Andrea Sebastiani

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Weighted Total Variation Boosted by Learning Techniques in Few-View Tomographic Imaging.
J. Sci. Comput.
Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini
2025 J jnl
Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging.
CoRR
Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini
2025 J jnl
RELD: Regularization by Latent Diffusion Models for Image Restoration.
CoRR
Pasquale Cascarano, Lorenzo Stacchio, Andrea Sebastiani, Alessandro Benfenati, Ulugbek S. Kamilov, Gustavo Marfia
2025 J jnl
Revisiting ΨDONet: microlocally inspired filters for incomplete-data tomographic reconstructions.
CoRR
Tatiana A. Bubba, Luca Ratti, Andrea Sebastiani
2025 J jnl
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction.
CoRR
Tatiana A. Bubba, Matteo Santacesaria, Andrea Sebastiani
2025 — conf
TomoSelfDEQ: Self-supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction.
SSVM (1)
Tatiana A. Bubba, Matteo Santacesaria, Andrea Sebastiani
2024 J jnl
A variable metric proximal stochastic gradient method: An application to classification problems.
EURO J. Comput. Optim.
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
2024 J jnl
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging.
CoRR
Elena Morotti, Davide Evangelista, Andrea Sebastiani, Elena Loli Piccolomini
2023 J jnl
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution.
CoRR
Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi, Serena Crisci, Thomas Pock, Monica Pragliola, Siiri Rautio, Danilo Riccio, Andrea Sebastiani
2023 J jnl
CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction.
Algorithms
Elena Loli Piccolomini, Marco Prato, Margherita Scipione, Andrea Sebastiani
2023 J jnl
Constrained and unconstrained deep image prior optimization models with automatic regularization.
Comput. Optim. Appl.
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
2022 J jnl
DeepCEL0 for 2D single-molecule localization in fluorescence microscopy.
Bioinform.
Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli
2022 J jnl
Plug-and-Play gradient-based denoisers applied to CT image enhancement.
Appl. Math. Comput.
Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani
2021 — conf
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.
ICCSA (Workshops)
Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta
2021 J jnl
DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy.
CoRR
Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli
2021 J jnl
Plug-and-Play external and internal priors for image restoration.
CoRR
Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani
2020 J jnl
ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration.
CoRR
Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes