Quarantelli M
Searching for the grail: may machine learning be a road to clinical use of brain MRI segmentation?
Eur Radiol (ISSN: 0938-7994linking), 2023 Nov 17; N/D: N/D-N/D.

Pontillo G, Penna S, Cocozza S, Quarantelli M, Gravina M, Lanzillo R, Marrone S, Costabile T, Inglese M, Morra VB, Riccio D, Elefante A, Petracca M, Sansone C, Brunetti A
Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach
Eur Radiol (ISSN: 0938-7994linking), 2022 Aug; 32 (8 ): 5382-5391.

Mainenti PP, Stanzione A, Cuocolo R, Del G, R , Danzi R, Romeo V, Raffone A, Di Psiezio A, Giordano E, Travaglino E, Insavato L, Scaglione M, Maurea S, Brunetti A
MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients
Eur J Of Radioloy, 2022 Feb; N/D: 1-6.

Megna R, Petretta M, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, D , #antonio A, Green R, Cantoni V, Arumugam P, Acampa W, Cuocolo A
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
Comput Math Methods Med (ISSN: 1748-670xlinking), 2021 Nov 27; 2021: 3551756-3551756.

Pontillo G, Tommasin S, Cuocolo R, Petracca M, Petsas N, Ugga L, Carotenuto A, Pozzilli C, Iodice R, Lanzillo R, Quarantelli M, Brescia Morra V, Tedeschi E, Pantano P, Cocozza S
A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis
Am J Neuroradiol (ISSN: 0195-6108linking, 1936-959xelectronic), 2021 Sep 16; 42(11): 1927-1933.

Stanzione A, Verde F, Romeo V, Boccadifuoco F, Mainenti PP, Maurea S
Radiomics and machine learning applications in rectal cancer: Current update and future perspectives
World J Gastroentero (ISSN: 1007-9327linking, 2219-2840), 2021 Aug 28; 27(32): 5306-5321.

Stanzione A, Cuocolo R, Verde F, Galatola R, Romeo V, Mainenti PP, Aprea G, Guadagno E, Del Basso De Caro M, Maurea S
Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions
Magn Reson Imaging (ISSN: 0730-725xlinking), 2021 Jun; 79: 52-58.

Ricciardi C, Cuocolo R, Megna R, Cesarelli M, Petretta M
Machine learning analysis: general features, requirements and cardiovascular applications
Minerva Cardiol Angiol (ISSN: 2724-5772linking, 2724-5683linking), 2021 May 4; N/D: N/D-N/D.

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, 1878-4046electronic), 2021 May; 28(5): 737-744.

Balsano C, Alisi A, Brunetto MR, Invernizzi P, Burra P, Piscaglia F
The application of artificial intelligence in hepatology: A systematic review
Dig Liver Dis (ISSN: 1590-8658linking), 2021; 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.

Barone R, Alaimo S, Messina M, Pulvirenti A, Bastin J, Group MIMIC-A, F , Frye RE, Rizzo (mimic-ag A, Fiumara R, Meli C, Gulisano M, Maugeri F, Prato A, Russo G, Tabbì G
A Subset of Patients With Autism Spectrum Disorders Show a Distinctive Metabolic Profile by Dried Blood Spot Analyses
Front Psychiatry (ISSN: 1664-0640linking, 1664-0640electronic), 2018 Dec 7; 9: 636-636.

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, 0167-8140linking), 2015 Apr 01; 115: 473-473.

Dell'Aprovitola N, Guarino S, Del Vecchio W, Camera L, Chiancone F, Imbimbo C, Salvatore M, Imbriaco M
Xanthogranulomatous pyelonephritis mimicking a renal cell carcinoma: a unique and challenging case
Acta Radiologica Short Reports (ISSN: 2047-9816), 2014 Jan; 3(1): 2047981613513763-2047981613513763.