BEVILACQUA, ALESSANDRO

BEVILACQUA, ALESSANDRO  

DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA  

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Risultati 1 - 20 di 245 (tempo di esecuzione: 0.084 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
Automatic analysis of hepatic PERFusion through the usE of CT-4D image reconstruction (PERFECT) A. Bevilacqua; D. Barone 9999-01-01 - - 8.04 Coordinamento di progetti di ricerca -
Characterization of STem cells by means of AutoMatIc aNALysis of microscopic images in pre-clinic therapy (STAMINAL) A. Bevilacqua; W. Zoli 9999-01-01 - - 8.04 Coordinamento di progetti di ricerca -
RADIOMICS - Local RADiomic features extracted from multimodal sequences to characterIze heterOgeneity of tuMour habItat and produCe imaging biomarkerS Alessandro Bevilacqua 9999-01-01 - - 8.04 Coordinamento di progetti di ricerca -
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.pdfcancers-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
Functional roles of Nogo-A in tooth innervation Laurence Pirenne, Ilaria De Santis, Alessandro Bevilacqua, Pierfrancesco Pagella, Anamaria Balic,... Martin Schwab, Thimios Mitsiadis 2022-01-01 - - 4.02 Riassunto (Abstract) -
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) -
Pro-inflammatory RNA:DNA hybrids are p53 independently boosted by hyperbaric oxygen: a subcellular distribution analysis by automated quantitative imaging Ilaria De Santis, Michele Zanoni, Sara Pignatta, Pasquale Longobardi, Anna Tesei, Alessandro Bevi...lacqua 2022-01-01 MOLECULAR IMAGING AND BIOLOGY - 1.01 Articolo in rivista s11307-022-01778-2.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.pdfdiagnostics-11-00870-s001.zip
Co-Density Distribution Maps for Advanced Molecule Colocalization And Co-Distribution Analysis Ilaria De Santis, Luca Lorenzini, Marzia Moretti, Elisa Martella, Enrico Lucarelli, Laura Calzà, ...Alessandro Bevilacqua 2021-01-01 SENSORS - 1.01 Articolo in rivista 2021-SENSORS-Co-Density Distribution Maps-PUBLISHED.pdf