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Performance characterization of a novel deep learning-based MR image reconstruction pipeline
A novel deep learning-based magnetic resonance imaging reconstruction pipeline was designed to address fundamental image quality limitations of conventional reconstruction to provide high-resolution, low-noise MR images.
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction
The two element network combinations were evaluated for the four possible image-k-space domain configurations: a) W-net II, b) W-net KK, c) W-net IK, and d) W-net KI were evaluated.
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