| Human, all too human? An all-around appraisal of the “artificial intelligence revolution” in medical imaging F Coppola, L Faggioni, M Gabelloni, F De Vietro, V Mendola, A Cattabriga, ... Frontiers in psychology 12, 710982, 2021 | 68 | 2021 |
| Effects of guided random sampling of TCCs on blood flow values in CT perfusion studies of lung tumors A Gibaldi, D Barone, G Gavelli, S Malavasi, A Bevilacqua Academic radiology 22 (1), 58-69, 2015 | 37 | 2015 |
| Quantitative assessment of effects of motion compensation for liver and lung tumors in CT perfusion A Bevilacqua, D Barone, S Malavasi, G Gavelli Academic radiology 21 (11), 1416-1426, 2014 | 29 | 2014 |
| Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: The role of the zone of transition (ZOT) M Renzulli, M Mottola, F Coppola, MA Cocozza, S Malavasi, A Cattabriga, ... Cancers 14 (7), 1816, 2022 | 19 | 2022 |
| Automatic detection of misleading blood flow values in CT perfusion studies of lung cancer A Bevilacqua, D Barone, S Malavasi, G Gavelli Biomedical signal processing and control 26, 109-116, 2016 | 16 | 2016 |
| A [68Ga] Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours A Bevilacqua, D Calabrò, S Malavasi, C Ricci, R Casadei, D Campana, ... Diagnostics 11 (5), 870, 2021 | 15 | 2021 |
| Liver CT perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy? A Bevilacqua, S Malavasi, V Vilgrain European Radiology 29, 6550-6558, 2019 | 7 | 2019 |
| Multislice analysis of blood flow values in CT perfusion studies of lung cancer S Malavasi, D Barone, G Gavelli, A Bevilacqua BioMed Research International 2017 (1), 3236893, 2017 | 7 | 2017 |
| A novel algorithm to detect the baseline value of a time signal in Dynamic Contrast Enhanced-Computed Tomography A Bevilacqua, S Malavasi 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2018 | 4 | 2018 |
| Studio e sviluppo di algoritmi di elaborazione di immagini da TC per analisi perfusionali S Malavasi | 1 | 2012 |
| Radiomic analysis performed on 68Ga-DOTANOC PET/CT allows discriminating primary pancreatic neuroendocrine tumour grading A Bevilacqua, D Calabrò, S Malavasi, C Ricci, R Casadei, D Campana, ... INSIGHTS INTO IMAGING, 303-303, 2021 | | 2021 |
| Radiomic analysis could allow detecting misassigned bioptic grading when discriminating G1 and G2 primary pancreatic neuroendocrine tumours imaged with 68Ga-DOTANOC PET/CT S Malavasi, D Calabrò, A Bevilacqua, C Ricci, R Casadei, D Campana, ... INSIGHTS INTO IMAGING, 1-1, 2021 | | 2021 |
| Comparing PET-derived semiquantitative parameters and radiomic features in discriminating G1 and G2 primary pancreatic neuroendocrine tumours in 68Ga-DOTANOC PET/CT S Malavasi, D Calabrò, A Bevilacqua, C Ricci, R Casadei, D Campana, ... INSIGHTS INTO IMAGING, 1-1, 2021 | | 2021 |
| [68Ga] Ga-DOTANOC PET/CT Derived Radiomic Features Can Discriminate Pancreatic Neuroendocrine Tumours from Accessory Spleens: Preliminary Results G Argalia, S Malavasi, E Fortunati, D Calabrò, D Campana, R Casadei, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1), 142-142, 2021 | | 2021 |
| [68Ga] Ga-DOTANOC PETICT & radiomics: Potential role in discriminating tumor grade in well-differentiated primary pancreatic neuroendocrine tumors D Calabrò, A Bevilacqua, S Malavasi, S Baiocco, C Ricci, R Casadei, ... JOURNAL OF NEUROENDOCRINOLOGY 33 (SUPPL 1), 177-177, 2021 | | 2021 |
| Radiomic Model Discriminating Low Grade Pancreatic Neuroendocrine Tumours Assessed by Biopsy of the Primary Lesion G Argalia, E Fortunati, D Calabro, S Malavasi, D Campana, R Casadei, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (SUPPL 1 …, 2021 | | 2021 |
| The effects of baseline length in Computed Tomography perfusion of liver S Malavasi, A Bevilacqua, G Gavelli, D Barone Biomedical Signal Processing and Control 62, 102135, 2020 | | 2020 |
| G1/G2 discrimination of pNET with [68Ga] Ga-DOTANOC PET/CT quantitative parameters: is it feasible? S Malavasi, A Bevilacqua, C Ricci, S Telo, G Argalia, E Fortunati, L Zanoni, ... EANM'20, 2020 | | 2020 |
| G1/G2 discrimination of pNET with [68Ga] Ga-DOTANOC PET/CT quantitative parameters: is it feasible? D Calabrò, S Malavasi, A Bevilacqua, C Ricci, S Telo, G Argalia, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 103-103, 2020 | | 2020 |
| Dose-saving in hepatic CT perfusion by shortening the unenhanced stage of the examinations S Malavasi, A Bevilacqua, V Vilgrain European Congress of Radiology-ECR 2018, 2018 | | 2018 |
Alessandro BevilacquaUniversity of Bologna在 unibo.it 的电子邮件经过验证
