SUMMARY: Damien’s work primarily deals with the use of automatic methods based on artificial intelligence under the different contexts of biomedical imaging. The main objective of his work was to investigate to what extent deep learning models (DL) can be utilised towards the solving of concrete clinical problems. In particular, Convolutional Neural Networks (CNNs) were highlighted, whose architecture is specifically adapted to the recognition and segmentation of objects in visual data such as images or videos.