Следене
Renato Cuocolo
Renato Cuocolo
University of Salerno
Потвърден имейл адрес: unina.it - Начална страница
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Позовавания
Позовавания
Година
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
B Kocak, B Baessler, S Bakas, R Cuocolo, A Fedorov, L Maier-Hein, ...
Insights into imaging 14 (1), 75, 2023
2242023
Machine learning applications in prostate cancer magnetic resonance imaging
R Cuocolo, MB Cipullo, A Stanzione, L Ugga, V Romeo, L Radice, ...
European radiology experimental 3, 1-8, 2019
1972019
Machine learning in oncology: a clinical appraisal
R Cuocolo, M Caruso, T Perillo, L Ugga, M Petretta
Cancer letters 481, 55-62, 2020
1742020
Prostate MRI radiomics: a systematic review and radiomic quality score assessment
A Stanzione, M Gambardella, R Cuocolo, A Ponsiglione, V Romeo, ...
European journal of radiology 129, 109095, 2020
1152020
Current applications of big data and machine learning in cardiology
R Cuocolo, T Perillo, E De Rosa, L Ugga, M Petretta
Journal of geriatric cardiology: JGC 16 (8), 601, 2019
1122019
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa
V Romeo, C Ricciardi, R Cuocolo, A Stanzione, F Verde, L Sarno, ...
Magnetic resonance imaging 64, 71-76, 2019
1082019
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
B Kocak, T Akinci D’Antonoli, N Mercaldo, A Alberich-Bayarri, B Baessler, ...
Insights into imaging 15 (1), 8, 2024
1062024
Prediction of tumor grade and nodal status in oropharyngeal and oral cavity squamous-cell carcinoma using a radiomic approach
V Romeo, R Cuocolo, C Ricciardi, L Ugga, S Cocozza, F Verde, ...
Anticancer Research 40 (1), 271-280, 2020
1052020
Clinically significant prostate cancer detection on MRI: A radiomic shape features study
R Cuocolo, A Stanzione, A Ponsiglione, V Romeo, F Verde, M Creta, ...
European journal of radiology 116, 144-149, 2019
1042019
Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset
R Cuocolo, A Comelli, A Stefano, V Benfante, N Dahiya, A Stanzione, ...
Journal of Magnetic Resonance Imaging 54 (2), 452-459, 2021
962021
Deep myometrial infiltration of endometrial cancer on MRI: a radiomics-powered machine learning pilot study
A Stanzione, R Cuocolo, R Del Grosso, A Nardiello, V Romeo, ...
Academic radiology 28 (5), 737-744, 2021
962021
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
TA D’Antonoli, A Stanzione, C Bluethgen, F Vernuccio, L Ugga, ...
Diagnostic and Interventional Radiology 30 (2), 80, 2024
952024
Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis
R Cuocolo, MB Cipullo, A Stanzione, V Romeo, R Green, V Cantoni, ...
European Radiology 30, 6877-6887, 2020
902020
Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative
G Spadarella, A Stanzione, T Akinci D’Antonoli, A Andreychenko, ...
European radiology 33 (3), 1884-1894, 2023
832023
Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning
L Ugga, R Cuocolo, D Solari, E Guadagno, A D’Amico, T Somma, ...
Neuroradiology 61, 1365-1373, 2019
812019
Detection of extraprostatic extension of cancer on biparametric MRI combining texture analysis and machine learning: preliminary results
A Stanzione, R Cuocolo, S Cocozza, V Romeo, F Persico, F Fusco, ...
Academic radiology 26 (10), 1338-1344, 2019
792019
Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public dataset
R Cuocolo, A Stanzione, A Castaldo, DR De Lucia, M Imbriaco
European journal of radiology 138, 109647, 2021
762021
Characterization of adrenal lesions on unenhanced MRI using texture analysis: a machine‐learning approach
V Romeo, S Maurea, R Cuocolo, M Petretta, PP Mainenti, F Verde, ...
Journal of Magnetic Resonance Imaging 48 (1), 198-204, 2018
752018
MRI radiomics-based machine-learning classification of bone chondrosarcoma
S Gitto, R Cuocolo, D Albano, V Chianca, C Messina, A Gambino, L Ugga, ...
European Journal of Radiology 128, 109043, 2020
742020
Spectral photon-counting computed tomography: a review on technical principles and clinical applications
M Tortora, L Gemini, I D’Iglio, L Ugga, G Spadarella, R Cuocolo
Journal of imaging 8 (4), 112, 2022
722022
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