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Grey-level hit-or-miss transforms—Part I: Unified theory

 Benoît Naegel , Nicolas Passat , Christian Ronse
Pattern Recognition, 2007, 40 (2), pp.635-647. ⟨10.1016/j.patcog.2006.06.004⟩
Article dans une revue hal-01694418v1
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An extension of component-trees to partial orders

 Nicolas Passat , Benoît Naegel
International Conference on Image Processing (ICIP), 2009, Cairo, Egypt. pp.3981-3984, ⟨10.1109/ICIP.2009.5413807⟩
Communication dans un congrès hal-01695031v1
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Detection of lobular structures in normal breast tissue

 Grégory Apou , Nadine S. Schaadt , Benoît Naegel , Germain Forestier , Ralf Schönmeyer , et al.
Computers in Biology and Medicine, 2016, 74, pp.91-102. ⟨10.1016/j.compbiomed.2016.05.004⟩
Article dans une revue hal-01321053v1
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Shape-based analysis on component-graphs for multivalued image processing

 Eloïse Grossiord , Benoît Naegel , Hugues Talbot , Laurent Najman , Nicolas Passat
Mathematical Morphology - Theory and Applications, 2019, 3 (1), pp.45-70. ⟨10.1515/mathm-2019-0003⟩
Article dans une revue hal-01695384v3
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Interactive 3D brain vessel segmentation from an example

 Alice Dufour , Nicolas Passat , Benoît Naegel , Joseph Baruthio
International Symposium on Biomedical Imaging (ISBI), 2011, Chicago, United States. pp.1121-1124, ⟨10.1109/ISBI.2011.5872598⟩
Communication dans un congrès hal-01695036v1

Document binarization based on connected operators

 Benoît Naegel , Laurent Wendling
ICDAR'09: Tenth International Conference on Document Analysis and Recognition, Jul 2009, Barcelona, Spain. pp.316-320, ⟨10.1109/ICDAR.2009.42⟩
Communication dans un congrès inria-00412961v1
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Matching filtering by region-based attributes on hierarchical structures for image co-segmentation

 Francisco Javier Alvarez Padilla , Barbara Romaniuk , Benoît Naegel , Stéphanie Servagi-Vernat , Dimitri Papathanassiou , et al.
International Conference on Image Processing (ICIP), 2018, Athens, Greece. pp.131-135, ⟨10.1109/ICIP.2018.8451384⟩
Communication dans un congrès hal-01706566v1

Multi-Scale Component-Tree: An Hierarchical Representation of Sparse Objects

 Romain Perrin , Aurelie Leborgne , Nicolas Passat , Benoit Naegel , Cédric Wemmert
International Conference on Discrete Geometry and Mathematical Morphology (DGMM), Florence, Italy, avril 2024, Apr 2024, Florence, Italy
Communication dans un congrès hal-04467056v1
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Shape-based analysis on component-graphs for multivalued image processing

 Eloïse Grossiord , Benoît Naegel , Hugues Talbot , Nicolas Passat , Laurent Najman
International Symposium on Mathematical Morphology (ISMM), 2015, Reykjavik, Iceland. pp.446-457, ⟨10.1007/978-3-319-18720-4_38⟩
Communication dans un congrès hal-01168812v1
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L'arbre des coupes multi-échelles pour une meilleure représentation dans l'imagerie immunohistochimique multiplex

 Romain Perrin , Aurélie Leborgne , Nicolas Passat , Benoît Naegel , Cédric Wemmert
Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), Mar 2024, Grenoble, France
Poster de conférence hal-04440939v1

Fast and interpretable unsupervised domain adaptation for FIB-SEM cell segmentation

 Alexandre Stenger , Luc Vedrenne , Patrick Schultz , Sylvain Faisan , Étienne Baudrier , et al.
International Symposium on Biomedical Imaging (ISBI), Carthagena, Colombia, avril 2023, Apr 2023, Carthagena, Colombia
Communication dans un congrès hal-04017099v1
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Implicit component-graph: A discussion

 Nicolas Passat , Benoît Naegel , Camille Kurtz
International Symposium on Mathematical Morphology (ISMM), 2017, Fontainebleau, France. pp.235-248, ⟨10.1007/978-3-319-57240-6_19⟩
Communication dans un congrès hal-01695076v1

Predicting the available space for liver transplantation in cirrhotic patients: a computed tomography-based volumetric study

 Pietro Addeo , Benoit Naegel , Pierre de Mathelin , Chloé Paul , Francois Faitot , et al.
Hepatology international, 2021, ⟨10.1007/s12072-021-10187-6⟩
Article dans une revue hal-03265126v1
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Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT

 Francisco Javier Alvarez Padilla , Barbara Romaniuk , Benoît Naegel , Stéphanie Servagi-Vernat , David Morland , et al.
International Symposium on Biomedical Imaging (ISBI), 2018, Washington, United States. pp.163-167, ⟨10.1109/ISBI.2018.8363546⟩
Communication dans un congrès hal-01695078v1
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Segmentation of axillary and supraclavicular tumoral lymph nodes in PET/CT: A hybrid CNN/component-tree approach

