| 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 | 99 | 2007 |
| 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 | 87 | 2013 |
| Grey-level hit-or-miss transforms—part I: unified theory B Naegel, N Passat, C Ronse Pattern Recognition 40 (2), 635-647, 2007 | 84 | 2007 |
| 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 | 80 | 2019 |
| Interactive segmentation based on component-trees N Passat, B Naegel, F Rousseau, M Koob, JL Dietemann Pattern Recognition 44 (10-11), 2539-2554, 2011 | 57 | 2011 |
| 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 | 51 | 2007 |
| Segmentation using vector-attribute filters: methodology and application to dermatological imaging B Naegel, N Passat, N Boch, M Kocher Proceedings of International Symposium on Mathematical Morphology (ISMM), 10 …, 2007 | 44 | 2007 |
| Component-trees and multivalued images: Structural properties N Passat, B Naegel Journal of Mathematical Imaging and Vision 49, 37-50, 2014 | 43 | 2014 |
| Component-trees and multi-value images: A comparative study B Naegel, N Passat Mathematical Morphology and Its Application to Signal and Image Processing …, 2009 | 37 | 2009 |
| Comparison of discrete curvature estimators and application to corner detection B Kerautret, JO Lachaud, B Naegel International Symposium on Visual Computing, 710-719, 2008 | 36 | 2008 |
| Connected filtering based on multivalued component-trees C Kurtz, B Naegel, N Passat IEEE Transactions on Image Processing 23 (12), 5152-5164, 2014 | 35 | 2014 |
| Large-for-size orthotopic liver transplantation: a systematic review of definitions, outcomes, and solutions P Addeo, V Noblet, B Naegel, P Bachellier Journal of gastrointestinal surgery 24 (5), 1192-1200, 2020 | 34 | 2020 |
| A document binarization method based on connected operators B Naegel, L Wendling Pattern Recognition Letters 31 (11), 1251-1259, 2010 | 34 | 2010 |
| 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 | 28 | 2016 |
| An extension of component-trees to partial orders N Passat, B Naegel 2009 16th IEEE International Conference on Image Processing (ICIP), 3981-3984, 2009 | 25 | 2009 |
| Component-hypertrees for image segmentation N Passat, B Naegel International Symposium on Mathematical Morphology and Its Applications to …, 2011 | 23 | 2011 |
| 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 | 21 | 2017 |
| Segmentation of complex images based on component-trees: Methodological tools B Caldairou, B Naegel, N Passat Mathematical Morphology and Its Application to Signal and Image Processing …, 2009 | 21 | 2009 |
| Towards connected filtering based on component-graphs B Naegel, N Passat International Symposium on Mathematical Morphology and Its Applications to …, 2013 | 20 | 2013 |
| 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 | 20 | 2005 |
Hugues TalbotCentraleSupelec Université Paris-SaclayVerified email at centralesupelec.fr
