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Review: Noise and artifact reduction for MRI using deep learning
For several years, numerous attempts have been made to reduce noise and artifacts in MRI.
Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver
Methods: A multi-channel convolutional neural network (MARC) based method is proposed for reducing the motion artifacts and blurring caused by respiratory motion in images obtained via DCE-MRI of the liver.
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