SPICER: Self‐supervised learning for MRI with automatic coil sensitivity estimation and reconstruction

To introduce a novel deep model‐based architecture (DMBA), SPICER, that uses pairs of noisy and undersampled k‐space measurements of the same object to jointly train a model for MRI reconstruction and automatic coil sensitivity estimation.