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most citedSurgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models

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cs.CV2026

From Preoperative CT to Postmastoidectomy Mesh Construction: Mastoidectomy Shape Prediction for Cochlear Implant Surgery

Yike Zhang, Eduardo Davalos, Dingjie Su +2

Cochlear Implant (CI) surgery treats severe hearing loss by inserting an electrode array into the cochlea to stimulate the auditory nerve. An important step in this procedure is ma…

cs.CV2025

Monocular Marker-free Patient-to-Image Intraoperative Registration for Cochlear Implant Surgery

Yike Zhang, Eduardo Davalos Anaya, Jack H. Noble

This paper presents a novel method for monocular patient-to-image intraoperative registration, specifically designed to operate without any external hardware tracking equipment or…

cs.CV2025

Weakly-supervised Mamba-Based Mastoidectomy Shape Prediction for Cochlear Implant Surgery Using 3D T-Distribution Loss

Yike Zhang, Jack H. Noble

Cochlear implant surgery is a treatment for individuals with severe hearing loss. It involves inserting an array of electrodes inside the cochlea to electrically stimulate the audi…

cs.CV2025

SSDD-GAN: Single-Step Denoising Diffusion GAN for Cochlear Implant Surgical Scene Completion

Yike Zhang, Eduardo Davalos, Jack Noble

Recent deep learning-based image completion methods, including both inpainting and outpainting, have demonstrated promising results in restoring corrupted images by effectively fil…

cs.CV2024

DaRePlane: Direction-aware Representations for Dynamic Scene Reconstruction

Ange Lou, Benjamin Planche, Zhongpai Gao +7

Numerous recent approaches to modeling and re-rendering dynamic scenes leverage plane-based explicit representations, addressing slow training times associated with models like neu…

cs.CV20241 cited

Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models

Ange Lou, Yamin Li, Yike Zhang +1

Monocular depth estimation is crucial for tracking and reconstruction algorithms, particularly in the context of surgical videos. However, the inherent challenges in directly obtai…