Petretta M, Megna R, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, D , #xantonio A, Panico M, Acampa W, Cuocolo A
External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging
J Nucl Cardiol (ISSN: 1071-3581linking), 2023 Jan 4; N/D: N/D-N/D.

Volpicelli F, Nappi C, Megna R, Volpe F, Ponsiglione A, Caiazzo E, Piscopo L, G , Mainolfi C, Vergara E, Imbriaco M, Klain M, Petretta M, Cuocolo A
Qualification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Comparison of Two Freely Available Software Programs
Eur J Nucl Med Mol Imaging, 2022; 49(Suppl1): S606-S606.

Nappi C, Megna R, Volpe F, Ponsiglione A, Caiazzo E, Piscopo L, Mainolfi CG, 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
Applied Sciences Mdpi, 2022; 12,5468: N/D-N/D.

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
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
Comput Math Methods Med (ISSN: 1748-670xlinking), 2021 Nov 27; 2021: 3551756-3551756.

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
External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2021 Nov 3; N/D: N/D-N/D.

Megna R
Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave
Health Policy (ISSN: 0168-8510, 0168-8510linking), 2021 Nov; 125(11): 1441-1447.

Larobina M, Megna R, Solla R
Comparison of three freeware software packages for (18)F-FDG PET texture feature calculation
Jpn J Radiol (ISSN: 1867-1071linking), 2021 Jul; 39(7): 710-719.

Ricciardi C, Cuocolo R, Megna R, Cesarelli M, Petretta M
Machine learning analysis: general features, requirements and cardiovascular applications
Minerva Cardiol Angiol (ISSN: 2724-5772linking, 2724-5683linking), 2021 May 4; N/D: N/D-N/D.

Nappi C, Megna R, Acampa W, Assante R, Zampella E, Gaudieri V, Mannarino T, Green R, Cantoni V, Petretta M, Cuocolo A
Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease
Eur J Nucl Med (ISSN: 1619-7070linking, 1619-7070print, 1619-7089electronic), 2021 Feb; 48(2): 421-427.

Ponsiglione A, Nappi C, Imbriaco M, Ascione R, Megna R, Petretta M, Cuocolo A
Cardiac magnetic resonance imaging during the COVID-19 pandemic: A southern Italian single-center experience
Eur J Radiol Open (ISSN: 2352-0477electronic, 2352-0477linking), 2021; 8: 100319-100319.

Megna R, Zampella E, Assante R, Nappi C, Gaudieri V, Mannarino T, Cantoni V, Green R, Daniele S, Mainolfi CG, Acampa W, Petretta M, Cuocolo A
Temporal trends of abnormal myocardial perfusion imaging in a cohort of Italian subjects: Relation with cardiovascular risk factors
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Dec; 27(6): 2167-2177.

Megna R
First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast
Glob Health Res Policy (ISSN: 2397-0642linking), 2020 Oct 1; 5: 43-43.

Megna R, Nappi C, Gaudieri V, Mannarino T, Assante R, Zampella E, Green R, Cantoni V, D'Antonio A, Arumugam P, Acampa W, Petretta M, Cuocolo A
Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Jun 29; N/D: N/D-N/D.

Cassiano MT, Lanzillo R, Alfano B, Costabile T, Comerci M, Prinster A, Moccia M, Megna R, Morra VB, Quarantelli M, Brunetti A
Voxel-based analysis of gray matter relaxation rates shows different correlation patterns for cognitive impairment and physical disability in relapsing-remitting multiple sclerosis
Neuroimage Clin (ISSN: 2213-1582linking, 2213-1582electronic), 2020 Jan 30; 26: 102201-102201.

Megna R, Assante R, Zampella E, Gaudieri V, Nappi C, Cuocolo R, Mannarino T, Genova A, Green R, Cantoni V, Acampa W, Petretta M, Cuocolo A
Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2019 Nov 11; N/D: N/D-N/D.

Megna R, Cuocolo A, Petretta M
Applications of Machine Learning in Medicine
Biomedical Journal Of Scientific & Technical Research, 2019 Aug 22; 20: 15350-15352.

