52 citations · 98 across the 25 of their papers we have counts for
6 papers · 1 filter
Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction
Ruofeng Wei, Bin Li, Hangjie Mo +5
Estimating precise metric depth and scene reconstruction from monocular endoscopy is a fundamental task for surgical navigation in robotic surgery. However, traditional stereo matc…
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
Ziyi Wang, Bo Lu, Yonghao Long +4
Computer-assisted minimally invasive surgery has great potential in benefiting modern operating theatres. The video data streamed from the endoscope provides rich information to su…
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Yuehao Wang, Yonghao Long, Siu Hin Fan +1
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 s…
Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction
Yonghao Long, Chengkun Li, Qi Dou
With the growing popularity of robotic surgery, education becomes increasingly important and urgently needed for the sake of patient safety. However, experienced surgeons have limi…
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario
Yonghao Long, Jianfeng Cao, Anton Deguet +2
Robot-assisted surgery has become progressively more and more popular due to its clinical advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic…
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?
Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen +16
This paper presents the design and results of the "PEg TRAnsfert Workflow recognition" (PETRAW) challenge whose objective was to develop surgical workflow recognition methods based…