83 citations · 816 across the 59 of their papers we have counts for
7 papers · 1 filter
A comparative study of the robustness of frequency--domain connectivity measures to finite data length
Sara Sommariva, Alberto Sorrentino, Michele Piana +2
In this work we use numerical simulation to investigate how the temporal length of the data affects the reliability of the estimates of brain connectivity from EEG time--series. We…
Solar hard X-ray imaging by means of Compressed Sensing and Finite Isotropic Wavelet Transform
M. A. Duval-Poo, M. Piana, A. M. Massone
This paper shows that compressed sensing realized by means of regularized deconvolution and the Finite Isotropic Wavelet Transform is effective and reliable in hard X-ray solar ima…
A hybrid supervised/unsupervised machine learning approach to solar flare prediction
Federico Benvenuto, Michele Piana, Cristina Campi +1
We introduce a hybrid approach to solar flare prediction, whereby a supervised regularization method is used to realize feature importance and an unsupervised clustering method is…
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
The present paper proposes a novel computational method for parametric imaging of nuclear medicine data. The mathematical procedure is general enough to work for compartmental mode…
Inverse Modeling for MEG/EEG data
Alberto Sorrentino, Michele Piana
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the…
A physiology--based parametric imaging method for FDG--PET data
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
Parametric imaging is a compartmental approach that processes nuclear imaging data to estimate the spatial distribution of the kinetic parameters governing tracer flow. The present…