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ORCIDBenoît Naegel
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- affiliation: University of Strasbourg, ICube, France
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2020 – today
- 2024
[c41]Romain Perrin
, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. DGMM 2024: 312-324- [c40]Nicolas Passat, Romain Perrin, Jimmy Francky Randrianasoa, Camille Kurtz, Benoît Naegel:
New Algorithms for Multivalued Component Trees. ICPR (23) 2024: 19-35 - [c39]Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-Scale Component-Trees for Enhanced Representation in Multiplex Immunohistochemistry Imaging. ISBI 2024: 1-5 - 2023
- [j20]Étienne Baudrier, Adrien Krähenbühl, Étienne Le Quentrec, Benoît Naegel:
Guest Editorial: Special Issue on Discrete Geometry and Mathematical Morphology. J. Math. Imaging Vis. 65(5): 687-688 (2023) - [c38]Alexandre Stenger, Luc Vedrenne, Patrick Schultz, Sylvain Faisan, Étienne Baudrier, Benoît Naegel:
Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation. ISBI 2023: 1-5 - 2022
- [c37]Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoît Naegel:
Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images. RRPR 2022: 77-90 - [e2]Étienne Baudrier, Benoît Naegel, Adrien Krähenbühl, Mohamed Tajine:
Discrete Geometry and Mathematical Morphology - Second International Joint Conference, DGMM 2022, Strasbourg, France, October 24-27, 2022, Proceedings. Lecture Notes in Computer Science 13493, Springer 2022, ISBN 978-3-031-19896-0 [contents] - 2021
- [j19]Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat:
Random walkers on morphological trees: A segmentation paradigm. Pattern Recognit. Lett. 141: 16-22 (2021) - [c36]Cyril Meyer, Véronique Mallouh, Danièle Spehner, Étienne Baudrier, Patrick Schultz, Benoît Naegel:
Automatic Multi Class Organelle Segmentation For Cellular Fib-Sem Images. ISBI 2021: 668-672 - [c35]Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler:
Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. ISBI 2021: 948-952 - 2020
- [j18]Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Benjamin Perret:
Editorial - Special Issue: ISMM 2019. Math. Morphol. Theory Appl. 4(1): 159-161 (2020) - [j17]Éloïse Grossiord, Nicolas Passat, Hugues Talbot, Benoît Naegel, Salim Kanoun, Ilan Tal, Pierre Tervé, Soléakhéna Ken, Olivier Casasnovas, Michel Meignan, Laurent Najman:
Shaping for PET image analysis. Pattern Recognit. Lett. 131: 307-313 (2020) - [c34]Diana Lucia Farfan Cabrera, Nicolas Gogin, David Morland, Benoît Naegel, Dimitri Papathanassiou, Nicolas Passat:
Segmentation of Axillary and Supraclavicular Tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach. ICPR 2020: 6672-6679
2010 – 2019
- 2019
- [j16]Nicolas Passat, Benoît Naegel, Camille Kurtz:
Component-Graph Construction. J. Math. Imaging Vis. 61(6): 798-823 (2019) - [j15]Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Laurent Najman, Nicolas Passat:
Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. Math. Morphol. Theory Appl. 3(1): 45-70 (2019) - [j14]Odyssée Merveille, Benoît Naegel, Hugues Talbot, Nicolas Passat:
nD Variational Restoration of Curvilinear Structures With Prior-Based Directional Regularization. IEEE Trans. Image Process. 28(8): 3848-3859 (2019) - [c33]Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel:
Cerebrovascular Network Segmentation of MRA Images With Deep Learning. ISBI 2019: 768-771 - [c32]Arnaud Abreu, Camille Franchet, François-Xavier Frenois, Pierre Brousset, Jean-Philippe Girard, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images. ISBI 2019: 938-942 - [e1]Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret:
Mathematical Morphology and Its Applications to Signal and Image Processing - 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings. Lecture Notes in Computer Science 11564, Springer 2019, ISBN 978-3-030-20866-0 [contents] - 2018
