Benoît Naegel serves as Full Professor at the University of Strasbourg within the ICube research institute, specifically leading activities in the IMAGeS (Images, Modeling, Learning, Geometry and Statistics) team. His office is located at 300 Bd Sébastien Brant, BP 10413, 67412 Illkirch CEDEX, France. His research spans mathematical morphology with specialization in image segmentation techniques, particularly hierarchical approaches using component-trees and component-graphs. He integrates machine learning methodologies into traditional morphological operations, with strong application focus in medical imaging domains including angiographic cerebral MRI (VIVABRAIN Project), abdominal CT scans, PET/CT multimodal imaging, and electronic microscopy for structural biology. His recent work shows increasing incorporation of deep learning techniques. Professor Naegel teaches across multiple academic levels: Computer Vision and Machine Learning at Master I3D in Computer Science; Image Processing and Mathematical Morphology at Masters OTG, I3D, IRIV, and Healthtech programs; System Programming at L2 Computer Science; and Graph Theory/Image Processing at BUT levels. He maintains active research software development through GitHub repositories including LibTIM (C++ image processing library) and component-graph implementation tools. His research output shows consistent focus on geometric and statistical approaches to image analysis, with recent emphasis on centerline detection methodologies applicable to vascular structures as evidenced by the 2024 PhD proposal supervised with Adrien Krähenbühl. The work demonstrates progression from traditional mathematical morphology toward hybrid approaches incorporating machine learning.
