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2020 – today
- 2024
[j54]Vivien Kraus
, Guillaume Dollé, Margaux Alloux, Gauthier Loron, Nathalie Bednarek, Jonathan Beck, François Rousseau, Nicolas Passat:
SLAM - A thin-client for interoperable annotation and biomedical signal handling. SoftwareX 27: 101795 (2024)- [c87]Nicolas Passat, Phuc Ngo, Yukiko Kenmochi:
Bijectivity Analysis of Finite Rotations on ℤ2: A Hierarchical Approach. DGMM 2024: 3-15 - [c86]Raoul Sallé de Chou, Mohamed Ali Srir, Laurent Najman, Nicolas Passat, Hugues Talbot, Irene E. Vignon-Clementel:
Convex Optimization for Binary Tree-Based Transport Networks. DGMM 2024: 217-228 - [c85]Julien Mendes Forte, Nicolas Passat, Yukiko Kenmochi:
Building the Topological Tree of Shapes from the Tree of Shapes. DGMM 2024: 271-285 - [c84]Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. DGMM 2024: 312-324 - [c83]Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-Scale Component-Trees for Enhanced Representation in Multiplex Immunohistochemistry Imaging. ISBI 2024: 1-5 - [i2]Pierre Rougé, Pierre-Henri Conze, Nicolas Passat, Odyssée Merveille:
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning. CoRR abs/2404.01765 (2024) - 2023
- [j53]Bertrand Kerautret, Phuc Ngo, Nicolas Passat, Hugues Talbot, Clara Jaquet:
OpenCCO: An Implementation of Constrained Constructive Optimization for Generating 2D and 3D Vascular Trees. Image Process. Line 13: 258-279 (2023) - [j52]Nicolas Passat, Julien Mendes Forte, Yukiko Kenmochi:
Morphological Hierarchies: A Unifying Framework with New Trees. J. Math. Imaging Vis. 65(5): 718-753 (2023) - [c82]Mounir Lahlouh, Yasmina Chenoune, Raphaël Blanc, Michel Piotin, S. Escalard, R. Fahed, Jérôme Szewczyk, Nicolas Passat:
Automated Aortic Anatomy Analysis: from Image to Clinical Indicators. EMBC 2023: 1-5 - [i1]Pierre Rougé, Nicolas Passat, Odyssée Merveille:
Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction. CoRR abs/2307.11603 (2023) - 2022
- [j51]Nicolas Passat, Phuc Ngo, Yukiko Kenmochi, Hugues Talbot:
Homotopic Affine Transformations in the 2D Cartesian Grid. J. Math. Imaging Vis. 64(7): 786-806 (2022) - [j50]Jonas Lamy, Thibault Pelletier, Guillaume Lienemann, Benoît Magnin, Bertrand Kerautret, Nicolas Passat, Julien Finet, Antoine Vacavant:
The 3D Slicer RVXLiverSegmentation plug-in for interactive liver anatomy reconstruction from medical images. J. Open Source Softw. 7(73): 3920 (2022) - [j49]Jonas Lamy, Odyssée Merveille, Bertrand Kerautret, Nicolas Passat:
A Benchmark Framework for Multiregion Analysis of Vesselness Filters. IEEE Trans. Medical Imaging 41(12): 3649-3662 (2022) - [c81]Nicolas Passat, Yukiko Kenmochi:
A Topological Tree of Shapes. DGMM 2022: 221-235 - [c80]Xiaowen Liang, Aïcha Ben Zemzem, Sébastien Almagro, Jean-Charles Boisson, Luiz Angelo Steffenel, Timm Weitkamp, Laurent Debelle, Nicolas Passat:
Mouse Arterial Wall Imaging and Analysis from Synchrotron X-Ray Microtomography. ICIP 2022: 1731-1735 - [c79]Mounir Lahlouh, Yasmina Chenoune, Raphaël Blanc, Jérôme Szewczyk, Nicolas Passat:
Aortic Arch Anatomy Characterization from MRA: A CNN-Based Segmentation Approach. ISBI 2022: 1-5 - 2021
- [j48]Jimmy Francky Randrianasoa, Pierre Cettour-Janet, Camille Kurtz, Eric Desjardin, Pierre Gançarski, Nathalie Bednarek, François Rousseau, Nicolas Passat:
Supervised quality evaluation of binary partition trees for object segmentation. Pattern Recognit. 111: 107667 (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) - [j46]Jimmy Francky Randrianasoa, Camille Kurtz, Eric Desjardin, Nicolas Passat:
AGAT: Building and evaluating binary partition trees for image segmentation. SoftwareX 16: 100855 (2021) - [c78]Nicolas Passat, Phuc Ngo, Yukiko Kenmochi:
Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes. DGMM 2021: 189-201 - [c77]Phuc Ngo, Nicolas Passat, Yukiko Kenmochi:
