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AURA's innovative approach to leveraging asymmetric annotations leads to segmentation performance that rivals traditional methods, even in the challenging context of ultra-low-field MRI.
Oracle-conditioned models can fail dramatically in real-world settings, revealing a hidden sensitivity to phase discrepancies that could jeopardize patient outcomes.
