60 citations · 147 across the 15 of their papers we have counts for
5 papers · 1 filter
Regularization from examples via neural networks for parametric inverse problems: topology matters
Paolo Massa, Sara Garbarino, Federico Benvenuto
In this work we deal with parametric inverse problems, which consist in recovering a finite number of parameters describing the structure of an unknown object, from indirect measur…
Iterative algorithms for a non-linear inverse problem in atmospheric lidar
Giulia Denevi, Sara Garbarino, Alberto Sorrentino
We consider the inverse problem of retrieving aerosol extinction coefficients from Raman lidar measurements. In this problem the unknown and the data are related through the expone…
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…
Expectation Maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar data
Sara Garbarino, Alberto Sorrentino, Anna Maria Massone +5
We consider the problem of retrieving the aerosol extinction coefficient from Raman lidar measurements. This is an ill--posed inverse problem that needs regularization, and we prop…
Compartmental analysis of renal physiology using nuclear medicine data and statistical optimization
Sara Garbarino, Giacomo Caviglia, Massimo Brignone +3
This paper describes a general approach to the compartmental modeling of nuclear data based on spectral analysis and statistical optimization. We utilize the renal physiology as te…