Publications

  • Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato. Algorithmic unfolding for image reconstruction and localization problems in single-molecule fluorescence microscopy. IMA Journal of Applied Mathematics, 2026; hxaf025, https://doi.org/10.1093/imamat/hxaf025. 

  • A. Benfenati, A. Catozzi, G. Franchini, F. Porta, Unsupervised noisy image segmentation using Deep Image Prior, Mathematics and Computers in Simulation, Volume 239, 2026, https://doi.org/10.1016/j.matcom.2025.07.052.

  • A. Benfenati, Plug and Play Splitting Techniques for Poisson Image Restoration. J Math Imaging Vis 67, 59 (2025). https://doi.org/10.1007/s10851-025-01273-7. Link

  • A. Benfenati, P. Causin, M. Quinteri, (2025). A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction. Numerical Functional Analysis and Optimization, 46(10–12), 743–775. https://doi.org/10.1080/01630563.2025.2523483. Link

  • A. Serianni, A. Benfenati, P. Causin, Learnable Priors Support Reconstruction in Diffuse Optical Tomography. Photonics 2025, 12, 746. https://doi.org/10.3390/photonics12080746. Link

  • A. Aspri, A. Benfenati, P. Causin, C. Cavaterra, G. Naldi. Mathematical and numerical challenges in diffuse optical tomography inverse problems. Discrete and Continuous Dynamical Systems – S, 2024, 17(1): 421-461. doi: 10.3934/dcdss.2023210. Link

  • A. Benfenati, A. Catozzi, G. Franchini, F. Porta, Early stopping strategies in Deep Image Prior. Soft Comput 29, 4153–4174 (2025). https://doi.org/10.1007/s00500-025-10642-8. Link.

  • A. Benfenati, P. Cascarano, Constrained Plug-and-Play Priors for Image Restoration. J. Imaging 2024, 10, 50. https://doi.org/10.3390/jimaging10020050. Link.

  • S. Bonettini, G. Franchini, D. Pezzi, M. Prato 2025, Linesearch-enhanced forward-backward methods for inexact nonconvex scenarios. SIAM Journal on Imaging Sciences 18(2), 1314-1343. Link

  • D. Evangelista, E. Loli Piccolomini, E. Morotti J. G. Nagy (2025). To be or not to be stable, that is the question: understanding neural networks for inverse problems. SIAM Journal on Scientific Computing, 47(1), C77-C99. Link.

  • S. Bonettini, G. Franchini, D. Pezzi, M. Prato, Linesearch-enhanced forward-backward methods for inexact nonconvex scenarios. SIAM Journal on Imaging Sciences, in press.

  • S. Aleotti, S. Bonettini, M. Donatelli, M. Prato, S. Rebegoldi 2025, A nested primal-dual iterated Tikhonov method for regularized convex optimization. Computational Optimization and Applications 91, 357-395. Link

  • S. Bonettini, M. Prato, S. Rebegoldi 2024, A new proximal heavy-ball inexact line-search algorithm. Computational Optimization and Applications 88, 525-565. Link.