Computer vision in the surgical operating room

F Chadebecq, F Vasconcelos, E Mazomenos… - Visceral …, 2020 - karger.com
Background: Multiple types of surgical cameras are used in modern surgical practice and
provide a rich visual signal that is used by surgeons to visualize the clinical site and make …

Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery

Y Wang, Y Long, SH Fan, Q Dou - International conference on medical …, 2022 - Springer
Reconstruction of the soft tissues in robotic surgery from endoscopic stereo videos is
important for many applications such as intra-operative navigation and image-guided robotic …

E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception

Y Long, Z Li, CH Yee, CF Ng, RH Taylor… - … Image Computing and …, 2021 - Springer
Reconstructing the scene of robotic surgery from the stereo endoscopic video is an
important and promising topic in surgical data science, which potentially supports many …

A geometry-aware deep network for depth estimation in monocular endoscopy

Y Yang, S Shao, T Yang, P Wang, Z Yang, C Wu… - … Applications of Artificial …, 2023 - Elsevier
Monocular depth estimation is critical for endoscopists to perform spatial perception and 3D
navigation of surgical sites. However, most of the existing methods ignore the important …

Deform3dgs: Flexible deformation for fast surgical scene reconstruction with gaussian splatting

S Yang, Q Li, D Shen, B Gong, Q Dou, Y ** - International Conference on …, 2024 - Springer
Tissue deformation poses a key challenge for accurate surgical scene reconstruction.
Despite yielding high reconstruction quality, existing methods suffer from slow rendering …

Endogaussian: Gaussian splatting for deformable surgical scene reconstruction

Y Liu, C Li, C Yang, Y Yuan - arxiv preprint arxiv:2401.12561, 2024 - arxiv.org
Reconstructing deformable tissues from endoscopic stereo videos is essential in many
downstream surgical applications. However, existing methods suffer from slow inference …

3D reconstruction from endoscopy images: A survey

Z Yang, J Dai, J Pan - Computers in Biology and Medicine, 2024 - Elsevier
Three-dimensional reconstruction of images acquired through endoscopes is playing a vital
role in an increasing number of medical applications. Endoscopes used in the clinic are …

Superpoint features in endoscopy

OL Barbed, F Chadebecq, J Morlana… - MICCAI Workshop on …, 2022 - Springer
There is often a significant gap between research results and applicability in routine medical
practice. This work studies the performance of well-known local features on a medical …

Adversarial domain feature adaptation for bronchoscopic depth estimation

MA Karaoglu, N Brasch, M Stollenga, W Wein… - … Image Computing and …, 2021 - Springer
Depth estimation from monocular images is an important task in localization and 3D
reconstruction pipelines for bronchoscopic navigation. Various supervised and self …

RIDE: Self-supervised learning of rotation-equivariant keypoint detection and invariant description for endoscopy

MA Karaoglu, V Markova, N Navab… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Unlike in natural images, in endoscopy there is no clear notion of an up-right camera
orientation. Endoscopic videos therefore often contain large rotational motions, which …