Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI

Author:

Al-masni Mohammed A.,Lee Seul,Yi Jaeuk,Kim Sewook,Gho Sung-Min,Choi Young Hun,Kim Dong-Hyun

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference40 articles.

1. MoDL: Model-based deep learning architecture for inverse problems;Aggarwal;IEEE Trans. Med. Imaging,2019

2. Toward quantifying the prevalence, severity, and cost associated with patient motion during clinical mr examinations;Andre;J. Am. Coll. Radiol.,2015

3. Unsupervised adversarial correction of rigid mr motion artifacts;Armanious,2020

4. Automatic correction of motion artifacts in magnetic resonance images using an entropy focus criterion;Atkinson;IEEE Trans. Med. Imaging,1997

5. Retrospective motion correction of MR images using prior-assisted deep learning;Chatterjee,2020

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