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 in magnetic resonance imaging: A review,
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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.