25 citations · 31 across the 8 of their papers we have counts for
8 papers
Efficient EndoNeRF Reconstruction and Its Application for Data-driven Surgical Simulation
Yuehao Wang, Bingchen Gong, Yonghao Long +2
The healthcare industry has a growing need for realistic modeling and efficient simulation of surgical scenes. With effective models of deformable surgical scenes, clinicians are a…
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
Kailing Wang, Chen Yang, Yuehao Wang +5
Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online visualization are critical for intrabody medical imaging devices such as endoscopes and capsul…
Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane
Chen Yang, Kailing Wang, Yuehao Wang +3
Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal for advanced surgical systems. Existing methods either compromise on rendering quality o…
SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation
Bingchen Gong, Yuehao Wang, Xiaoguang Han +1
Neural Radiance Fields (NeRFs) have emerged as promising digital mediums of 3D objects and scenes, sparking a surge in research to extend the editing capabilities in this domain. T…
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Chen Yang, Kailing Wang, Yuehao Wang +2
Reconstructing deformable tissues from endoscopic stereo videos in robotic surgery is crucial for various clinical applications. However, existing methods relying only on implicit…
RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes
Bingchen Gong, Yuehao Wang, Xiaoguang Han +1
Radiance fields have gradually become a main representation of media. Although its appearance editing has been studied, how to achieve view-consistent recoloring in an efficient ma…
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…
SoGCN: Second-Order Graph Convolutional Networks
Peihao Wang, Yuehao Wang, Hua Lin +1
Graph Convolutional Networks (GCN) with multi-hop aggregation is more expressive than one-hop GCN but suffers from higher model complexity. Finding the shortest aggregation range t…