Search Results for author:
Found 6 papers, 4 papers with code
Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
Ultrasound (US) has been widely used in daily clinical practice for screening internal organs and guiding interventions.
Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations
The results demonstrated that the proposed advanced framework can robustly work on a variety of seen and unseen phantoms as well as in-vivo human carotid data.
Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation
To validate the proposed robotic US system for imaging arteries, experiments are carried out on volunteers' carotid and radial arteries.
Skeleton Graph-based Ultrasound-CT Non-rigid Registration
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, such as inter-operator variations.
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization
We validate the generalizability of the proposed domain-independent segmentation approach on several datasets with varying parameters and machines.
VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation
The results demonstrate that proposed approach can effectively and accurately navigate the probe towards the longitudinal view of vessels.
