A novel Split Bregman algorithm for MRI denoising task in an e-Health system. - Salvatore Cuomo; Rosanna Campagna; Pasquale De Michele; Aniello Murano; Serena Crisci; Ardelio Galletti; Livia Marcellino (PETRA, 2016)

Modification of TV-ROF denoising model based on Split Bregman iterations. - Rosanna Campagna; Serena Crisci; Salvatore Cuomo; Livia Marcellino; Gerardo Toraldo (Appl. Math. Comput., 2017)

A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (NUMTA(1), 2019)

Steplength selection in gradient projection methods for box-constrained quadratic programs. - Serena Crisci; Valeria Ruggiero; Luca Zanni (Appl. Math. Comput., 2019)

Computational approaches for parametric imaging of dynamic PET data. - Serena Crisci; Michele Piana; Valeria Ruggiero; Mara Scussolini (CoRR, 2019)

Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (SIAM J. Optim., 2020)

Comparison of active-set and gradient projection-based algorithms for box-constrained quadratic programming. - Serena Crisci; Jakub Kruzík; Marek Pecha; David Horák (Soft Comput., 2020)

Traffic Flow Modelling When Autonomous Vehicles Coexist with Human Driven Vehicles: Perspectives and Challenges. - Giacomo Cabri; Serena Crisci; Manuela Montangero (IDC, 2021)

A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data. - Serena Crisci; Michele Piana; Valeria Ruggiero; Mara Scussolini (SIAM J. Imaging Sci., 2021)

Hybrid limited memory gradient projection methods for box-constrained optimization problems. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (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)

On the Adaptive Penalty Parameter Selection in ADMM. - Serena Crisci; Valentina De Simone; Marco Viola (Algorithms, 2023)

Barzilai-Borwein-like rules in proximal gradient schemes for ℓ 1 -regularized problems. - Serena Crisci; Simone Rebegoldi; Gerardo Toraldo; Marco Viola (Optim. Methods Softw., 2024)

Neural network for archaeological glyph detection. - Serena Crisci; Valentina De Simone; Andrea Diana; Ferdinando Zullo (Intell. Syst. Appl., 2025)

Bilevel robust optimization approach for multi-period sparse portfolio selection. - Serena Crisci; Valentina De Simone; Monica Pragliola; Gerardo Toraldo (J. Comput. Appl. Math., 2025)

An algorithm for a constrained P-spline. - Rosanna Campagna; Serena Crisci; Gabriele Santin; Gerardo Toraldo; Marco Viola (CoRR, 2025)