Benoît Naegel
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Full Professor
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Description des activités
Research activities :
- Mathematical morphology
- Image segmentation
- Hierarchical approaches (component-trees, component-graphs, ...)
- Machine learning approaches for mathematical morphology
- Medical image analysis
- Angiographic cerebral MRI VIVABRAIN Project
- Abdominal CT-scan
- Multimodal imaging (TEP/CT)
- Deep learning
GitHub repositories :
- LibTIM : image processing library in C++ under GPL License
- component-graph : construction of the component-graph and image filtering, by extension of the component-tree concept to multivaluate images
Teaching
- Discrete mathematics : DUT in Computer Science
- Machine learning : Master in Computer Science
- Image processing and mathematical morphology : DUT in Computer Science, Master in Computer Science, Master 2 IRIV
- Mobile development in Android : DUT in Computer Science, LP CDAD (Bachelor level)
- Operating systems : DUT in Computer Science, CNAM ITII
Publications