Nicolas Boutry

61 papers A 1B 4C 5Journal 35Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explaining with trees: interpreting CNNs using hierarchies. Trans. Mach. Learn. Res. Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
2025	J	`jnl`	Cyberattack detection through GPML: Graph Processing for Machine Learning. SoftwareX Majed Jaber, Julien Michel, Nicolas Boutry, Pierre Parrend
2025	J	`jnl`	Found in Translation: semantic approaches for enhancing AI interpretability in face verification. CoRR Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Bernard Gosselin
2025	J	`jnl`	GPML: Graph Processing for Machine Learning. CoRR Majed Jaber, Julien Michel, Nicolas Boutry, Pierre Parrend
2025	J	`jnl`	Improving segmentation of retinal arteries and veins using cardiac signal in doppler holograms. CoRR Marius Dubosc, Yann Fischer, Zacharie Auray, Nicolas Boutry, Edwin Carlinet, Michael Atlan, Thierry Géraud
2025	—	`conf`	Spectral Graph Analysis of Bipartite Graphs for Advanced Attack Detection. EICC Majed Jaber, Nicolas Boutry, Pierre Parrend
2025	J	`jnl`	Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. CoRR Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang, Kuanquan Wang, Qiucheng Wang, Suyu Dong
2024	J	`jnl`	Bridging Human Concepts and Computer Vision for Explainable Face Verification. CoRR Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini
2024	B	`conf`	Graph-Based Spectral Analysis for Detecting Cyber Attacks. ARES Majed Jaber, Nicolas Boutry, Pierre Parrend
2024	J	`jnl`	Introducing Poset-Based Connected n-Manifolds and J. Math. Imaging Vis. Nicolas Boutry
2024	J	`jnl`	Reasoning with trees: interpreting CNNs using hierarchies. CoRR Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
2024	J	`jnl`	Transforming gradient-based techniques into interpretable methods. CoRR Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
2024	J	`jnl`	Transforming gradient-based techniques into interpretable methods. Pattern Recognit. Lett. Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
2024	J	`jnl`	Unsupervised discovery of interpretable visual concepts. Inf. Sci. Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
2023	—	`conf`	Bridging Human Concepts and Computer Vision for Explainable Face Verification. BEWARE@AI*IA Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini
2023	J	`jnl`	Discrete Morse Functions and Watersheds. CoRR Gilles Bertrand, Nicolas Boutry, Laurent Najman
2023	J	`jnl`	Discrete Morse Functions and Watersheds. J. Math. Imaging Vis. Gilles Bertrand, Nicolas Boutry, Laurent Najman
2023	J	`jnl`	Unsupervised discovery of Interpretable Visual Concepts. CoRR Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
2022	J	`jnl`	A Proof of the Tree of Shapes in n-D. CoRR Thierry Géraud, Nicolas Boutry, Sébastien Crozet, Edwin Carlinet, Laurent Najman
2022	—	`conf`	An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation. BrainLes@MICCAI Philippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaëtan Pusel, Lucas Pinot, Othman Elbaz, Nicolas Boutry
2022	J	`jnl`	Continuous Well-Composedness Implies Digital Well-Composedness in n-D. J. Math. Imaging Vis. Nicolas Boutry, Rocío González-Díaz, Laurent Najman, Thierry Géraud
2022	—	`conf`	Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts. DGMM Nicolas Boutry, Gilles Bertrand, Laurent Najman
2022	J	`jnl`	Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests. CoRR Nicolas Boutry, Laurent Najman
2022	J	`jnl`	Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. CoRR Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud
2022	J	`jnl`	Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. IEEE Trans. Image Process. Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud
2022	J	`jnl`	Some Equivalence Relation between Persistent Homology and Morphological Dynamics. J. Math. Imaging Vis. Nicolas Boutry, Laurent Najman, Thierry Géraud
2022	J	`jnl`	Some equivalence relation between persistent homology and morphological dynamics. CoRR Nicolas Boutry, Laurent Najman, Thierry Géraud
2022	J	`jnl`	Strong Euler well-composedness. J. Comb. Optim. Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
2021	—	`conf`	A New Matching Algorithm Between Trees of Shapes and Its Application to Brain Tumor Segmentation. DGMM Nicolas Boutry, Thierry Géraud
2021	—	`conf`	An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D. DGMM Nicolas Boutry, Thierry Géraud, Laurent Najman
2021	J	`jnl`	Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2021	A	`conf`	Introducing the Boundary-Aware loss for deep image segmentation. BMVC Minh On Vu Ngoc, Yizi Chen, Nicolas Boutry, Joseph Chazalon, Edwin Carlinet, Clément Mallet, Thierry Géraud
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2021	—	`conf`	Residual 3D U-Net with Localization for Brain Tumor Segmentation. BrainLes@MICCAI (1) Marc Demoustier, Ines Khemir, Quoc Duong Nguyen, Lucien Martin-Gaffé, Nicolas Boutry
2021	—	`conf`	Stability of the Tree of Shapes to Additive Noise. DGMM Nicolas Boutry, Guillaume Tochon
2021	J	`jnl`	VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2020	C	`conf`	A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD. IWCIA Nicolas Boutry, Rocío González-Díaz, Laurent Najman, Thierry Géraud
2020	—	`conf`	A U-Net++ With Pre-Trained EfficientNet Backbone for Segmentation of Diseases and Artifacts in Endoscopy Images and Videos. EndoCV@ISBI Lê Duy Huynh, Nicolas Boutry
2020	J	`jnl`	A minimum barrier distance for multivariate images with applications. Comput. Vis. Image Underst. Minh On Vu Ngoc, Nicolas Boutry, Jonathan Fabrizio, Thierry Géraud
2020	J	`jnl`	A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2020	B	`conf`	Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. ICPR Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud
2020	J	`jnl`	Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids. J. Math. Imaging Vis. Nicolas Boutry, Laurent Najman, Thierry Géraud
2020	C	`conf`	Euler Well-Composedness. IWCIA Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
2020	B	`conf`	FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. ICPR Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud
2020	—	`conf`	Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. MyoPS@MICCAI Zhou Zhao, Nicolas Boutry, Élodie Puybareau
2020	J	`jnl`	Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids. J. Math. Imaging Vis. Nicolas Boutry, Laurent Najman, Thierry Géraud
2020	J	`jnl`	VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2019	—	`conf`	A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images. STACOM@MICCAI Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud
2019	C	`conf`	An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D. ISMM Nicolas Boutry, Thierry Géraud, Laurent Najman
2019	J	`jnl`	Connected filters on generalized shape-Spaces. Pattern Recognit. Lett. Lê Duy Huynh, Nicolas Boutry, Thierry Géraud
2019	J	`jnl`	How to Make n-D Plain Maps Defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-Dual Way. J. Math. Imaging Vis. Nicolas Boutry, Thierry Géraud, Laurent Najman
2019	—	`conf`	One More Step Towards Well-Composedness of Cell Complexes over nD Pictures. DGCI Nicolas Boutry, Rocío González-Díaz, María José Jiménez
2019	—	`conf`	Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. BrainLes@MICCAI (1) Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud
2019	J	`jnl`	Weakly well-composed cell complexes over nD pictures. Inf. Sci. Nicolas Boutry, Rocío González-Díaz, María José Jiménez
2018	J	`jnl`	A Tutorial on Well-Composedness. J. Math. Imaging Vis. Nicolas Boutry, Thierry Géraud, Laurent Najman
2017	C	`conf`	Introducing the Dahu Pseudo-Distance. ISMM Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry
2017	—	`conf`	Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in \mathbb Z^n. DGCI Nicolas Boutry, Laurent Najman, Thierry Géraud
2016	—	`—`	A Study of Well-composedness in n-D. (Une étude du bien-composé en dimension n). Nicolas Boutry
2015	C	`conf`	How to Make nD Functions Digitally Well-Composed in a Self-dual Way. ISMM Nicolas Boutry, Thierry Géraud, Laurent Najman
2015	B	`conf`	How to make nD images well-composed without interpolation. ICIP Nicolas Boutry, Thierry Géraud, Laurent Najman
2014	—	`conf`	On Making nD Images Well-Composed by a Self-dual Local Interpolation. DGCI Nicolas Boutry, Thierry Géraud, Laurent Najman