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cs.CV2026

Toward surface-based registration of a virtual preoperative cutting guide onto the mandible for reconstruction surgery

Yue Yang, Jie Ying Wu

Mandibular reconstruction restores facial continuity and oral function after segmental resection. Patient-specific cutting guides transfer a computed tomography (CT)-based plan to…

cs.CV2026

Marker-free deformable registration and fusion for augmented reality-guided positive margin localization during tumor resection surgery

Yue Yang, Annie Benson, Matthieu Chabanas +7

Positive margins in head and neck oncologic surgery require mapping specimen-side pathology findings to the patient resection bed. This is challenging because pathologists identify…

cs.CV2026

Markerless Augmented Reality Registration for Surgical Guidance: A Multi-Anatomy Clinical Accuracy Study

Yue Yang, Fabian Necker, Christoph Leuze +8

Purpose: In this paper, we develop and clinically evaluate a depth-only, markerless augmented reality (AR) registration pipeline on a head-mounted display, and assess accuracy acro…

cs.CV2025

Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency

Hao Li, Daiwei Lu, Jesse d'Almeida +8

Monocular depth estimation (MDE) is a critical task to guide autonomous medical robots. However, obtaining absolute (metric) depth from an endoscopy camera in surgical scenes is di…

cs.CV2025

From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction

Ayberk Acar, Mariana Smith, Lidia Al-Zogbi +14

Surgical automation requires precise guidance and understanding of the scene. Current methods in the literature rely on bulky depth cameras to create maps of the anatomy, however t…