Margherita Mottola - Univ Bologna, ARCES, Bologna, Italy

基本信息

Career Trajectory

Bio

Currently, my research activities focus on developing multi-omics biomarkers with Artificial Intelligence and Machine Learning technologies. The two main applicative domains are the Computed Tomography (CT), including morphological and perfusion imaging, and multi-parametric Magnetic Resonance Imaging (mpMRI). Accordingly, my principal interests and skills refer to biomedical dynamic signal processing, image processing, multi-dimensional data analysis, and machine learning techniques.

Research Interests

Papers共 23 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Computer-Based Detection of Colorectal Serrated Lesions: Digital Flatness, a Novel Metric Designed for Whole-Slide Images

Margherita Mottola,Costantino Ricci, Federico Chiarucci, Caterina Ravaioli, Alessia Grillini, Alessandro Gherardi,Michelangelo Fiorentino,Alessandro Bevilacqua,Francesca Ambrosi

Laboratory investigation a journal of technical methods and pathologyno. 8 (2025): 104178-104178

Cited0Views0WOSBibtex

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

SENSORS（2024）

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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”

Alessandro Bevilacqua,Margherita Mottola

Insights into imagingno. 1 (2023): 183-183

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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

Journal of Clinical Medicine（2023）

Cited1Views0WOSBibtex

Beyond Multiparametric MRI and Towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions

L. Bianchi,C. Gaudiano,M. Mottola,B. Corcioni, E. Tonin,M. Droghetti,A. Cattabriga,M. A. Cocozza, A. Palmeri,F. Coppola,F. Giunchi,R. Schiavina,M. Fiorentino,E. Brunocilla,R. Golfieri,A. Bevilacqua

EUROPEAN UROLOGY（2023）

Cited8Views0WOSBibtex

An Apparent Diffusion Coefficient-Based Machine Learning Model Can Improve Prostate Cancer Detection in the Grey Area of the Prostate Imaging Reporting and Data System Category 3: A Single-Centre Experience

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

Cancersno. 13 (2023): 3438-3438

Cited4Views0WOSBibtex

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,Arrigo Cattabriga,Giulio Vara,Matteo Ravaioli,Matteo Cescon,Francesco Vasuri,Rita Golfieri,Alessandro Bevilacqua

Cancers（2022）

Cited21Views0WOSBibtex

Radiomic Features Disclose the Presence of Microvascular Invasion in Hepatocellular Carcinoma

Alessandro Bevilacqua,Francesca Coppola,Margherita Mottola,Renzulli Matteo,Giulio Vara,Arianna Rustici, Lucio Pastore, Lidia Strigari,Rita Golfieri

openalex（2021）

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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,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

Frontiers in Psychology（2021）

Cited60Views0WOSBibtex

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