Using Grey Scale Hit-Or-Miss Transform for Segmenting the Portal Network of the Liver. - Benoît Naegel; Christian Ronse; Luc Soler (ISMM, 2005)

Segmentation using vector-attribute filters: methodology and application to dermatological imaging. - Benoît Naegel; Nicolas Passat; Nicolas Boch; Michel Kocher (ISMM (1), 2007)

Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images. - Benoît Naegel (Comput. Medical Imaging Graph., 2007)

Grey-level hit-or-miss transforms - Part I: Unified theory. - Benoît Naegel; Nicolas Passat; Christian Ronse (Pattern Recognit., 2007)

Grey-level hit-or-miss transforms - part II: Application to angiographic image processing. - Benoît Naegel; Nicolas Passat; Christian Ronse (Pattern Recognit., 2007)

Comparison of Discrete Curvature Estimators and Application to Corner Detection. - Bertrand Kerautret; Jacques-Olivier Lachaud; Benoît Naegel (ISVC (1), 2008)

Curvature Based Corner Detector for Discrete, Noisy and Multi-Scale Contours. - Bertrand Kerautret; Jacques-Olivier Lachaud; Benoît Naegel (Int. J. Shape Model., 2008)

Document Binarization Based on Connected Operators. - Benoît Naegel; Laurent Wendling (ICDAR, 2009)

An extension of component-trees to partial orders. - Nicolas Passat; Benoît Naegel (ICIP, 2009)

Segmentation of Complex Images Based on Component-Trees: Methodological Tools. - Benoît Caldairou; Benoît Naegel; Nicolas Passat (ISMM, 2009)

Component-Trees and Multi-value Images: A Comparative Study. - Benoît Naegel; Nicolas Passat (ISMM, 2009)

Combining Shape Descriptors and Component-tree for Recognition of Ancient Graphical Drop Caps. - Benoît Naegel; Laurent Wendling (VISAPP (2), 2009)

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 Anal., 2009)

Attribute-Filtering and Knowledge Extraction for Vessel Segmentation. - Benoît Caldairou; Nicolas Passat; Benoît Naegel (ISVC (1), 2010)

A document binarization method based on connected operators. - Benoît Naegel; Laurent Wendling (Pattern Recognit. Lett., 2010)

Selection of Relevant Nodes from Component-Trees in Linear Time. - Nicolas Passat; Benoît Naegel (DGCI, 2011)

Interactive 3D brain vessel segmentation from an example. - Alice Dufour; Nicolas Passat; Benoît Naegel; Joseph Baruthio (ISBI, 2011)

Component-Hypertrees for Image Segmentation. - Nicolas Passat; Benoît Naegel (ISMM, 2011)

Interactive segmentation based on component-trees. - Nicolas Passat; Benoît Naegel; François Rousseau 002; Mériam Koob; Jean-Louis Dietemann (Pattern Recognit., 2011)

Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations. - Michal Kazimierz Kowalczyk; Bertrand Kerautret; Benoît Naegel; Jonathan Weber (ICCVG, 2012)

A new ab initio reconstruction method from unknown-direction projections of 2D binary set. - Celia Fillion; Alain Daurat; Benoît Naegel; Gabriel Frey; Étienne Baudrier (ICIP, 2013)

From 2D markers in MIP to 3D vessel segmentation: A fuzzy paradigm for connected filtering. - Alice Dufour; Benoît Naegel; Christian Ronse; Joseph Baruthio; Valerie Wolff; Nicolas Passat (ISBI, 2013)

Towards Connected Filtering Based on Component-Graphs. - Benoît Naegel; Nicolas Passat (ISMM, 2013)

Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology. - Alice Dufour; Olena Tankyevych; Benoît Naegel; Hugues Talbot; Christian Ronse; Joseph Baruthio; Petr Dokládal; Nicolas Passat (Medical Image Anal., 2013)

Multivalued Component-Tree Filtering. - Camille Kurtz; Benoît Naegel; Nicolas Passat (ICPR, 2014)

Colour Image Filtering with Component-Graphs. - Benoît Naegel; Nicolas Passat (ICPR, 2014)

Fast Segmentation for Texture-based Cartography of whole Slide Images. - Grégory Apou; Benoît Naegel; Germain Forestier; Friedrich Feuerhake; Cédric Wemmert (VISAPP (1), 2014)

Efficient Region-based Classification for Whole Slide Images. - Grégory Apou; Benoît Naegel; Germain Forestier; Friedrich Feuerhake; Cédric Wemmert (VISIGRAPP (Selected Papers), 2014)

Interactive Segmentation Based on Component-trees. - Benoît Naegel; Nicolas Passat (Image Process. Line, 2014)

Component-Trees and Multivalued Images: Structural Properties. - Nicolas Passat; Benoît Naegel (J. Math. Imaging Vis., 2014)

Connected Filtering Based on Multivalued Component-Trees. - Camille Kurtz; Benoît Naegel; Nicolas Passat (IEEE Trans. Image Process., 2014)

Multicriteria 3D PET image segmentation. - Francisco Javier Alvarez Padilla; Éloïse Grossiord; Barbara Romaniuk; Benoît Naegel; Camille Kurtz; Hugues Talbot; Laurent Najman; Romain Guillemot; Dimitri Papathanassiou; Nicolas Passat (IPTA, 2015)

Synthesizing whole slide images. - Grégory Apou; Friedrich Feuerhake; Germain Forestier; Benoît Naegel; Cédric Wemmert (ISPA, 2015)

Joint 3D alignment-reconstruction multi-scale approach for cryo electron tomography. - Hmida Rojbani; Étienne Baudrier; Benoît Naegel; Loïc Mazo; Atef Hamouda (ISBI, 2016)

