Stanzione A, Ricciardi C, Cuocolo R, Romeo V, Petrone J, Sarnataro M, Mainenti PP, Improta G, De Rosa F, Insabato L, Brunetti A, Maurea S
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study
J Digit Imaging (ISSN: 0897-1889linking), 2020 Aug; 33(4): 879-887.

Stanzione A, Cuocolo R, Del Grosso R, Nardiello A, Romeo V, Travaglino A, Raffone A, Bifulco G, Zullo F, Insabato L, Maurea S, Mainenti PP
Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study
Acad Radiol (ISSN: 1076-6332linking), 2020; N/D: N/D-N/D.

Romeo V, Ricciardi C, Cuocolo R, Stanzione A, Verde F, Sarno L, Improta G, Mainenti PP, D'Armiento M, Brunetti A, Maurea S
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa
Magn Reson Imaging (ISSN: 0730-725xlinking), 2019 Dec; 64: 71-76.

Megna R, Cuocolo A, Petretta M
Applications of Machine Learning in Medicine
Biomedical Journal Of Scientific & Technical Research, 2019 Aug 22; 20: 15350-15352.

Romeo V, Maurea S, Cuocolo R, Petretta M, Mainenti PP, Verde F, Coppola M, Dell'Aversana S, Brunetti A
Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach
J Magn Reson Imaging (ISSN: 1522-2586electronic, 1053-1807linking), 2018 Jul; 48(1): 198-204.

Pacelli R, Oh JH, Deasy JO, Conson M, D'Avino V, Picardi M, Pressello MC, Boboc G, Battistini R, Donato V, Cella L
Machine learning-based prediction of late radiation induced lung toxicity in Hodgkin's lymphoma survivors
Radiother Oncol (ISSN: 0167-8140, 1879-0887), 2015 Apr 01; 115: 473-473.