| Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series G Sparacino, F Zanderigo, S Corazza, A Maran, A Facchinetti, C Cobelli IEEE Transactions on biomedical engineering 54 (5), 931-937, 2007 | 412 | 2007 |
| Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring C Pérez-Gandía, A Facchinetti, G Sparacino, C Cobelli, EJ Gómez, ... Diabetes technology & therapeutics 12 (1), 81-88, 2010 | 352 | 2010 |
| Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications G Cappon, M Vettoretti, G Sparacino, A Facchinetti Diabetes & metabolism journal 43 (4), 383, 2019 | 315 | 2019 |
| Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results B Kovatchev, C Cobelli, E Renard, S Anderson, M Breton, S Patek, ... Journal of diabetes science and technology 4 (6), 1374-1381, 2010 | 256 | 2010 |
| Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment G Cappon, G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino Electronics 6 (3), 65, 2017 | 235 | 2017 |
| 2019 Clinical practice guidelines for type 2 diabetes mellitus in Korea G Cappon, M Vettoretti, G Sparacino, A Facchinetti, MK Kim, SH Ko, ... Diabetes & metabolism journal 43 (4), 398-406, 2019 | 217 | 2019 |
| Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration C Zecchin, A Facchinetti, G Sparacino, G De Nicolao, C Cobelli IEEE transactions on biomedical engineering 59 (6), 1550-1560, 2012 | 181 | 2012 |
| Continuous glucose monitoring sensors: past, present and future algorithmic challenges A Facchinetti Sensors 16 (12), 2093, 2016 | 161 | 2016 |
| Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier D Bruttomesso, A Farret, S Costa, MC Marescotti, M Vettore, A Avogaro, ... Journal of diabetes science and technology 3 (5), 1014-1021, 2009 | 159 | 2009 |
| Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms M Falda, S Toppo, A Pescarolo, E Lavezzo, B Di Camillo, A Facchinetti, ... BMC bioinformatics 13, 1-9, 2012 | 154 | 2012 |
| Modeling the glucose sensor error A Facchinetti, S Del Favero, G Sparacino, JR Castle, WK Ward, C Cobelli IEEE Transactions on Biomedical Engineering 61 (3), 620-629, 2013 | 149 | 2013 |
| Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach S Guerra, A Facchinetti, G Sparacino, G De Nicolao, C Cobelli IEEE Transactions on Biomedical Engineering 59 (6), 1658-1669, 2012 | 113 | 2012 |
| “Smart” continuous glucose monitoring sensors: on-line signal processing issues G Sparacino, A Facchinetti, C Cobelli Sensors 10 (7), 6751-6772, 2010 | 110 | 2010 |
| Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept A Facchinetti, G Sparacino, S Guerra, YM Luijf, JH DeVries, JK Mader, ... Diabetes care 36 (4), 793-800, 2013 | 108 | 2013 |
| Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems G Sparacino, A Facchinetti, A Maran, C Cobelli Current diabetes reviews 4 (3), 181-192, 2008 | 106 | 2008 |
| Calibration of minimally invasive continuous glucose monitoring sensors: state-of-the-art and current perspectives G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino Biosensors 8 (1), 24, 2018 | 105 | 2018 |
| Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information C Zecchin, A Facchinetti, G Sparacino, C Cobelli Computer methods and programs in biomedicine 113 (1), 144-152, 2014 | 101 | 2014 |
| Continuous glucose monitoring in very preterm infants: a randomized controlled trial A Galderisi, A Facchinetti, GM Steil, P Ortiz-Rubio, F Cavallin, ... Pediatrics 140 (4), 2017 | 98 | 2017 |
| Characterizing multisegment foot kinematics during gait in diabetic foot patients Z Sawacha, G Cristoferi, G Guarneri, S Corazza, G Donà, P Denti, ... Journal of NeuroEngineering and Rehabilitation 6, 1-11, 2009 | 97 | 2009 |
| Type-1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments M Vettoretti, A Facchinetti, G Sparacino, C Cobelli IEEE Transactions on Biomedical Engineering 65 (6), 1281-1290, 2017 | 93 | 2017 |
