MOTTOLA, MARGHERITA
MOTTOLA, MARGHERITA
CENTRO INTERDIPARTIMENTALE ALMA MATER RESEARCH INSTITUTE ON GLOBAL CHALLENGES AND CLIMATE CHANGE (ALMA CLIMATE)
Assegnisti
A patient-driven approach to improve reproducibility of blood flow values in CT perfusion of liver
2019 Alessandro Bevilacqua; Margherita Mottola
A radiomic signature for detecting prostate cancer with multi-parametric MRI
2020 Margherita Mottola, Fabio Ferroni, Domenico Barone, Giampaolo Gavelli; Alessandro Bevilacqua
An Apparent Diffusion Coefficient-based machine learning model can improve Prostate Cancer detection in the grey area of the PI-RADS 3 category: a single-centre experience
2023 Caterina Gaudiano, Margherita Mottola, Lorenzo Bianchi, Beniamino Corcioni, Lorenzo Braccischi, Makoto Taninokuchi Tomassoni, Arrigo Cattabriga, Maria Adriana Cocozza, Francesca Giunchi, Riccardo Schiavina, Stefano Fanti, Michelangelo Fiorentino, Eugenio Brunocilla, Cristina Mosconi, Alessandro Bevilacqua
Analysis of the effects of fitting errors of DCE-CT signals on perfusion parameters
2018 Alessandro Bevilacqua; Margherita Mottola
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.
Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions
2023 Bianchi, L; Gaudiano, C; Mottola, M; Corcioni, B; Tonin, E; Droghetti, M; Cattabriga, A; Cocozza, MA; Palmeri, A; Coppola, F; Giunchi, F; Schiavina, R; Fiorentino, M; Brunocilla, E; Golfieri, R; Bevilacqua, A
Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions
2023 Bianchi Lorenzo, Gaudiano Caterina, Mottola Margherita, Corcioni Beniamino, Droghetti Matteo, Cattabriga Arrigo, Cocozza Maria Adriana, Palmeri Antonino, Coppola Francesca, Giunchi Francesca, Schiavina Riccardo, Fiorentino Michelangelo, Brunocilla Eugenio, Golfieri RIta, Bevilacqua Alessandro
Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions
2022 Gaudiano, Caterina; Mottola, Margherita; Bianchi, Lorenzo; Corcioni, Beniamino; Cattabriga, Arrigo; Cocozza, Maria Adriana; Palmeri, Antonino; Coppola, Francesca; Giunchi, Francesca; Schiavina, Riccardo; Fiorentino, Michelangelo; Brunocilla, Eugenio; Golfieri, Rita; Bevilacqua, Alessandro
Blood flow assessment of liver in patients with colorectal cancer: results agreement in a Computed Tomography perfusion multicentre study
2019 Alessandro Bevilacqua; Margherita Mottola; Valérie Vilgrain
Colormaps of CT perfusion parameters computed using different methods visually match
2019 Alessandro Bevilacqua; Margherita Mottola
Comparison of 68Ga-PSMA SUVmax and tumour heterogeneity in DW-MRI
2019 Margherita Mottola; Fabio Ferroni; Roberto Togni; Alessandro Gherardi; Alice Turci; Monica Celli; Lorenzo Fantini; Paola Caroli; Domenico Barone; Giampaolo Gavelli; Federica Matteucci; Alessandro Bevilacqua; Giovanni Paganelli
CT perfusion maps of liver computed with different methods match
2018 Bevilacqua, A.; Mottola, M.; Vilgrain, V.
CT perfusion of liver in patients with colorectal cancer allows discriminating patients who will develop liver metastases
2019 Alessandro Bevilacqua; Margherita Mottola; Valérie Vilgrain
Diffusion weighted imaging in prostate cancer: a descriptor of tumour habitat differentiates high-risk and low-risk lesions
2020 Alessandro Bevilacqua, Margherita Mottola, Fabio Ferroni, Domenico Barone, Giampaolo Gavelli
Errors of a controlled Time-Concentration Curve fitting in CT perfusion uniformly affect perfusion values computed with two different methods
