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Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28117
Abstract: Calculation of sophisticated MR contrasts often requires complex mathematical modeling. Data evaluation is computationally expensive, vulnerable to artifacts, and often sensitive to fit algorithm parameters. In this work, we investigate whether neural networks can provide…
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Keywords:
uncertainty quantification;
mri;
deepcest robust;
neural networks ... See more keywords