Orateur
Maria Vakalopoulou
(Centralesupélec, Université Paris-Saclay)
Description
Deep learning methods have a very important role in medical imaging and it had gain a lot of attention the recent years. Currently, the community is working towards the development of large deep learning models that capture complex relations of the data and can address different tasks in a holistic way. In this talk, we will discuss about recent foundation models in medical imaging and we will focus on the opportunities and challenges of such algorithms as well as recent ways to tailored them on medical data.
