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

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

Reconstructing deformable tissues from endoscopic stereo videos is essential in many
downstream surgical applications. However, existing methods suffer from slow inference …

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 …

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 …

In the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can
significantly enhance downstream tasks and improve surgical outcomes. Neural Radiance …

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 …

Surgical 3D reconstruction is a critical area of research in robotic surgery, with recent works
adopting variants of dynamic radiance fields to achieve success in 3D reconstruction of …

Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critical role in the
diagnosis of many medical diseases, such as Arteriovenous Malformations (AVM) and …

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