Hybrid, explainable AI for medical imaging
Isabelle Bloch, professor at Télécom Paris, June 2024.
Interview with Isabelle Bloch, professor at Télécom Paris (LTCI) and Sorbonne University (LIP6), a specialist in mathematical modelling for artificial intelligence, whose research focuses on hybrid and explainable AI, with numerous applications in image interpretation in the medical field.AI is used here to help doctors interpret medical images and make diagnoses, and to facilitate therapeutic or surgical planning by visualising organs and defining areas to be irradiated or avoided…
Interviews by Isabelle Mauriac, in French with English subtitles
Hybrid, explainable AI for medical imaging
- Hybridization: towards systems that work with limited and more explicable datas
- Segmentation and recognition in medical imaging
AI for therapeutic or surgical planning based on 3D models
- Hybrid AI: taking into account the specificities of the field to guide learning
- A collaboration with Paris Necker Hospital
- Guiding surgeons through 3D modelling
- An example of the application of digital 3D models on a child
- Nerve recognition using a hybrid approach
Vidéos Michel Desnoues, Télécom Paris
