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Ditch the flat scene graphs: TopoOR models surgical environments as higher-order topological structures, unlocking superior performance in safety-critical tasks by preserving complex relationships and multimodal data.
Achieve 80% better shape completion for ultrasound reconstruction by implicitly modeling acoustic interactions, eliminating the need for anatomical labels during inference.
Achieve robust dual-arm robotic ultrasound-guided interventions by learning personalized expert strategies from limited demonstrations using a phase-aware imitation learning policy.
By mimicking how pathologists dynamically integrate global and cellular evidence across multiple magnifications, MMNavAgent significantly boosts WSI diagnostic performance.
Achieve autonomous robotic ultrasound examinations with RAG-RUSS, an interpretable framework that explains its actions and generalizes well even with limited training data.