- [c31]Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, Dimitri Papathanassiou, Nicolas Passat:
Matching Filtering by Region-Based Attributes on Hierachical Structures for Image Co-Segmentation. ICIP 2018: 131-135 - [c30]Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Model-based graph segmentation in 2-D fluorescence microsecopy images. ICPR 2018: 3844-3849 - [c29]Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat:
Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT. ISBI 2018: 163-167 - [i1]Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel:
Cerebrovascular Network Segmentation on MRA Images with Deep Learning. CoRR abs/1812.01752 (2018) - 2017
- [j13]Odyssée Merveille, Benoît Naegel, Hugues Talbot, Laurent Najman, Nicolas Passat:
2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO). Image Process. Line 7: 246-261 (2017) - [c28]Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation. ISPA 2017: 195-199 - [c27]Nicolas Passat, Benoît Naegel, Camille Kurtz:
Implicit Component-Graph: A Discussion. ISMM 2017: 235-248 - 2016
- [j12]Grégory Apou, Nadine S. Schaadt, Benoît Naegel, Germain Forestier, Ralf Schönmeyer, Friedrich Feuerhake, Cédric Wemmert, Anne Grote:
Detection of lobular structures in normal breast tissue. Comput. Biol. Medicine 74: 91-102 (2016) - [c26]Hmida Rojbani, Étienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda:
Joint 3D alignment-reconstruction multi-scale approach for cryo electron tomography. ISBI 2016: 1109-1113 - [c25]Nicolas Passat, Stéphanie Salmon, Jean-Paul Armspach, Benoît Naegel, Christophe Prud'homme, Hugues Talbot, Alexandre Fortin, Simon Garnotel, Odyssée Merveille, Olivia Miraucourt, Ranine Tarabay, Vincent Chabannes, Alice Dufour, Anna Jezierska, Olivier Balédent, Emmanuel Durand, Laurent Najman, Marcela Szopos, Alexandre Ancel, Joseph Baruthio, Maya Delbany, Sidy Fall, Gwenaël Pagé, Olivier Génevaux, Mourad Ismail, P. Loureiro de Sousa, Marc Thiriet, Julien Jomier:
From Real MRA to Virtual MRA: Towards an Open-Source Framework. MICCAI (3) 2016: 335-343 - [c24]Hmida Rojbani, Étienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda:
Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography. VISIGRAPP (3: VISAPP) 2016: 96-102 - 2015
- [c23]Francisco Javier Alvarez Padilla, Éloïse Grossiord, Barbara Romaniuk, Benoît Naegel, Camille Kurtz, Hugues Talbot, Laurent Najman, Romain Guillemot, Dimitri Papathanassiou, Nicolas Passat:
Multicriteria 3D PET image segmentation. IPTA 2015: 346-351 - [c22]Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Nicolas Passat, Laurent Najman:
Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. ISMM 2015: 446-457 - [c21]Grégory Apou, Friedrich Feuerhake, Germain Forestier, Benoît Naegel, Cédric Wemmert:
Synthesizing whole slide images. ISPA 2015: 154-159 - 2014
- [j11]Benoît Naegel, Nicolas Passat:
Interactive Segmentation Based on Component-trees. Image Process. Line 4: 89-97 (2014) - [j10]Nicolas Passat, Benoît Naegel:
Component-Trees and Multivalued Images: Structural Properties. J. Math. Imaging Vis. 49(1): 37-50 (2014) - [j9]Camille Kurtz, Benoît Naegel, Nicolas Passat:
Connected Filtering Based on Multivalued Component-Trees. IEEE Trans. Image Process. 23(12): 5152-5164 (2014) - [c20]Camille Kurtz, Benoît Naegel, Nicolas Passat:
Multivalued Component-Tree Filtering. ICPR 2014: 1008-1013 - [c19]Benoît Naegel, Nicolas Passat:
Colour Image Filtering with Component-Graphs. ICPR 2014: 1621-1626 - [c18]Grégory Apou, Benoît Naegel, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Efficient Region-based Classification for Whole Slide Images. VISIGRAPP (Selected Papers) 2014: 239-256 - [c17]Grégory Apou, Benoît Naegel, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Fast Segmentation for Texture-based Cartography of whole Slide Images. VISAPP (1) 2014: 309-319 - 2013
