As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

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 …

3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm
of explicit radiance field and computer graphics. This innovative approach, characterized by …

The advent of 3D Gaussian Splatting (3D-GS) techniques and their dynamic scene modeling
variants, 4D-GS, offers promising prospects for real-time rendering of dynamic surgical …

Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal
for advanced surgical systems. Existing methods either compromise on rendering quality or …

Abstract 3D reconstruction of biological tissues from a collection of endoscopic images is a
key to unlock various important downstream surgical applications with 3D capabilities …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Tissue deformation poses a key challenge for accurate surgical scene reconstruction.
Despite yielding high reconstruction quality, existing methods suffer from slow rendering …

Stereo matching is a core component in many computer vision and robotics systems.
Despite significant advances over the last decade, handling matching ambiguities in ill …

Robot-assisted minimally invasive surgery benefits from enhancing dynamic scene
reconstruction, as it improves surgical outcomes. While Neural Radiance Fields (NeRF) …