| 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 | 158 | 2019 |
| Biparametric 3T Magentic Resonance Imaging for prostatic cancer detection in a biopsy-naïve patient population: a further improvement of PI-RADS v2? A Stanzione, M Imbriaco, S Cocozza, F Fusco, G Rusconi, C Nappi, ... European journal of radiology 85 (12), 2269-2274, 2016 | 103 | 2016 |
| 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 | 100 | 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 | 92 | 2020 |
| 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 | 91 | 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 | 89 | 2019 |
| 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 | 82 | 2023 |
| 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 | 74 | 2020 |
| 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 | 73 | 2021 |
| 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 | 73 | 2019 |
| 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 | 72 | 2021 |
| 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 | 60 | 2021 |
| 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 | 57 | 2021 |
| 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 | 52 | 2018 |
| 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 | 49 | 2023 |
| 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 | 49 | 2021 |
| MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study R Cuocolo, A Stanzione, R Faletti, M Gatti, G Calleris, A Fornari, F Gentile, ... European radiology, 1-9, 2021 | 48 | 2021 |
| Prostate MRI technical parameters standardization: a systematic review on adherence to PI-RADSv2 acquisition protocol R Cuocolo, A Stanzione, A Ponsiglione, F Verde, A Ventimiglia, V Romeo, ... European Journal of Radiology 120, 108662, 2019 | 45 | 2019 |
| Radiomics and machine learning applications in rectal cancer: current update and future perspectives A Stanzione, F Verde, V Romeo, F Boccadifuoco, PP Mainenti, S Maurea World Journal of Gastroenterology 27 (32), 5306, 2021 | 42 | 2021 |
| MRI radiomics for the prediction of Fuhrman grade in clear cell renal cell carcinoma: a machine learning exploratory study A Stanzione, C Ricciardi, R Cuocolo, V Romeo, J Petrone, M Sarnataro, ... Journal of digital imaging 33, 879-887, 2020 | 41 | 2020 |
Renato CuocoloUniversity of Naples "Federico II"Verified email at unina.it
