration. - Pasquale Cascarano; Elena Loli Piccolomini; Elena Morotti; Andrea Sebastiani (CoRR, 2021)

Plug-and-Play gradient-based denoisers applied to CT image enhancement. - Pasquale Cascarano; Elena Loli Piccolomini; Elena Morotti; Andrea Sebastiani (Appl. Math. Comput., 2022)

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy. - Pasquale Cascarano; Maria Colomba Comes; Andrea Sebastiani; Arianna Mencattini; Elena Loli Piccolomini; Eugenio Martinelli (Bioinform., 2022)

Constrained and unconstrained deep image prior optimization models with automatic regularization. - Pasquale Cascarano; Giorgia Franchini; Erich Kobler; Federica Porta; Andrea Sebastiani (Comput. Optim. Appl., 2023)

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. - Tatiana A. Bubba; Luca Calatroni; Ambra Catozzi; Serena Crisci; Thomas Pock; Monica Pragliola; Siiri Rautio; Danilo Riccio; Andrea Sebastiani (CoRR, 2023)

CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction. - Elena Loli Piccolomini; Marco Prato; Margherita Scipione; Andrea Sebastiani (Algorithms, 2023)

Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging. - Elena Morotti; Davide Evangelista; Andrea Sebastiani; Elena Loli Piccolomini (CoRR, 2024)

A variable metric proximal stochastic gradient method: An application to classification problems. - Pasquale Cascarano; Giorgia Franchini; Erich Kobler; Federica Porta; Andrea Sebastiani (EURO J. Comput. Optim., 2024)

TomoSelfDEQ: Self-supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction. - Tatiana A. Bubba; Matteo Santacesaria; Andrea Sebastiani (SSVM (1), 2025)

Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging. - Elena Morotti; Davide Evangelista; Andrea Sebastiani; Elena Loli Piccolomini (CoRR, 2025)

Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions. - Tatiana A. Bubba; Luca Ratti; Andrea Sebastiani (CoRR, 2025)

RELD: Regularization by Latent Diffusion Models for Image Restoration. - Pasquale Cascarano; Lorenzo Stacchio; Andrea Sebastiani; Alessandro Benfenati; Ulugbek S. Kamilov; Gustavo Marfia (CoRR, 2025)