4 papers
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
Riqiang Gao, Florin C. Ghesu, Simon Arberet +5
In contemporary radiotherapy planning (RTP), a key module leaf sequencing is predominantly addressed by optimization-based approaches. In this paper, we propose a novel deep reinfo…
Cardiac ultrasound simulation for autonomous ultrasound navigation
Abdoul Aziz Amadou, Laura Peralta, Paul Dryburgh +11
Ultrasound is well-established as an imaging modality for diagnostic and interventional purposes. However, the image quality varies with operator skills as acquiring and interpreti…
ConTrack: Contextual Transformer for Device Tracking in X-ray
Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy +2
Device tracking is an important prerequisite for guidance during endovascular procedures. Especially during cardiac interventions, detection and tracking of guiding the catheter ti…
AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation
Young-Ho Kim, Èric Lluch, Gulsun Mehmet +2
Endovascular guidewire manipulation is essential for minimally-invasive clinical applications (Percutaneous Coronary Intervention (PCI), Mechanical thrombectomy techniques for acut…