7 citations · 8 across the 5 of their papers we have counts for
5 papers · 1 filter
PICO: Projection-Informed Consistency Optimisation for 6DoF Surgical Tool Pose Estimation
Lucy Fothergill, Pietro Valdastri, Dominic Jones +1
Purpose: Accurate 6 DoF pose estimation of surgical tools is critical for automa- tion, robotic proprioception, and safe interaction with the tissue operated on. Kinematics-based a…
TTDF: A Two-Stage Framework for Reliable Surgical Phase Transition Detection
Yushi Guo, Pietro Valdastri, Duygu Sarikaya
Reliable workflow transition detection is important for context-aware surgical assistance and downstream decision support. However, online surgical phase recognizers primarily focu…
Surg-InvNeRF: Invertible NeRF for 3D tracking and reconstruction in surgical vision
Gerardo Loza, Junlei Hu, Dominic Jones +2
We proposed a novel test-time optimisation (TTO) approach framed by a NeRF-based architecture for long-term 3D point tracking. Most current methods in point tracking struggle to ob…
NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
Tianle Zeng, Junlei Hu, Gerardo Loza Galindo +4
Computer vision-based technologies significantly enhance surgical automation by advancing tool tracking, detection, and localization. However, Current data-driven approaches are da…
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation
Haozheng Xu, Alistair Weld, Chi Xu +16
Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods…