Nicolas Boutry

Publications

Article dans une revue (19)

Explaning with trees: interpreting CNNs using hierarchies Caroline Mazini Rodrigues,Nicolas Boutry,Laurent Najman Transactions of Machine Learning Research, In press Article dans une revue hal-04614933v2
Cyberattack detection through GPML: Graph Processing for Machine Learning Majed Jaber,Julien Michel,Nicolas Boutry,Pierre Parrend SoftwareX, 2025, 31, ⟨10.1016/j.softx.2025.102308⟩ Article dans une revue hal-05280132v1
Cyberattack detection through GPML: Graph Processing for Machine Learnin Majed Jaber,Julien Michel,Nicolas Boutry,Pierre Parrend SoftwareX, 2025, In press Article dans une revue hal-05213762v1
Unsupervised discovery of Interpretable Visual Concepts Caroline Mazini Rodrigues,Nicolas Boutry,Laurent Najman Information Sciences, 2024, 661, pp.120159. ⟨10.1016/j.ins.2024.120159⟩ Article dans une revue hal-04190721v3
Transforming gradient-based techniques into interpretable methods Caroline Mazini Rodrigues,Nicolas Boutry,Laurent Najman Pattern Recognition Letters, 2024, 184, pp.66-73. ⟨10.1016/j.patrec.2024.06.006⟩ Article dans une revue hal-04414672v2
Discrete Morse Functions and Watersheds Gilles Bertrand,Nicolas Boutry,Laurent Najman Journal of Mathematical Imaging and Vision, 2023, 65, pp.787--801. ⟨10.1007/s10851-023-01157-8⟩ Article dans une revue hal-03928064v3
Introducing PC n-Manifolds and P-well-composedness in Partially Ordered Sets Nicolas Boutry Journal of Mathematical Imaging and Vision, 2023, 66, pp.1--21. ⟨10.1007/s10851-023-01159-6⟩ Article dans une revue hal-04579595v1
Some equivalence relation between persistent homology and morphological dynamics Nicolas Boutry,Laurent Najman,Thierry Géraud Journal of Mathematical Imaging and Vision, 2022, 64, pp.807--824. ⟨10.1007/s10851-022-01104-z⟩ Article dans une revue hal-03676854v1
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation Tianyi Shi,Nicolas Boutry,Yongchao Xu,Thierry Géraud IEEE Transactions on Image Processing, 2022, 31, pp.2557--2569. ⟨10.1109/TIP.2022.3155954⟩ Article dans une revue hal-04579617v1
Continuous Well-Composedness Implies Digital Well-Composedness in n-D Nicolas Boutry,Rocio Gonzalez-Diaz,Laurent Najman,Thierry Géraud Journal of Mathematical Imaging and Vision, 2022, 64 (2), pp.131-150. ⟨10.1007/s10851-021-01058-8⟩ Article dans une revue hal-03575456v1
Strong Euler well-composedness Nicolas Boutry,Rocio Gonzalez-Diaz,Maria-Jose J Jimenez,Eduardo Paluzo-Hildago Journal of Combinatorial Optimization, 2021, 44 (4), pp.3038-3055. ⟨10.1007/s10878-021-00837-8⟩ Article dans une revue hal-04871345v1
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy Sharib Ali,Mariia Dmitrieva,Noha Ghatwary,Sophia Bano,Gorkem Polatet al. Medical Image Analysis, 2021, 70, pp.102002. ⟨10.1016/j.media.2021.102002⟩ Article dans une revue hal-03251181v1
Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids Nicolas Boutry,Laurent Najman,Thierry Géraud Journal of Mathematical Imaging and Vision, 2020, 62 (9), pp.1285-1333. ⟨10.1007/s10851-020-00988-z⟩ Article dans une revue hal-02990817v1
A minimum barrier distance for multivariate images with applications Minh Ôn Vũ Ngọc,Nicolas Boutry,Jonathan Fabrizio,Thierry Géraud Computer Vision and Image Understanding, 2020, 197-198, pp.102993. ⟨10.1016/j.cviu.2020.102993⟩ Article dans une revue hal-04873027v1
Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids Nicolas Boutry,Laurent Najman,Thierry Géraud Journal of Mathematical Imaging and Vision, 2020, 62 (9), pp.1256-1284. ⟨10.1007/s10851-020-00989-y⟩ Article dans une revue hal-02990810v1
Connected filters on generalized shape-Spaces Le Duy Huỳnh,Nicolas Boutry,Thierry Géraud Pattern Recognition Letters, 2019, 128, pp.348-354. ⟨10.1016/j.patrec.2019.09.018⟩ Article dans une revue hal-04871384v1
Weakly well-composed cell complexes over nD pictures Nicolas Boutry,Rocio Gonzalez-Diaz,Maria-Jose Jimenez Information Sciences, 2019, 499, pp.62-83. ⟨10.1016/j.ins.2018.06.005⟩ Article dans une revue hal-04871225v1
How to Make n-D Plain Maps defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-dual Way Nicolas Boutry,Thierry Géraud,Laurent Najman Journal of Mathematical Imaging and Vision, 2019, 61, pp.849-973. ⟨10.1007/s10851-019-00873-4⟩ Article dans une revue hal-02005579v1
A Tutorial on Well-Composedness Nicolas Boutry,Thierry Géraud,Laurent Najman Journal of Mathematical Imaging and Vision, 2018, 60 (3), pp.443-478. ⟨10.1007/s10851-017-0769-6⟩ Article dans une revue hal-01609892v2

