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cs.CV2024
Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers
Saahil Islam, Venkatesh N. Murthy, Dominik Neumann +5
An accurate detection and tracking of devices such as guiding catheters in live X-ray image acquisitions is an essential prerequisite for endovascular cardiac interventions. This i…
cs.CV2024
Goal-conditioned reinforcement learning for ultrasound navigation guidance
Abdoul Aziz Amadou, Vivek Singh, Florin C. Ghesu +7
Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures. However, using it effectively requires extensive training du…