- [j8]Alice Dufour, Olena Tankyevych, Benoît Naegel, Hugues Talbot, Christian Ronse, Joseph Baruthio, Petr Dokládal, Nicolas Passat:
Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology. Medical Image Anal. 17(2): 147-164 (2013) - [c16]Celia Fillion, Alain Daurat, Benoît Naegel, Gabriel Frey, Étienne Baudrier:
A new ab initio reconstruction method from unknown-direction projections of 2D binary set. ICIP 2013: 1031-1035 - [c15]Alice Dufour, Benoît Naegel, Christian Ronse, Joseph Baruthio, Valerie Wolff, Nicolas Passat:
From 2D markers in MIP to 3D vessel segmentation: A fuzzy paradigm for connected filtering. ISBI 2013: 922-925 - [c14]Benoît Naegel, Nicolas Passat:
Towards Connected Filtering Based on Component-Graphs. ISMM 2013: 353-364 - 2012
- [c13]Michal Kazimierz Kowalczyk, Bertrand Kerautret, Benoît Naegel, Jonathan Weber:
Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations. ICCVG 2012: 475-482 - 2011
- [j7]Nicolas Passat, Benoît Naegel, François Rousseau, Mériam Koob, Jean-Louis Dietemann:
Interactive segmentation based on component-trees. Pattern Recognit. 44(10-11): 2539-2554 (2011) - [c12]Nicolas Passat, Benoît Naegel:
Selection of Relevant Nodes from Component-Trees in Linear Time. DGCI 2011: 453-464 - [c11]Alice Dufour, Nicolas Passat, Benoît Naegel, Joseph Baruthio:
Interactive 3D brain vessel segmentation from an example. ISBI 2011: 1121-1124 - [c10]Nicolas Passat, Benoît Naegel:
Component-Hypertrees for Image Segmentation. ISMM 2011: 284-295 - 2010
- [j6]Benoît Naegel, Laurent Wendling:
A document binarization method based on connected operators. Pattern Recognit. Lett. 31(11): 1251-1259 (2010) - [c9]Benoît Caldairou, Nicolas Passat, Benoît Naegel:
Attribute-Filtering and Knowledge Extraction for Vessel Segmentation. ISVC (1) 2010: 13-22
2000 – 2009
- 2009
- [j5]Benoît Naegel, Alexandru Cernicanu, Jean-Noël Hyacinthe, Maurizio Tognolini, Jean-Paul Vallée:
SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithm. Medical Image Anal. 13(4): 598-608 (2009) - [c8]Benoît Naegel, Laurent Wendling:
Document Binarization Based on Connected Operators. ICDAR 2009: 316-320 - [c7]Nicolas Passat, Benoît Naegel:
An extension of component-trees to partial orders. ICIP 2009: 3981-3984 - [c6]Benoît Caldairou, Benoît Naegel, Nicolas Passat:
Segmentation of Complex Images Based on Component-Trees: Methodological Tools. ISMM 2009: 171-180 - [c5]Benoît Naegel, Nicolas Passat:
Component-Trees and Multi-value Images: A Comparative Study. ISMM 2009: 261-271 - [c4]Benoît Naegel, Laurent Wendling:
Combining Shape Descriptors and Component-tree for Recognition of Ancient Graphical Drop Caps. VISAPP (2) 2009: 297-302 - 2008
- [j4]Bertrand Kerautret, Jacques-Olivier Lachaud, Benoît Naegel:
Curvature Based Corner Detector for Discrete, Noisy and Multi-Scale Contours. Int. J. Shape Model. 14(2): 127-145 (2008) - [c3]Bertrand Kerautret, Jacques-Olivier Lachaud, Benoît Naegel:
Comparison of Discrete Curvature Estimators and Application to Corner Detection. ISVC (1) 2008: 710-719 - 2007
- [j3]Benoît Naegel:
Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images. Comput. Medical Imaging Graph. 31(3): 141-156 (2007) - [j2]Benoît Naegel, Nicolas Passat, Christian Ronse:
Grey-level hit-or-miss transforms - Part I: Unified theory. Pattern Recognit. 40(2): 635-647 (2007) - [j1]Benoît Naegel, Nicolas Passat, Christian Ronse:
Grey-level hit-or-miss transforms - part II: Application to angiographic image processing. Pattern Recognit. 40(2): 648-658 (2007) - [c2]Benoît Naegel, Nicolas Passat, Nicolas Boch, Michel Kocher:
Segmentation using vector-attribute filters: methodology and application to dermatological imaging. ISMM (1) 2007: 239-250 - 2005
- [c1]Benoît Naegel, Christian Ronse, Luc Soler:
Using Grey Scale Hit-Or-Miss Transform for Segmenting the Portal Network of the Liver. ISMM 2005: 429-440
Coauthor Index
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