Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data.

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.