Foto del docente

Serena Morigi

Professoressa ordinaria

Dipartimento di Matematica

Settore scientifico disciplinare: MAT/08 ANALISI NUMERICA

Pubblicazioni

Cicone A.; Huska M.; Kang S.-H.; Morigi S., JOT: A Variational Signal Decomposition into Jump, Oscillation and Trend, «IEEE TRANSACTIONS ON SIGNAL PROCESSING», 2022, 70, pp. 772 - 784 [articolo]

Colibazzi F.; Lazzaro D.; Morigi S.; Samore A., Learning Nonlinear Electrical Impedance Tomography, «JOURNAL OF SCIENTIFIC COMPUTING», 2022, 90, Article number: 58, pp. 1 - 23 [articolo]

Francesco Colibazzi; Damiana Lazzaro; Serena Morigi; Andrea Samorè, Learning regularized Gauss-Newton methods, in: Mathematics of Deep Learning, 2022(atti di: Mathematics of Deep Learning, Cambridge, United Kindom, 28 February 2022 - 4 March 2022) [atti di convegno-poster]

morigi serena; lazzaro damiana; huska martin, A forward-backward strategy for handling non-linearity in Electrical Impedence Tomography, in: LNCS 12951 Part III, Computational Science and Its Applications, ICCSA 2021, AG, Gervasi, O., Murgante, B., Misra, S., Garau, C., Blečić, I., Taniar, D., Apduhan, B.O., Rocha, A.M.A.C., Tarantino, E., Torre, C.M., 2021, pp. 635 - 651 (LECTURE NOTES IN COMPUTER SCIENCE) [capitolo di libro]

Huska, Martin; Kang, Sung H.; Lanza, Alessandro; Morigi, Serena, A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components, «SIAM JOURNAL ON IMAGING SCIENCES», 2021, 14, pp. 1749 - 1789 [articolo]

Lanza A.; Morigi S.; Sgallari F., Automatic Parameter Selection Based on Residual Whiteness for Convex Non-convex Variational Restoration, in: Springer Proceedings in Mathematics and Statistics, Springer, «SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS», 2021, 360, pp. 95 - 111 (atti di: International Workshop on Image Processing and Inverse Problems, IPIP 2018, Beijing, China, 2018) [Contributo in Atti di convegno]

Serena Morigi; Martin Huska; Matej Medla ; Karol Mikula, Lagrangian Evolution Approach to Surface-Patch Quadrangulation, «APPLICATIONS OF MATHEMATICS», 2021, 66, pp. 509 - 551 [articolo]

Scrivanti Gabriele; Luca Calatroni; Serena Morigi; L. Nicholson; A. Achim, Non-convex super-resolution of oct images via sparse representation, in: 18th IEEE International Symposium on Biomedical Imaging, «PROCEEDINGS INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING», 2021, pp. 621 - 624 (atti di: 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021,, Nice, France, 13 April 2021 - 16 April 2021,) [Contributo in Atti di convegno]

Martin Huska; Serena Morigi; Giuseppe Antonio Recupero, Sparsity-aided Variational Mesh Restoration, in: Elmoataz Abderrahim, Fadili Jalal, Queau Yvain, Rabin Julien, Simon Loic, LNCS 12679: Scale Space and Variational Methods in Computer Vision, Berlin, Elmoataz Abderrahim, Fadili Jalal, Queau Yvain, Rabin Julien, Simon Loic, 2021, pp. 437 - 449 (LECTURE NOTES IN COMPUTER SCIENCE) [capitolo di libro]

Samore A.; Rusci M.; Lazzaro D.; Melpignano P.; Benini L.; Morigi S., BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems, «IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT», 2020, 69, Article number: 9000726, pp. 6766 - 6775 [articolo]

Lazzaro, Damiana; Morigi, Serena, Matrix completion for matrices with low-rank displacement, «ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS», 2020, 53, pp. 481 - 499 [articolo]

Selesnick I.; Lanza A.; Morigi S.; Sgallari F., Non-convex Total Variation Regularization for Convex Denoising of Signals, «JOURNAL OF MATHEMATICAL IMAGING AND VISION», 2020, 62, pp. 825 - 841 [articolo]Open Access

Huska M.; Lazzaro D.; Morigi S.; Samore A.; Scrivanti G., Spatially-Adaptive Variational Reconstructions for Linear Inverse Electrical Impedance Tomography, «JOURNAL OF SCIENTIFIC COMPUTING», 2020, 84, Article number: 46, pp. 1 - 29 [articolo]

Huska M., Lanza A., Morigi S., I. Selesnick, A Convex-Nonconvex variational method for the additive decomposition of functions on surfaces, «INVERSE PROBLEMS», 2019, 35, Article number: 124008, pp. 1 - 33 [articolo]Open Access

Chan R.H.; Lazzaro D.; Morigi S.; Sgallari F., A Non-convex Nonseparable Approach to Single-Molecule Localization Microscopy, in: Scale Space and Variational Methods in Computer Vision, Lubeck, Jan Lellmann • Martin Burger • Jan Modersitzki, 2019, pp. 498 - 509 (LECTURE NOTES IN COMPUTER SCIENCE) [capitolo di libro]

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