Benoît Naegel

68 papers A 1B 8C 10Misc 2Journal 23Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Guided Feature Distillation for YOLO11: Efficient Detection of Pseudomonas Aeruginosa in High-Resolution Microscopy. IDA Mouhcine Ouaaziz, Dimitri Klockenbring, Joseph Lam-Weil, Cédric Wemmert, Benoît Naegel, Sarah Chouchene, Morgan Madec, Winfried Römer
2026	J	`jnl`	Unsupervised Domain Adaptation in Biomedical Images Segmentation With Guided Diffusion Generative Prior. IEEE Trans. Image Process. Alexandre Stenger, Étienne Baudrier, Nicolas Passat, Benoît Naegel
2025	Misc	`conf`	Label-constrained Unsupervised Domain Adaptation for Semantic Segmentation with Diffusion Models. ICASSP Alexandre Stenger, Étienne Baudrier, Benoît Naegel, Nicolas Passat
2025	J	`jnl`	Multivalued Component Tree: New Results and a Bridge Between Partial and Total Partition Trees. J. Math. Imaging Vis. Nicolas Passat, Romain Perrin, Jimmy Francky Randrianasoa, Camille Kurtz, Benoît Naegel
2025	J	`jnl`	RESAMPL-UDA: Leveraging foundation models for unsupervised domain adaptation in biomedical images. Pattern Recognit. Lett. Alexandre Stenger, Étienne Baudrier, Benoît Naegel, Nicolas Passat
2024	—	`conf`	Multi-Scale Component-Trees for Enhanced Representation in Multiplex Immunohistochemistry Imaging. ISBI Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert
2024	—	`conf`	Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. DGMM Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert
2024	—	`conf`	New Algorithms for Multivalued Component Trees. ICPR (23) Nicolas Passat, Romain Perrin, Jimmy Francky Randrianasoa, Camille Kurtz, Benoît Naegel
2023	—	`conf`	Fast and Interpretable Unsupervised Domain Adaptation for FIB-SEM Cell Segmentation. ISBI Alexandre Stenger, Luc Vedrenne, Patrick Schultz, Sylvain Faisan, Étienne Baudrier, Benoît Naegel
2023	J	`jnl`	Guest Editorial: Special Issue on Discrete Geometry and Mathematical Morphology. J. Math. Imaging Vis. Étienne Baudrier, Adrien Krähenbühl, Étienne Le Quentrec, Benoît Naegel
2022	—	`conf`	Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images. RRPR Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoît Naegel
2022	—	`ed.`	Discrete Geometry and Mathematical Morphology - Second International Joint Conference, DGMM 2022, Strasbourg, France, October 24-27, 2022, Proceedings DGMM Étienne Baudrier, Benoît Naegel, Adrien Krähenbühl, Mohamed Tajine
2021	—	`conf`	Automatic Multi Class Organelle Segmentation For Cellular Fib-Sem Images. ISBI Cyril Meyer, Véronique Mallouh, Danièle Spehner, Étienne Baudrier, Patrick Schultz, Benoît Naegel
2021	—	`conf`	Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. ISBI Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler
2021	J	`jnl`	Random walkers on morphological trees: A segmentation paradigm. Pattern Recognit. Lett. Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat
2020	J	`jnl`	Editorial - Special Issue: ISMM 2019. Math. Morphol. Theory Appl. Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Benjamin Perret
2020	B	`conf`	Segmentation of Axillary and Supraclavicular Tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach. ICPR Diana Lucia Farfan Cabrera, Nicolas Gogin, David Morland, Benoît Naegel, Dimitri Papathanassiou, Nicolas Passat
2020	J	`jnl`	Shaping for PET image analysis. Pattern Recognit. Lett. Éloïse Grossiord, Nicolas Passat, Hugues Talbot, Benoît Naegel, Salim Kanoun, Ilan Tal, Pierre Tervé, Soléakhéna Ken, Olivier Casasnovas, Michel Meignan, Laurent Najman
2019	—	`conf`	Cerebrovascular Network Segmentation of MRA Images With Deep Learning. ISBI Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel
2019	J	`jnl`	Component-Graph Construction. J. Math. Imaging Vis. Nicolas Passat, Benoît Naegel, Camille Kurtz
