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Purpose
To mitigate the problem of noisy parameter maps with high uncertainties by casting parameter mapping as a denoising task based on Deep Image Priors.
Methods
We extend the concept of denoising with Deep Image Prior (DIP) into parameter mapping by treating the output of an image‐generating network as a parametrization of tissue parameter maps. The method implicitly denoises the parameter mapping...