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ORCIDNicolas Passat
- > Home > Persons > Nicolas Passat
Publications
- 2024
[c83]Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. DGMM 2024: 312-324- 2021
- [j47]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) - 2020
- [j44]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) - [c73]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 - 2019
- [j38]Nicolas Passat, Benoît Naegel, Camille Kurtz:
Component-Graph Construction. J. Math. Imaging Vis. 61(6): 798-823 (2019) - [j37]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) - [j36]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) - [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
- [c67]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 - [c65]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 - 2017
- [j31]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) - [c59]Nicolas Passat, Benoît Naegel, Camille Kurtz:
Implicit Component-Graph: A Discussion. ISMM 2017: 235-248 - 2016
- [c55]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 - 2015
- [c54]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 - [c51]Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Nicolas Passat, Laurent Najman:
Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. ISMM 2015: 446-457 - 2014
- [j26]Benoît Naegel, Nicolas Passat:
Interactive Segmentation Based on Component-trees. Image Process. Line 4: 89-97 (2014) - [j25]Nicolas Passat, Benoît Naegel:
Component-Trees and Multivalued Images: Structural Properties. J. Math. Imaging Vis. 49(1): 37-50 (2014) - [j22]Camille Kurtz, Benoît Naegel, Nicolas Passat:
Connected Filtering Based on Multivalued Component-Trees. IEEE Trans. Image Process. 23(12): 5152-5164 (2014) - [c46]Camille Kurtz, Benoît Naegel, Nicolas Passat:
Multivalued Component-Tree Filtering. ICPR 2014: 1008-1013 - [c45]Benoît Naegel, Nicolas Passat:
Colour Image Filtering with Component-Graphs. ICPR 2014: 1621-1626 - 2013
- [j18]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) - [c40]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 - [c37]Benoît Naegel, Nicolas Passat:
Towards Connected Filtering Based on Component-Graphs. ISMM 2013: 353-364 - 2011
- [j12]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) - [c30]Nicolas Passat, Benoît Naegel:
Selection of Relevant Nodes from Component-Trees in Linear Time. DGCI 2011: 453-464 - [c29]Alice Dufour, Nicolas Passat, Benoît Naegel, Joseph Baruthio:
Interactive 3D brain vessel segmentation from an example. ISBI 2011: 1121-1124 - [c27]Nicolas Passat, Benoît Naegel:
Component-Hypertrees for Image Segmentation. ISMM 2011: 284-295 - 2010
- [c24]Benoît Caldairou, Nicolas Passat, Benoît Naegel:
Attribute-Filtering and Knowledge Extraction for Vessel Segmentation. ISVC (1) 2010: 13-22 - 2009
- [c20]Nicolas Passat, Benoît Naegel:
An extension of component-trees to partial orders. ICIP 2009: 3981-3984 - [c18]Benoît Caldairou, Benoît Naegel, Nicolas Passat:
Segmentation of Complex Images Based on Component-Trees: Methodological Tools. ISMM 2009: 171-180 - [c17]Benoît Naegel, Nicolas Passat:
Component-Trees and Multi-value Images: A Comparative Study. ISMM 2009: 261-271 - 2007
- [j3]Benoît Naegel, Nicolas Passat, Christian Ronse:
Grey-level hit-or-miss transforms - Part I: Unified theory. Pattern Recognit. 40(2): 635-647 (2007) - [j2]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) - [c8]Benoît Naegel, Nicolas Passat, Nicolas Boch, Michel Kocher:
Segmentation using vector-attribute filters: methodology and application to dermatological imaging. ISMM (1) 2007: 239-250
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last updated on 2024-04-17 20:39 CEST by the dblp team
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