A physics-regularized per-instance neural network plus finite-element refinement, with optional surgeon line prompts, reduces liver deformation registration error to 2.78 mm on a public phantom benchmark.
Data-driven intra-operative estimation of anatomical attachments for autonomous tissue dissection,
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Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and Prompts
A physics-regularized per-instance neural network plus finite-element refinement, with optional surgeon line prompts, reduces liver deformation registration error to 2.78 mm on a public phantom benchmark.