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Publications scientifiques

Large scale variational inference and experimental design for sparse generalized linear models... We show how higher-order Bayesian decision-making problems, such asoptimizing image acquisition in magnetic resonance scanners, can be addressedby querying the SLM posterior covariance, unrelated to the density's mode....
général - core.ac.uk - PDF: arxiv.org
Segmentation of mr data-images using a first-order deformable spline curve... Today, medical tomographic equipment such as ultra fast Computer Tomography (CT) and Magnetic Resonance scanners (MR) are able to provide a non-invasive method for eva..
général - core.ac.uk - PDF: citeseerx.ist.psu.edu
Magnetic resonance imaging of rectal carcinoma.... These five cases were examined using two magnetic resonance scanners....
général - core.ac.uk - PDF: www.pubmedcentral.nih.gov
Large scale bayesian inference and experimental design for sparse linear models... We show how higher-order Bayesian decision-making problems, such as optimizing image acquisition in magnetic resonance scanners, can be addressed by querying the SLM posterior covariance, unrelated to the density's mode....
général - core.ac.uk - PDF: infoscience.epfl.ch
Measurement of signal-to-noise and contrast-to-noise in the fbirn multicenter imaging study... SNR can be used to compare different magnetic resonance scanners as a measure of comparability between the systems....
général - core.ac.uk - PDF: www.pubmedcentral.nih.gov

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