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Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data
310
Zitationen
6
Autoren
2020
Jahr
Abstract
The proposed SSDU approach allows training of physics-guided deep learning MRI reconstruction without fully sampled data, while achieving comparable results with supervised deep learning MRI trained on fully sampled data.
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