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European Radiology|April 15, 2021
Machine learning solutions in radiology: does the emperor have no clothes?Renato Cuocolo, Massimo Imbriaco
European Journal of Radiology|March 15, 2021
Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public datasetRenato Cuocolo, Arnaldo Stanzione, Anna Castaldo, et al.
European Journal of Radiology|June 13, 2020
Prostate MRI radiomics: A systematic review and radiomic quality score assessmentArnaldo Stanzione, Michele Gambardella, Renato Cuocolo, et al.
AJR. American Journal of Roentgenology|January 27, 2021
Clinically Significant Prostate Cancer Detection With Biparametric MRI: A Systematic Review and Meta-AnalysisRenato Cuocolo, Francesco Verde, Andrea Ponsiglione, et al.
Journal of Geriatric Cardiology : JGC|October 18, 2021
Cardiac hybrid imaging: novel tracers for novel targetsAndrea Ponsiglione, Raffaele Ascione, Carmela Nappi, et al.
European Journal of Radiology|September 21, 2019
Prostate MRI technical parameters standardization: A systematic review on adherence to PI-RADSv2 acquisition protocolRenato Cuocolo, Arnaldo Stanzione, Andrea Ponsiglione, et al.
European Radiology Experimental|August 9, 2019
Machine learning applications in prostate cancer magnetic resonance imagingRenato Cuocolo, Maria Brunella Cipullo, Arnaldo Stanzione, et al.
Insights Into Imaging|September 21, 2018
Spectrum of lytic lesions of the skull: a pictorial essayLorenzo Ugga, Renato Cuocolo, Sirio Cocozza, et al.
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