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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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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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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

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

SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithm

Benoît Naegel , Alexandru Cernicanu , Jean-Noël Hyacinthe , Maurizio Tognolini , Jean-Paul Vallée
Medical Image Analysis, 2009, 13 (4), pp.598-608. ⟨10.1016/j.media.2009.05.006⟩
Article dans une revue istex inria-00412956v1
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Random walkers on morphological trees: A segmentation paradigm

Francisco Javier Alvarez Padilla , Barbara Romaniuk , Benoît Naegel , Stéphanie Servagi-Vernat , David Morland , et al.
Pattern Recognition Letters, 2021, 141, pp.16-22. ⟨10.1016/j.patrec.2020.11.001⟩
Article dans une revue hal-02426150v1
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Component-graph construction

Nicolas Passat , Benoît Naegel , Camille Kurtz
Journal of Mathematical Imaging and Vision, 2019, 61 (6), pp.798-823. ⟨10.1007/s10851-019-00872-5⟩
Article dans une revue hal-01821264v2
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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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Les arbres de coupes comme extracteur d'attributs pour la segmentation multi-images par marche aléatoire

Francisco Javier Alvarez Padilla , Barbara Romaniuk , Benoît Naegel , Stéphanie Servagi-Vernat , Dimitri Papathanassiou , et al.
GRETSI, 2017, Juan-les-Pins, France
Communication dans un congrès hal-01694736v1

Efficient Region-based Classification for Whole Slide Images

Grégory Apou , Benoît Naegel , Germain Forestier , Friedrich Feuerhake , Cédric Wemmert
International Joint Conference on Computer Vision, Imaging and Computer Graphics, 5-8 january 2017, Lisbon, Portugal, Jan 2014, Lisbonne, Portugal. pp.239-256, ⟨10.1007/978-3-319-25117-2_15⟩
Communication dans un congrès hal-03797892v1

Discrete Geometry and Mathematical Morphology

Étienne Baudrier , Benoît Naegel , Adrien Krähenbühl , Mohamed Tajine
Springer International Publishing, 13493, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-19897-7⟩
Ouvrages hal-03838997v1
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Fast segmentation for texture-based cartography of whole slide images

Grégory Apou , Benoit Naegel , Germain Forestier , Friedrich Feuerhake , Cédric Wemmert
International Conference on Computer Vision Theory and Applications (VISAPP), 05-08 January 2014, Lisbon, Portugal, Jan 2014, Lisbon, Portugal. pp.309-319, ⟨10.5220/0004687403090319⟩
Communication dans un congrès hal-04524187v1
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Joint 3D alignment-reconstruction multi-scale approach for cryo electron tomography

Hmida Rojbani , Etienne Baudrier , Benoît Naegel , Loïc Mazo , Atef Hamouda
IEEE International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic
Communication dans un congrès hal-01318729v1
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Multivalued component-tree filtering

Camille Kurtz , Benoît Naegel , Nicolas Passat
International Conference on Pattern Recognition (ICPR), 2014, Stockholm, Sweden. pp.1008-1013, ⟨10.1109/ICPR.2014.183⟩
Communication dans un congrès hal-01695070v1
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From real MRA to virtual MRA: Towards an open-source framework

Nicolas Passat , Stéphanie Salmon , Jean-Paul Armspach , Benoît Naegel , Christophe Prud'Homme , et al.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016, Athène, France. pp.335-343, ⟨10.1007/978-3-319-46726-9_39⟩
Communication dans un congrès hal-01472890v1
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Colour image filtering with component-graphs

Benoît Naegel , Nicolas Passat
International Conference on Pattern Recognition (ICPR), 2014, Stockholm, Sweden. pp.1621-1626, ⟨10.1109/ICPR.2014.287⟩
Communication dans un congrès hal-01695069v1
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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

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

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

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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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
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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
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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
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Multi-scale component-tree: A hierarchical representation of sparse objects

Romain Perrin , Aurélie Leborgne , Nicolas Passat , Benoît Naegel , Cédric Wemmert
International Conference on Discrete Geometry and Mathematical Morphology (DGMM), Apr 2024, Florence, Italy. pp.312-324, ⟨10.1007/978-3-031-57793-2_24⟩
Communication dans un congrès hal-04363690v1
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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

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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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
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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