Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data
Magnetic Resonance in Medicine2020Vol. 84(6), pp. 3172–3191
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Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Uǧurbil, Mehmet Akçakaya
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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