A. Azzarelli and A. Buccini. Fractional laplacian for petroglyphs extraction. Submitted, 2025.
S. Berra, V. Brembati, Plasma extracellular vesicles and phosphorylated Tau 181 as early biomarkers of cognitive impairment in Alzheimer’s disease. Alzheimer's Research & Therapy. Submitted, 2025.
A. Buccini, M. Donatelli, M. Ratto, and L. Reichel. An iterated ℓ 2 − ℓ q regularization method. Submitted, 2025.
A. Buccini, M. Donatelli, M. Ratto, and L. Reichel. An minimization method using preconditioned generalized krylov subspaces with generalized cross validation. Submitted, 2025.
A. Buccini, M. Donatelli, M. Ratto, and L. Reichel. A preconditioned majorization-minimization method for minimization. Submitted.
A. Azzarelli, A. Buccini, A. El Hacimi, and L. Reichel. Low-rank and sparse splitting for glyph extraction. Submitted.
A. Buccini, S. Gazzola, L. Onisk, M. Pasha, and L. Reichel. Projected iterated Tikhonov in general form with adaptive choice of the regularization parameter. Submitted, 2025.
P. Diaz de Alba, L. Fermo, and G. Rodriguez. AGquad: a Matlab package for 1D and 2D anti-Gauss type rules. Submitted, 2025.
L. Fermo and V. Loi. Approximation of the Hilbert transform on the unit circle. Submitted, 2025. arXiv preprint.
L. Fermo and D. Occorsio. Anti-Gauss Laguerre polynomials: some properties and a new interpolation process. Submitted, 2025.
F. Pes and G. Rodriguez. The MNGNreg toolbox for the regularized solution of nonlinear least-squares problems. Submitted, 2025.
P. Díaz de Alba, C. Estatico, I. Furci, M. Lazzaretti, and F. Pes. Subsurface inspection of 2D domains via a rectangular BTHB-Landweber method in Banach spaces. Submitted, 2025.
Aleotti, S., Binda, C., Donatelli, M., Krause, R., Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring, in preparation
Donatelli, M., Maurino, P., A Smoothing Aggregation Cascadic Multilevel method for image deblurring, in preparation
S. Aleotti, D. Bianchi, F. Bossmann, M. Donatelli, P. Maurino, Iterated Graph Laplacian regularization strategies for image restoration, in progress
S. Aleotti, D. Bianchi, F. Bossmann, M. Donatelli, P. Maurino, Iterated Graph Laplacian regularization strategies for image restoration, in progress
S. Aleotti, M. Donatelli, Approximation strategies for Preconditioning Techniques in a Nested Primal–Dual Framework, in preparation
Razzetta C, Garbarino S, Piana M, Crocco M and Benvenuto F 2026 tiDAS: a time invariant approximation of the Delay and Sum algorithm for biomedical ultrasound PSF reconstructions Advances in Computational Science and Engineering (in press)
Cama I, Guzman A, Campi C, Piana M, Lekadir K, Garbarino S and Diaz O 2025 Segmentation variability and radiomics stability for predicting triple-negative breast cancer subtype using magnetic resonance imaging Journal of Medical Imaging DOI: 10.1117/1.JMI.12.5.054501
Shahzad A, Piana M, Pardini M and Garbarino S 2025 Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances Frontiers in Neuroscience DOI: 10.3389/fnins.2025.1623141
Parodi D, Benvenuto F, Garbarino S and Piana M 2025 Solving implicit inverse problems with homotopy-based regularization paths Advances in Computational Science and Engineering DOI: 10.3934/acse.2025020
Catalano M, Volpara A, Massa P, Piana M and Massone A M 2026 CLEAN and multi-scale CLEAN for STIX in solar orbiter Astronomy and Astrophysics 706 A360
Volpara A, Massa P, Piana M, Massone A M and Emslie A G 2025 Solar flares as electron accelerators: toward a resolution of the acceleration efficiency issue Astrophysical Journal 990 101 (OA)
Volpara A, Lupoli A, Filbir F, Perracchione E, Massone A M and Piana M 2025 RIS: Regularized imaging spectroscopy for STIX on board Solar Orbiter Astronomy and Astrophysics 694 a247 (OA)
Parodi D, Dighero E, Biddau G, D’Amico F, Bauckneht M, Marini C, Garbarino S, Campi C, Piana M and Sambuceti G 2024 Localized FDG losses in lung cancer lesions EJNMMI Research 14 102 (OA)
Estatico C, Schenone V, Fedeli A and Randazzo A 2024 Application of a mild data-driven technique to Lippmann–Schwinger inverse scattering in variable-exponent Lebesgue spaces for microwave imaging Inverse Problems 40 065007 (OA)
De Alba P D, Estatico C, Lazzaretti M and Rodriguez G 2024 Linear FDEM subsoil data inversion in Banach spaces Electronic Transactions on Numerical Analysis 61, 173-195
L. Girometti, M. Huska, M., A. Lanza, S. Morigi, Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition. J Optim Theory Appl 202, 1286–1325 (2024). https://doi.org/10.1007/s10957-024-02479-2 2024 (OA).
