SPARACINO, GIOVANNI

SPARACINO, GIOVANNI  

Dipartimento di Ingegneria dell'Informazione - DEI  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
"Population" approaches improve parameter estimation of kinetic models from dynamic PET data. 2004 BERTOLDO, ALESSANDRASPARACINO, GIOVANNICOBELLI, CLAUDIO IEEE TRANSACTIONS ON MEDICAL IMAGING - -
"SMALL" P300 IN PATIENTS WITH HEPATIC ENCEPHALOPATHY: LOW AMPLITUDE OR LATENCY JITTERING? 2010 CONA, GIORGIABISIACCHI, PATRIZIASPARACINO, GIOVANNIAMODIO, PIERO + - - Twenty-Seventh European Workshop on Cognitive Neuropsychology, Brixen.
A Bayesian approach to estimate evoked potentials 2002 SPARACINO, GIOVANNIARSLAN, EDOARDOCOBELLI, CLAUDIO + COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE - -
A Bayesian filtering approach to estimate hemodynamic response in functional near infrared spectroscopy (fNIRS) 2010 Fabio ScarpaSimone CutiniPietro ScatturinCostanza D'AvanzoRoberto Dell'AcquaGiovanni Sparacino + - - Congresso Nazionale di Bioingegneria 2010
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data 2019 Cappon G.Facchinetti A.Sparacino G.Favero - IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
A Bayesian framework to personalize glucose prediction in type 1 diabetes using a physiological model 2020 Giacomo CapponAndrea FacchinettiGiovanni SparacinoSimone Del Favero - - 2019 Diabetes Technology Meeting Abstracts
A Bayesian method to estimate single-trial event-related potentials with application to the study of the P300 variability 2011 D'AVANZO, COSTANZASCHIFF, SAMIAMODIO, PIEROSPARACINO, GIOVANNI JOURNAL OF NEUROSCIENCE METHODS - -
A Bayesian methodology to estimate single-trial ERPs with application to the study of the P300 variability in cirrhosis 2009 SCHIFF, SAMIAMODIO, PIEROSPARACINO, GIOVANNI + - - IFMBE ProceedingsWorld Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
A comprehensive in-silico comparison of literature methods to adjust the meal insulin bolus accounting for continuous glucose monitoring rate of change 2020 Giulia NoaroGiacomo CapponFederico BoscariGiovanni SparacinoDaniela Bruttomesso - - The Official Journal of ATTD Advanced Technologies & Treatments for Diabetes Conference Madrid, Spain—February 19–22, 2020
A Compressive Sensing Spectral Model for fNIRS Haemodynamic Response De-Noising 2015 FRIGO, GUGLIELMOBRIGADOI, SABRINAGIORGI, GIADASPARACINO, GIOVANNINARDUZZI, CLAUDIO - - Proceedings of the IEEE International Symposium on Medical Measurements and Applications
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes 2021 Cappon, GiacomoPrendin, FrancescoSparacino, GiovanniFacchinetti, Andrea + - ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
A data management platform for the assessment of new Type 1 diabetes therapies in clinical trials 2021 Cossu LucaCappon GiacomoSparacino GiovanniFacchinetti Andrea + JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY - 2020 Diabetes Technology Meeting Abstracts
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications from Administrative Claims 2021 Longato E.Fadini G. P.Sparacino G.Avogaro A.Di Camillo B. + IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS - -
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy 2023 Pellizzari, ElisaPrendin, FrancescoCappon, GiacomoSparacino, GiovanniFacchinetti, Andrea - - 2023 IEEE 19th International Conference on Body Sensor Networks (BSN)
A dynamic risk measure from continuous glucose monitoring data. 2011 GUERRA, STEFANIASPARACINO, GIOVANNIFACCHINETTI, ANDREASCHIAVON, MICHELEDALLA MAN, CHIARACOBELLI, CLAUDIO DIABETES TECHNOLOGY & THERAPEUTICS - -
A GLM-based approach to estimate stimulus-evoked hemodynamic response from fNIRS measurements 2012 Fabio ScarpaChiara FabrisSabrina BrigadoiSimone CutiniPietro ScatturinRoberto Dell'AcquaGiovanni Sparacino - - Proceedings of the 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2012)
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials 2023 Vettoretti, MartinaDel Favero, SimoneFacchinetti, AndreaSparacino, Giovanni + COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE - -
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters 2021 Camerlingo N.Vettoretti M.Sparacino G.Facchinetti A.Del Favero S. + - ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements 2011 Fabio ScarpaSabrina BrigadoiSimone CutiniPietro ScatturinMarco ZorziRoberto Dell'AcquaGiovanni Sparacino IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS - Proceedings of the 33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)
A Model of Self-Monitoring Blood Glucose Measurement Error 2017 VETTORETTI, MARTINAFACCHINETTI, ANDREASPARACINO, GIOVANNICOBELLI, CLAUDIO JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY - -