11 citations · 11 across the 5 of their papers we have counts for
6 papers
Action-Conditioned World Model for Goal Plane Guidance in Robotic Neck Ultrasound
Siqi Fan, Mingcong Chen, Ran Liu +6
Ultrasound examinations typically follow specific scanning protocols that require navigating through an ordered sequence of anatomical landmarks and target imaging planes. We prese…
Learning-based Hierarchical Tracheal Anatomy Understanding from Sparse Surgical Demonstration Annotations for Ultrasound Robots
Hiu Ching Cheung, Wenchao Yue, Zhengran Han +4
Tracheostomy requires precise localization of the tracheal incision site; however, conventional manual palpation is subjective and often unreliable, while ultrasound utility remain…
USPilot: An Embodied Robotic Assistant Ultrasound System with Large Language Model Enhanced Graph Planner
Mingcong Chen, Siqi Fan, Guanglin Cao +2
In the era of Large Language Models (LLMs), embodied artificial intelligence presents transformative opportunities for robotic manipulation tasks. Ultrasound imaging, a widely used…
Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images
Yimeng Geng, Gaofeng Meng, Mingcong Chen +4
Accurate identification of arteries and veins in ultrasound images is crucial for vascular examinations and interventions in robotics-assisted surgeries. However, current methods f…
Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy
Jian Chen, Mingcong Chen, Qingxiang Zhao +8
Traditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study i…
DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic Surgery
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang +2
Precisely determining the contact force during safe interaction in Minimally Invasive Robotic Surgery (MIRS) is still an open research challenge. Inspired by post-operative qualita…