Seuraa
Arnaldo Stanzione
Arnaldo Stanzione
Researcher, Department of Advanced Biomedical Sciences, University "Federico II" of Naples
Vahvistettu sähköpostiosoite verkkotunnuksessa unina.it
Nimike
Viittaukset
Viittaukset
Vuosi
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
2222023
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
1972019
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
1142020
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
1072019
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
1062024
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
1052020
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
1042019
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
1042016
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
962021
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
962021
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
942024
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
902020
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
832023
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
792019
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
762021
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
702021
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
672021
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
572018
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study
A Saha, JS Bosma, JJ Twilt, B van Ginneken, A Bjartell, AR Padhani, ...
The Lancet Oncology 25 (7), 879-887, 2024
552024
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
542021
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20