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

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

eess.IV2021★ 3 cited

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…