An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training
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Large medical imaging data sets are becoming increasingly available. A common challenge in these data sets is to ensure that each sample meets minimum quality requirements devoid of significant artefacts. Despite a wide range of existing automatic methods havi... ...
