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Renato Cuocolo
Renato Cuocolo
University of Naples "Federico II"
Email verificata su unina.it - Home page
Titolo
Citata da
Citata da
Anno
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
1562019
Machine learning in oncology: a clinical appraisal
R Cuocolo, M Caruso, T Perillo, L Ugga, M Petretta
Cancer letters 481, 55-62, 2020
1302020
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
992020
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
912020
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
912019
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
882019
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
882019
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
802023
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
722021
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
722021
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
722020
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
722019
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
712018
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
672019
Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis
L Ugga, T Perillo, R Cuocolo, A Stanzione, V Romeo, R Green, V Cantoni, ...
Neuroradiology 63, 1293-1304, 2021
582021
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
582020
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
572021
PSA-density does not improve bi-parametric prostate MR detection of prostate cancer in a biopsy naïve patient population
R Cuocolo, A Stanzione, G Rusconi, M Petretta, A Ponsiglione, F Fusco, ...
European journal of radiology 104, 64-70, 2018
522018
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
512022
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions
V Romeo, R Cuocolo, R Apolito, A Stanzione, A Ventimiglia, A Vitale, ...
European radiology 31, 9511-9519, 2021
492021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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