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Fabiana Zama

Professoressa associata confermata

Dipartimento di Matematica

Settore scientifico disciplinare: MATH-05/A Analisi numerica

Pubblicazioni

Bortolotti V.; Landi G.; Zama F., An Automatic Pixel-Wise Multi-Penalty Approach to Image Restoration, «JOURNAL OF IMAGING», 2023, 9, Article number: 249, pp. 1 - 15 [articolo]Open Access

Bilbao S.; Ducceschi M.; Zama F., Explicit exactly energy-conserving methods for Hamiltonian systems, «JOURNAL OF COMPUTATIONAL PHYSICS», 2023, 472, Article number: 111697, pp. 1 - 21 [articolo]Open Access

Landi G.; Zama F., A variational approach to Gibbs artifacts removal in MRI, «ANNALI DELL'UNIVERSITÀ DI FERRARA. SEZIONE 7: SCIENZE MATEMATICHE», 2022, 68, pp. 465 - 481 [articolo]Open Access

Fellet G.; Conte P.; Bortolotti V.; Zama F.; Landi G.; Chillura Martino D.F.; Ferro V.; Marchiol L.; Meo P.L., Changes in Physicochemical Properties of Biochar after Addition to Soil, «AGRICULTURE», 2022, 12, Article number: 320, pp. 320 - 340 [articolo]Open Access

Giovanni Vito Spinelli, Fabiana Zama, Germana Landi, Pellegrino Conte, Paolo Lo Meo, Leonardo Brizi, Claudia Testa, Anastasiia Nagmutdinova, Villiam Bortolotti, Inversion method for the analysis of NMRD profiles by means of the software tools ModelFreeFFC and MFMUPenFFC, in: Italian - French International Conference on Magnetic Resonance, jointly organized by GERM and GIDRM, 2022(atti di: Italian - French International Conference on Magnetic Resonance, jointly organized by GERM and GIDRM, Milano, 27-30 September 2022) [atti di convegno-poster]

Fabiana Zama, Germana Landi, Giovanni Vito Spinelli, Pellegrino Conte, Paolo Lo Meo, Leonardo Brizi, Claudia Testa, Anastasiia Nagmutdinova, Villiam Bortolotti, ModelFreeFFC Tool: inversion method and software for the analysis of NMRD profiles, in: 12th Conference on Fast Field Cycling NMR Relaxometry, 2022(atti di: 12th Conference on Fast Field Cycling NMR Relaxometry, Cambridge, 13-15 July 2022) [atti di convegno-poster]

Bortolotti V.; Brizi L.; Nagmutdinova A.; Zama F.; Landi G., MUPen2DTool: A new Matlab Tool for 2D Nuclear Magnetic Resonance relaxation data inversion, «SOFTWAREX», 2022, 20, Article number: 101240, pp. 1 - 13 [articolo]Open Access

Giovanni Vito Spinelli, Leonardo Brizi, Marco Barbieri, Fabiana Zama, Germana Landi, Villiam Bortolotti, Daniel Remondini, Claudia Testa, Preliminary development of a Magnetic Resonance Fingerprinting framework for fast multiparametric low-field NMR relaxometry, in: Joint Annual Meeting ISMRM-ESMRMB 2022 and ISMRT 31st Annual Meeting, 2022(atti di: Joint Annual Meeting ISMRM-ESMRMB 2022 and ISMRT 31st Annual Meeting, London, 07-12 maggio 2022) [atti di convegno-poster]

Antonelli, Erminia; Piccolomini, Elena Loli; Zama, Fabiana, Switched forced SEIRDV compartmental models to monitor COVID-19 spread and immunization in Italy, «INFECTIOUS DISEASE MODELLING», 2022, 7, pp. 1 - 15 [articolo]Open Access

Landi, Germana; Zama, Fabiana; Bortolotti, Villiam, A New Hybrid Inversion Method for 2D Nuclear Magnetic Resonance Combining TSVD and Tikhonov Regularization, «JOURNAL OF IMAGING», 2021, 7, Article number: 18, pp. 18 - 40 [articolo]Open Access

Bortolotti V.; Landi G.; Zama F., 2DNMR data inversion using locally adapted multi-penalty regularization, «COMPUTATIONAL GEOSCIENCES», 2021, 25, pp. 1215 - 1228 [articolo]Open Access

Loli Piccolomini, Elena; Zama, Fabiana, Monitoring Italian COVID-19 spread by a forced SEIRD model, «PLOS ONE», 2020, 15, Article number: e0237417, pp. 1 - 17 [articolo]Open Access

Cascarano P.; Corsini F.; Gandolfi S.; Loli Piccolomini E.; Mandanici E.; Tavasci L.; Zama F., Super-resolution of thermal images using an automatic total variation based method, «REMOTE SENSING», 2020, 12, Article number: 1642, pp. 1 - 18 [articolo]Open Access

Lazzaro D.; Loli Piccolomini E.; Zama F., A fast splitting method for efficient Split Bregman iterations, «APPLIED MATHEMATICS AND COMPUTATION», 2019, 357, pp. 139 - 146 [articolo]Open Access

Lazzaro, D; Piccolomini, E Loli; Zama, F, A nonconvex penalization algorithm with automatic choice of the regularization parameter in sparse imaging, «INVERSE PROBLEMS», 2019, 35, Article number: 084002, pp. 1 - 17 [articolo]Open Access

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