D. Lazzaro, S. Morigi, P. Zuzolo, Learning intrinsic shape representations via spectral, mesh convolutions, Neurocomputing, Vol 598, 2024, pp.128152, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2024.128152 (OA).
Damiana Lazzaro, Serena Morigi, Luca Ratti, Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems, Journal of Scientific Computing (2024) 101:49, https://doi.org/10.1007/s10915-024-02689-w.
Alessandro Lanza, Antonio Leaci, Serena Morigi, Franco Tomarelli, Symmetrized fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme, Applied Mathematics and Computation, Volume 500, 2025, 129429, ISSN 0096-3003, https://doi.org/10.1016/j.amc.2025.129429. (OA)
Girometti, L., Lanza, A., Morigi, S. (2025). Fractional Derivative Variational Model for Additive Signal Decomposition. In: Bubba, T.A., Gaburro, R., Gazzola, S., Papafitsoros, K., Pereyra, M., Schönlieb, CB. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2025. Lecture Notes in Computer Science, vol 15668, pages 136--149. Springer, Cham, 2025. https://doi.org/10.1007/978-3-031-92369-2_11
D. Lazzaro, S. Morigi, P. Zuzolo, A physics-informed graph neural network for computing Laplace-Beltrami eigenfunctions on manifolds, IEEE Access, vol. 13, pp. 199647-199664, 2025, doi: 10.1109/ACCESS.2025.3636289. (OA)
Alessandro Lanza, Antonio Leaci, Serena Morigi, Franco Tomarelli, "High order Symmetrized Fractional Variational for Signal and Image Analysis", Journal of Convex Analysis, JOCA, will appear in Volume 33 (2026).
Li Yang, Serena Morigi, Michael Kwok-Po Ng, You-Wei Wen, "Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis" SIAM Journal on Scientific Computing. Manuscript #M174818, in press 2025,
Samuele Salti, Andrea Pinto, Alessandro Lanza, Serena Morigi, Additive decomposition of one-dimensional signals using Transformers, Pattern Recognition Letters, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2025.11.002, Volume 199, 2026, pp. 239-245. (OA)
G.S. Alberti, D. Lazzaro, S. Morigi, L. Ratti, and M. Santacesaria, Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography, 2025. https://arxiv.org/pdf/2507.16678
F. Bevilacqua, A. Lanza, M. Pragliola, F. Sgallari, A general framework for whiteness-based parameters selection in variational models, Computational Optimization and Applications, vol. 91(2), pp. 457–489, 2025 (DOI: 10.1007/s10589-024-00615-2, Scopus Code: 2-s2.0-85207024383).
M. Pragliola, L. Calatroni, A. Lanza, Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising, Proceedings of the 10th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2025), vol. 15667 LNCS, pp. 159-172, 2025 (DOI: 10.1007/978-3-031-92366-1_13, Scopus Code: 2-s2.0-105006645848).
Azzarelli, C. Brezinski, C. Fenu, M. Redivo-Zaglia, and G. Rodriguez. Parameter choice rules for discrete ill-posed problems based on extrapolation methods. J. Sci. Comput., 103:9 (22 pages), 2025. (OA)
A. Azzarelli and A. Buccini. A variational model for glyph extraction, theoretical aspects and implementation. Electron. Trans. Numer. Anal., Accepted, 2025.
A. Buccini, F. Chen, M. Pasha, and L. Reichel. Krylov subspace based FISTA-type methods for linear discrete ill-posed problems. Numer. Linear Algebra Appl., 32:e2610 (15 pages), 2025. (OA)
A. Buccini and E. Crabu. A tool for the construction of synthetic petroglyphs. In Computational Science and Its Applications – ICCSA 2025 Workshops, pages 417–429. Springer Nature Switzerland, 2026.
