Matthias Grimm — accepted AI-conference papers

2021

Motion-Aware Robotic 3D Ultrasound

Zhongliang Jiang, Hanyu Wang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Ulrich Eck +4

ICRA 2021poster

Robotic three-dimensional (3D) ultrasound (US) imaging has been employed to overcome the drawbacks of traditional US examinations, such as high inter-operator variability and lack of repeatability. However, object movement remains a challenge as unexpected motion decreases the quality of the 3D comp…

Cited by 29 Source ↗Scholar ↗

2020

Automatic Normal Positioning of Robotic Ultrasound Probe Based Only on Confidence Map Optimization and Force Measurement

Zhongliang Jiang, Matthias Grimm, Mingchuan Zhou, Javier Esteban, Walter Simson, Guillaume Zahnd +1

RA-L 2020

Acquiring good image quality is one of the main challenges for fully-automatic robot-assisted ultrasound systems (RUSS). The presented method aims at overcoming this challenge for orthopaedic applications by optimizing the orientation of the robotic ultrasound (US) probe, i.e. aligning the central a

Cited by 83 Source ↗Scholar ↗