2019	—	`conf`	Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images. ISBI Arnaud Abreu, Camille Franchet, François-Xavier Frenois, Pierre Brousset, Jean-Philippe Girard, Patrice Denéfle, Benoît Naegel, Cédric Wemmert
2019	C	`ed.`	Mathematical Morphology and Its Applications to Signal and Image Processing - 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings ISMM Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret
2019	J	`jnl`	Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. Math. Morphol. Theory Appl. Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Laurent Najman, Nicolas Passat
2018	J	`jnl`	Cerebrovascular Network Segmentation on MRA Images with Deep Learning. CoRR Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel
2018	—	`conf`	Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT. ISBI Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, David Morland, Dimitri Papathanassiou, Nicolas Passat
2018	B	`conf`	Matching Filtering by Region-Based Attributes on Hierachical Structures for Image Co-Segmentation. ICIP Francisco Javier Alvarez Padilla, Barbara Romaniuk, Benoît Naegel, Stéphanie Servagi-Vernat, Dimitri Papathanassiou, Nicolas Passat
2018	B	`conf`	Model-based graph segmentation in 2-D fluorescence microsecopy images. ICPR Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert
2017	J	`jnl`	2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO). Image Process. Line Odyssée Merveille, Benoît Naegel, Hugues Talbot, Laurent Najman, Nicolas Passat
2017	C	`conf`	Implicit Component-Graph: A Discussion. ISMM Nicolas Passat, Benoît Naegel, Camille Kurtz
2017	C	`conf`	Optimal cut in minimum spanning trees for 3-D cell nuclei segmentation. ISPA Arnaud Abreu, François-Xavier Frenois, Salvatore Valitutti, Pierre Brousset, Patrice Denéfle, Benoît Naegel, Cédric Wemmert
2016	—	`conf`	Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography. VISIGRAPP (3: VISAPP) Hmida Rojbani, Étienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda
2016	J	`jnl`	Detection of lobular structures in normal breast tissue. Comput. Biol. Medicine Grégory Apou, Nadine S. Schaadt, Benoît Naegel, Germain Forestier, Ralf Schönmeyer, Friedrich Feuerhake, Cédric Wemmert, Anne Grote
2016	—	`conf`	From Real MRA to Virtual MRA: Towards an Open-Source Framework. MICCAI (3) 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
2016	—	`conf`	Joint 3D alignment-reconstruction multi-scale approach for cryo electron tomography. ISBI Hmida Rojbani, Étienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda
2015	—	`conf`	Multicriteria 3D PET image segmentation. IPTA Francisco Javier Alvarez Padilla, Éloïse Grossiord, Barbara Romaniuk, Benoît Naegel, Camille Kurtz, Hugues Talbot, Laurent Najman, Romain Guillemot, Dimitri Papathanassiou, Nicolas Passat
2015	C	`conf`	Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. ISMM Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Nicolas Passat, Laurent Najman
2015	C	`conf`	Synthesizing whole slide images. ISPA Grégory Apou, Friedrich Feuerhake, Germain Forestier, Benoît Naegel, Cédric Wemmert
2014	B	`conf`	Colour Image Filtering with Component-Graphs. ICPR Benoît Naegel, Nicolas Passat
2014	J	`jnl`	Component-Trees and Multivalued Images: Structural Properties. J. Math. Imaging Vis. Nicolas Passat, Benoît Naegel
2014	J	`jnl`	Connected Filtering Based on Multivalued Component-Trees. IEEE Trans. Image Process. Camille Kurtz, Benoît Naegel, Nicolas Passat
2014	—	`conf`	Efficient Region-based Classification for Whole Slide Images. VISIGRAPP (Selected Papers) Grégory Apou, Benoît Naegel, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert
2014	—	`conf`	Fast Segmentation for Texture-based Cartography of whole Slide Images. VISAPP (1) Grégory Apou, Benoît Naegel, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert
