Deep Learning for Medical Imaging

In the past years, Deep Learning (DL) methods have a great success in computer vision. However, medical imaging requires specific adaptations to take benefit from the full capability of such technics. Recently, we started integrating DL frameworks into our tools to address different chalenges such as image enhancement, registration, segmentation and computer-aided diagnosis.

In this field our main contributions are: i) the development of new DL methods for denoising, ii ) the development of new DL methods for registration and iii) the development of new DL methods for MRI segmentation.