Compressed sensing for MRI is a technique that allows for shorter MRI exams by acquiring less measurements and still being able to retrieve the original target image via highly non-linear reconstruction techniques.
In what follows, we summarize the main activities of the group in methods for accelerated MR imaging, both on the acquisition and image reconstruction sides.
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New sampling patterns for accelerated MRI: the SPARKLING approach
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MR image reconstruction in the compressed sensing (CS) setting
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Deep learning for MR image reconstruction
