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 …

Accurate estimation of absolute depth from a monocular endoscope is a fundamental task
for automatic navigation systems in robotic surgery. Previous works solely rely on uni-modal …

Recent advancements toward perception and decision-making of flexible endoscopes have
shown great potential in computer-aided surgical interventions. However, owing to modeling …

Depth estimation is an important part of the perception system in autonomous driving.
Current studies often reconstruct dense depth maps from RGB images and sparse depth …

Laser ablation is an effective treatment modality. However, current laser scanners suffer from
laser defocusing when scanning targets at different depths in a 3D surgical scene. This …

Scale-aware monocular depth estimation poses a significant challenge in computer-aided
endoscopic navigation. However, existing depth estimation methods that do not consider the …

Aim: Scale-aware 3D reconstruction of the surgical scene from a monocular endoscope is
important for automatic navigation systems in robot-assisted surgery. However, traditional …

3D depth estimation in monocular endoscopic videos typically relies on self-supervised
learning due to the absence of in-body ground-truth depth labels. This learning paradigm …

Recently, various lightweight monocular depth estimation methods have been proposed.
However, most methods mainly emphasize designing complex encoders while employing …