Différences entre les versions de « HealthTech Advanced Medical Image Processing: methods »
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| Ligne 5 : | Ligne 5 : | ||
=== Lectures === | === 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) | ||
Version du 27 novembre 2023 à 22:26
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)