MOTTOLA, MARGHERITA
MOTTOLA, MARGHERITA
DIMEC - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE
Assegnisti
The effectiveness of an adaptive method to analyse the transition between tumour and peritumour for answering two clinical questions in cancer imaging
2024 Margherita Mottola; Rita Golfieri; 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
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
Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review”
2023 Bevilacqua, Alessandro; Mottola, Margherita
Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings
2023 Dajana Cuicchi, Margherita Mottola, Paolo Castellucci, Alessandro Bevilacqua, Arrigo Cattabriga, Maria Adriana Cocozza, Stefano Cardelli, Gerti Dajti, Susanna Mattoni, Rita Golfieri, Stefano Fanti, Alberta Cappelli, Francesca Coppola, Gilberto Poggioli
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
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
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
LE PROPRIETÀ NASCOSTE NELL’IMMAGINE RM PER RILEVARE AUTOMATICAMENTE LA ZONA DI TRANSIZIONE TRA CARCINOMA RETTALE LOCALMENTE AVANZATO E TESSUTO SANO, E PREDIRE LA RISPOSTA ALLA TERAPIA NEO-ADIUVANTE
2022 Margherita Mottola, Francesca Coppola, Matteo Renzulli, Alessandro Bevilacqua, Rita Golfieri
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
Locally advanced rectal cancer: T2w-MRI-based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy
2021 Alessandro. Bevilacqua, Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Maria Adriana Cocozza, Dajana Cuicchi, Luigi Ricciardiello, Rita Golfieri
Prostate cancer staging based on high b-value diffusion weighted magnetic resonance imaging
2021 Margherita Mottola, Alessandro Bevilacqua, Fabio Ferroni, Giampaolo Gavelli, Domenico Barone
Radiomic features disclose the presence of microvascular invasion in hepatocellular carcinoma
2021 Alessandro Bevilacqua, Francesca Coppola, Margherita Mottola, Matteo Renzulli, Giulio Vara, Arianna Rustici, L. V. Pastore, Lidia Strigari, Rita Golfieri;
Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer
2021 Margherita Mottola; Alessandro Bevilacqua
Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients
2021 Margherita Mottola, Stephan Ursprung, Leonardo Rundo, Lorena Escudero Sanchez, Tobias Klatte, Iosif Mendichovszky, Grant D. Stewart, Evis Sala, Alessandro Bevilacqua
The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
2021 Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Maria Adriana Cocozza, Jia Cheng Yuan, Caterina De Benedittis, Dajana Cuicchi, Alessandra Guido, Fabiola Lorena Rojas Llimpe, Antonietta D’Errico, Andrea Ardizzoni, Gilberto Poggioli, Lidia Strigari, Alessio Giuseppe Morganti, Franco Bazzoli, Luigi Ricciardiello, Rita Golfieri, Alessandro Bevilacqua
The Primacy of High b-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer
2021 Alessandro Bevilacqua, Margherita Mottola, Fabio Ferroni, Alice Rossi, Giampaolo Gavelli, Domenico Barone
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| The effectiveness of an adaptive method to analyse the transition between tumour and peritumour for answering two clinical questions in cancer imaging | Margherita Mottola; Rita Golfieri; Alessandro Bevilacqua | 2024-01-01 | SENSORS | - | 1.01 Articolo in rivista | 2024-SENSORS-The Effectiveness of an Adaptive Method to Analyse the Transition between Tumour and Peritumour.pdf |
| 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 |
| 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 | - |
| Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” | Bevilacqua, Alessandro; Mottola, Margherita | 2023-01-01 | INSIGHTS INTO IMAGING | - | 1.04 Replica / breve intervento (e simili) | Bevikacqua-2023-Letter to editor.pdf |
| Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings | Dajana Cuicchi, Margherita Mottola, Paolo Castellucci, Alessandro Bevilacqua, Arrigo Cattabriga, ...Maria Adriana Cocozza, Stefano Cardelli, Gerti Dajti, Susanna Mattoni, Rita Golfieri, Stefano Fanti, Alberta Cappelli, Francesca Coppola, Gilberto Poggioli | 2023-01-01 | JOURNAL OF CLINICAL MEDICINE | - | 1.01 Articolo in rivista | jcm-12-02058 (1).pdf |
| 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 | 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 |
| 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) | - |
| LE PROPRIETÀ NASCOSTE NELL’IMMAGINE RM PER RILEVARE AUTOMATICAMENTE LA ZONA DI TRANSIZIONE TRA CARCINOMA RETTALE LOCALMENTE AVANZATO E TESSUTO SANO, E PREDIRE LA RISPOSTA ALLA TERAPIA NEO-ADIUVANTE | Margherita Mottola, Francesca Coppola, Matteo Renzulli, Alessandro Bevilacqua, Rita Golfieri | 2022-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| 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 |
| Locally advanced rectal cancer: T2w-MRI-based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy | Alessandro. Bevilacqua, Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabrig...a, Maria Adriana Cocozza, Dajana Cuicchi, Luigi Ricciardiello, Rita Golfieri | 2021-01-01 | INSIGHTS INTO IMAGING | - | 4.02 Riassunto (Abstract) | - |
| Prostate cancer staging based on high b-value diffusion weighted magnetic resonance imaging | Margherita Mottola, Alessandro Bevilacqua, Fabio Ferroni, Giampaolo Gavelli, Domenico Barone | 2021-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Radiomic features disclose the presence of microvascular invasion in hepatocellular carcinoma | Alessandro Bevilacqua, Francesca Coppola, Margherita Mottola, Matteo Renzulli, Giulio Vara, Arian...na Rustici, L. V. Pastore, Lidia Strigari, Rita Golfieri; | 2021-01-01 | INSIGHTS INTO IMAGING | - | 4.02 Riassunto (Abstract) | - |
| Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer | Margherita Mottola; Alessandro Bevilacqua | 2021-01-01 | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | - | 1.01 Articolo in rivista | Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer.pdf |
| Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients | Margherita Mottola, Stephan Ursprung, Leonardo Rundo, Lorena Escudero Sanchez, Tobias Klatte, Ios...if Mendichovszky, Grant D. Stewart, Evis Sala, Alessandro Bevilacqua | 2021-01-01 | SCIENTIFIC REPORTS | - | 1.01 Articolo in rivista | 2021_SCIREP-Reproducibility of CT‑based radiomic features.pdf |
| The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer | Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Maria Adriana Cocozza..., Jia Cheng Yuan, Caterina De Benedittis, Dajana Cuicchi, Alessandra Guido, Fabiola Lorena Rojas Llimpe, Antonietta D’Errico, Andrea Ardizzoni, Gilberto Poggioli, Lidia Strigari, Alessio Giuseppe Morganti, Franco Bazzoli, Luigi Ricciardiello, Rita Golfieri, Alessandro Bevilacqua | 2021-01-01 | DIAGNOSTICS | - | 1.01 Articolo in rivista | diagnostics-11-00795.pdf |
| The Primacy of High b-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer | Alessandro Bevilacqua, Margherita Mottola, Fabio Ferroni, Alice Rossi, Giampaolo Gavelli, Domenic...o Barone | 2021-01-01 | DIAGNOSTICS | - | 1.01 Articolo in rivista | Diagnostics 2021-The primacy of high b-value 3T-DWI Radiomics-published.pdf |