APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
MLMIR@MICCAI, pp. 36-46, 2019.
Deep learning has been successfully demonstrated in MRI reconstruction of accelerated acquisitions. However, its dependence on representative training data limits the application across different contrasts, anatomies, or image sizes. To address this limitation, we propose an unsupervised, auto-calibrated k-space completion method, based...More
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