MEGNA, ROSARIO
MEGNA, ROSARIO
Istituto di Biostrutture e Bioimmagini - IBB - Sede Napoli
Cardiovascular risk factors and development of nomograms in an Italian cohort of patients with suspected coronary artery disease undergoing SPECT or PET stress myocardial perfusion imaging
2024 Megna, R.; Petretta, M.; Nappi, C.; Assante, R.; Zampella, E.; Gaudieri, V.; Mannarino, T.; D'Antonio, A.; Green, R.; Cantoni, V.; Panico, M.; Acampa, W.; Cuocolo, A.
Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging
2023 Megna, Rosario; Petretta, Mario; Nappi, Carmela; Assante, Roberta; Zampella, Emilia; Gaudieri, Valeria; Mannarino, Teresa; D'Antonio, Adriana; Green, Roberta; Cantoni, Valeria; Panico, Mariarosaria; Acampa, Wanda; Cuocolo, Alberto
Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging
2023 Megna, R.; Petretta, M.; Nappi, C.; Assante, R.; Zampella, E.; Gaudieri, V.; Mannarino, T.; D'Antonio, A.; Green, R.; Cantoni, V.; Panico, M.; Acampa, W.; Cuocolo, A.
Evolution of the COVID-19 pandemic in Italy at the national and regional levels from February 2020 to March 2022
2023 Megna, Rosario
External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging
2023 Petretta, M; Megna, R; Assante, R; Zampella, E; Nappi, C; Gaudieri, V; Mannarino, T; Green, R; Cantoni, V; D'Antonio, A; Panico, M; Acampa, W; Cuocolo, A. / Mario Petretta and Rosario Megna have contributed equally to the work.
Machine learning analysis: general features, requirements and cardiovascular applications
2022 Ricciardi, C; Cuocolo, R; Megna, R; Cesarelli, M; Petretta, M
Qualification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Comparison of Two Freely Available Software Programs
2022 Volpicelli, F; Nappi, C; Megna, R; Volpe, F; Ponsiglione, A; Caiazzo, E; Piscopo, L; Mainolfi, C G; Vergara, E; Imbriaco, M; Klain, M; Petretta, M; Cuocolo, A
Quantification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Exploratory Comparison of Two Freely Available Software Programs
2022 Nappi, C; Megna, R; Volpe, F; Ponsiglione, A; Caiazzo, E; Piscopo, L; Mainolfi, Cg; Vergara, E; Imbriaco, M; Klain, M; Petretta, M; Cuocolo, A Nappi C; Megna, R contributed equally to this work
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
2021 Megna, R; Petretta, M; Assante, R; Zampella, E; Nappi, C; Gaudieri, V; Mannarino, T; D'Antonio, A; Green, R; Cantoni, V; Arumugam, P; Acampa, W; Cuocolo, A
Cardiac magnetic resonance imaging during the COVID-19 pandemic: A southern Italian single-center experience
2021 Ponsiglione, Andrea; Nappi, Carmela; Imbriaco, Massimo; Ascione, Raffaele; Megna, Rosario; Petretta, Mario; Cuocolo, Alberto
Comparison of three freeware software packages for F-18-FDG PET texture feature calculation
2021 Larobina, Michele; Megna, Rosario; Solla, Raffaele
External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging
2021 Megna, R; Petretta, M; Assante, R; Zampella, E; Nappi, C; Gaudieri, V; Mannarino, T; Green, R; Cantoni, V; Buongiorno, P; D'Antonio, A; Acampa, W; Cuocolo, A
Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave
2021 Megna, R
Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium
2020 Megna, Rosario; Nappi, Carmela; Gaudieri, Valeria; Mannarino, Teresa; Assante, Roberta; Zampella, Emilia; Green, Roberta; Cantoni, Valeria; D'Antonio, Adriana; Arumugam, Parthiban; Acampa, Wanda; Petretta, Mario; Cuocolo, Alberto
Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease
2020 Nappi, Carmela; Megna, Rosario; Acampa, Wanda; Assante, Roberta; Zampella, Emilia; Gaudieri, Valeria; Mannarino, Teresa; Green, Roberta; Cantoni, Valeria; Petretta, Mario; Cuocolo, Alberto
First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast
2020 Megna, Rosario
Voxel-based analysis of gray matter relaxation rates shows different correlation patterns for cognitive impairment and physical disability in relapsing-remitting multiple sclerosis
2020 Cassiano, Maria Teresa; Lanzillo, Roberta; Alfano, Bruno; Costabile, Teresa; Comerci, Marco; Prinster, Anna; Moccia, Marcello; Megna, Rosario; Morra, Vincenzo Brescia; Quarantelli, Mario; Brunetti, Arturo
A new relational database including clinical data and myocardial perfusion imaging findings in subjects with suspected or known coronary artery disease
2019 Megna, Rosario; Petretta, Mario; Alfano, Bruno; Cantoni, Valeria; Green, Roberta; Daniele, Stefania; Acampa, Wanda; Nappi, Carmela; Gaudieri, Valeria; Assante, Roberta; Zampella, Emilia; Mazziotti, Emanuela; Mannarino, Teresa; Buongiorno, Pietro; Cuocolo, Alberto
Applications of Machine Learning in Medicine
2019 Megna, Rosario; Cuocolo, Alberto; Mario, Petretta
Multivariate Fuzzy Analysis of Brain Tissue Volumes and Relaxation Rates for Supporting the Diagnosis of Relapsing- Remitting Multiple Sclerosis
2019 Pota, Marco; Esposito, Massimo; Megna, Rosario; DE PIETRO, Giuseppe; Quarantelli, Mario; Brescia Morra, Vincenzo; Alfano, Bruno
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Cardiovascular risk factors and development of nomograms in an Italian cohort of patients with suspected coronary artery disease undergoing SPECT or PET stress myocardial perfusion imaging | 1-gen-2024 | Megna, R.; Petretta, M.; Nappi, C.; Assante, R.; Zampella, E.; Gaudieri, V.; Mannarino, T.; D'Antonio, A.; Green, R.; Cantoni, V.; Panico, M.; Acampa, W.; Cuocolo, A. | |
| Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging | 1-gen-2023 | Megna, Rosario; Petretta, Mario; Nappi, Carmela; Assante, Roberta; Zampella, Emilia; Gaudieri, Valeria; Mannarino, Teresa; D'Antonio, Adriana; Green, Roberta; Cantoni, Valeria; Panico, Mariarosaria; Acampa, Wanda; Cuocolo, Alberto | |
| Age-Specific Cardiovascular Risk Factors for Major Adverse Cardiac Events in Patients Undergoing Myocardial Perfusion Imaging | 1-gen-2023 | Megna, R.; Petretta, M.; Nappi, C.; Assante, R.; Zampella, E.; Gaudieri, V.; Mannarino, T.; D'Antonio, A.; Green, R.; Cantoni, V.; Panico, M.; Acampa, W.; Cuocolo, A. | |
| Evolution of the COVID-19 pandemic in Italy at the national and regional levels from February 2020 to March 2022 | 1-gen-2023 | Megna, Rosario | |
| External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging | 1-gen-2023 | Petretta, M; Megna, R; Assante, R; Zampella, E; Nappi, C; Gaudieri, V; Mannarino, T; Green, R; Cantoni, V; D'Antonio, A; Panico, M; Acampa, W; Cuocolo, A. / Mario Petretta and Rosario Megna have contributed equally to the work. | |
| Machine learning analysis: general features, requirements and cardiovascular applications | 1-gen-2022 | Ricciardi, C; Cuocolo, R; Megna, R; Cesarelli, M; Petretta, M | |
| Qualification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Comparison of Two Freely Available Software Programs | 1-gen-2022 | Volpicelli, F; Nappi, C; Megna, R; Volpe, F; Ponsiglione, A; Caiazzo, E; Piscopo, L; Mainolfi, C G; Vergara, E; Imbriaco, M; Klain, M; Petretta, M; Cuocolo, A | |
