MALAVASI, SILVIA
MALAVASI, SILVIA
CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO"
Assegnisti
Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: the role of the Zone of Transition (ZOT)
2022 Matteo Renzulli, Margherita Mottola, Francesca Coppola, Maria Adriana Cocozza, Silvia Malavasi, Arrigo Cattabriga, Giulio Vara, Matteo Ravaioli, Matteo Cescon, Francesco Vasuri, Rita Golfieri, Alessandro Bevilacqua
Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT)
2022 Renzulli M.; Mottola M.; Coppola F.; Cocozza M.A.; Malavasi S.; Cattabriga A.; Vara G.; Ravaioli M.; Cescon M.; Vasuri F.; Golfieri R.; Bevilacqua A.
[68Ga]Ga-DOTANOC PET/CT Derived Radiomic Features Can Discriminate Pancreatic Neuroendocrine Tumours from Accessory Spleens: Preliminary Results
2021 Giulia Argalia, Silvia Malavasi, Emilia Fortunati, Diletta Calabrò, Davide Campana, Riccardo Casadei, Claudio Ricci, Alessandro Bevilacqua, Stefano Fanti, Valentina Ambrosini
[68Ga]Ga-DOTANOC PETICT & radiomics: Potential role in discriminating tumor grade in well-differentiated primary pancreatic neuroendocrine tumors
2021 Diletta Calabrò, Alessandro Bevilacqua, Silvia Malavasi, Serena Baiocco, Claudio Ricci, Riccardo Casadei, Davide Campana, Stefano Fanti, Valentina Ambrosini
A [68Ga]Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours
2021 Alessandro Bevilacqua, Diletta Calabrò, Silvia Malavasi, Claudio Ricci, Riccardo Casadei, Davide Campana, Serena Baiocco, Stefano Fanti, Valentina Ambrosini
Comparing PET-derived semiquantitative parameters and radiomic features in discriminating G1 and G2 primary pancreatic neuroendocrine tumours in 68Ga-DOTANOC PET/CT
2021 Silvia Malavasi, Diletta Calabrò, Alessandro Bevilacqua, Claudio Ricci, Riccardo Casadei, Davide Campana, Stefano Fanti, Valentina Ambrosini
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging
2021 Francesca Coppola, Lorenzo Faggioni, Michela Gabelloni, Fabrizio De Vietro, Vincenzo Mendola, Arrigo Cattabriga, Maria Adriana Cocozza, Giulio Vara, Alberto Piccinino, Silvia Lo Monaco, Luigi Vincenzo Pastore, Margherita Mottola, Silvia Malavasi, Alessandro Bevilacqua, Emanuele Neri, Rita Golfieri
Radiomic analysis could allow detecting misassigned bioptic grading when discriminating G1 and G2 primary pancreatic neuroendocrine tumours imaged with 68Ga-DOTANOC PET/CT
2021 Silvia Malavasi, Diletta Calabrò, Alessandro Bevilacqua, Claudio Ricci, Riccardo Casadei, Davide Campana, Stefano Fanti, Valentina Ambrosini
Radiomic analysis performed on 68Ga-DOTANOC PET/CT allows discriminating primary pancreatic neuroendocrine tumour grading
2021 A. Bevilacqua, D. Calabrò, S. Malavasi, C. Ricci, R. Casadei, D. Campana, S. Fanti, V. Ambrosini;
Radiomic Model Discriminating Low Grade Pancreatic Neuroendocrine Tumours Assessed by Biopsy of the Primary Lesion
2021 Argalia, G; Fortunati, E; Calabrò, D; Malavasi, S; Campana, D; Casadei, R; Ricci, C; Bevilacqua, A; Fanti, S; Ambrosini, V
G1/G2 discrimination of pNET with [68Ga]Ga-DOTANOC PET/CT quantitative parameters: is it feasible?
2020 Diletta Calabrò; Silvia Malavasi; Alessandro Bevilacqua; Claudio Ricci; S. Telo; Giulia Argalia; E. Fortunati; E. Tabacchi; L. Zanoni; Riccardo Casadei; Davide Campana; Stefano Fanti; Valentina Ambrosini
The Effects of Baseline Length in Computed Tomography Perfusion of Liver
2020 Silvia Malavasi, Alessandro Bevilacqua, Giampaolo Gavelli, Domenico Barone
Liver CT Perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy?