Pré-publication, Document de travail (4)

Found in Translation: semantic approaches for enhancing AI interpretability in face verification Miriam Doh,Caroline Mazini Rodrigues,N. Boutry,L. Najman,Matei Mancaset al. 2025 Pré-publication, Document de travail hal-04864048v1
Bridging Human Concepts and Computer Vision for Explainable Face Verification Miriam Doh,Caroline Mazini Rodrigues,Nicolas Boutry,Laurent Najman,Matei Mancaset al. 2024 Pré-publication, Document de travail hal-04416562v1
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation Vũ Ngọc Minh Ôn,Yizi Chen,Nicolas Boutry,Jonathan Fabrizio,Clément Mallet 2022 Pré-publication, Document de travail hal-03725431v1
A Proof of the Tree of Shapes in n-D Thierry Géraud,Nicolas Boutry,Sébastien Crozet,Edwin Carlinet,Laurent Najman 2022 Pré-publication, Document de travail hal-03690353v1

Communication dans un congrès (31)

Spectral Graph Analysis of Bipartite Graphs for Advanced Attack Detection Majed Jaber,Pierre Parrend,Nicolas Boutry European Interdisciplinary Cybersecurity Conference (EICC25), Apr 2025, Rennes, France Communication dans un congrès hal-05038776v1
Graph-Based Spectral Analysis for Detecting Cyber Attacks Majed Jaber,Nicolas Boutry,Pierre Parrend 19th International Conference on Availability, Reliability and Security (ARES'24), Jul 2024, Vienne, Austria. pp.23, ⟨10.1145/3664476.3664498⟩ Communication dans un congrès hal-04599705v1
Spectral Analysis for Attack Detection Majed Jaber,Nicolas Boutry,Pierre Parrend RESSI (Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information), Eppe-Sauvage, France, mai 2024, May 2024, Eppe-Sauvage, France Communication dans un congrès hal-04510385v1
Structural and spectral analysis of dynamic graphs for attack detection Majed Jaber,Nicolas Boutry,Pierre Parrend PFIA/RJCIA conference, Strasbourg, France, mai 2023, May 2023, Strasbourg, France Communication dans un congrès hal-04103055v1
Towards attack detection in traffic data based on spectral graph analysis Majed Jaber,Nicolas Boutry,Pierre Parrend Complex Computational Ecosystems 2023 (CCE'23), Apr 2023, Bakou, Azerbaïdjan Communication dans un congrès hal-04103064v1
Gradients Intégrés Renforcés Caroline Mazini Rodrigues,Nicolas Boutry,Laurent Najman Explain'AI - EGC Workshop, Jan 2022, Blois, France Communication dans un congrès hal-04579609v1
Residual 3D U-Net with Localization for Brain Tumor Segmentation Marc Demoustier,Ines Khemir,Quoc Duon Nguyen,Lucien Martin-Gaffé,Nicolas Boutry International MICCAI Brainlesion Workshop, Sep 2021, virtual event, Unknown Region. pp.389--399, ⟨10.1007/978-3-031-08999-2_33⟩ Communication dans un congrès hal-04579593v1
An Efficient Cascade of U-Net-like Convolutional Neural Networks devoted to Brain Tumor Segmentation Philippe Bouchet,Jean-Baptiste Deloges,Hugo Canton-Bacara,Gaätan Pusel,Lucas Pinotet al. BrainLes 2022: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Sep 2022, Singapore, Singapore. pp.149--161, ⟨10.1007/978-3-031-33842-7_13⟩ Communication dans un congrès hal-04579594v1
Gradient Vector Fields of Discrete Morse Functions and Watershed-cuts Nicolas Boutry,Gilles Bertrand,Laurent Najman DGMM 2022 -- IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Étienne Baudrier; Benoît Naegel; Adrien Krähenbühl; Mohamed Tajine, Oct 2022, Strasbourg, France. pp.1--13, ⟨10.1007/978-3-031-19897-7_4⟩ Communication dans un congrès hal-03614850v2
