Daniel Pinto dos Santos
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Brodehl, S
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Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
Predicting Survival After Transarterial Chemoembolization for Hepatocellular Carcinoma Using a Neural Network: A Pilot Study
Workflow-centred open-source fully automated lung volumetry in chest CT.
Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
Medical students' attitude towards artificial intelligence: a multicentre survey.
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