Foto del docente

Margherita Mottola

Research fellow

Centro Interdipartimentale Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)

Publications

Margherita Mottola; Rita Golfieri; Alessandro Bevilacqua, The effectiveness of an adaptive method to analyse the transition between tumour and peritumour for answering two clinical questions in cancer imaging, «SENSORS», 2024, 24, Article number: 1156 , pp. 1 - 17 [Scientific article]Open Access

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, 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, «CANCERS», 2023, 15, Article number: 3438 , pp. 1 - 12 [Scientific article]Open Access

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, «EUROPEAN UROLOGY», 2023, 83, pp. S1404 - S1405 [Abstract]

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, «EUROPEAN UROLOGY», 2023, 83, pp. S1404 - S1405 [Abstract]

Bevilacqua, Alessandro; Mottola, Margherita, 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”, «INSIGHTS INTO IMAGING», 2023, 14, pp. 1 - 3 [Comment or similar]Open Access

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, Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings, «JOURNAL OF CLINICAL MEDICINE», 2023, 12, Article number: 2058 , pp. 1 - 12 [Scientific article]Open Access

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), «CANCERS», 2022, 14, Article number: 1816 , pp. 1 - 18 [Scientific article]Open Access

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., Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT), «CANCERS», 2022, 14, Article number: 1816 , pp. 1 - 18 [Scientific article]Open Access

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, Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions, «CANCERS», 2022, 14, Article number: 6156 , pp. 1 - 12 [Scientific article]Open Access

Margherita Mottola, Francesca Coppola, Matteo Renzulli, 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, in: Abstract Book, 2022, pp. 162 - 162 (atti di: 50° Congresso Nazionale della Società Italiana di Radiologia Medica (SIRM), ROMA, 6-9 Ottobre, 2022) [Abstract]

Margherita Mottola, Matteo Renzulli, Francesca Coppola, Alessandro Bevilacqua, Rita Golfieri, L'Intelligenza Artificiale nella diagnosi precoce nell'invasione microvascolare nell'epatocarcinoma in stadio iniziale, in: Abstract Book, 2022, pp. 166 - 166 (atti di: 50° Congresso Nazionale della Società Italiana di Radiologia Medica (SIRM), ROMA, 6-9 Ottobre, 2022) [Abstract]

Alessandro Bevilacqua, Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Alessandra Guido, F. Di Fabio, Luigi Ricciardiello, Rita Golfieri, Heterogeneity of skewness in T2w-MR images of locally advanced rectal cancer relates with response to neoadjuvant chemoradiotherapy, in: ECR 2021 – BOOK OF ABSTRACTS, «INSIGHTS INTO IMAGING», 2021, pp. 1 - 1 (atti di: The 33rd European Congress of Radiology (ECR 2021), Vienna (Austria), March 3-7, 2021) [Abstract]

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, Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging, «FRONTIERS IN PSYCHOLOGY», 2021, 12, Article number: 710982 , pp. 1 - 15 [Scientific article]Open Access

Alessandro. Bevilacqua, Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Maria Adriana Cocozza, Dajana Cuicchi, Luigi Ricciardiello, Rita Golfieri, Locally advanced rectal cancer: T2w-MRI-based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy, in: ECR 2021 – BOOK OF ABSTRACTS, «INSIGHTS INTO IMAGING», 2021, pp. 1 - 1 (atti di: The 33rd European Congress of Radiology (ECR 2021), Vienna (Austria), March 3-7, 2021) [Abstract]

Margherita Mottola, Alessandro Bevilacqua, Fabio Ferroni, Giampaolo Gavelli, Domenico Barone, Prostate cancer staging based on high b-value diffusion weighted magnetic resonance imaging, in: Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021, pp. 1386 - 1389 (atti di: IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice (France), April 13-16 2021) [Contribution to conference proceedings]

Latest news

At the moment no news are available.