Quasi-Regularity Verification For 2d Polygonal Objects Based On Medial Axis Analysis. ICIP 2021: 1584-1588 - [c76]Diana Lucia Farfan Cabrera, Éloïse Grossiord, Nicolas Gogin, Dimitri Papathanassiou, Nicolas Passat:
Analysis Of Lymph Node Tumor Features In Pet/Ct For Segmentation. ISBI 2021: 588-592 - [c75]Jonas Lamy, Bertrand Kerautret, Odyssée Merveille, Nicolas Passat:
Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters. RRPR 2021: 121-135 - 2020
- [j45]Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine 120: 103755 (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) - [j43]Alexandre Morimitsu, Nicolas Passat, Wonder Alexandre Luz Alves, Ronaldo Fumio Hashimoto:
Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognit. Lett. 135: 30-37 (2020) - [j42]Nicolas Passat, Camille Kurtz, Antoine Vacavant:
Editorial - Virtual Special Issue: "Hierarchical Representations: New Results and Challenges for Image Analysis". Pattern Recognit. Lett. 138: 201-203 (2020) - [c74]Jonas Lamy, Odyssée Merveille, Bertrand Kerautret, Nicolas Passat, Antoine Vacavant:
Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging. ICPR 2020: 3528-3535 - [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
2010 – 2019
- 2019
- [j41]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. 77 (2019) - [j40]Pierre Cettour-Janet, Clément Cazorla, Vaïa Machairas, Quentin Delannoy, Nathalie Bednarek, François Rousseau, Etienne Decencière, Nicolas Passat:
Watervoxels. Image Process. Line 9: 317-328 (2019) - [j39]Phuc Ngo, Nicolas Passat, Yukiko Kenmochi, Isabelle Debled-Rennesson:
Geometric Preservation of 2D Digital Objects Under Rigid Motions. J. Math. Imaging Vis. 61(2): 204-223 (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) - [c72]Nicolas Passat, Yukiko Kenmochi, Phuc Ngo, Kacper Pluta:
Rigid Motions in the Cubic Grid: A Discussion on Topological Issues. DGCI 2019: 127-140 - [c71]Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau:
Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. EMBC 2019: 6553-6556 - [c70]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI 2019: 991-994 - [c69]Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, Isabelle Bloch, Nicolas Passat, François Rousseau:
Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing. ISMM 2019: 471-482 - [c68]Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, Nathalie Bednarek, François Rousseau, Nicolas Passat:
Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study. ISMM 2019: 483-495 - [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
- [j35]Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, François Rousseau:
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. Comput. Medical Imaging Graph. 70: 73-82 (2018) - [j34]Odyssée Merveille, Hugues Talbot, Laurent Najman, Nicolas Passat:
Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 304-317 (2018) - [j33]Jimmy Francky Randrianasoa, Camille Kurtz, Eric Desjardin, Nicolas Passat:
Binary Partition Tree construction from multiple features for image segmentation. Pattern Recognit. 84: 237-250 (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 - [c66]Phuc Ngo, Nicolas Passat, Yukiko Kenmochi, Isabelle Debled-Rennesson:
Convexity invariance of voxel objects under rigid motions. ICPR 2018: 1157-1162 - [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 - [c64]Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Isabelle Debled-Rennesson:
Discrete Regular Polygons for Digital Shape Rigid Motion via Polygonization. RRPR 2018: 55-70 - 2017
- [j32]Phuc Ngo, Yukiko Kenmochi, Akihiro Sugimoto, Hugues Talbot, Nicolas Passat:
Discrete rigid registration: A local graph-search approach. Discret. Appl. Math. 216: 461-481 (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) - [j30]Kacper Pluta, Pascal Romon, Yukiko Kenmochi, Nicolas Passat:
Bijective Digitized Rigid Motions on Subsets of the Plane. J. Math. Imaging Vis. 59(1): 84-105 (2017) - [c63]Kacper Pluta, Pascal Romon, Yukiko Kenmochi, Nicolas Passat:
