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IEEE Transactions on Bio-Medical Engineering|June 2, 2000
Maximum-likelihood versus maximum a posteriori parameter estimation of physiological system models: the C-peptide impulse response case studyG Sparacino, C Tombolato, C CobelliTechnology and Health Care : Official Journal of the European Society for Engineering and Medicine|April 1, 1996
Reconstruction of insulin secretion rate by deconvolution: domain of validity of a monoexponential C-peptide impulse response modelG Sparacino, C CobelliAnnals of Biomedical Engineering|March 1, 1997
Impulse response model in reconstruction of insulin secretion by deconvolution: role of input design in the identification experimentG Sparacino, C CobelliIEEE Transactions on Bio-Medical Engineering|May 1, 1996
A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulusG Sparacino, C CobelliIEEE Transactions on Bio-Medical Engineering|November 1, 2001
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution methodG Pillonetto, G Sparacino, C CobelliAnnals of Biomedical Engineering|September 13, 2000
Approximate entropy studies of hormone pulsatility from plasma concentration time series: influence of the kinetics assessed by simulationG Sparacino, F Bardi, C CobelliAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessmentM Vettoretti, A Facchinetti, G Sparacino, et al.Annals of Biomedical Engineering|October 4, 2000
Bayesian identification of a population compartmental model of C-peptide kineticsP Magni, R Bellazzi, G Sparacino, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Accuracy of devices for self-monitoring of blood glucose: A stochastic error modelM Vettoretti, A Facchinetti, G Sparacino, et al.Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Reconstructing by deconvolution plasma glucose from continuous glucose monitoring sensor dataA Facchinetti, G Sparacino, F Zanderigo, et al.Pageof 21