From Real MRA to Virtual MRA: Towards an Open-Source Framework. - 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; et al. (MICCAI (3), 2016)

Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography. - Hmida Rojbani; Étienne Baudrier; Benoît Naegel; Loïc Mazo; Atef Hamouda (VISIGRAPP (3: VISAPP), 2016)

Detection of lobular structures in normal breast tissue. - Grégory Apou; Nadine S. Schaadt; Benoît Naegel; Germain Forestier; Ralf Schönmeyer; Friedrich Feuerhake; Cédric Wemmert; Anne Grote (Comput. Biol. Medicine, 2016)

Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation. - Arnaud Abreu; François-Xavier Frenois; Salvatore Valitutti; Pierre Brousset; Patrice Denéfle; Benoît Naegel; Cédric Wemmert (ISPA, 2017)

Implicit Component-Graph: A Discussion. - Nicolas Passat; Benoît Naegel; Camille Kurtz (ISMM, 2017)

2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO). - Odyssée Merveille; Benoît Naegel; Hugues Talbot; Laurent Najman; Nicolas Passat (Image Process. Line, 2017)

Matching Filtering by Region-Based Attributes on Hierachical Structures for Image Co-Segmentation. - Francisco Javier Alvarez Padilla; Barbara Romaniuk; Benoît Naegel; Stéphanie Servagi-Vernat; Dimitri Papathanassiou; Nicolas Passat (ICIP, 2018)

Model-based graph segmentation in 2-D fluorescence microsecopy images. - Arnaud Abreu; François-Xavier Frenois; Salvatore Valitutti; Pierre Brousset; Patrice Denéfle; Benoît Naegel; Cédric Wemmert (ICPR, 2018)

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; Dimitri Papathanassiou; Nicolas Passat (ISBI, 2018)

Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images. - Arnaud Abreu; Camille Franchet; François-Xavier Frenois; Pierre Brousset; Jean-Philippe Girard; Patrice Denéfle; Benoît Naegel; Cédric Wemmert (ISBI, 2019)

Cerebrovascular Network Segmentation of MRA Images With Deep Learning. - Pedro Sanches; Cyril Meyer; Vincent Vigon; Benoît Naegel (ISBI, 2019)

Component-Graph Construction. - Nicolas Passat; Benoît Naegel; Camille Kurtz (J. Math. Imaging Vis., 2019)

Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. - Éloïse Grossiord; Benoît Naegel; Hugues Talbot; Laurent Najman; Nicolas Passat (Math. Morphol. Theory Appl., 2019)

nD Variational Restoration of Curvilinear Structures With Prior-Based Directional Regularization. - Odyssée Merveille; Benoît Naegel; Hugues Talbot; Nicolas Passat (IEEE Trans. Image Process., 2019)

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; Nicolas Passat (ICPR, 2020)

Editorial - Special Issue: ISMM 2019. - Bernhard Burgeth; Andreas Kleefeld; Benoît Naegel; Benjamin Perret (Math. Morphol. Theory Appl., 2020)

Shaping for PET image analysis. - Éloïse Grossiord; Nicolas Passat; Hugues Talbot; Benoît Naegel; Salim Kanoun; Ilan Tal; Pierre Tervé; Soléakhéna Ken; Olivier Casasnovas; Michel Meignan; Laurent Najman (Pattern Recognit. Lett., 2020)

Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. - Adrien Heitz; Julien Weinzorn; Vincent Noblet; Benoît Naegel; Arnaud Charnoz; Fabrice Heitz; Luc Soler (ISBI, 2021)

Automatic Multi Class Organelle Segmentation For Cellular Fib-Sem Images. - Cyril Meyer; Véronique Mallouh; Danièle Spehner; Étienne Baudrier; Patrick Schultz; Benoît Naegel (ISBI, 2021)

Random walkers on morphological trees: A segmentation paradigm. - Francisco Javier Alvarez Padilla; Barbara Romaniuk; Benoît Naegel; Stéphanie Servagi-Vernat; David Morland; Dimitri Papathanassiou; Nicolas Passat (Pattern Recognit. Lett., 2021)

Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images. - Cyril Meyer; Étienne Baudrier; Patrick Schultz; Benoît Naegel (RRPR, 2022)

Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation. - Alexandre Stenger; Luc Vedrenne; Patrick Schultz; Sylvain Faisan; Étienne Baudrier; Benoît Naegel (ISBI, 2023)

Guest Editorial: Special Issue on Discrete Geometry and Mathematical Morphology. - Étienne Baudrier; Adrien Krähenbühl; Étienne Le Quentrec; Benoît Naegel (J. Math. Imaging Vis., 2023)

Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. - Romain Perrin; Aurélie Leborgne; Nicolas Passat; Benoît Naegel; Cédric Wemmert (DGMM, 2024)

New Algorithms for Multivalued Component Trees. - Nicolas Passat; Romain Perrin; Jimmy Francky Randrianasoa; Camille Kurtz; Benoît Naegel (ICPR (23), 2024)

Multi-Scale Component-Trees for Enhanced Representation in Multiplex Immunohistochemistry Imaging. - Romain Perrin; Aurélie Leborgne; Nicolas Passat; Benoît Naegel; Cédric Wemmert (ISBI, 2024)

Label-constrained Unsupervised Domain Adaptation for Semantic Segmentation with Diffusion Models. - Alexandre Stenger; Étienne Baudrier; Benoît Naegel; Nicolas Passat (ICASSP, 2025)

RESAMPL-UDA: Leveraging foundation models for unsupervised domain adaptation in biomedical images. - Alexandre Stenger; Étienne Baudrier; Benoît Naegel; Nicolas Passat (Pattern Recognit. Lett., 2025)