| 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 | 207 | 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 | 196 | 2019 |
| Machine learning in oncology: a clinical appraisal R Cuocolo, M Caruso, T Perillo, L Ugga, M Petretta Cancer letters 481, 55-62, 2020 | 172 | 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 |
| 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 | 108 | 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 | 108 | 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 | 106 | 2019 |
| 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 | 103 | 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 | 99 | 2024 |
| 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 | 95 | 2021 |
| 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 | 91 | 2020 |
| 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 | 90 | 2024 |
| 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 | 80 | 2019 |
| 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 | 77 | 2023 |
| 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 | 77 | 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 | 76 | 2018 |
| 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 | 73 | 2022 |
| 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 | 72 | 2020 |
Arnaldo StanzioneResearcher, Department of Advanced Biomedical Sciences, University "Federico II" of Naples在 unina.it 的电子邮件经过验证