Magnetic Resonance Imaging
Computed Tomography
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1School of Mathematics and Computer Science, Gannan Normal University/Key Laboratory of Jiangxi Province for Numerical Simulation and Emulation Techniques/Ganzhou Key Laboratory of Computational Imaging, Ganzhou 341000, China.
This study introduces a novel deep learning method for faster Magnetic Resonance Imaging (MRI) reconstruction. The new approach significantly enhances image quality by reducing artifacts in parallel MRI data.
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