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<scp>KIKI</scp>‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images
455
Zitationen
6
Autoren
2018
Jahr
Abstract
KIKI-net exhibits superior performance over state-of-the-art conventional algorithms in terms of restoring tissue structures and removing aliasing artifacts. The results demonstrate that KIKI-net is applicable up to a reduction factor of 3 to 4 based on variable-density Cartesian undersampling.
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