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Found 3 papers, 1 papers with code
Prospectively accelerated dynamic speech MRI at 3 Tesla using a self-navigated spiral based manifold regularized scheme
Our scheme provided improved reconstruction over the others.
Deep Generative SToRM model for dynamic imaging
Unlike the popular CNN approaches that require extensive fully-sampled training data that is not available in this setting, the parameters of the CNN generator as well as the latent vectors are jointly estimated from the undersampled measurements using stochastic gradient descent.
Dynamic imaging using a deep generative SToRM (Gen-SToRM) model
The proposed scheme brings in the spatial regularization provided by the convolutional network.
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