Foto del docente

Elena Loli Piccolomini

Professoressa associata confermata

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: MAT/08 ANALISI NUMERICA

Pubblicazioni

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]

Damiana Lazzaro; Elena loli Piccolomini; Fabiana Zama, A Fast algorithm for Non-Convex optimization in highly under-sampled MRI., in: SIAM Conference on IMAGING SCIENCE Book of abstracts, 2018, pp. 43 - 43 (atti di: SIAM Conference on Imaging Science, Bologna, 5-8 Giugno 2018) [atti di convegno-abstract]

Lazzaro, Damiana; Morigi, Serena; Melpignano, P.; Loli Piccolomini, E.; Benini, Luca, Image enhancement variational methods for Enabling Strong Cost Reduction in OLED-based Point-of-Care Immunofluorescent Diagnostic Systems, «INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING», 2018, 34, pp. 2932 - 2951 [articolo]

Angeli, Alessia; Piccolomini, Elena Loli; Marfia, Gustavo, Learning about Fashion exploiting the Big Multimedia Data, in: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, Institute of Electrical and Electronics Engineers Inc., 2018, 2018-, pp. 48 - 51 (atti di: 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018, ita, 2018) [Contributo in Atti di convegno]

Patrizia Melpignano; Serena Morigi ; Enrico Daniso ; Elena Loli Piccolomini; Luca Benini, POINT-OF CARE OLED-BASED MULTIPARAMETRIC BIOCHIP EXPLOITING ADVANCED IMAGE PROCESSING FOR THE DENGUE SEROTYPE RECOGNITION, in: 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and 3rd Conference on Imaging and Visualization CMBBE 2018, Lisbona, P. R. Fernandes and J. M. Tavares, 2018, pp. 1 - 14 (atti di: CMBBE 2018, Lisbona, Marzo 2018) [Contributo in Atti di convegno]

Loli Piccolomini E, Coli V.L., Morotti E., Zanni L., Reconstruction of 3D X-Rays CT images from reduced samplings by a scaled gradient projection algorithm, «COMPUTATIONAL OPTIMIZATION AND APPLICATIONS», 2018, 71, pp. 171 - 191 [articolo]

Coli, V. L.; LOLI PICCOLOMINI, Elena; Morotti, Elena; Zanni, L., A fast gradient projection method for 3D image reconstruction from limited tomographic data, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2017, 904, pp. 012013 - 012018 [articolo]

Lazzaro, Damiana; LOLI PICCOLOMINI, Elena; Ruggiero, Valeria; Zama, Fabiana, A fast subgradient algorithm in image super-resolution, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2017, 904, pp. 012009 - 012015 [articolo]

Landi, Germana; LOLI PICCOLOMINI, Elena; Nagy, J. G., A limited memory BFGS method for a nonlinear inverse problem in digital breast tomosynthesis, «INVERSE PROBLEMS», 2017, 33, pp. 095005 - 095025 [articolo]

Piccolomini, E. Loli; Morotti, E., A fast Total Variation-based iterative algorithm for digital breast tomosynthesis image reconstruction, «JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY», 2016, 10, pp. 277 - 289 [articolo]

Landi, G.; Loli Piccolomini, E; Tomba, I., A stopping criterion for iterative regularization methods, «APPLIED NUMERICAL MATHEMATICS», 2016, 106, pp. 53 - 68 [articolo]

Lazzaro, D.; Loli Piccolomini, E.; Zama, F., Efficient Compressed Sensing Based MRI Reconstruction using Nonconvex Total Variation Penalties, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2016, 756, pp. 012004 - 012009 [articolo]

Chen, K.; Loli Piccolomini, E.; Zama, F., Iterative Constrained Minimization for Vectorial TV Image Deblurring, «JOURNAL OF MATHEMATICAL IMAGING AND VISION», 2016, 54, pp. 240 - 255 [articolo]

K. Chen; E. Loli Piccolomini; F. Zama, An iterative algorithm for L1-TV constrained regularization in image restoration, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2015, 657, pp. 1 - 6 [articolo]

Landi, G.; Loli Piccolomini, E.; Nagy, J. G., Numerical solution of a nonlinear least squares problem in digital breast tomosyhntesis, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2015, 657, pp. 1 - 6 [articolo]

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