demo_mri_model
- deepinv.utils.demo.demo_mri_model(device)[source]
Demo MRI reconstruction model for use in relevant examples.
As a reconstruction network, we use an unrolled network (half-quadratic splitting) with a trainable denoising prior based on the DnCNN architecture, as an example of a model-based deep learning architecture from MoDL.
- Parameters:
device (str, torch.device) – device
- Return torch.nn.Module:
model
Examples using demo_mri_model
:
Self-supervised MRI reconstruction with Artifact2Artifact
Self-supervised MRI reconstruction with Artifact2Artifact
Self-supervised learning with Equivariant Imaging for MRI.
Self-supervised learning with Equivariant Imaging for MRI.