D
David S. Smith
Researcher at University of Limoges
Publications - 218
Citations - 11741
David S. Smith is an academic researcher from University of Limoges. The author has contributed to research in topics: Thermal conductivity & Ceramic. The author has an hindex of 47, co-authored 205 publications receiving 10875 citations. Previous affiliations of David S. Smith include Lucideon & University of Toronto.
Papers
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Proceedings ArticleDOI
Curvelets as a sparse basis for compressed sensing magnetic resonance imaging
TL;DR: It is found that a group-sparse formulation of the reconstruction coupled with either Cohen-Daubechies-Feauveau 9/7 wavelets or curvelets provided superior results to a spatial-only regularized reconstruction.
Journal ArticleDOI
Optical method for evaluation of shrinkage in two dimensions during drying of ceramic green bodies
Siham Oummadi,Benoît Nait-Ali,Arnaud Alzina,Marie-Clotilde Paya,Jean-Marie Gaillard,David S. Smith +5 more
TL;DR: In this paper, an optical method was developed to follow shrinkage in two orthogonal directions, showing that the overall shrinkage values are identical in the two directions parallel to the pressing axis, but higher in the pressing direction.
Journal ArticleDOI
Effect of calcium phosphate addition on sintering of El-Oued sand quartz raw materials
TL;DR: In this paper, the effects of sintering temperature and amount of CP on samples proprieties were investigated and it was observed that X-ray diffracion measurements confirmed that EQS was transformed into cristobalite and tridymite phases when both Sintering Temperature and holding time were increased.
Journal ArticleDOI
Idiopathic Enlargement of the Extraocular Muscles in Young Patients: A Case Series.
TL;DR: Atypical presentations of strabismus should be investigated for systemic conditions and neuroimaging of the orbit and brain and a biopsy of the affected muscles should be considered.
Patent
Automatic detection and correction of magnetic resonance imaging data
TL;DR: In this paper, a method for processing magnetic resonance imaging (MRI) data is presented, which includes receiving MRI data comprising a plurality of k-space points and deriving the image data sets based on the MRI data, each of the image sets obtained by zeroing a different one of the plurality of points.