Machine learning in robotic ultrasound imaging: Challenges and perspectives

R Pramanik, R Verstappen, PR Onck - Applied Physics Reviews, 2024 - pubs.aip.org

State-of-the-art biomedical applications such as targeted drug delivery and laparoscopic
surgery are extremely challenging because of the small length scales, the requirements of …

[HTML][HTML] Review of robotic systems for thoracoabdominal puncture interventional surgery

C Wang, L Guo, J Zhu, L Zhu, C Li, H Zhu, A Song… - APL …, 2024 - pubs.aip.org

Cancer, with high morbidity and high mortality, is one of the major burdens threatening
human health globally. Intervention procedures via percutaneous puncture have been …

Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging

Z Jiang, Y Kang, Y Bi, X Li, C Li, N Navab - arXiv preprint arXiv …, 2024 - arxiv.org

Ultrasound imaging has been widely used in clinical examinations owing to the advantages
of being portable, real-time, and radiation-free. Considering the potential of extensive …

Imitation Learning for Robotic Assisted Ultrasound Examination of Deep Venous Thrombosis using Kernelized Movement Primitives

D Dall'Alba, L Busellato, TR Savarimuthu… - arXiv preprint arXiv …, 2024 - arxiv.org

Deep Vein Thrombosis (DVT) is a common yet potentially fatal condition, often leading to
critical complications like pulmonary embolism. DVT is commonly diagnosed using …

LOOC: Localizing Organs using Occupancy Networks and Body Surface Depth Images

P Henrich, F Mathis-Ullrich - arXiv preprint arXiv:2406.12407, 2024 - arxiv.org

We introduce a novel method employing occupancy networks for the precise localization of
67 anatomical structures from single depth images captured from the exterior of the human …

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