Honeycomb Geometry: Rigid Motions on the Hexagonal Grid. DGCI 2017: 33-45 - [c62]Phuc Ngo, Yukiko Kenmochi, Isabelle Debled-Rennesson, Nicolas Passat:
Convexity-Preserving Rigid Motions of 2D Digital Objects. DGCI 2017: 69-81 - [c61]Jimmy Francky Randrianasoa, Camille Kurtz, Pierre Gançarski, Eric Desjardin, Nicolas Passat:
Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation. ICIP 2017: 3874-3878 - [c60]Éloïse Grossiord, Hugues Talbot, Nicolas Passat, Michel Meignan, Laurent Najman:
Automated 3D lymphoma lesion segmentation from PET/CT characteristics. ISBI 2017: 174-178 - [c59]Nicolas Passat, Benoît Naegel, Camille Kurtz:
Implicit Component-Graph: A Discussion. ISMM 2017: 235-248 - 2016
- [c58]Kacper Pluta, Pascal Romon, Yukiko Kenmochi, Nicolas Passat:
Bijectivity Certification of 3D Digitized Rotations. CTIC 2016: 30-41 - [c57]Kacper Pluta, Pascal Romon, Yukiko Kenmochi, Nicolas Passat:
Bijective Rigid Motions of the 2D Cartesian Grid. DGCI 2016: 359-371 - [c56]Odyssée Merveille, Olivia Miraucourt, Stéphanie Salmon, Nicolas Passat, Hugues Talbot:
A variational model for thin structure segmentation based on a directional regularization. ICIP 2016: 4324-4328 - [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
- [j29]Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot:
On 2D constrained discrete rigid transformations. Ann. Math. Artif. Intell. 75(1-2): 163-193 (2015) - [j28]Benjamin Perret, Jean Cousty, Olena Tankyevych, Hugues Talbot, Nicolas Passat:
Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1162-1176 (2015) - [j27]Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille:
Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 1936-1945 (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 - [c53]Éloïse Grossiord, Hugues Talbot, Nicolas Passat, Michel Meignan, Pierre Tervé, Laurent Najman:
Hierarchies and shape-space for pet image segmentation. ISBI 2015: 1118-1121 - [c52]Jimmy Francky Randrianasoa, Camille Kurtz, Eric Desjardin, Nicolas Passat:
Multi-image Segmentation: A Collaborative Approach Based on Binary Partition Trees. ISMM 2015: 253-264 - [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 - [c50]Odyssée Merveille, Hugues Talbot, Laurent Najman, Nicolas Passat:
Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics. ISMM 2015: 633-644 - 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) - [j24]Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot:
Topology-Preserving Conditions for 2D Digital Images Under Rigid Transformations. J. Math. Imaging Vis. 49(2): 418-433 (2014) - [j23]Phuc Ngo, Nicolas Passat, Yukiko Kenmochi, Hugues Talbot:
Topology-Preserving Rigid Transformation of 2D Digital Images. IEEE Trans. Image Process. 23(2): 885-897 (2014) - [j22]Camille Kurtz, Benoît Naegel, Nicolas Passat:
Connected Filtering Based on Multivalued Component-Trees. IEEE Trans. Image Process. 23(12): 5152-5164 (2014) - [j21]Nicolas Passat:
Approches discrètes pour l'analyse d'images. Tech. Sci. Informatiques 33(1-2): 145-151 (2014) - [c49]Yukiko Kenmochi, Phuc Ngo, Hugues Talbot, Nicolas Passat:
Efficient Neighbourhood Computing for Discrete Rigid Transformation Graph Search. DGCI 2014: 99-110 - [c48]Odyssée Merveille, Hugues Talbot, Laurent Najman, Nicolas Passat:
Tubular Structure Filtering by Ranking Orientation Responses of Path Operators. ECCV (2) 2014: 203-218 - [c47]Anna Jezierska, Olivia Miraucourt, Hugues Talbot, Stéphanie Salmon, Nicolas Passat:
A non-local chan-vese model for sparse, tubular object segmentation. ICIP 2014: 907-911 - [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 - [c44]Olivia Miraucourt, Olivier Génevaux, Marcela Szopos, Marc Thiriet, Hugues Talbot, Stéphanie Salmon, Nicolas Passat:
3D CFD in Complex Vascular Systems: A Case Study. ISBMS 2014: 86-94 - 2013
- [j20]Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot:
