Reconstruction of MRI from undersampled k-spaces of double-contrast volume acquisitions using deep neural networks
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Magnetic Resonance Image (MRI) reconstruction from undersampled k-space using Deep Neural Networks (DNNs) has been extensively investigated. Undersampling accelerates the MRI acquisition process while addressing challenges such as motion artifact, signal decay... ...
