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Advanced Research in Pediatric Radiology and Nuclear Medicine

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Palabras clave – provistas por la editorial

as low as reasonably achievable; computed tomography; convolutional neural network; deep learning; dose reduction; generative adversarial network; image processing; machine learning; medical imaging; noise; contrast-enhanced ultrasound; head ultrasound; brain death; infants; ancillary test; child; paediatric; infant; adolescent; chest X-ray; CXR; chest radiography; COVID-19; SARS-CoV-2; coronavirus; biliary atresia; ultrasonography; diagnostic accuracy; intraoperative cholangiography (IOC); diagnostic performance; elastography; three-dimensional printing; congenital heart disease; children; model; personalized medicine; application; confusion matrix; disease identification; image interpretation; pneumonia; artificial intelligence (AI); deep learning (DL); paediatric pneumonia; chest radiograph; computer-aided detection (CAD); cumulative; radiation dose; acute tonsillitis; shear wave elastography; stiffness; pediatric; magnetic resonance imaging; infection; neck; emergency medicine

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