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)
- Electronic microscopy in structural biology
- Deep learning
Teaching
- Computer vision: Master I3D in Computer Science
- Machine learning: Master I3D in Computer Science
- Image processing and mathematical morphology: Master OTG, Master I3D, Master 2 IRIV, Master Healthtech
- System programming: L2 Computer Science, UFR of Mathématique-Informatique
- Graph theory: TPS 1A IR, BUT1 of Computer Science
- Image processing: BUT3 of Computer Science
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
Publications