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CAHAL: Clinically Applicable resolution enHAncement for Low-resolution MRI scans

cs.CV · 2026-04-20 · unverdicted · novelty 6.0

CAHAL introduces a physics-informed mixture-of-experts super-resolution network for clinical MRI that conditions on resolution and anisotropy and uses edge-penalised, Fourier, and segmentation-guided losses to reduce hallucinations compared with prior generative methods.

Gaussian vs. Real Wavefunction of Nuclear Clusters and Hypernuclei

nucl-th · 2026-06-09 · unverdicted · novelty 3.0

Realistic nuclear cluster wave functions show broader spatial distributions and non-Gaussian structures than Gaussian ansätze with matching rms radius, suggesting a mechanism to address underestimation of A=4 cluster production.

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  • CAHAL: Clinically Applicable resolution enHAncement for Low-resolution MRI scans cs.CV · 2026-04-20 · unverdicted · none · ref 277

    CAHAL introduces a physics-informed mixture-of-experts super-resolution network for clinical MRI that conditions on resolution and anisotropy and uses edge-penalised, Fourier, and segmentation-guided losses to reduce hallucinations compared with prior generative methods.