CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout 事件

CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout arXiv:2606.00100v1 Announce Type: new Abstract: Self-supervised deep learning-based methods have shown great promise for accelerated magnetic resonance imaging (MRI) reconstruction, achieving high image quality without requiring fully sampled data for training. These methods typically partition the acquired data into two disjoint subsets to construct input-target pairs for optimizing the reconstruction network. Ho