MEGNA, ROSARIO
MEGNA, ROSARIO
Istituto di Biostrutture e Bioimmagini - IBB - Sede Napoli
External validation of a predictive model for post-treatment persistent disease by 131I whole-body scintigraphy in patients with differentiated thyroid cancer
2025 Nappi, Carmela; Megna, Rosario; Zampella, Emilia; Volpe, Fabio; Piscopo, Leandra; Falzarano, Maria; Vallone, Carlo; Pace, Leonardo; Petretta, Mario; Cuocolo, Alberto; Klain, Michele
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, 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 |
|---|---|---|---|
| External validation of a predictive model for post-treatment persistent disease by 131I whole-body scintigraphy in patients with differentiated thyroid cancer | 1-gen-2025 | Nappi, Carmela; Megna, Rosario; Zampella, Emilia; Volpe, Fabio; Piscopo, Leandra; Falzarano, Maria; Vallone, Carlo; Pace, Leonardo; Petretta, Mario; Cuocolo, Alberto; Klain, Michele | |
| 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, 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 |