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Benoit Naegel
Benoit Naegel
Full Professor, ICube, University of Strasbourg
Verified email at unistra.fr - Homepage
Title
Cited by
Cited by
Year
Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images
B Naegel
Computerized Medical Imaging and Graphics 31 (3), 141-156, 2007
902007
Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology
A Dufour, O Tankyevych, B Naegel, H Talbot, C Ronse, J Baruthio, ...
Medical image analysis 17 (2), 147-164, 2013
812013
Grey-level hit-or-miss transforms—part I: unified theory
B Naegel, N Passat, C Ronse
Pattern Recognition 40 (2), 635-647, 2007
742007
Interactive segmentation based on component-trees
N Passat, B Naegel, F Rousseau, M Koob, JL Dietemann
Pattern Recognition 44 (10-11), 2539-2554, 2011
462011
Grey-level hit-or-miss transforms—Part II: Application to angiographic image processing
B Naegel, N Passat, C Ronse
Pattern Recognition 40 (2), 648-658, 2007
452007
Component-trees and multivalued images: Structural properties
N Passat, B Naegel
Journal of Mathematical Imaging and Vision 49 (1), 37-50, 2014
402014
Segmentation using vector-attribute filters: methodology and application to dermatological imaging
B Naegel, N Passat, N Boch, M Kocher
International Symposium on Mathematical Morphology (ISMM) 1, 239-250, 2007
382007
A document binarization method based on connected operators
B Naegel, L Wendling
Pattern Recognition Letters 31 (11), 1251-1259, 2010
342010
Component-trees and multi-value images: A comparative study
B Naegel, N Passat
International Symposium on Mathematical Morphology and Its Applications to …, 2009
342009
Comparison of discrete curvature estimators and application to corner detection
B Kerautret, JO Lachaud, B Naegel
International Symposium on Visual Computing, 710-719, 2008
312008
Connected filtering based on multivalued component-trees
C Kurtz, B Naegel, N Passat
IEEE Transactions on Image Processing 23 (12), 5152-5164, 2014
272014
Cerebrovascular network segmentation of MRA images with deep learning
P Sanchesa, C Meyer, V Vigon, B Naegel
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
242019
An extension of component-trees to partial orders
N Passat, B Naegel
2009 16th IEEE International Conference on Image Processing (ICIP), 3981-3984, 2009
242009
Detection of lobular structures in normal breast tissue
G Apou, NS Schaadt, B Naegel, G Forestier, R Schönmeyer, F Feuerhake, ...
Computers in biology and medicine 74, 91-102, 2016
232016
Towards connected filtering based on component-graphs
B Naegel, N Passat
International Symposium on Mathematical Morphology and Its Applications to …, 2013
212013
Component-hypertrees for image segmentation
N Passat, B Naegel
International Symposium on Mathematical Morphology and Its Applications to …, 2011
192011
Segmentation of complex images based on component-trees: Methodological tools
B Caldairou, B Naegel, N Passat
International Symposium on Mathematical Morphology and Its Applications to …, 2009
192009
Using grey scale hit-or-miss transform for segmenting the portal network of the liver
B Naegell, C Ronse, L Soler
Mathematical Morphology: 40 Years On, 429-440, 2005
172005
2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO)
O Merveille, B Naegel, H Talbot, L Najman, N Passat
Image Processing On Line 7, 246-261, 2017
162017
SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithm
B Naegel, A Cernicanu, JN Hyacinthe, M Tognolini, JP Vallée
Medical Image Analysis 13 (4), 598-608, 2009
162009
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