Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning

We study how much information classical statistical estimators hold about underlying random variables in myelin water imaging, and show that input layer regularization with automated hyperparameter tuning can outperform copious deep learning alone.