[HTML][HTML] Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Accelerating surgical robotics research: A review of 10 years with the da vinci research kit
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 …
gold-standard clinical treatment option for several clinical indications. The field of robotic …
Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery
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 …
important for many applications such as intra-operative navigation and image-guided robotic …
Efficient deformable tissue reconstruction via orthogonal neural plane
Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal
for advanced surgical systems. Existing methods either compromise on rendering quality or …
for advanced surgical systems. Existing methods either compromise on rendering quality or …
Concepts and trends in autonomy for robot-assisted surgery
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 …
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
Endosurf: Neural surface reconstruction of deformable tissues with stereo endoscope videos
Reconstructing soft tissues from stereo endoscope videos is an essential prerequisite for
many medical applications. Previous methods struggle to produce high-quality geometry …
many medical applications. Previous methods struggle to produce high-quality geometry …
Surrol: An open-source reinforcement learning centered and dvrk compatible platform for surgical robot learning
Autonomous surgical execution relieves tedious routines and surgeon's fatigue. Recent
learning-based methods, especially reinforcement learning (RL) based methods, achieve …
learning-based methods, especially reinforcement learning (RL) based methods, achieve …
Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction
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 …
variants, 4D-GS, offers promising prospects for real-time rendering of dynamic surgical …
E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception
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 …
important and promising topic in surgical data science, which potentially supports many …
Bimanual regrasping for suture needles using reinforcement learning for rapid motion planning
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 …
bring efficiency into regrasping, prior work either designs a task-specific mechanism or …