347 citations · 1.3k across the 70 of their papers we have counts for
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Enhanced Compressed Sensing Recovery with Level Set Normals
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson
We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality from few measurements. The image reconstruction is done by…
Sparsity Averaging for Compressive Imaging
Rafael E. Carrillo, Jason D. McEwen, Dimitri Van De Ville +2
We discuss a novel sparsity prior for compressive imaging in the context of the theory of compressed sensing with coherent redundant dictionaries, based on the observation that nat…
Sparse regularization for fiber ODF reconstruction: from the suboptimality of and priors to
Alessandro Daducci, Dimitri Van De Ville, Jean-Philippe Thiran +1
Diffusion MRI is a well established imaging modality providing a powerful way to probe the structure of the white matter non-invasively. Despite its potential, the intrinsic long s…
Sparse image reconstruction on the sphere: implications of a new sampling theorem
J. D. McEwen, G. Puy, J. -Ph. Thiran +3
We study the impact of sampling theorems on the fidelity of sparse image reconstruction on the sphere. We discuss how a reduction in the number of samples required to represent all…
Spread spectrum magnetic resonance imaging
Gilles Puy, Jose P. Marques, Rolf Gruetter +4
We propose a novel compressed sensing technique to accelerate the magnetic resonance imaging (MRI) acquisition process. The method, coined spread spectrum MRI or simply s2MRI, cons…