Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique

Différences entre les versions de « Benoît Naegel »

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== Description des activités ==
 
== Description des activités ==
<big>Research activities :</big>
+
<big>Research activities</big>
 
*Mathematical morphology
 
*Mathematical morphology
 
**Image segmentation
 
**Image segmentation
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**Abdominal CT-scan
 
**Abdominal CT-scan
 
**Multimodal imaging (TEP/CT)
 
**Multimodal imaging (TEP/CT)
 +
**Electronic microscopy in structural biology
 
**Deep learning
 
**Deep learning
 
<big>GitHub repositories :</big>
 
 
*LibTIM : image processing library in C++ under GPL License
 
**[https://github.com/bnaegel/libtim Github repository]
 
*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]
 
  
 
<big>Teaching</big>
 
<big>Teaching</big>
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*Graph theory: TPS 1A IR, BUT1 of Computer Science
 
*Graph theory: TPS 1A IR, BUT1 of Computer Science
 
*Image processing: BUT3 of Computer Science
 
*Image processing: BUT3 of Computer Science
 +
 +
<big>GitHub repositories:</big>
 +
 +
*LibTIM : image processing library in C++ under GPL License
 +
**[https://github.com/bnaegel/libtim Github repository]
 +
*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]
  
 
== Publications ==
 
== Publications ==
  
 
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<iframe key="papr" path="?author=naegel&title=&labo=4&team=toutes&annee1=&annee2=&display=rap+&nationalRank=toutes&project=tous&=#hideMenu" />

Version actuelle datée du 29 janvier 2024 à 10:38

Full Professor

ICube - IMAGeS
300 Bd Sébastien Brant
BP 10413
67412 Illkirch CEDEX - France
Tel : + 33 (0) 3 68 85 48 56
Office : C230

Courriel : b.naegel@unistra.fr
Google Scholar DBLP

Photo.jpg

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