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An Application of Generative Adversarial Networks for Super Resolution Medical Imaging
Acquiring High Resolution (HR) Magnetic Resonance (MR) images requires the patient to remain still for long periods of time, which causes patient discomfort and increases the probability of motion induced image artifacts.
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