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Forget expensive labels: CoRe-DA leverages contrastive learning and self-training to achieve state-of-the-art surgical skill assessment across diverse surgical environments without requiring target domain annotations.
Achieve robust surgical video question answering by injecting temporal awareness into parameter-efficient fine-tuning, outperforming standard PEFT methods on out-of-template questions.
Ditch the complex finite-element models: NICP offers a lightweight, accurate, and engineering-friendly alternative for deformable liver registration in surgical AR.
