Différences entre les versions de « Benoît Naegel »
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| − | | ICube - | + | | ICube - IMAGeS<br /> 300 Bd Sébastien Brant<br /> BP 10413<br /> 67412 Illkirch CEDEX - France <br />Tel : + 33 (0) 3 68 85 48 56 <br /> Office : '''C230''' <br /> |
Courriel : '''b.naegel@unistra.fr'''<br /> | Courriel : '''b.naegel@unistra.fr'''<br /> | ||
[http://scholar.google.com/citations?user=yH72muEAAAAJ Google Scholar] | [http://scholar.google.com/citations?user=yH72muEAAAAJ Google Scholar] | ||
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== Description des activités == | == Description des activités == | ||
| − | <big>Research activities | + | <big>Research activities</big> |
*Mathematical morphology | *Mathematical morphology | ||
| − | **Hierarchical approaches (component- | + | **Image segmentation |
| + | **Hierarchical approaches (component-trees, component-graphs, ...) | ||
| + | **Machine learning approaches for mathematical morphology | ||
*Medical image analysis | *Medical image analysis | ||
| + | **Angiographic cerebral MRI [http://icube-vivabrain.unistra.fr/index.php/Presentation VIVABRAIN Project] | ||
| + | **Abdominal CT-scan | ||
| + | **Multimodal imaging (TEP/CT) | ||
| + | **Electronic microscopy in structural biology | ||
| + | **Deep learning | ||
| − | <big>GitHub repositories :</big> | + | <big>Teaching</big> |
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| + | *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 | ||
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| + | <big>GitHub repositories:</big> | ||
*LibTIM : image processing library in C++ under GPL License | *LibTIM : image processing library in C++ under GPL License | ||
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*component-graph : construction of the component-graph and image filtering, by extension of the component-tree concept to multivaluate images | *component-graph : construction of the component-graph and image filtering, by extension of the component-tree concept to multivaluate images | ||
**[https://github.com/bnaegel/component-graph Github repository] | **[https://github.com/bnaegel/component-graph Github repository] | ||
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== Publications == | == Publications == | ||
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Version actuelle datée du 29 janvier 2024 à 10:38
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