83 citations · 816 across the 59 of their papers we have counts for
10 papers · 1 filter
Mapped Variably Scaled Kernels: Applications to Solar Imaging
Francesco Marchetti, Emma Perracchione, Anna Volpara +3
Variably scaled kernels and mapped bases constructed via the so-called fake nodes approach are two different strategies to provide adaptive bases for function interpolation. In thi…
Feature augmentation for the inversion of the Fourier transform with limited data
Emma Perracchione, Anna Maria Massone, Michele Piana
We investigate an interpolation/extrapolation method that, given scattered observations of the Fourier transform, approximates its inverse. The interpolation algorithm takes advant…
The role of spectral complexity in connectivity estimation
Elisabetta Vallarino, Michele Piana, Alberto Sorrentino +1
The study of functional connectivity from magnetoecenphalographic (MEG) data consists in quantifying the statistical dependencies among time series describing the activity of diffe…
On the two-step estimation of the cross--power spectrum for dynamical inverse problems
Elisabetta Vallarino, Sara Sommariva, Michele Piana +1
We consider the problem of reconstructing the cross--power spectrum of an unobservable multivariate stochatic process from indirect measurements of a second multivariate stochastic…
Computational approaches for parametric imaging of dynamic PET data
Serena Crisci, Michele Piana, Valeria Ruggiero +1
Parametric imaging of nuclear medicine data exploits dynamic functional images in order to reconstruct maps of kinetic parameters related to the metabolism of a specific tracer inj…
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…