Fête de la Science 2025 in Nice

Explore the 3IA Côte d'Azur program for the Fête de la Science 2025 in Nice!

  • Date: October 11, 2025
  • Times: 10:00 am to 7:00 pm
  • Place: Jardin Albert 1er (Nice)
10:00 am to 1:00 pm
  • Demo: "Multi-stage CNN for fast registration of 3D preoperative CTs to 2D intraoperative X-rays" by Federica Facente (3IA Ph.D. student, Chair of Pierre Berthet-Rayne)

Abstract: Minimally invasive interventions often rely on live 2D X-rays for image guidance. Yet, anatomical localization and procedural accuracy can be enhanced by spatial alignment of these intraoperative X-rays with 3D preoperative computed tomographies (CTs). This 3D/2D registration problem is typically formulated as pose estimation of the X-ray source relatively to the CT, which is done by simulating synthetic X-rays from 2D projections of CT volumes. However, the optimization-based refinement used by the state-of-the-art deep learning approach takes several seconds, thus exceeding the allowed time budget in live image guidance. We propose LXPose (Live X-ray Pose estimation), a self-supervised multi-stage 3D/2D registration framework for real-time image guidance. LXpose removes the dependency on optimization and leverages a two-stage CNN trained with a projection loss to ensure high accuracy and computational efficiency. Moreover, we apply extensive data augmentation to mitigate the domain gap between simulated and real X-rays. Overall, LXPose yields comparable 2D registration error to the state-of-the-art method, while reducing inference time to 20ms, which demonstrates the potential of LXPose for real-time clinical deployment.
   
1:00 pm to 3:00 pm
2:00 pm to 4:00 pm
3:00 pm to 7:00 pm
  • Demo by Edoardo Sarti (Researcher at Inria in ABS team, led by Frédéric Cazals - 3IA Chairholder)
4:00 pm to 6:00 pm
  • Demo: "Human emotion understanding with AI" Seongro Yoon (3IA Ph.D student, Chair of François Bremond)