Margherita Mottola

7PUBLICATIONS
22CO-AUTHORS
Cancer diagnosisPredictive and prognostic markersCancer therapy (excl. chemotherapy and radiation therapy)
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Publications (7)

|Feb 24, 2024
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

|Jul 14, 2023
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

|Mar 11, 2023
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

|Dec 23, 2022
Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions.

Caterina Gaudiano, Margherita Mottola, Lorenzo Bianchi

|Apr 12, 2022
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

|Apr 30, 2021
The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.

Francesca Coppola, Margherita Mottola, Silvia Lo Monaco

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Frequent Collaborators

7 joint publications

Alessandro Bevilacqua

5 joint publications

Arrigo Cattabriga

5 joint publications

Rita Golfieri

4 joint publications

Maria Adriana Cocozza