2018 Bevilacqua, A.; Mottola, M.
Extracting equilibrium Blood Flow (eBF) values of CTp liver perfusion from tissue peak: a new promising perfusion parameter
2019 Margherita Mottola; Alessandro Bevilacqua
Heterogeneity of skewness in T2w-MR images of locally advanced rectal cancer relates with response to neoadjuvant chemoradiotherapy
2021 Alessandro Bevilacqua, Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Alessandra Guido, F. Di Fabio, Luigi Ricciardiello, Rita Golfieri
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
L'Intelligenza Artificiale nella diagnosi precoce nell'invasione microvascolare nell'epatocarcinoma in stadio iniziale
2022 Margherita Mottola, Matteo Renzulli, Francesca Coppola, Alessandro Bevilacqua, Rita Golfieri
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| A patient-driven approach to improve reproducibility of blood flow values in CT perfusion of liver | Alessandro Bevilacqua; Margherita Mottola | 2019-01-01 | - | - | 4.03 Poster | - |
| A radiomic signature for detecting prostate cancer with multi-parametric MRI | Margherita Mottola, Fabio Ferroni, Domenico Barone, Giampaolo Gavelli; Alessandro Bevilacqua | 2020-01-01 | - | - | 4.03 Poster | - |
| An Apparent Diffusion Coefficient-based machine learning model can improve Prostate Cancer detection in the grey area of the PI-RADS 3 category: a single-centre experience | Caterina Gaudiano, Margherita Mottola, Lorenzo Bianchi, Beniamino Corcioni, Lorenzo Braccischi, M...akoto Taninokuchi Tomassoni, Arrigo Cattabriga, Maria Adriana Cocozza, Francesca Giunchi, Riccardo Schiavina, Stefano Fanti, Michelangelo Fiorentino, Eugenio Brunocilla, Cristina Mosconi, Alessandro Bevilacqua | 2023-01-01 | CANCERS | - | 1.01 Articolo in rivista | Bevilacqua - An Apparent Diffusion Coefficient-Based Machine Learning.2023.pdf |
| Analysis of the effects of fitting errors of DCE-CT signals on perfusion parameters | Alessandro Bevilacqua; Margherita Mottola | 2018-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| 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 |
| Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions | Bianchi, L; Gaudiano, C; Mottola, M; Corcioni, B; Tonin, E; Droghetti, M; Cattabriga, A; Cocozza,... MA; Palmeri, A; Coppola, F; Giunchi, F; Schiavina, R; Fiorentino, M; Brunocilla, E; Golfieri, R; Bevilacqua, A | 2023-01-01 | EUROPEAN UROLOGY | - | 1.06 Abstract in rivista | - |
| Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions | Bianchi Lorenzo, Gaudiano Caterina, Mottola Margherita, Corcioni Beniamino, Droghetti Matteo, Cat...tabriga Arrigo, Cocozza Maria Adriana, Palmeri Antonino, Coppola Francesca, Giunchi Francesca, Schiavina Riccardo, Fiorentino Michelangelo, Brunocilla Eugenio, Golfieri RIta, Bevilacqua Alessandro | 2023-01-01 | EUROPEAN UROLOGY | - | 1.06 Abstract in rivista | - |
| Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions | Gaudiano, Caterina; Mottola, Margherita; Bianchi, Lorenzo; Corcioni, Beniamino; Cattabriga, Arrig...o; Cocozza, Maria Adriana; Palmeri, Antonino; Coppola, Francesca; Giunchi, Francesca; Schiavina, Riccardo; Fiorentino, Michelangelo; Brunocilla, Eugenio; Golfieri, Rita; Bevilacqua, Alessandro | 2022-01-01 | CANCERS | - | 1.01 Articolo in rivista | 2022_CANCERS-Beyond Multiparametric MRI and towards Radiomics.pdf |
| Blood flow assessment of liver in patients with colorectal cancer: results agreement in a Computed Tomography perfusion multicentre study | Alessandro Bevilacqua; Margherita Mottola; Valérie Vilgrain | 2019-01-01 | - | - | 4.03 Poster | - |
| Colormaps of CT perfusion parameters computed using different methods visually match | Alessandro Bevilacqua; Margherita Mottola | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Comparison of 68Ga-PSMA SUVmax and tumour heterogeneity in DW-MRI | Margherita Mottola; Fabio Ferroni; Roberto Togni; Alessandro Gherardi; Alice Turci; Monica Celli;... Lorenzo Fantini; Paola Caroli; Domenico Barone; Giampaolo Gavelli; Federica Matteucci; Alessandro Bevilacqua; Giovanni Paganelli | 2019-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| CT perfusion maps of liver computed with different methods match | Bevilacqua, A.; Mottola, M.; Vilgrain, V. | 2018-01-01 | - | - | 4.03 Poster | - |
| CT perfusion of liver in patients with colorectal cancer allows discriminating patients who will develop liver metastases | Alessandro Bevilacqua; Margherita Mottola; Valérie Vilgrain | 2019-01-01 | - | - | 4.03 Poster | - |
| Diffusion weighted imaging in prostate cancer: a descriptor of tumour habitat differentiates high-risk and low-risk lesions | Alessandro Bevilacqua, Margherita Mottola, Fabio Ferroni, Domenico Barone, Giampaolo Gavelli | 2020-01-01 | INSIGHTS INTO IMAGING | - | 1.06 Abstract in rivista | 2020_Article_ECR2020BookOfAbstracts_Extract.pdf; 2020_Article_ECR2020BookOfAbstracts.pdf |
| Errors of a controlled Time-Concentration Curve fitting in CT perfusion uniformly affect perfusion values computed with two different methods | Bevilacqua, A.; Mottola, M. | 2018-01-01 | - | - | 4.03 Poster | - |
| Extracting equilibrium Blood Flow (eBF) values of CTp liver perfusion from tissue peak: a new promising perfusion parameter | Margherita Mottola; Alessandro Bevilacqua | 2019-01-01 | - | - | 4.03 Poster | - |
| Heterogeneity of skewness in T2w-MR images of locally advanced rectal cancer relates with response to neoadjuvant chemoradiotherapy | Alessandro Bevilacqua, Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga..., Alessandra Guido, F. Di Fabio, Luigi Ricciardiello, Rita Golfieri | 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 |
| L'Intelligenza Artificiale nella diagnosi precoce nell'invasione microvascolare nell'epatocarcinoma in stadio iniziale | Margherita Mottola, Matteo Renzulli, Francesca Coppola, Alessandro Bevilacqua, Rita Golfieri | 2022-01-01 | - | - | 4.02 Riassunto (Abstract) | - |