268 citations · 1.1k across the 40 of their papers we have counts for
3 papers · 1 filter
Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection
Mike Davies, Gilles Puy, Pierre Vandergheynst +1
Inspired by the recently proposed Magnetic Resonance Fingerprinting technique, we develop a principled compressed sensing framework for quantitative MRI. The three key components a…
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting
Mike Davies, Gilles Puy, Pierre Vandergheynst +1
Inspired by the recently proposed Magnetic Resonance Fingerprinting (MRF) technique, we develop a principled compressed sensing framework for quantitative MRI. The three key compon…
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity
Cagdas Bilen, Gilles Puy, Rémi Gribonval +1
We investigate a compressive sensing framework in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using me…