MEDL-Net: A model-based neural network for MRI reconstruction with enhanced deep learned regularizers.

In this study, a more efficient model-based deep network was proposed to reconstruct MR images. The experimental results indicate that the proposed method improves reconstruction performance with fewer cascades, which alleviates the large demand for GPU memory.