5 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation
Bingyu Yang, Qingyao Tian, Huai Liao +4
Continuous and accurate segmentation of airways in chest CT images is essential for preoperative planning and real-time bronchoscopy navigation. Despite advances in deep learning f…
PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization
Qingyao Tian, Zhen Chen, Huai Liao +4
Accurate bronchoscope localization is essential for pulmonary interventions, by providing six degrees of freedom (DOF) in airway navigation. However, the robustness of current visi…
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy
Qingyao Tian, Huai Liao, Xinyan Huang +5
Real-time 6 DOF localization of bronchoscopes is crucial for enhancing intervention quality. However, current vision-based technologies struggle to balance between generalization t…
BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal Reinforcement Learning
Jianbo Zhao, Hao Chen, Qingyao Tian +3
Bronchoscopy plays a significant role in the early diagnosis and treatment of lung diseases. This process demands physicians to maneuver the flexible endoscope for reaching distal…
BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization
Qingyao Tian, Huai Liao, Xinyan Huang +5
Localizing the bronchoscope in real time is essential for ensuring intervention quality. However, most existing methods struggle to balance between speed and generalization. To add…