Topology-Aware Method to Segment 3D Plan Tissue Images Minh Ôn Vũ Ngoc,Nicolas Boutry,Jonathan Fabrizio 36th Conference on Neural Information Processing Systems, AI for Science Workshop, Nov 2022, New Orleans, United States Communication dans un congrès hal-04579611v1
Visual xAI techniques Caroline Mazini Rodrigues,Laurent Najman,Nicolas Boutry Ecole Jeunes Chercheuses et Chercheurs en Informatique Mathématique, Maison de la Modélisation, de la Simulation et des Interactions [MSI], Jun 2022, Nice, France Communication dans un congrès hal-03709709v1
FOANet: A Focus of Attention Network with Application to Myocardium Segmentation Zhou Zhao,Nicolas Boutry,Élodie Puybareau,Thierry Géraud Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.1120--1127, ⟨10.1109/ICPR48806.2021.9412016⟩ Communication dans un congrès hal-04579622v1
A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation Nicolas Boutry,Thierry Géraud Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden. pp.67--78, ⟨10.1007/978-3-030-76657-3_4⟩ Communication dans un congrès hal-04579591v1
Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation Zhou Zhao,Nicolas Boutry,Élodie Puybareau,Thierry Géraud Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.7447--7453, ⟨10.1109/ICPR48806.2021.9412755⟩ Communication dans un congrès hal-04579623v1
An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D Nicolas Boutry,Thierry Géraud,Laurent Najman Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden Communication dans un congrès hal-03171063v1
Stability of the Tree of Shapes to Additive Noise Nicolas Boutry,Guillaume Tochon Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden. pp.365--377, ⟨10.1007/978-3-030-76657-3_26⟩ Communication dans un congrès hal-04579592v1
Introducing the Boundary-Aware loss for deep image segmentation Minh Ôn Vû Ngoc,Yizi Chen,Nicolas Boutry,Joseph Chazalon,Edwin Carlinetet al. British Machine Vision Conference (BMVC) 2021, Nov 2021, Virtual, United Kingdom Communication dans un congrès hal-03417244v1
Stacked and parallel U-nets with multi-output for myocardial pathology segmentation Zhou Zhao,Nicolas Boutry,Élodie Puybareau Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, Dec 2020, Lima, Peru. pp.138--145, ⟨10.1007/978-3-030-65651-5_13⟩ Communication dans un congrès hal-04579618v1
Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures N. Boutry,J. Chazalon,E. Puybareau,G. Tochon,Hugues Talbotet al. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 5th International Workshop,, Oct 2019, Shenzhen, China. pp.187-199, ⟨10.1007/978-3-030-46640-4_18⟩ Communication dans un congrès hal-04580407v1
A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images Zhou Zhao,Nicolas Boutry,Élodie Puybareau,Thierry Géraud Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges−-10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, Oct 2019, Shenzhen, China. pp.405--413, ⟨10.1007/978-3-030-39074-7_42⟩ Communication dans un congrès hal-04579620v1
A 4D counter-example showing that DWCness does not imply CWCness in n-D Nicolas Boutry,Rocio Gonzalez-Diaz,Laurent Najman,Thierry Géraud Combinatorial Image Analysis. IWCIA 2020, Jul 2020, Novi Sad, Serbia. ⟨10.1007/978-3-030-51002-2_6⟩ Communication dans un congrès hal-02455798v1
Euler Well-Composedness Nicolas Boutry,Rocio Gonzalez-Diaz,Maria-Jose Jimenez,Eduardo Paluzo-Hildago Combinatorial Image Analysis: Proceedings of the 20th International Workshop (IWCIA 2020), Jul 2020, Novi Sad, Serbia. pp.3--19, ⟨10.1007/978-3-030-51002-2_1⟩ Communication dans un congrès hal-04579590v1
