HealthTech Advanced Medical Image Processing: methods
Révision datée du 27 novembre 2023 à 22:26 par Vincent.noblet (discussion | contributions) (→Lectures)
Objectives
To introduce advanced image processing methods applied in the specific context of biomedical imaging To implement image processing methods applied to medical images via a scientific programming language and the use of dedicated software
Lectures
- Reconstruction and inverse problems (D. Fortun, 4h)
- Radiomics (F. Ouhmich, 4h)
- Change detection (V. Noblet, 4h)
- NeuroImaging group study (M. Mondino, 4h)
- Dimensionality reduction techniques and manifold learning (S. Faisan, 4h)
- Graph theory and connectivity analysis (M. Sourty, 4h)
- Mathematical morphology (B. Naegel, 6h)