Rl-tee: Autonomous probe guidance for transesophageal echocardiography based on attention-augmented deep reinforcement learning

K Li, A Li, Y Xu, H Xiong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultrasound image acquisition in conventional transesophageal echocardiography (TEE)
requires complex manual operation of the probe in the esophagus based on the …

Transformers in Material Science: Roles, Challenges, and Future Scope

N Rane - Challenges, and Future Scope (March 26, 2023), 2023 - papers.ssrn.com
This study explores the diverse applications, challenges, and future prospects of employing
vision transformers in various material science domains, including biomaterials, ceramic …

Skeleton graph-based ultrasound-ct non-rigid registration

Z Jiang, X Li, C Zhang, Y Bi… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
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 …

Style transfer enabled Sim2Real framework for efficient learning of robotic ultrasound image analysis using simulated data

K Li, X Mao, C Ye, A Li, Y Xu, MQH Meng - arXiv preprint arXiv …, 2023 - arxiv.org
Robotic ultrasound (US) systems have shown great potential to make US examinations
easier and more accurate. Recently, various machine learning techniques have been …

Style transfer-enabled Sim2Real framework for efficient learning of robotic transesophageal echocardiography using simulation

K Li, X Mao, C Ye, A Li, Y Xu, MQH Meng - Procedia Computer Science, 2023 - Elsevier
Recently, various machine learning techniques have been proposed to realize automatic
ultrasound (US) image analysis for robotic US acquisition tasks. However, obtaining large …