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State-of-the-art semi-supervised domain generalization (SSDG) methods crumble when faced with the real-world challenge of long-tailed class distributions, but IMaX offers a simple, effective fix.
Unlock anatomical correspondence in medical images without manual landmark annotation: Mask-HybridGNet learns consistent landmark associations directly from pixel masks.
