From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm. - Marco Prato; Stefania Favilla; Patrizia Baraldi; Carlo A. Porro; Luca Zanni (EUSIPCO, 2009)

A Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy. - Marco Prato; Michele Piana; A. Gordon Emslie; G. J. Hurford; Eduard P. Kontar; Anna Maria Massone (SIAM J. Imaging Sci., 2009)

A regularization algorithm for decoding perceptual temporal profiles from fMRI data. - Marco Prato; Stefania Favilla; Luca Zanni; Carlo A. Porro; Patrizia Baraldi (NeuroImage, 2011)

A practical use of regularization for supervised learning with kernel methods. - Marco Prato; Luca Zanni (Pattern Recognit. Lett., 2013)

A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy. - Silvia Bonettini; Anastasia Cornelio; Marco Prato (SIAM J. Imaging Sci., 2013)

Application of cyclic block generalized gradient projection methods to poisson blind deconvolution. - Simone Rebegoldi; Silvia Bonettini; Marco Prato (EUSIPCO, 2015)

A convergent least-squares regularized blind deconvolution approach. - Anastasia Cornelio; Federica Porta; Marco Prato (Appl. Math. Comput., 2015)

A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. - Federica Porta; Marco Prato; Luca Zanni (J. Sci. Comput., 2015)

A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems. - Silvia Bonettini; Alessandro Chiuso; Marco Prato (SIAM J. Sci. Comput., 2015)

Phase estimation in differential-interference-contrast (DIC) microscopy. - Lola Bautista; Simone Rebegoldi; Laure Blanc-Féraud; Marco Prato; Luca Zanni; Arturo Plata (ISBI, 2016)

A cyclic block coordinate descent method with generalized gradient projections. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Appl. Math. Comput., 2016)

Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization. - Silvia Bonettini; Ignace Loris; Federica Porta; Marco Prato (SIAM J. Optim., 2016)

A block coordinate variable metric linesearch based proximal gradient method. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2018)

Deep Unfolding of a Proximal Interior Point Method for Image Restoration. - Carla Bertocchi; Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Marco Prato (CoRR, 2018)

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. - Marie-Caroline Corbineau; Carla Bertocchi; Emilie Chouzenoux; Marco Prato; Jean-Christophe Pesquet (ICIP, 2019)

Efficient Block Coordinate Methods for Blind Cauchy Denoising. - Simone Rebegoldi; Silvia Bonettini; Marco Prato (NUMTA(1), 2019)

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. - Mathilde Galinier; Marco Prato; Emilie Chouzenoux; Jean-Christophe Pesquet (MLSP, 2020)

Convergence of Inexact Forward-Backward Algorithms Using the Forward-Backward Envelope. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (SIAM J. Optim., 2020)

A comparison of nested primal-dual forward-backward methods for Poisson image deblurring. - Simone Rebegoldi; Silvia Bonettini; Marco Prato (ICCSA (Workshops), 2021)

New convergence results for the inexact variable metric forward-backward method. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Appl. Math. Comput., 2021)

Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. - Tatiana A. Bubba; Mathilde Galinier; Matti Lassas; Marco Prato; Luca Ratti; Samuli Siltanen (SIAM J. Imaging Sci., 2021)

Learning the Image Prior by Unrolling an Optimization Method. - Silvia Bonettini; Giorgia Franchini; Danilo Pezzi; Marco Prato (EUSIPCO, 2022)

A fingerprint of a heterogeneous data set. - Matteo Spallanzani; Gueorgui Mihaylov; Marco Prato; Roberto Fontana (Adv. Data Anal. Classif., 2022)

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. - Giorgia Franchini; Micaela Verucchi; Ambra Catozzi; Federica Porta; Marco Prato (Algorithms, 2022)

Explainable bilevel optimization: an application to the Helsinki deblur challenge. - Silvia Bonettini; Giorgia Franchini; Danilo Pezzi; Marco Prato (CoRR, 2022)

Deep Image Prior for medical image denoising, a study about parameter initialization. - Davide Sapienza; Giorgia Franchini; Elena Govi; Marko Bertogna; Marco Prato (Frontiers Appl. Math. Stat., 2022)

Denoising Diffusion Models on Model-Based Latent Space. - Carmelo Scribano; Danilo Pezzi; Giorgia Franchini; Marco Prato (Algorithms, 2023)

A nested primal-dual FISTA-like scheme for composite convex optimization problems. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2023)

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. - Carmelo Scribano; Giorgia Franchini; Marco Prato; Marko Bertogna (J. Sci. Comput., 2023)

An abstract convergence framework with application to inertial inexact forward-backward methods. - Silvia Bonettini; Peter Ochs; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 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)

Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy. - Silvia Bonettini; Luca Calatroni; Danilo Pezzi; Marco Prato (CoRR, 2024)

A new proximal heavy ball inexact line-search algorithm. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2024)

Guest Editorial JMIV Special Issue SSVM'23. - Luca Calatroni; Marco Donatelli; Serena Morigi; Marco Prato; Matteo Santacesaria (J. Math. Imaging Vis., 2024)

Computing p th root of a transition matrix with a deep unsupervised learning approach. - Filippo Camellini; Giorgia Franchini; Marco Prato (Int. J. Comput. Math., 2025)

Linesearch-Enhanced Forward-Backward Methods for Inexact Nonconvex Scenarios. - Silvia Bonettini; Giorgia Franchini; Danilo Pezzi; Marco Prato (SIAM J. Imaging Sci., 2025)

A nested primal-dual iterated Tikhonov method for regularized convex optimization. - Stefano Aleotti; Silvia Bonettini; Marco Donatelli; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2025)