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Burattini

Showing results (81-90 of 662) with videos related to

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Medical Engineering & Physics|April 1, 1996
Fit to diastolic arterial pressure by third-order lumped model yields unreliable estimates of arterial complianceR Fogliardi, R Burattini, S G Shroff, et al.
International Journal of Environmental Research and Public Health|May 14, 2022
Review on Cardiorespiratory Complications after SARS-CoV-2 Infection in Young Adult Healthy AthletesSofia Romagnoli, Agnese Sbrollini, Ilaria Marcantoni, et al.
Microscopy Research and Technique|July 19, 2020
Holotomographic microscopy: A new approach to detect apoptotic cell featuresSara Salucci, Michela Battistelli, Sabrina Burattini, et al.
Data in Brief|April 14, 2020
Postural data from Stargardt's syndrome patientsAgnese Sbrollini, Valentina Agostini, Chanda Cavallini, et al.
Dalton Transactions (Cambridge, England : 2003)|April 1, 2010
Palladium complexes with a tridentate PNO ligand. Synthesis of eta1-allyl complexes and cross-coupling reactions promoted by boron compoundsBruno Crociani, Simonetta Antonaroli, Marcello Burattini, et al.
The Brazilian Journal of Infectious Diseases : an Official Publication of the Brazilian Society of Infectious Diseases|June 1, 1997
Malaria Transmission Associated with Airplane TravelCimerman, Barata, Pignatari, et al.
Neuroscience|March 7, 2006
The ethanol self-administration context as a reinstatement cue: acute effects of naltrexoneC Burattini, T M Gill, G Aicardi, et al.
Computers in Biology and Medicine|July 24, 2019
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health RecordsMichele Bernardini, Micaela Morettini, Luca Romeo, et al.
Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|July 27, 2019
Classification of drug-induced hERG potassium-channel block from electrocardiographic T-wave features using artificial neural networksMicaela Morettini, Chiara Peroni, Agnese Sbrollini, et al.
Annals of Biomedical Engineering|January 1, 1985
Identification of canine coronary resistance and intramyocardial compliance on the basis of the waterfall modelR Burattini, P Sipkema, G A van Huis, et al.
Pageof 67

Showing results (81-90 of 662) with videos related to

Sort By:
Pageof 67
Medical Engineering & Physics|April 1, 1996
Fit to diastolic arterial pressure by third-order lumped model yields unreliable estimates of arterial complianceR Fogliardi, R Burattini, S G Shroff, et al.
International Journal of Environmental Research and Public Health|May 14, 2022
Review on Cardiorespiratory Complications after SARS-CoV-2 Infection in Young Adult Healthy AthletesSofia Romagnoli, Agnese Sbrollini, Ilaria Marcantoni, et al.
Microscopy Research and Technique|July 19, 2020
Holotomographic microscopy: A new approach to detect apoptotic cell featuresSara Salucci, Michela Battistelli, Sabrina Burattini, et al.
Data in Brief|April 14, 2020
Postural data from Stargardt's syndrome patientsAgnese Sbrollini, Valentina Agostini, Chanda Cavallini, et al.
Dalton Transactions (Cambridge, England : 2003)|April 1, 2010
Palladium complexes with a tridentate PNO ligand. Synthesis of eta1-allyl complexes and cross-coupling reactions promoted by boron compoundsBruno Crociani, Simonetta Antonaroli, Marcello Burattini, et al.
The Brazilian Journal of Infectious Diseases : an Official Publication of the Brazilian Society of Infectious Diseases|June 1, 1997
Malaria Transmission Associated with Airplane TravelCimerman, Barata, Pignatari, et al.
Neuroscience|March 7, 2006
The ethanol self-administration context as a reinstatement cue: acute effects of naltrexoneC Burattini, T M Gill, G Aicardi, et al.
Computers in Biology and Medicine|July 24, 2019
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health RecordsMichele Bernardini, Micaela Morettini, Luca Romeo, et al.
Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|July 27, 2019
Classification of drug-induced hERG potassium-channel block from electrocardiographic T-wave features using artificial neural networksMicaela Morettini, Chiara Peroni, Agnese Sbrollini, et al.
Annals of Biomedical Engineering|January 1, 1985
Identification of canine coronary resistance and intramyocardial compliance on the basis of the waterfall modelR Burattini, P Sipkema, G A van Huis, et al.
Pageof 67