A. Buccini, P. Dı́az de Alba, and F. Pes. An Alternating Direction Multiplier Method for the inversion of FDEM data. J. Sci. Comput., 101:14, 2024. (OA)
A. Buccini, M. Donatelli, L. Onisk, and L. Reichel. Flexible iterative methods for linear systems of equations with multiple right-hand sides. Numer. Algorithms, 100:1477–1505, 2025. (OA)
A. Buccini, M. Donatelli, and M. Ratto. Multigrid methods for computed tomography. Symmetry, 13:470 (16 pages), 2025. (OA)
E. Crabu, C. Fenu, G. Rodriguez, and G. Tanda. Dating archaeological sites by seriation. J. Cult. Herit., 72:42–47, 2025. (OA)
E. Crabu, F. Pes, and G. Rodriguez. Numerical methods for decorrelation stretch. Mathematics, 13:3297 (16 pages), 2025. (OA)
E. Crabu, F. Pes, G. Rodriguez, and G. Tanda. Color reconstruction by photometric stereo with unknown lighting of rock art carvings found in two sardinian Domus de Janas. J. Cult. Herit., 71:320–327, 2025.
E. Crabu and G. Rodriguez. On generating synthetic datasets for photometric stereo applications. Computers, 14:166 (16 pages), 2025. (OA)
P. Dı́az de Alba, C. Estatico, M. Lazzaretti, and G. Rodriguez. Linear FDEM subsoil data inversion in Banach spaces. Electron. Trans. Numer. Anal., 61:173–195, 2024.
P. Dı́az de Alba, L. Fermo, and G. Rodriguez. : a Matlab package for 1D and 2D anti-Gauss type rules. J. Approx. Softw., 2:2 (17 pages), 2025.
P. Dı́az de Alba, L. Fermo, and G. Rodriguez. Anti-Gauss cubature rules with applications to Fredholm integral equations on the square. SIAM J. Sci. Comput., 47(2):A689–A712, 2025.
P. Díaz de Alba and F. Pes. A two-dimensional integral model of the first-kind for LIN electromagnetic data inversion. Electron. Trans. Numer. Anal., 61:105–120, 2024.
L. Dykes, M. Kuian, T. Mach, S. Noschese, and L. Reichel. Solution of linear ill-posed operator equations by modified truncated singular value expansion. J. Comput. Appl. Math., 467:116621, 2025. (OA)
L. Fermo and V. Loi. Approximation of the Hilbert transform on the unit circle. J. Sci. Comput., 105:23 (20 pages), 2025.
L. Fermo, D. Mezzanotte, and D. Occorsio. A global method for solving second-kind Volterra-Fredholm integral equations. BIT Numer. Math., 65(18):18 (28 pages), 2025. (OA)
L. Fermo and D. Occorsio. Anti-Gauss Laguerre polynomials: some properties and a new interpolation process. J. Comput. Appl. Math., 475:117034 (18 pages), 2026. (OA)
J. Kane, L. Onisk, L. Reichel, and G. Rodriguez. Approximating matrix functions by randomized block Krylov methods. Submitted, 2026.
S. Noschese and L. Reichel. Communication in multiplex transportation networks. Numer. Algorithms, 100:1439–1458, 2025. (OA)
S. Noschese and L. Reichel. Edge importance in complex networks. Numer. Algorithms, 99:377–410, 2025. (OA)
S. Noschese and L. Reichel. Sensitivity of Perron and Fiedler eigenpairs to structural perturbations of a network. Numer. Linear Algebr. Appl., 32:e7004, 2025. (OA)
S. Noschese and L. Reichel. Network connectivity analysis via shortest paths. Numer. Algorithms, To appear., 2026.
F. Pes and G. Rodriguez. The MNGNreg toolbox for the regularized solution of nonlinear least-squares problems. J. Approx. Softw., 2:3 (20 pages), 2025.
C. Santambrogio, M. Pragliola, A. Lanza, M. Donatelli, L. Calatroni, Whiteness-based Bilevel Learning of Regularization Parameters in Imaging, Proceedings of the 32nd European Signal Processing Conference (EUSIPCO 2024), pp. 1801-1805, 2024 (DOI: 10.23919/eusipco63174.2024.10715121, Scopus Code: 2-s2.0-85208424343).
S. Aleotti, S. Bonettini, M. Donatelli, M. Prato, S. Rebegoldi, A., Nested Primal–Dual Iterated Tikhonov Method for Regularized Convex Optimization, Comput. Optim. Appl. 91, 357–395 (2025) (OA)
S. Aleotti, M. Donatelli, R. Krause, G. Scarlato, A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring, J. Sci. Comput 103, 85 (2025) (OA)
Barakitis, N., Donatelli, M., Ferri, S., Loi V., Serra–Capizzano S., Sormani R., Blocking structures, approximation, and preconditioning, Numer. Algorithms (2025), 1-25
D. Bianchi, M. Donatelli, D. Furchì, L. Reichel, Convergence analysis and parameter estimation for the iterated Arnoldi-Tikhonov method, Numer. Math. 157, 749–779 (2025). (OA)
D. Bianchi, M. Donatelli, D. Furchì, L. Reichel, The iterated Golub-Kahan-Tikhonov method, BIT Numer. Math. (2026), 66-18.
