3 accepted papers
Cardiovascular disease treatment involves the challenging task of navigating guidewires and catheters through the vascular anatomy. This often results in prolonged procedures where both the patient and clinician are subjected to X-ray radiation. As a potential solution, Deep Reinforcement Learning m…
We present a method for estimating visual and haptic force feedback on robotic surgical systems that currently do not include significant force feedback for the operator. Our approach permits to compute contact forces between instruments and tissues without additional sensors, relying only on endosc
We present in this paper an efficient template-based method for 3D recovery of elastic shapes from a fixed monocular camera. By exploiting the object's elasticity, in contrast to isometric methods that use inextensibility constraints, a large range of deformations can be handled. Our method is expre…