Différences entre les versions de « HealthTech Advanced Medical Image Processing: methods »
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| Ligne 8 : | Ligne 8 : | ||
* Reconstruction and inverse problems (D. Fortun, 4h) | * Reconstruction and inverse problems (D. Fortun, 4h) | ||
* Radiomics (F. Ouhmich, 4h) | * Radiomics (F. Ouhmich, 4h) | ||
| − | * Change detection (V. Noblet, 4h) | + | * Change detection (V. Noblet, 4h) [[https://seafile.unistra.fr/d/bb8ae92d950042d999ca/ Materials]] |
* NeuroImaging group study (M. Mondino, 4h) | * NeuroImaging group study (M. Mondino, 4h) | ||
* Dimensionality reduction techniques and manifold learning (S. Faisan, 4h) | * Dimensionality reduction techniques and manifold learning (S. Faisan, 4h) | ||
* Graph theory and connectivity analysis (M. Sourty, 4h) | * Graph theory and connectivity analysis (M. Sourty, 4h) | ||
* Mathematical morphology (B. Naegel, 6h) | * Mathematical morphology (B. Naegel, 6h) | ||
Version actuelle datée du 27 novembre 2023 à 23:49
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) [Materials]
- 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)