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SIGNAL RECOVERY
Sparse recovery in magnetic resonance imaging with a Markov random field prior
Augmented Lagrangian based reconstruction of non-uniformly sub-Nyquist sampled MRI data
On structured sparsity and selected applications in tomographic imaging
This work explores the potentials of structure encoding in sparse tomographic reconstructions. We are encoding spatial structure with Markov Random Field (MRF) models and employ it within Magnetic Resonance Imaging (MRI) and Quantitative Microwave …
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