Web: http://arxiv.org/abs/2111.14259

Jan. 28, 2022, 2:10 a.m. | Hao Li, Jianan Liu

cs.CV updates on arXiv.org arxiv.org

Shortening acquisition time and reducing the motion artifacts are two of the
most essential concerns in magnetic resonance imaging. As a promising solution,
deep learning-based high-quality MR image restoration has been investigated to
generate higher resolution and motion artifact-free MR images from lower
resolution images acquired with shortened acquisition time, without costing
additional acquisition time or modifying the pulse sequences. However, numerous
problems still exist to prevent deep learning approaches from becoming
practical in the clinic environment. Specifically, most of …

3d arxiv deep deep learning learning

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