Alleviating class-wise gradient imbalance for pulmonary airway segmentation

H Zheng, Y Qin, Y Gu, F Xie, J Yang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Automated airway segmentation is a prerequisite for pre-operative diagnosis and intra-
operative navigation for pulmonary intervention. Due to the small size and scattered spatial …

Vision–kinematics interaction for robotic-assisted bronchoscopy navigation

Y Gu, C Gu, J Yang, J Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Endobronchial intervention is increasingly used as a minimally invasive means for the
treatment of pulmonary diseases. In order to acquire the position of bronchoscopy, vision …

Context-aware depth and pose estimation for bronchoscopic navigation

M Shen, Y Gu, N Liu, GZ Yang - IEEE Robotics and Automation …, 2019 - ieeexplore.ieee.org
Endobronchial intervention is increasingly used as a minimally invasive means of lung
intervention. Vision-based localization approaches are often sensitive to image artifacts in …

Offsetnet: Deep learning for localization in the lung using rendered images

J Sganga, D Eng, C Graetzel… - … conference on robotics …, 2019 - ieeexplore.ieee.org
Navigating surgical tools in the dynamic and tortuous anatomy of the lung's airways requires
accurate, real-time localization of the tools with respect to the preoperative scan of the …

Generative localization with uncertainty estimation through video-CT data for bronchoscopic biopsy

C Zhao, M Shen, L Sun, GZ Yang - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Robot-assisted endobronchial intervention requires accurate localization based on both
intra-and pre-operative data. Most existing methods achieve this by registering 2D videos …

BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation

J Borrego-Carazo, C Sanchez, D Castells-Rufas… - Computer Methods and …, 2023 - Elsevier
Background and objective: Recent advances in neural networks and temporal image
processing have provided new results and opportunities for vision-based bronchoscopy …

Landmark based bronchoscope localization for needle insertion under respiratory deformation

I Fried, J Hoelscher, JA Akulian, S Pizer… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Bronchoscopy is currently the least invasive method for definitively diagnosing lung cancer,
which kills more people in the United States than any other form of cancer. Successfully …

Autonomous driving in the lung using deep learning for localization

J Sganga, D Eng, C Graetzel, DB Camarillo - arXiv preprint arXiv …, 2019 - arxiv.org
Lung cancer is the leading cause of cancer-related death worldwide, and early diagnosis is
critical to improving patient outcomes. To diagnose cancer, a highly trained pulmonologist …

Evolutionarily optimized electromagnetic sensor measurements for robust surgical navigation

X Luo, C Shi, HQ Zeng, HC Ewurum, Y Wan… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Miniaturized electromagnetic sensors are increasingly introduced to navigate surgical
instruments to anatomical targets during minimally invasive procedures, such as endoscopic …

Multisource Differential Fusion Driven Monocular Endoscope Hybrid 3-D Tracking for Advanced Endoscopic Navigation Surgery

X Luo, J Chen, S Zheng - IEEE Transactions on Visualization …, 2024 - ieeexplore.ieee.org
Surgical navigation systems involve various technologies of segmentation, calibration,
registration, tracking, and visualization. These systems aim to superimpose multisource …