 Diana Lucia Farfan Cabrera , Nicolas Gogin , David Morland , Benoît Naegel , Dimitri Papathanassiou , et al.
International Conference on Pattern Recognition (ICPR), 2020, Milan (virtuel), Italy. pp.6672-6679, ⟨10.1109/ICPR48806.2021.9412343⟩
Communication dans un congrès hal-02963814v1
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Attribute-filtering and knowledge extraction for vessel segmentation

 Benoît Caldairou , Nicolas Passat , Benoît Naegel
International Symposium on Visual Computing (ISVC), 2010, Las Vegas, United States. pp.13-22, ⟨10.1007/978-3-642-17289-2_2⟩
Communication dans un congrès hal-01695035v1
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Grey-level hit-or-miss transforms—Part II: Application to angiographic image processing

 Benoît Naegel , Nicolas Passat , Christian Ronse
Pattern Recognition, 2007, 40 (2), pp.648-658. ⟨10.1016/j.patcog.2006.06.011⟩
Article dans une revue hal-01694417v1
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Comparison of Discrete Curvature Estimators and Application to Corner Detection

 Bertrand Kerautret , Jacques-Olivier Lachaud , Benoît Naegel
4th International Symposium on Advances in Visual Computing - ISVC 2008, 2008, Las Vegas, United States. pp.710-719, ⟨10.1007/978-3-540-89639-5_68⟩
Communication dans un congrès inria-00345781v1
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Combining max-tree and CNN for segmentation of cellular FIB-SEM images

 Cyril Meyer , Étienne Baudrier , Patrick Schultz , Benoit Naegel
Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Aug 2022, Montreal, Canada. ⟨10.1007/978-3-031-40773-4_7⟩
Communication dans un congrès hal-04352017v1
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Towards connected filtering based on component-graphs

 Benoît Naegel , Nicolas Passat
International Symposium on Mathematical Morphology (ISMM), 2013, Uppsala, Sweden. pp.350-361, ⟨10.1007/978-3-642-38294-9_30⟩
Communication dans un congrès hal-01695064v1
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Segmentation multi-images et multicritères par arbres de coupes

 Francisco Javier Alvarez Padilla , Barbara Romaniuk , Benoît Naegel , Stéphanie Servagi-Vernat , Dimitri Papathanassiou , et al.
Journée des Jeunes Chercheurs - SFR CAP-Santé, 2017, Reims, France
Poster de conférence hal-02107341v1
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Apprentissage de la pensée informatique par des étudiants en informatique (au XXIe siècle)

 Julien Gossa , Benoît Naegel , Mathieu Zimmermann
Environnements Informatiques pour l'Apprentissage Humain (EIAH'17), Jun 2017, strasbourg, France
Communication dans un congrès hal-02971782v1

Guest Editorial: Special Issue on Discrete Geometry and Mathematical Morphology

 Étienne Baudrier , Adrien Krähenbühl , Étienne Le Quentrec , Benoit Naegel
Journal of Mathematical Imaging and Vision, 2023, 65, pp.687-688. ⟨10.1007/s10851-023-01160-z⟩
Article dans une revue hal-04217638v1
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Component-trees and multivalued images: A comparative study

 Benoît Naegel , Nicolas Passat
International Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.261-271, ⟨10.1007/978-3-642-03613-2_24⟩
Communication dans un congrès inria-00412965v1
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Segmentation of complex images based on component-trees: Methodological tools

 Benoît Caldairou , Benoît Naegel , Nicolas Passat
International Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.171-180, ⟨10.1007/978-3-642-03613-2_16⟩
Communication dans un congrès inria-00412967v1
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Segmentation using vector-attribute filters: Methodology and application to dermatological imaging

 Benoît Naegel , Nicolas Passat , Nicolas Boch , Michel Kocher
International Symposium on Mathematical Morphology (ISMM), 2007, Rio de Janeiro, Brazil. pp.239-250
Communication dans un congrès inria-00187232v1
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Component-hypertrees for image segmentation

 Nicolas Passat , Benoît Naegel
International Symposium on Mathematical Morphology (ISMM), 2011, Intra, Lake Maggiore, Italy. pp.284-295, ⟨10.1007/978-3-642-21569-8_25⟩
Communication dans un congrès hal-01695041v1
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Curvature based corner detector for discrete, noisy and multi-scale contours

 Bertrand Kerautret , Jacques-Olivier Lachaud , Benoît Naegel
International Journal of Shape Modeling, 2008, 14 (2), pp.127-145. ⟨10.1142/S0218654308001117⟩
Article dans une revue inria-00437575v1

Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations

 Michal Kowalczyk , Bertrand Kerautret , Benoît Naegel , Jonathan Weber
International Conference on Computer Vision and Graphics (ICCVG, Sep 2012, Varsovie, Poland. pp.475-482, ⟨10.1007/978-3-642-33564-8_57⟩
Communication dans un congrès hal-00761303v1
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Multicriteria 3D PET image segmentation

 Francisco Javier Alvarez Padilla , Eloïse Grossiord , Barbara Romaniuk , Benoît Naegel , Camille Kurtz , et al.
Image Processing Theory, Tools and Applications (IPTA), 2015, Orléans, France. pp.346-351, ⟨10.1109/IPTA.2015.7367162⟩
Communication dans un congrès hal-01616446v1
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