2014	J	`jnl`	Interactive Segmentation Based on Component-trees. Image Process. Line Benoît Naegel, Nicolas Passat
2014	B	`conf`	Multivalued Component-Tree Filtering. ICPR Camille Kurtz, Benoît Naegel, Nicolas Passat
2013	B	`conf`	A new ab initio reconstruction method from unknown-direction projections of 2D binary set. ICIP Celia Fillion, Alain Daurat, Benoît Naegel, Gabriel Frey, Étienne Baudrier
2013	J	`jnl`	Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology. Medical Image Anal. Alice Dufour, Olena Tankyevych, Benoît Naegel, Hugues Talbot, Christian Ronse, Joseph Baruthio, Petr Dokládal, Nicolas Passat
2013	—	`conf`	From 2D markers in MIP to 3D vessel segmentation: A fuzzy paradigm for connected filtering. ISBI Alice Dufour, Benoît Naegel, Christian Ronse, Joseph Baruthio, Valerie Wolff, Nicolas Passat
2013	C	`conf`	Towards Connected Filtering Based on Component-Graphs. ISMM Benoît Naegel, Nicolas Passat
2012	Misc	`conf`	Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations. ICCVG Michal Kazimierz Kowalczyk, Bertrand Kerautret, Benoît Naegel, Jonathan Weber
2011	C	`conf`	Component-Hypertrees for Image Segmentation. ISMM Nicolas Passat, Benoît Naegel
2011	—	`conf`	Interactive 3D brain vessel segmentation from an example. ISBI Alice Dufour, Nicolas Passat, Benoît Naegel, Joseph Baruthio
2011	J	`jnl`	Interactive segmentation based on component-trees. Pattern Recognit. Nicolas Passat, Benoît Naegel, François Rousseau, Mériam Koob, Jean-Louis Dietemann
2011	—	`conf`	Selection of Relevant Nodes from Component-Trees in Linear Time. DGCI Nicolas Passat, Benoît Naegel
2010	J	`jnl`	A document binarization method based on connected operators. Pattern Recognit. Lett. Benoît Naegel, Laurent Wendling
2010	—	`conf`	Attribute-Filtering and Knowledge Extraction for Vessel Segmentation. ISVC (1) Benoît Caldairou, Nicolas Passat, Benoît Naegel
2009	B	`conf`	An extension of component-trees to partial orders. ICIP Nicolas Passat, Benoît Naegel
2009	—	`conf`	Combining Shape Descriptors and Component-tree for Recognition of Ancient Graphical Drop Caps. VISAPP (2) Benoît Naegel, Laurent Wendling
2009	C	`conf`	Component-Trees and Multi-value Images: A Comparative Study. ISMM Benoît Naegel, Nicolas Passat
2009	A	`conf`	Document Binarization Based on Connected Operators. ICDAR Benoît Naegel, Laurent Wendling
2009	J	`jnl`	SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithm. Medical Image Anal. Benoît Naegel, Alexandru Cernicanu, Jean-Noël Hyacinthe, Maurizio Tognolini, Jean-Paul Vallée
2009	C	`conf`	Segmentation of Complex Images Based on Component-Trees: Methodological Tools. ISMM Benoît Caldairou, Benoît Naegel, Nicolas Passat
2008	—	`conf`	Comparison of Discrete Curvature Estimators and Application to Corner Detection. ISVC (1) Bertrand Kerautret, Jacques-Olivier Lachaud, Benoît Naegel
2008	J	`jnl`	Curvature Based Corner Detector for Discrete, Noisy and Multi-Scale Contours. Int. J. Shape Model. Bertrand Kerautret, Jacques-Olivier Lachaud, Benoît Naegel
2007	J	`jnl`	Grey-level hit-or-miss transforms - Part I: Unified theory. Pattern Recognit. Benoît Naegel, Nicolas Passat, Christian Ronse
2007	J	`jnl`	Grey-level hit-or-miss transforms - part II: Application to angiographic image processing. Pattern Recognit. Benoît Naegel, Nicolas Passat, Christian Ronse
2007	—	`conf`	Segmentation using vector-attribute filters: methodology and application to dermatological imaging. ISMM (1) Benoît Naegel, Nicolas Passat, Nicolas Boch, Michel Kocher
2007	J	`jnl`	Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images. Comput. Medical Imaging Graph. Benoît Naegel
2005	C	`conf`	Using Grey Scale Hit-Or-Miss Transform for Segmenting the Portal Network of the Liver. ISMM Benoît Naegel, Christian Ronse, Luc Soler