One More Step Towards Well-Composedness of Cell Complexes over n-D Pictures Nicolas Boutry,Rocio Gonzalez-Diaz,Maria-Jose Jimenez Proceedings of the 21st International Conference on Discrete Geometry for Computer Imagery (DGCI), Mar 2019, Marne-la-Vallée, France. pp.101--114, ⟨10.1007/978-3-030-14085-4_9⟩ Communication dans un congrès hal-04579589v1
An Equivalence Relation between Morphological Dynamics and Persistent Homology in 1D Nicolas Boutry,Thierry Géraud,Laurent Najman Mathematical Morphology and Its Applications to Signal and Image Processing, Burgeth, Bernhard; Kleefeld, Andreas; Naegel, Benoît; Passat, Nicolas; Perret, Benjamin, 2019, Strasbourg, France. pp.57-68, ⟨10.1007/978-3-030-20867-7_5⟩ Communication dans un congrès hal-01978607v1
La pseudo-distance du dahu Edwin Carlinet,Yongchao Xu,Nicolas Boutry,Thierry Géraud ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France Communication dans un congrès hal-01866710v1
Introducing the Dahu Pseudo-Distance Thierry Géraud,Yongchao Xu,Edwin Carlinet,Nicolas Boutry 13th International Symposium on Mathematical Morphology (ISMM), May 2017, Fontainebleau, France. ⟨10.1007/978-3-319-57240-6_5⟩ Communication dans un congrès hal-01476258v1
Well-composedness in Alexandrov spaces implies digital well-composedness in Z^n Nicolas Boutry,Laurent Najman,Thierry Géraud 20th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Sep 2017, Vienna, Austria Communication dans un congrès hal-01744455v1
Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in $\mathbb {Z}^n$ Nicolas Boutry,Laurent Najman,Thierry Géraud 20th International Conference on Discrete Geometry for Computer Imagery (DGCI 2017), Sep 2017, Vienne, Austria. pp.225-237, ⟨10.1007/978-3-319-66272-5_19⟩ Communication dans un congrès hal-01586418v1
How to make nD images Well-composed without interpolation Nicolas Boutry,Thierry Géraud,Laurent Najman International Conference on Image Processing (ICIP), Sep 2015, Quebec City, Canada. ⟨10.1109/ICIP.2015.7351181⟩ Communication dans un congrès hal-01134166v1
How to Make nD Functions Digitally Well-Composed in a Self-dual Way Nicolas Boutry,Thierry Géraud,Laurent Najman Mathematical Morphology and Its Applications to Signal and Image Processing, Benediktsson, J.A.; Chanussot, J.; Najman, L.; Talbot, H., May 2015, Reykjavik, Iceland. pp.561-572, ⟨10.1007/978-3-319-18720-4_47⟩ Communication dans un congrès hal-01168723v1
On making nD images well-composed by a self-dual local interpolation Nicolas Boutry,Thierry Géraud,Laurent Najman 18th IAPR International Conference, DGCI 2014, Sep 2014, Sienna, Italy. pp.320-331, ⟨10.1007/978-3-319-09955-2_27⟩ Communication dans un congrès hal-01071624v1

Poster de conférence (1)

Standardised procedures for ultrasound imaging in paediatric rheumatology: progress of EULAR/PRES task force. Jelena Vojinovic,Paz Collado,I Janta,Loreto Carmona,Clara Malattiaet al. Annual European Congress of Rheumatology, EULAR 2018, Jun 2018, Amsterdam, Netherlands. Annals of the Rheumatic Diseases, The EULAR Journal, 77, pp.476 Poster de conférence hal-01829469v1

Thèse (1)

A Study of Well-composedness in n-D. Nicolas Boutry Modeling and Simulation. Université Paris-Est, 2016. English. ⟨NNT : 2016PESC1025⟩ Thèse tel-01531035v1

Rapport (1)

About the equivalence between AWCness and DWCness Nicolas Boutry,Laurent Najman,Thierry Géraud [Research Report] LIGM - Laboratoire d'Informatique Gaspard-Monge; LRDE - Laboratoire de Recherche et de Développement de l'EPITA. 2016 Rapport (rapport de recherche) hal-01375621v2