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Journal of Applied Clinical Medical Physics|July 14, 2025
Phantom-based comparative analysis of contrast-enhanced mammography systems: Image quality and performance evaluationGiulia Bruschi, Valerio Ricciardi, Paolo De Marco, et al.
European Radiology Experimental|October 28, 2024
Transfer learning classification of suspicious lesions on breast ultrasound: is there room to avoid biopsies of benign lesions?Paolo De Marco, Valerio Ricciardi, Marta Montesano, et al.
Journal of Applied Clinical Medical Physics|January 25, 2018
New adaptive statistical iterative reconstruction ASiR-V: Assessment of noise performance in comparison to ASiRPaolo De Marco, Daniela Origgi
Tomography (Ann Arbor, Mich.)|January 24, 2025
Effective Dose Estimation in Computed Tomography by Machine LearningMatteo Ferrante, Paolo De Marco, Osvaldo Rampado, et al.
BMJ (Clinical Research Ed.)|February 10, 2017
Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk-benefit analysisCristiano Rampinelli, Paolo De Marco, Daniela Origgi, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|March 25, 2022
HeLLePhant: A phantom mimicking non-small cell lung cancer for texture analysis in CT imagesLisa Rinaldi, Federico Pezzotta, Tommaso Santaniello, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 13, 2013
Low-dose CT: technique, reading methods and image interpretationCristiano Rampinelli, Daniela Origgi, Massimo Bellomi
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