Coordinamento del progetto: Automatic analysis of hepatic PERFusion through the usE of CT-4D image reconstruction (PERFECT).
Coordinamento del progetto: Characterization of STem cells by means of AutoMatIc aNALysis of microscopic images in pre-clinic therapy (STAMINAL).
Coordinamento del progetto: RADIOMICS - Local RADiomic features extracted from multimodal sequences to characterIze heterOgeneity of tuMour habItat and produCe imaging biomarkerS.
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 [articolo]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 [articolo]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 [replica/breve intervento]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 [articolo]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 [articolo]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 [articolo]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 [articolo]Open Access
Laurence Pirenne, Ilaria De Santis, Alessandro Bevilacqua, Pierfrancesco Pagella, Anamaria Balic, Martin Schwab, Thimios Mitsiadis, Functional roles of Nogo-A in tooth innervation, in: Abstract Book, 2022, pp. 87 - 87 (atti di: 14th Tooth Morphogenesis and Differentiation (TMD) conference, Prague, Czech Republic, 26-June - 1 July 2022) [atti di convegno-abstract]
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) [atti di convegno-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) [atti di convegno-abstract]
