Nicolas Boutry

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 51

Top Venues

CoRR

J. Math. Imaging Vis.

DGMM

DGCI

University of Paris-Est, France (PHD)

Education History

University of Paris-Est, France

PHD

Publications

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Reasoning with trees: interpreting CNNs using hierarchies. CoRR (2024)
Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini
Bridging Human Concepts and Computer Vision for Explainable Face Verification. CoRR (2024)
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Transforming gradient-based techniques into interpretable methods. CoRR (2024)
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Unsupervised discovery of interpretable visual concepts. Inf. Sci. 661 (2024)
Nicolas Boutry
-well-composedness in Partially Ordered Sets. J. Math. Imaging Vis. 66 (1) (2024)
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Transforming gradient-based techniques into interpretable methods. Pattern Recognit. Lett. 184 (2024)
Majed Jaber, Nicolas Boutry, Pierre Parrend
Graph-Based Spectral Analysis for Detecting Cyber Attacks. ARES (2024)
Gilles Bertrand, Nicolas Boutry, Laurent Najman
Discrete Morse Functions and Watersheds. J. Math. Imaging Vis. 65 (5) (2023)
Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini
Bridging Human Concepts and Computer Vision for Explainable Face Verification. BEWARE@AI*IA (2023)
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Unsupervised discovery of Interpretable Visual Concepts. CoRR (2023)
Gilles Bertrand, Nicolas Boutry, Laurent Najman
Discrete Morse Functions and Watersheds. CoRR (2023)
Nicolas Boutry, Gilles Bertrand, Laurent Najman
Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts. DGMM (2022)
Nicolas Boutry, Laurent Najman, Thierry Géraud
Some Equivalence Relation between Persistent Homology and Morphological Dynamics. J. Math. Imaging Vis. 64 (7) (2022)
Philippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaëtan Pusel, Lucas Pinot, Othman Elbaz, Nicolas Boutry
An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation. BrainLes@MICCAI (2022)
Nicolas Boutry, Laurent Najman, Thierry Géraud
Some equivalence relation between persistent homology and morphological dynamics. CoRR (2022)
Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
Strong Euler well-composedness. J. Comb. Optim. 44 (4) (2022)
Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. IEEE Trans. Image Process. 31 (2022)
Nicolas Boutry, Rocío González-Díaz, Laurent Najman, Thierry Géraud
Continuous Well-Composedness Implies Digital Well-Composedness in n-D. J. Math. Imaging Vis. 64 (2) (2022)
Thierry Géraud, Nicolas Boutry, Sébastien Crozet, Edwin Carlinet, Laurent Najman
A Proof of the Tree of Shapes in n-D. CoRR (2022)
Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. CoRR (2022)
Nicolas Boutry, Laurent Najman
Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests. CoRR (2022)
Nicolas Boutry, Thierry Géraud
A New Matching Algorithm Between Trees of Shapes and Its Application to Brain Tumor Segmentation. DGMM (2021)
Nicolas Boutry, Guillaume Tochon
Stability of the Tree of Shapes to Additive Noise. DGMM (2021)
Minh On Vu Ngoc, