AI·PhyMRI-SR reframes MRI super-resolution as a physics-aware problem that dynamically optimizes resolution-SNR trade-offs using 2D Gaussian Splatting, prior-aware representations, physics-constrained signal modeling, and meta-learning, achieving state-of-the-art on dynamic-resolution benchmarks.
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