Combinatorial structure of rigid transformations in 2D digital images. Comput. Vis. Image Underst. 117(4): 393-408 (2013) - [j19]Camille Kurtz, Pierre Gançarski, Nicolas Passat, Anne Puissant:
A hierarchical semantic-based distance for nominal histogram comparison. Data Knowl. Eng. 87: 206-225 (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) - [c43]Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot:
Sufficient Conditions for Topological Invariance of 2D Images under Rigid Transformations. DGCI 2013: 155-168 - [c42]T. A. Nguyen, Alice Dufour, Olena Tankyevych, Amir Nakib, Eric Petit, Hugues Talbot, Nicolas Passat:
Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphology. ICIP 2013: 1237-1241 - [c41]Phuc Ngo, Nicolas Passat, Yukiko Kenmochi, Hugues Talbot:
Well-composed images and rigid transformations. ICIP 2013: 3035-3039 - [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 - [c39]Alice Dufour, Christian Ronse, Joseph Baruthio, Olena Tankyevych, Hugues Talbot, Nicolas Passat:
Morphology-based cerebrovascular atlas. ISBI 2013: 1210-1214 - [c38]Olena Tankyevych, Hugues Talbot, Nicolas Passat:
Semi-connections and Hierarchies. ISMM 2013: 159-170 - [c37]Benoît Naegel, Nicolas Passat:
Towards Connected Filtering Based on Component-Graphs. ISMM 2013: 353-364 - [c36]Phuc Ngo, Akihiro Sugimoto, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot:
Discrete Rigid Transformation Graph Search for 2D Image Registration. PSIVT Workshops 2013: 228-239 - 2012
- [j17]Loïc Mazo, Nicolas Passat, Michel Couprie, Christian Ronse:
Digital Imaging: A Unified Topological Framework. J. Math. Imaging Vis. 44(1): 19-37 (2012) - [j16]Loïc Mazo, Nicolas Passat, Michel Couprie, Christian Ronse:
Topology on Digital Label Images. J. Math. Imaging Vis. 44(3): 254-281 (2012) - [j15]Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant:
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology. Pattern Recognit. 45(2): 685-706 (2012) - [j14]François Petitjean, Camille Kurtz, Nicolas Passat, Pierre Gançarski:
Spatio-temporal reasoning for the classification of satellite image time series. Pattern Recognit. Lett. 33(13): 1805-1815 (2012) - [c35]Camille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant:
A histogram semantic-based distance for multiresolution image classification. ICIP 2012: 1157-1160 - [c34]Camille Kurtz, Anne Puissant, Nicolas Passat, Pierre Gançarski:
Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images. IGARSS 2012: 1773-1776 - [c33]Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot:
Combinatorial Properties of 2D Discrete Rigid Transformations under Pixel-Invariance Constraints. IWCIA 2012: 234-248 - 2011
- [b2]Nicolas Passat:
Approches discrètes pour l'analyse d'images. University of Strasbourg, France, 2011 - [j13]Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, François Rousseau:
A non-local fuzzy segmentation method: Application to brain MRI. Pattern Recognit. 44(9): 1916-1927 (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) - [j11]Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Christophe Meyer:
Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings. IEEE Trans. Image Process. 20(8): 2135-2145 (2011) - [c32]Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, Mériam Koob, Jean-Louis Dietemann, François Rousseau:
Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints. CAIP (1) 2011: 503-511 - [c31]Loïc Mazo, Nicolas Passat, Michel Couprie, Christian Ronse:
A Unified Topological Framework for Digital Imaging. DGCI 2011: 163-174 - [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 - [c28]Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, Mériam Koob, Jean-Louis Dietemann, François Rousseau:
Segmentation of the cortex in fetal MRI using a topological model. ISBI 2011: 2045-2048 - [c27]Nicolas Passat, Benoît Naegel:
Component-Hypertrees for Image Segmentation. ISMM 2011: 284-295 - [c26]