A two-level progressive neural network that fuses multi-contrast MRI information in high-level feature space improves 4x super-resolution results over a one-step network.
Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?
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Multi-Contrast Super-Resolution MRI Through a Progressive Network
A two-level progressive neural network that fuses multi-contrast MRI information in high-level feature space improves 4x super-resolution results over a one-step network.