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Ex vivo central-airway obstruction experiments and simulations on deforming cube models demonstrate reliable and accurate reconstruction under both rigid motion and deformation, highlighting the potential of this probabilistic approach for principled, measurement-driven mesh state estimation in deformable object reconstruction.
A Bayesian approach to tissue attachment mapping reveals that informed surgical actions can significantly enhance safety and efficiency in robotic dissection.
