Renato Cuocolo

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Arnaldo StanzioneResearcher, Department of Advanced Biomedical Sciences, University "Federico II" of NaplesVerifierad e-postadress på unina.it
Arturo BrunettiProfessore Ordinario di Diagnostica per Immagini Università degli Studi di Napoli Federico IIVerifierad e-postadress på unina.it
Massimo ImbriacoRicercatore, Università Federico II, Napoli, ItalyVerifierad e-postadress på unina.it
Valeria RomeoDipartimento di Scienze Biomediche Avanzate - Università degli Studi di Napoli Federico IIVerifierad e-postadress på unina.it
Andrea PonsiglioneDepartment of Advanced Biomedical SciencesVerifierad e-postadress på unina.it
Mario PetrettaIRCCS SYNLAB SDN Naples - ItalyVerifierad e-postadress på unina.it
Francesco VerdeAdvanced Biomedical Sciences University of Naples Federico IIVerifierad e-postadress på studenti.unina.it
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University of Naples Federico IIVerifierad e-postadress på unina.it
Sirio CocozzaNeuroradiologist, University “Federico II", Naples, ItalyVerifierad e-postadress på unina.it
Valeria CantoniUniversity of Naples Federico IIVerifierad e-postadress på unina.it
Wanda AcampaVerifierad e-postadress på unina.it
Carmela NappiDepartment of Advanced Biomedical Sciences,Federico IIVerifierad e-postadress på unina.it
Emilia ZampellaUniversità degli studi di Napoli "Federico II"Verifierad e-postadress på unina.it
Leonardo PACEDip. di Medicina, Chirurgia ed Odontoiatria, Università di Salerno, Prof. Diagnostica per Immagini eVerifierad e-postadress på unisa.it
Raffaele LiuzziIstituto di Biostrutture e Bioimmagini - C.N.R. ItalyVerifierad e-postadress på cnr.it
Sotirios Bisdas, MD, PhD, MSc (Advan...Lead Consultant Neuroradiologist, Associate Professor in Neuroradiology, Professor in RadiologyVerifierad e-postadress på ucl.ac.uk
Massimo MidiriProfessore di Diagnostica per Immagini, Università degli Studi di PalermoVerifierad e-postadress på community.unipa.it
Marco SalvatoreProfessor of Diagnostic ImagingVerifierad e-postadress på unina.it
Daniela MelisFederico II University NaplesVerifierad e-postadress på unina.it
Federico PISCIONEProfessore di Cardiologia Università di SalernoVerifierad e-postadress på unisa.it

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Renato Cuocolo

University of Salerno

Verifierad e-postadress på unina.it - Startsida

Radiology


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	222	2023
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	197	2019
Machine learning in oncology: a clinical appraisal R Cuocolo, M Caruso, T Perillo, L Ugga, M Petretta Cancer letters 481, 55-62, 2020	173	2020
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	114	2020
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	111	2019
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	107	2019
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	106	2024
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	105	2020
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	104	2019
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	96	2021
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	96	2021
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	94	2024
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	90	2020
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	83	2023
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	81	2019
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	79	2019
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	76	2021
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	75	2018
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	74	2020
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	72	2022

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