most citedReal-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures

8 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Learning Expert Strategy for Autonomous Robotic Endovascular Intervention via Decoupled Procedural Execution

Yanxi Chen, Tianliang Yao, Shaolong Tang +5

Endovascular interventions are high-stakes procedures requiring precise device operation within complex and tortuous vascular anatomies. Autonomous endovascular navigation has the…

cs.RO2026

Vision-Language Procedural Reasoning for Context-Aware Reward Modeling of Robotic Endovascular Guidewire Navigation

Wentong Tian, Jiyuan Zhao, Tianliang Yao +4

Robotic-assisted endovascular interventions demand accurate, stable, and context-aware guidewire navigation in complex and patient-specific vascular anatomies. Despite recent advan…

cs.RO2026

Sample-Efficient Learning with Online Expert Correction for Autonomous Catheter Steering in Endovascular Bifurcation Navigation

Hao Wang, Tianliang Yao, Bo Lu +4

Robot-assisted endovascular intervention offers a safe and effective solution for remote catheter manipulation, reducing radiation exposure while enabling precise navigation. Reinf…

cs.RO2026★ 1 cited

Vision-Based Reasoning with Topology-Encoded Graphs for Anatomical Path Disambiguation in Robot-Assisted Endovascular Navigation

Jiyuan Zhao, Zhengyu Shi, Wentong Tian +5

Robotic-assisted percutaneous coronary intervention (PCI) is constrained by the inherent limitations of 2D Digital Subtraction Angiography (DSA). Unlike physicians, who can directl…

cs.RO2026

Deep-Learning-Based Control of a Decoupled Two-Segment Continuum Robot for Endoscopic Submucosal Dissection

Yuancheng Shao, Yao Zhang, Jia Gu +7

Manual endoscopic submucosal dissection (ESD) is technically demanding, and existing single-segment robotic tools offer limited dexterity. These limitations motivate the developmen…

eess.IV2025★ 8 cited

Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures

Tianliang Yao, Zhiqiang Pei, Yong Li +2

An ever-growing incorporation of AI solutions into clinical practices enhances the efficiency and effectiveness of healthcare services. This paper focuses on guidewire tip tracking…

cs.RO2025

Real-Time 3D Guidewire Reconstruction from Intraoperative DSA Images for Robot-Assisted Endovascular Interventions

Tianliang Yao, Bingrui Li, Bo Lu +3

Accurate three-dimensional (3D) reconstruction of guidewire shapes is crucial for precise navigation in robot-assisted endovascular interventions. Conventional 2D Digital Subtracti…

cs.RO2025

Sim4EndoR: A Reinforcement Learning Centered Simulation Platform for Task Automation of Endovascular Robotics

Tianliang Yao, Madaoji Ban, Bo Lu +2

Robotic-assisted percutaneous coronary intervention (PCI) holds considerable promise for elevating precision and safety in cardiovascular procedures. Nevertheless, current systems…

cs.RO2025

Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions

Tianliang Yao, Bo Lu, Markus Kowarschik +6

Endovascular procedures have revolutionized vascular disease treatment, yet their manual execution is challenged by the demands for high precision, operator fatigue, and radiation…