Echo-POSED learns an SO(3)×SO(3) pose representation via self-supervised equivariance to probe motion and invariance to cardiac phase from 2D slices of 3D echocardiography volumes, reporting 8.2° mean angular error in intra-patient guidance simulations.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Robotic system combines vision-based topography, stiffness sensing, and closed-loop force control with expert data replay to perform adaptive abdominal ultrasound scans and acquire 3D volumes.
citing papers explorer
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Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance
Echo-POSED learns an SO(3)×SO(3) pose representation via self-supervised equivariance to probe motion and invariance to cardiac phase from 2D slices of 3D echocardiography volumes, reporting 8.2° mean angular error in intra-patient guidance simulations.
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Visuotactile and Explicitly Force-Controlled Robotic Ultrasound for Abdominal Volumetric Reconstruction
Robotic system combines vision-based topography, stiffness sensing, and closed-loop force control with expert data replay to perform adaptive abdominal ultrasound scans and acquire 3D volumes.