| 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 | 198 | 2019 |
| 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 | 115 | 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 | 108 | 2019 |
| 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 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 |
| 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 |
| Assessment and prediction of response to neoadjuvant chemotherapy in breast cancer: A comparison of imaging modalities and future perspectives V Romeo, G Accardo, T Perillo, L Basso, N Garbino, E Nicolai, S Maurea, ... Cancers 13 (14), 3521, 2021 | 82 | 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 | 79 | 2019 |
| 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 |
| 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 | 71 | 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 | 68 | 2021 |
| Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status CH Sudre, J Panovska-Griffiths, E Sanverdi, S Brandner, VK Katsaros, ... BMC medical informatics and decision making 20, 1-14, 2020 | 60 | 2020 |
| 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 | 55 | 2021 |
| Correlative imaging of cystic lymphangiomas: ultrasound, CT and MRI comparison V Romeo, S Maurea, PP Mainenti, L Camera, G Aprea, I Cozzolino, ... Acta radiologica open 4 (5), 2047981614564911, 2015 | 52 | 2015 |
| 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 | 51 | 2019 |
| AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis V Romeo, P Clauser, S Rasul, P Kapetas, P Gibbs, PAT Baltzer, M Hacker, ... European Journal of Nuclear Medicine and Molecular Imaging 49 (2), 596-608, 2022 | 50 | 2022 |
| Preliminary results of a simplified breast MRI protocol to characterize breast lesions: comparison with a full diagnostic protocol and a review of the current literature V Romeo, R Cuocolo, R Liuzzi, A Riccardi, A Accurso, A Acquaviva, ... Academic radiology 24 (11), 1387-1394, 2017 | 49 | 2017 |
| Distinguishing functional from non-functional pituitary macroadenomas with a machine learning analysis R Carlo, C Renato, C Giuseppe, U Lorenzo, I Giovanni, S Domenico, ... XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 46 | 2020 |
| Oncologic imaging and radiomics: a walkthrough review of methodological challenges A Stanzione, R Cuocolo, L Ugga, F Verde, V Romeo, A Brunetti, S Maurea Cancers 14 (19), 4871, 2022 | 44 | 2022 |
