Linear discriminant analysis and principal component analysis to predict coronary artery disease C Ricciardi, AS Valente, K Edmund, V Cantoni, R Green, A Fiorillo, ... Health informatics journal 26 (3), 2181-2192, 2020 | 99 | 2020 |
Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis R Cuocolo, MB Cipullo, A Stanzione, V Romeo, R Green, V Cantoni, ... European Radiology 30, 6877-6887, 2020 | 76 | 2020 |
Combined evaluation of regional coronary artery calcium and myocardial perfusion by 82Rb PET/CT in the identification of obstructive coronary artery disease E Zampella, W Acampa, R Assante, C Nappi, V Gaudieri, CG Mainolfi, ... European journal of nuclear medicine and molecular imaging 45, 521-529, 2018 | 66 | 2018 |
Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis L Ugga, T Perillo, R Cuocolo, A Stanzione, V Romeo, R Green, V Cantoni, ... Neuroradiology 63, 1293-1304, 2021 | 65 | 2021 |
Efficacy of transversus abdominis plane (TAP) block in colorectal surgery: a systematic review and meta-analysis R Peltrini, V Cantoni, R Green, PA Greco, M Calabria, L Bucci, F Corcione Techniques in Coloproctology 24, 787-802, 2020 | 57 | 2020 |
Esophagogastric neoplasms following bariatric surgery: an updated systematic review M Musella, G Berardi, A Bocchetti, R Green, V Cantoni, N Velotti, ... Obesity Surgery 29, 2660-2669, 2019 | 53 | 2019 |
Diagnostic performance of myocardial perfusion imaging with conventional and CZT single-photon emission computed tomography in detecting coronary artery disease: A meta-analysis V Cantoni, R Green, W Acampa, E Zampella, R Assante, C Nappi, ... Journal of Nuclear Cardiology 28 (2), 698-715, 2021 | 52 | 2021 |
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center C Ricciardi, V Cantoni, G Improta, L Iuppariello, I Latessa, M Cesarelli, ... Computer methods and programs in biomedicine 189, 105343, 2020 | 51 | 2020 |
Warranty period of normal stress myocardial perfusion imaging in diabetic patients: A propensity score analysis W Acampa, M Petretta, R Cuocolo, S Daniele, V Cantoni, A Cuocolo Journal of Nuclear Cardiology 21 (1), 50-56, 2014 | 45 | 2014 |
Prognostic value of normal stress myocardial perfusion imaging in diabetic patients: a meta-analysis W Acampa, V Cantoni, R Green, F Maio, S Daniele, C Nappi, V Gaudieri, ... Journal of Nuclear Cardiology 21 (5), 893-902, 2014 | 44 | 2014 |
Negative predictive value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis R Green, V Cantoni, M Petretta, W Acampa, M Panico, P Buongiorno, ... Journal of Nuclear Cardiology 25 (5), 1588-1597, 2018 | 34 | 2018 |
Is it possible to predict cardiac death? C Ricciardi, V Cantoni, R Green, G Improta, M Cesarelli XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 30 | 2020 |
Risk of appendiceal neoplasm after interval appendectomy for complicated appendicitis: A systematic review and meta-analysis R Peltrini, V Cantoni, R Green, R Lionetti, M D'Ambra, C Bartolini, ... the surgeon 19 (6), e549-e558, 2021 | 29 | 2021 |
Long-term prognostic value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis V Cantoni, R Green, W Acampa, M Petretta, D Bonaduce, M Salvatore, ... Journal of Nuclear Cardiology 23 (2), 185-197, 2016 | 25 | 2016 |
Effects of the COVID-19 pandemic on myocardial perfusion imaging for ischemic heart disease C Nappi, R Megna, W Acampa, R Assante, E Zampella, V Gaudieri, ... European Journal of Nuclear Medicine and Molecular Imaging 48, 421-427, 2021 | 23 | 2021 |
Comprehensive meta-analysis on [18F] FDG PET/CT and radiolabelled leukocyte SPECT–SPECT/CT imaging in infectious endocarditis and cardiovascular … V Cantoni, M Sollini, R Green, R Berchiolli, E Lazzeri, T Mannarino, ... Clinical and Translational Imaging 6, 3-18, 2018 | 22 | 2018 |
Post-stress left ventricular ejection fraction drop in patients with diabetes: a gated myocardial perfusion imaging study A Ferro, M Petretta, W Acampa, G Fiumara, S Daniele, MP Petretta, ... BMC Cardiovascular Disorders 13, 1-6, 2013 | 21 | 2013 |
A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT V Cantoni, R Green, C Ricciardi, R Assante, E Zampella, C Nappi, ... Journal of nuclear cardiology 29 (1), 46-55, 2022 | 20 | 2022 |
Efficacy of postoperative upper gastrointestinal series (UGI) and computed tomography (CT) scan in bariatric surgery: a meta-analysis on 7516 patients M Musella, V Cantoni, R Green, W Acampa, N Velotti, P Maietta, ... Obesity surgery 28, 2396-2405, 2018 | 19 | 2018 |
Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging R Megna, R Assante, E Zampella, V Gaudieri, C Nappi, R Cuocolo, ... Journal of Nuclear Cardiology 28 (5), 1891-1902, 2021 | 18 | 2021 |