Uncertainty Quantification in Deep MRI Reconstruction

31 Jan 2019Vineet EdupugantiMorteza MardaniShreyas VasanawalaJohn Pauly

Reliable MRI is crucial for accurate interpretation in therapeutic and diagnostic tasks. However, undersampling during MRI acquisition as well as the overparameterized and non-transparent nature of deep learning (DL) leaves substantial uncertainty about the accuracy of DL reconstruction... (read more)

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