| Quantification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Exploratory Comparison of Two Freely Available Software Programs | 1-gen-2022 | Nappi, C; Megna, R; Volpe, F; Ponsiglione, A; Caiazzo, E; Piscopo, L; Mainolfi, Cg; Vergara, E; Imbriaco, M; Klain, M; Petretta, M; Cuocolo, A Nappi C; Megna, R contributed equally to this work | |
| A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging | 1-gen-2021 | Megna, R; Petretta, M; Assante, R; Zampella, E; Nappi, C; Gaudieri, V; Mannarino, T; D'Antonio, A; Green, R; Cantoni, V; Arumugam, P; Acampa, W; Cuocolo, A | |
| Cardiac magnetic resonance imaging during the COVID-19 pandemic: A southern Italian single-center experience | 1-gen-2021 | Ponsiglione, Andrea; Nappi, Carmela; Imbriaco, Massimo; Ascione, Raffaele; Megna, Rosario; Petretta, Mario; Cuocolo, Alberto | |
| Comparison of three freeware software packages for F-18-FDG PET texture feature calculation | 1-gen-2021 | Larobina, Michele; Megna, Rosario; Solla, Raffaele | |
| External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging | 1-gen-2021 | Megna, R; Petretta, M; Assante, R; Zampella, E; Nappi, C; Gaudieri, V; Mannarino, T; Green, R; Cantoni, V; Buongiorno, P; D'Antonio, A; Acampa, W; Cuocolo, A | |
| Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave | 1-gen-2021 | Megna, R | |
| Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium | 1-gen-2020 | Megna, Rosario; Nappi, Carmela; Gaudieri, Valeria; Mannarino, Teresa; Assante, Roberta; Zampella, Emilia; Green, Roberta; Cantoni, Valeria; D'Antonio, Adriana; Arumugam, Parthiban; Acampa, Wanda; Petretta, Mario; Cuocolo, Alberto | |
| Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease | 1-gen-2020 | Nappi, Carmela; Megna, Rosario; Acampa, Wanda; Assante, Roberta; Zampella, Emilia; Gaudieri, Valeria; Mannarino, Teresa; Green, Roberta; Cantoni, Valeria; Petretta, Mario; Cuocolo, Alberto | |
| First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast | 1-gen-2020 | Megna, Rosario | |
| Voxel-based analysis of gray matter relaxation rates shows different correlation patterns for cognitive impairment and physical disability in relapsing-remitting multiple sclerosis | 1-gen-2020 | Cassiano, Maria Teresa; Lanzillo, Roberta; Alfano, Bruno; Costabile, Teresa; Comerci, Marco; Prinster, Anna; Moccia, Marcello; Megna, Rosario; Morra, Vincenzo Brescia; Quarantelli, Mario; Brunetti, Arturo | |
| A new relational database including clinical data and myocardial perfusion imaging findings in subjects with suspected or known coronary artery disease | 1-gen-2019 | Megna, Rosario; Petretta, Mario; Alfano, Bruno; Cantoni, Valeria; Green, Roberta; Daniele, Stefania; Acampa, Wanda; Nappi, Carmela; Gaudieri, Valeria; Assante, Roberta; Zampella, Emilia; Mazziotti, Emanuela; Mannarino, Teresa; Buongiorno, Pietro; Cuocolo, Alberto | |
| Applications of Machine Learning in Medicine | 1-gen-2019 | Megna, Rosario; Cuocolo, Alberto; Mario, Petretta | |
| Multivariate Fuzzy Analysis of Brain Tissue Volumes and Relaxation Rates for Supporting the Diagnosis of Relapsing- Remitting Multiple Sclerosis | 1-gen-2019 | Pota, Marco; Esposito, Massimo; Megna, Rosario; DE PIETRO, Giuseppe; Quarantelli, Mario; Brescia Morra, Vincenzo; Alfano, Bruno |