Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Robotic-assisted surgery is now well established in clinical practice and has become the
gold-standard clinical treatment option for several clinical indications. The field of robotic …

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 …

Surgical robots have been widely adopted with over 4000 robots being used in practice
daily. However, these are telerobots that are fully controlled by skilled human surgeons …

Reconstructing soft tissues from stereo endoscope videos is an essential prerequisite for
many medical applications. Previous methods struggle to produce high-quality geometry …

Autonomous surgical execution relieves tedious routines and surgeon's fatigue. Recent
learning-based methods, especially reinforcement learning (RL) based methods, achieve …

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 …

Regrasping a suture needle is an important yet time-consuming process in suturing. To
bring efficiency into regrasping, prior work either designs a task-specific mechanism or …

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

Deep Reinforcement Learning (DRL) is a viable solution for automating repetitive surgical
subtasks due to its ability to learn complex behaviours in a dynamic environment. This task …