BEVILACQUA, ALESSANDRO
BEVILACQUA, ALESSANDRO
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Ricercatori
Automatic analysis of hepatic PERFusion through the usE of CT-4D image reconstruction (PERFECT)
In corso di stampa A. Bevilacqua; D. Barone
Characterization of STem cells by means of AutoMatIc aNALysis of microscopic images in pre-clinic therapy (STAMINAL)
In corso di stampa A. Bevilacqua; W. Zoli
RADIOMICS - Local RADiomic features extracted from multimodal sequences to characterIze heterOgeneity of tuMour habItat and produCe imaging biomarkerS
In corso di stampa Alessandro Bevilacqua
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
Functional roles of Nogo-A in tooth innervation
2022 Laurence Pirenne, Ilaria De Santis, Alessandro Bevilacqua, Pierfrancesco Pagella, Anamaria Balic, Martin Schwab, Thimios Mitsiadis
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
Pro-inflammatory RNA:DNA hybrids are p53 independently boosted by hyperbaric oxygen: a subcellular distribution analysis by automated quantitative imaging
2022 Ilaria De Santis, Michele Zanoni, Sara Pignatta, Pasquale Longobardi, Anna Tesei, Alessandro Bevilacqua
[68Ga]Ga-DOTANOC PET/CT Derived Radiomic Features Can Discriminate Pancreatic Neuroendocrine Tumours from Accessory Spleens: Preliminary Results
2021 Giulia Argalia, Silvia Malavasi, Emilia Fortunati, Diletta Calabrò, Davide Campana, Riccardo Casadei, Claudio Ricci, Alessandro Bevilacqua, Stefano Fanti, Valentina Ambrosini
[68Ga]Ga-DOTANOC PETICT & radiomics: Potential role in discriminating tumor grade in well-differentiated primary pancreatic neuroendocrine tumors
2021 Diletta Calabrò, Alessandro Bevilacqua, Silvia Malavasi, Serena Baiocco, Claudio Ricci, Riccardo Casadei, Davide Campana, Stefano Fanti, Valentina Ambrosini
A [68Ga]Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours
2021 Alessandro Bevilacqua, Diletta Calabrò, Silvia Malavasi, Claudio Ricci, Riccardo Casadei, Davide Campana, Serena Baiocco, Stefano Fanti, Valentina Ambrosini
Co-Density Distribution Maps for Advanced Molecule Colocalization And Co-Distribution Analysis
2021 Ilaria De Santis, Luca Lorenzini, Marzia Moretti, Elisa Martella, Enrico Lucarelli, Laura Calzà, Alessandro Bevilacqua
| 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.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 |
| 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.pdf; diagnostics-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 |