Development of novel devices and instruments for navigation and image-guided surgery
This project aims to develop endoscopic, robotic and artificially intelligent surgical instruments that facilitate the performance of minimally invasive surgery. We are creating new surgical navigation systems using artificial intelligence, electromagnetic fields, and the combination of both. This research group is also working on new robotic and image-guided surgery systems.
Main Project Outcomes
S. Queirós, “Right ventricular segmentation in multi-view cardiac MRI using a unified U-net model”, in E. Puyol Antón et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science, vol 13131, pp. 287-295, Springer, Cham, 2022.
“Best Paper Award in the M&Ms-2 Challenge”, by M&Ms2 Challenge organizers and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.