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20162024
most citedSolving ill-posed inverse problems using iterative deep neural networks

532 citations

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Showing 2017 · stat.APShow all

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stat.AP2017★ 21 cited

Bayesian uncertainty quantification in linear models for diffusion MRI

Jens Sjölund, Anders Eklund, Evren Özarslan +3

Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue microstructure. By fitting a model to the dMRI signal it is possible to derive various quantitative features. Se…