Improving accuracy and uncertainty quantification of deep learning based quantitative MRI using Monte Carlo dropout

Mehmet Yigit Avci, Ziyu Li, Qiuyun Fan +3

Dropout is conventionally used during the training phase as regularization method and for quantifying uncertainty in deep learning. We propose to use dropout during training as wel…