Papers

2022

Antonelli, E., Piccolomini, E. L., & Zama, F. (2022). Switched forced SEIRDV compartmental models to monitor COVID-19 spread and immunization in Italy. Infectious Disease Modelling, 7(1), 1-15.
Cascarano, P., Piccolomini, E. L., Morotti, E., & Sebastiani, A. (2022). Plug-and-Play gradient-based denoisers applied to CT image enhancement. Applied Mathematics and Computation, 422.

Cascarano, P., Calatroni, L., & Piccolomini, E. L. (2021). Efficient $\ell^ 0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. IEEE Transactions on Computational Imaging, 7, 399-408.
Morotti, E., Evangelista, D., & Loli Piccolomini, E. (2021). A green prospective for learned post-processing in sparse-view tomographic reconstruction. Journal of Imaging, 7(8), 139
Cascarano, P., Comes, M. C., Sebastiani, A., Mencattini, A., Piccolomini, E. L., & Martinelli, E. (2021). DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy. arXiv preprint arXiv:2107.02281.
Piccolomini, E. L., & Morotti, E. (2021). A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction. Journal of Imaging, 7(2), 36.

Loli Piccolomini, E., & Zama, F. (2020). Monitoring Italian COVID-19 spread by a forced SEIRD model. PloS one, 15(8), e0237417.
Cavicchioli, R., Hu, J. C., Loli Piccolomini, E., Morotti, E., & Zanni, L. (2020). GPU acceleration of a model-based iterative method for Digital Breast Tomosynthesis. Scientific Reports, 10(1), 1-10.
Cascarano, P., Corsini, F., Gandolfi, S., Piccolomini, E. L., Mandanici, E., Tavasci, L., & Zama, F. (2020). Super-resolution of thermal images using an automatic total variation based method. Remote Sensing, 12(10), 1642.

Loli Piccolomini, E., Gandolfi, S., Poluzzi, L., Tavasci, L., Cascarano, P., & Pascucci, A. (2019). Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction. In 26th International Symposium on Temporal Representation and Reasoning (TIME 2019). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
Landi, G., Piccolomini, E. L., & Nagy, J. (2019). Nonlinear conjugate gradient method for spectral tomosynthesis. Inverse Problems, 35(9), 094003
Lazzaro, D., Piccolomini, E. L., & Zama, F. (2019). A nonconvex penalization algorithm with automatic choice of the regularization parameter in sparse imaging. Inverse Problems, 35(8), 084002.
Lazzaro, D., Piccolomini, E. L., & Zama, F. (2019). A fast splitting method for efficient Split Bregman iterations. Applied Mathematics and Computation, 357, 139-146