1 code implementation • 22 Mar 2020 • Elena Loli Piccolomini, Fabiana Zama
In this paper we propose a Susceptible-Infected-Exposed-Recovered-Dead (SEIRD) differential model for the analysis and forecast of the COVID-19 spread in some regions of Italy, using the data from the Italian Protezione Civile from February 24th 2020.
no code implementations • 29 Nov 2017 • Damiana Lazzaro, Elena Loli Piccolomini, Fabiana Zama
In this paper we present a fast and efficient method for the reconstruction of Magnetic Resonance Images (MRI) from severely under-sampled data.
