collaborators

9 papers

cs.HC2026

Feasibility of Augmented Reality-Guided Robotic Ultrasound with Cone-Beam CT Integration for Spine Procedures

Tianyu Song, Felix Pabst, Feng Li +5

Accurate needle placement in spine interventions is critical for effective pain management, yet it depends on reliable identification of anatomical landmarks and careful trajectory…

cs.RO2026

From Scanning Guidelines to Action: A Robotic Ultrasound Agent with LLM-Based Reasoning

Yuan Bi, Yiping Zhou, Pei Liu +3

Robotic ultrasound offers advantages over free-hand scanning, including improved reproducibility and reduced operator dependency. In clinical practice, US acquisition relies heavil…

cs.CV2026

Robotic Ultrasound Makes CBCT Alive

Feng Li, Ziyuan Li, Zhongliang Jiang +2

Intraoperative Cone Beam Computed Tomography (CBCT) provides a reliable 3D anatomical context essential for interventional planning. However, its static nature fails to provide con…

cs.RO2026

DAISS: Phase-Aware Imitation Learning for Dual-Arm Robotic Ultrasound-Guided Interventions

Feng Li, Pei Liu, Shiting Wang +4

Imitation learning has shown strong potential for automating complex robotic manipulation. In medical robotics, ultrasound-guided needle insertion demands precise bimanual coordina…

cs.HC2026

Comparative Study of Ultrasound Shape Completion and CBCT-Based AR Workflows for Spinal Needle Interventions

Tianyu Song, Feng Li, Felix Pabst +4

Purpose: This study compares two augmented reality (AR)-guided imaging workflows, one based on ultrasound shape completion and the other on cone-beam computed tomography (CBCT), fo…

physics.med-ph2026

Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment

Feng Li, Yuan Bi, Tianyu Song +2

Purpose: Spinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of life. In clinical practice, the…