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ORCIDAurélie Leborgne
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- affiliation: LIRS Lyon, France
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2020 – today
- 2024
[j6]Assaad Oussama Zeghina
, Aurélie Leborgne, Florence Le Ber, Antoine Vacavant:
Deep learning on spatiotemporal graphs: A systematic review, methodological landscape, and research opportunities. Neurocomputing 594: 127861 (2024)- [c12]Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-scale Component-Tree: A Hierarchical Representation for Sparse Objects. DGMM 2024: 312-324 - [c11]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 - 2023
- [c10]Assaad Oussama Zeghina, Aurélie Leborgne, Florence Le Ber, Antoine Vacavant:
Multi-SPMiner: A Deep Learning Framework for Multi-Graph Frequent Pattern Mining with Application to spatiotemporal Graphs. KES 2023: 1094-1103 - 2022
- [j5]Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah, Aurélie Leborgne, Pierre Gançarski:
Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms. Ecol. Informatics 69: 101607 (2022) - [c9]Aurélie Leborgne, Ezriel Steinberg, Laurine Lafontaine, Florence Le Ber, Antoine Vacavant:
Recherche de motifs fréquents dans des graphes spatio-temporels. EGC 2022: 471-472 - 2021
- [j4]Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, Pierre Gançarski:
Mining frequent approximate patterns in large networks. Int. J. Imaging Syst. Technol. 31(3): 1265-1279 (2021) - [c8]Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Jules Massart, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet:
Analyse de la connectivité fonctionnelle cérébrale de modèles murins par extraction de motifs fréquents dans des graphes. EGC 2021: 495-496 - [c7]Aurélie Leborgne, Marija Kirandjiska, Florence Le Ber:
Random Generation of a Locally Consistent Spatio-Temporal Graph. ICCS 2021: 155-169 - [c6]Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet:
Analysis Of Brain Functional Connectivity By Frequent Pattern Mining In Graphs. Application To The Characterization Of Murine Models. ISBI 2021: 1699-1703
2010 – 2019
- 2019
- [j3]Julien Mille, Aurélie Leborgne, Laure Tougne:
Euclidean Distance-Based Skeletons: A Few Notes on Average Outward Flux and Ridgeness. J. Math. Imaging Vis. 61(3): 310-330 (2019) - 2017
- [c5]Marie-Ange Lèbre, Khaled Arrouk, Anh-Khoa Võ Van, Aurélie Leborgne, Manuel Grand-Brochier, Pierre Beaurepaire, Antoine Vacavant, Benoît Magnin, Armand Abergel, Pascal Chabrot:
Medical Image Processing and Numerical Simulation for Digital Hepatic Parenchymal Blood Flow. SASHIMI@MICCAI 2017: 99-108 - 2016
- [b1]Aurélie Leborgne:
Appariement de formes basé sur une squelettisation hiérarchique. (Shape matching based on a hierarchical skeletonization). University of Lyon, France, 2016 - [c4]Antoine Vacavant, Aurélie Leborgne:
Robust Computations of Reeb Graphs in 2-D Binary Images. CTIC 2016: 204-215 - [c3]Aurélie Leborgne, Julien Mille, Laure Tougne:
Hierarchical skeleton for shape matching. ICIP 2016: 3603-3607 - 2015
- [j2]Isabelle Bloch, Alain Bretto, Aurélie Leborgne:
Robust similarity between hypergraphs based on valuations and mathematical morphology operators. Discret. Appl. Math. 183: 2-19 (2015) - [j1]Aurélie Leborgne, Julien Mille, Laure Tougne:
Noise-resistant Digital Euclidean Connected Skeleton for graph-based shape matching. J. Vis. Commun. Image Represent. 31: 165-176 (2015) - 2014
- [c2]Aurélie Leborgne, Julien Mille, Laure Tougne:
Extracting Noise-Resistant Skeleton on Digital Shapes for Graph Matching. ISVC (1) 2014: 293-302 - 2013
- [c1]Isabelle Bloch, Alain Bretto, Aurélie Leborgne:
Similarity between Hypergraphs Based on Mathematical Morphology. ISMM 2013: 1-12
Coauthor Index
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