Concatenating a Tikhonov-regularized version of the noisy MRI signal to the network input improves myelin water fraction estimation in biexponential analysis.
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Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning
Concatenating a Tikhonov-regularized version of the noisy MRI signal to the network input improves myelin water fraction estimation in biexponential analysis.