Pota M, Esposito M, Megna R, De Pietro G, Quarantelli M, Brescia Morra V, Alfano B
Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis
Biomedical Signal Processing And Control, 2019 Aug; 53: N/D-N/D.

Megna R, Alfano B, Lanzillo R, Costabile T, Comerci M, Vacca G, Carotenuto A, Moccia M, Servillo G, Prinster A, Brescia Morra V, Quarantelli M
Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment
J Neurol (ISSN: 1432-1459electronic, 0340-5354linking, 0340-5354print), 2019 Feb; 266(2): 361-368.

Megna R, Petretta M, Alfano B, Cantoni V, Green R, Daniele S, Acampa W, Nappi C, Gaudieri V, Assante R, Zampella E, Mazziotti E, Mannarino T, Buongiorno P, Cuocolo A
A New Relational Database Including Clinical Data and Myocardial Perfusion Imaging Findings in Coronary Artery Disease
Curr Med Imaging Rev (ISSN: 1573-4056linking), 2019; 15(7): 661-671.

Megna R, Petretta M, Alfano B, Cantoni V, Green R, Daniele S, Acampa W, Nappi C, Gaudieri V, Assante R, Zampella E, Mazziotti E, Mannarini T, Buongiorno P, Cuocolo A
A new relational database including clinical data and myocardial perfusion imaging findings in subjects with suspected or known coronary artery disease
Current Medical Imaging, 2019; 15: 661-671.

Larobina M, Solla R, Megna R
Quantitative characterization of tumors in PET: a comparison of three texture analysis software packages
European Journal Of Nuclear Medicine And Molecular Imaging, 2019; 46(Suppl1): EPS112-EPS112.

Esposito M, Minutolo A, Megna R, Forastiere M, Magliulo M, De Pietro G
A smart mobile, self-configuring, context-aware architecture for personal health monitoring
Engineering Applications Of Artificial Intelligence, 2018; 67: 136-156.

Megna R, Petretta M, Alfano B, Cantoni V, Green R, Daniele S, Acampa W, Nappi C, Gaudieri V, Assante R, Zampella E, Mazziotti E, Mannarini T, Buongiorno P, Cuocolo A
A new relational database including clinical data and myocardial perfusion imaging findings in subjects with suspected or known coronary artery disease
European Heart Journal - Cardiovascular Imaging, 2017 May; 18(Suppl1): i37-i37.

Magliulo M, Megna R, Cella L, Liuzzi R, Palma G, Pacelli R
Feasibility Study of Outpatient Monitoring by Fitness Activity Trackers in a Radiation Oncology Department
International Journal Of Radiation Oncology, 2016 Oct; 96(2S): 299-299.

Gramanzini M, Gargiulo S, Zarone F, Megna R, Apicella A, Aversa R, Salvatore M, Mancini M, Sorrentino R, Brunetti A
Combined microcomputed tomography, biomechanical and histomorphometric analysis of the peri-implant bone: a pilot study in minipig model
Dent Mater (ISSN: 0109-5641, 0109-5641linking), 2016 Jun; 32(6): 794-806.

Gargiulo S, Gramanzini M, Coda ARD, Megna R, Panico M, Mancini M, Pappata S
Animal Care in a Mouse Model of Amyotrophic Lateral Sclerosis Studied with [18F]DPA-714 Micro-PET/CT
Comparative Medicine, 2016 Feb; 66(1): 76-76.

Gargiulo S, Gramanzini M, Megna R, Mancini M
Noninvasive Ovarian Imaging in the Murine Models Using Ultrasound Biomicroscopy
Comparative Medicine, 2016 Feb; 66(1): 76-76.

Gargiulo S, Gramanzini M, Megna R, Greco A, Albanese S, Manfredi C, Brunetti A
Evaluation of growth patterns and body composition in C57Bl/6J mice using dual energy X-ray absorptiometry
Biomed Res Int (ISSN: 2314-6133, 2314-6141), 2014 Jul; 2014: 253067-253067.