A. Buccini, M. Donatelli, L. Onisk, and L. Reichel, Flexible iterative methods for linear systems of equations with multiple right-hand sides, Numer. Algorithms 100-4 (2025), 1477-1505.
D. Bianchi, D. Evangelista, S. Aleotti, M. Donatelli, E. Loli Piccolomini, and W. Li, A data-dependent regularization method based on the graph Laplacian. SIAM J. Sci. Comp. 47-2 (2025), C369-C398.
S. Aleotti, M. Donatelli, R. Krause, P. Maurino, A fractional GraphLa+Ψ approach to image reconstruction, Proceeding SSVM Springer Nature (2025) 83-95.
Ahmad, D., Donatelli, M., Mazza, M., Serra-Capizzano, S., and Trotti, K., A Note on the Convergence of Multigrid Methods for the Riesz–Space Equation and an Application to Image Deblurring, Mathematics, 12 (2024), 191 (OA)
Buccini, A., Donatelli, M., and Ratto, M., Multigrid methods for computed tomography. Symmetry, 17-3 (2025), 470 (OA)
Bolten, M., Donatelli, M., Ferrari, P., and Furci, I. Symbol-based aggregated multigrid method for block Toeplitz linear systems. SIAM J. Matrix Anal. Appl. (accepted), 2025.
D. Bianchi, D. Evangelista, S. Aleotti, M. Donatelli, E. Loli Piccolomini, and W. Li, A data-dependent regularization method based on the graph Laplacian. SIAM J. Sci. Comp. (accepted), 2025.
Bonettini S., Calatroni L., Pezzi D., Prato M., Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy, (2025) IMA Journal of Applied Mathematics, 90(5), 465--487 (OA)
Bonettini S., Franchini G. Pezzi D., Prato M., Linesearch-Enhanced Forward--Backward Methods for Inexact Nonconvex Scenarios, (2025) SIAM Journal on Imaging Science, 18(2), 1314--1343
Aleotti S., Bonettini S., Donatelli M., Prato M., Rebegoldi S., A nested primal--dual iterated Tikhonov method for regularized convex optimization, (2025) Computational Optimization and Applications, 91, 357--395 (OA)
Bonettini S., Prato M., Rebegoldi S., A new proximal heavy ball inexact line-search algorithm, (2024) Computational Optimization and Applications, 88 (2), pp. 525 - 565 (OA)
C. Estatico, V. Schenone, A. Fedeli, and A. Randazzo. A Mild Data-Driven Approach Based on a Lebesgue-Space Inversion Procedure for Microwave Imaging Applications. 2024 18th European Conference on Antennas and Propagation (EuCAP), 2024. Published version.
A. Fedeli, M. Maheswaran, V. Schenone, A. Sciarrone, I. Bisio, F. Lavagetto, M. Pastorino, A. Randazzo, and C. Estatico. A Multifrequency Inverse-Scattering Technique for Brain Stroke Microwave Diagnostics. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 502-506, 2023. Published version.
A. Fedeli, V. Schenone, C. Estatico, and A. Randazzo. Microwave Characterization of Brain Stroke Through a Mild Data-Driven Inversion Strategy. 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), pp. 725-729, 2024. Published version.
V. Schenone, C. Estatico, A. Fedeli and A. Randazzo. A microwave imaging reconstruction technique with mild-data-driven regularization in variable-exponent Lebesgue spaces. 2024 4th URSI Atlantic Radio Science Meeting (AT-RASC), 2024. Published version.
V. Schenone, A. Fedeli, C. Estatico, and A. Randazzo. Diagnosis of defective elements in steerable antenna arrays by means of a non-standard regularization approach. 2023 IEEE Conference on Antenna Measurements and Applications (CAMA 2023), pp. 235-238, 2023. Published version.
V. Schenone, A. Fedeli, C. Estatico, and A. Randazzo. Microwave imaging of partially known targets through a mild data-driven approach. 2024 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2024. Published version.
V. Schenone, A. Fedeli, C. Estatico, A. Sciarrone, I. Bisio, F. Lavagetto, and A. Randazzo. A Novel Lebesgue-Space Inversion Approach for Microwave Stroke Imaging. 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 107-11, 2024. Published version.