2019 Alessandro Bevilacqua; Silvia Malavasi; Valérie Vilgrain
A novel algorithm to detect the baseline value of a time signal in Dynamic Contrast Enhanced-Computed Tomography
2018 Alessandro Bevilacqua; Silvia Malavasi
Automatic computation of liver and lung perfusion parameters through the analysis of CT image sequences
2018 Malavasi, S.; Gavelli, G.; Vilgrain, V.; Bevilacqua, A.
Can perfusion heterogeneity in CT perfusion maps of NSCLC flaw clinical considerations based on global mean blood flow values?
2018 Malavasi, S.; Barone, D.; Gavelli, G.; Bevilacqua, A.
Dose-saving in hepatic CT perfusion by shortening the unenhanced stage of the examinations
2018 Malavasi, S.; Bevilacqua, A.; Vilgrain, V.
Baseline values of DCE-CT of liver in patients with colorectal cancer
2017 Bevilacqua, A.; Malavasi, S.; Ronot, M.; Daire, J.-L.; Van Beers, B.; Vilgrain, V.
Baseline values of DCE-CT of liver in patients with colorectal cancer
2017 Bevilacqua, A.; Malavasi, S.; Ronot, M.; Daire, J.-L.; Van Beers, B.; Vilgrain, V.
Multicentre analysis of blood flow values of normal liver in CT perfusion examinations of patients with colorectal cancer
2017 Bevilacqua, A.; Malavasi, S.; Ronot, M.; Daire, J.-L.; Van Beers, B.; Vilgrain, V.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: the role of the Zone of Transition (ZOT) | Matteo Renzulli, Margherita Mottola, Francesca Coppola, Maria Adriana Cocozza, Silvia Malavasi, A...rrigo Cattabriga, Giulio Vara, Matteo Ravaioli, Matteo Cescon, Francesco Vasuri, Rita Golfieri, Alessandro Bevilacqua | 2022-01-01 | CANCERS | - | 1.01 Articolo in rivista | Automatically Extracted Machine Learning Features.pdf; cancers-14-01816-s001 (1).zip |
| Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT) | Renzulli M.; Mottola M.; Coppola F.; Cocozza M.A.; Malavasi S.; Cattabriga A.; Vara G.; Ravaioli ...M.; Cescon M.; Vasuri F.; Golfieri R.; Bevilacqua A. | 2022-01-01 | CANCERS | - | 1.01 Articolo in rivista | BEVILACQUA 2022-CANCERS-Automatically extracted machine learning.pdf |
| [68Ga]Ga-DOTANOC PET/CT Derived Radiomic Features Can Discriminate Pancreatic Neuroendocrine Tumours from Accessory Spleens: Preliminary Results | Giulia Argalia, Silvia Malavasi, Emilia Fortunati, Diletta Calabrò, Davide Campana, Riccardo Casa...dei, Claudio Ricci, Alessandro Bevilacqua, Stefano Fanti, Valentina Ambrosini | 2021-01-01 | EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | - | 1.06 Abstract in rivista | - |
| [68Ga]Ga-DOTANOC PETICT & radiomics: Potential role in discriminating tumor grade in well-differentiated primary pancreatic neuroendocrine tumors | Diletta Calabrò, Alessandro Bevilacqua, Silvia Malavasi, Serena Baiocco, Claudio Ricci, Riccardo ...Casadei, Davide Campana, Stefano Fanti, Valentina Ambrosini | 2021-01-01 | JOURNAL OF NEUROENDOCRINOLOGY | - | 1.06 Abstract in rivista | - |
| A [68Ga]Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours | Alessandro Bevilacqua, Diletta Calabrò, Silvia Malavasi, Claudio Ricci, Riccardo Casadei, Davide ...Campana, Serena Baiocco, Stefano Fanti, Valentina Ambrosini | 2021-01-01 | DIAGNOSTICS | - | 1.01 Articolo in rivista | A [68Ga]Ga-DOTANOC PET-CT radiomic model for non-invasive prediction.2021.pdf; diagnostics-11-00870-s001.zip |
| Comparing PET-derived semiquantitative parameters and radiomic features in discriminating G1 and G2 primary pancreatic neuroendocrine tumours in 68Ga-DOTANOC PET/CT | Silvia Malavasi, Diletta Calabrò, Alessandro Bevilacqua, Claudio Ricci, Riccardo Casadei, Davide ...Campana, Stefano Fanti, Valentina Ambrosini | 2021-01-01 | INSIGHTS INTO IMAGING | - | 4.02 Riassunto (Abstract) | - |
| Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging | Francesca Coppola, Lorenzo Faggioni, Michela Gabelloni, Fabrizio De Vietro, Vincenzo Mendola, Arr...igo Cattabriga, Maria Adriana Cocozza, Giulio Vara, Alberto Piccinino, Silvia Lo Monaco, Luigi Vincenzo Pastore, Margherita Mottola, Silvia Malavasi, Alessandro Bevilacqua, Emanuele Neri, Rita Golfieri | 2021-01-01 | FRONTIERS IN PSYCHOLOGY | - | 1.01 Articolo in rivista | fpsyg-12-710982.pdf |
| Radiomic analysis could allow detecting misassigned bioptic grading when discriminating G1 and G2 primary pancreatic neuroendocrine tumours imaged with 68Ga-DOTANOC PET/CT | Silvia Malavasi, Diletta Calabrò, Alessandro Bevilacqua, Claudio Ricci, Riccardo Casadei, Davide ...Campana, Stefano Fanti, Valentina Ambrosini | 2021-01-01 | INSIGHTS INTO IMAGING | - | 4.02 Riassunto (Abstract) | - |
| 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, S. Fanti, V. Ambrosini; | 2021-01-01 | INSIGHTS INTO IMAGING | - | 4.01 Contributo in Atti di convegno | s13244-021-01014-5.pdf |
| Radiomic Model Discriminating Low Grade Pancreatic Neuroendocrine Tumours Assessed by Biopsy of the Primary Lesion | Argalia, G; Fortunati, E; Calabrò, D; Malavasi, S; Campana, D; Casadei, R; Ricci, C; Bevilacqua, ...A; Fanti, S; Ambrosini, V | 2021-01-01 | EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | - | 1.06 Abstract in rivista | - |
| G1/G2 discrimination of pNET with [68Ga]Ga-DOTANOC PET/CT quantitative parameters: is it feasible? | Diletta Calabrò; Silvia Malavasi; Alessandro Bevilacqua; Claudio Ricci; S. Telo; Giulia Argalia; ...E. Fortunati; E. Tabacchi; L. Zanoni; Riccardo Casadei; Davide Campana; Stefano Fanti; Valentina Ambrosini | 2020-01-01 | EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | - | 4.02 Riassunto (Abstract) | - |
| The Effects of Baseline Length in Computed Tomography Perfusion of Liver | Silvia Malavasi, Alessandro Bevilacqua, Giampaolo Gavelli, Domenico Barone | 2020-01-01 | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | - | 1.01 Articolo in rivista | The Effects of Baseline Length in Computed Tomography Perfusion of Liver.pdf |
| Liver CT Perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy? | Alessandro Bevilacqua; Silvia Malavasi; Valérie Vilgrain | 2019-01-01 | EUROPEAN RADIOLOGY | - | 1.01 Articolo in rivista | - |
| A novel algorithm to detect the baseline value of a time signal in Dynamic Contrast Enhanced-Computed Tomography | Alessandro Bevilacqua; Silvia Malavasi | 2018-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Automatic computation of liver and lung perfusion parameters through the analysis of CT image sequences | Malavasi, S.; Gavelli, G.; Vilgrain, V.; Bevilacqua, A. | 2018-01-01 | INSIGHTS INTO IMAGING | - | 4.02 Riassunto (Abstract) | insights-Imaging2018.pdf |
| Can perfusion heterogeneity in CT perfusion maps of NSCLC flaw clinical considerations based on global mean blood flow values? | Malavasi, S.; Barone, D.; Gavelli, G.; Bevilacqua, A. | 2018-01-01 | INSIGHTS INTO IMAGING | - | 4.02 Riassunto (Abstract) | insights-Imaging2018.pdf |
| Dose-saving in hepatic CT perfusion by shortening the unenhanced stage of the examinations | Malavasi, S.; Bevilacqua, A.; Vilgrain, V. | 2018-01-01 | - | - | 4.03 Poster | - |
| Baseline values of DCE-CT of liver in patients with colorectal cancer | Bevilacqua, A.; Malavasi, S.; Ronot, M.; Daire, J.-L.; Van Beers, B.; Vilgrain, V. | 2017-01-01 | INSIGHTS INTO IMAGING | Springer | 4.02 Riassunto (Abstract) | - |
| Baseline values of DCE-CT of liver in patients with colorectal cancer | Bevilacqua, A.; Malavasi, S.; Ronot, M.; Daire, J.-L.; Van Beers, B.; Vilgrain, V. | 2017-01-01 | - | - | 4.03 Poster | - |
| Multicentre analysis of blood flow values of normal liver in CT perfusion examinations of patients with colorectal cancer | Bevilacqua, A.; Malavasi, S.; Ronot, M.; Daire, J.-L.; Van Beers, B.; Vilgrain, V. | 2017-01-01 | - | - | 4.03 Poster | - |