86 citations · 173 across the 12 of their papers we have counts for
12 papers
CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted Intervention
Hao Li, Xiao-Hu Zhou, Xiao-Liang Xie +3
Robot-assisted intervention has shown reduced radiation exposure to physicians and improved precision in clinical trials. However, existing vascular robotic systems follow master-s…
2020 CATARACTS Semantic Segmentation Challenge
Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi +37
Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In…
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
Chen-Chen Fan, Haiqun Xie, Liang Peng +8
Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effec…
Design of a Low-cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling
Shuangyi Wang, Kehao Wang, Hongbin Liu +1
Nasopharyngeal (NP) swab sampling is an effective approach for the diagnosis of coronavirus disease 2019 (COVID-19). Medical staffs carrying out the task of collecting NP specimens…
Robust Medical Instrument Segmentation Challenge 2019
Tobias Ross, Annika Reinke, Peter M. Full +47
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang +5
Surgical instrument segmentation is extremely important for computer-assisted surgery. Different from common object segmentation, it is more challenging due to the large illuminati…
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou +6
Semantic segmentation of surgical instruments plays a crucial role in robot-assisted surgery. However, accurate segmentation of cataract surgical instruments is still a challenge d…
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments
Zhen-Liang Ni, Gui-Bin Bian, Zeng-Guang Hou +3
The real-time segmentation of surgical instruments plays a crucial role in robot-assisted surgery. However, it is still a challenging task to implement deep learning models to do r…
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
Zhen-Liang Ni, Gui-Bin Bian, Xiao-Liang Xie +3
Segmentation for tracking surgical instruments plays an important role in robot-assisted surgery. Segmentation of surgical instruments contributes to capturing accurate spatial inf…
On Convergence Rate of Leader-Following Consensus of Linear Multi-Agent Systems with Communication Noises
Long Cheng, Yunpeng Wang, Wei Ren +2
This note further studies the previously proposed consensus protocol for linear multi-agent systems with communication noises in [15], [16]. Each agent is allowed to have its own t…
Containment Control of Multi-Agent Systems with Dynamic Leaders Based on a -Type Approach
Yunpeng Wang, Long Cheng, Wei Ren +2
This paper studies the containment control problem of multi-agent systems with multiple dynamic leaders in both the discrete-time domain and the continuous-time domain. The leaders…
Reaching a Consensus in Networks of High-Order Integral Agents under Switching Directed Topology
Long Cheng, Zeng-Guang Hou, Min Tan
Consensus problem of high-order integral multi-agent systems under switching directed topology is considered in this study. Depending on whether the agent's full state is available…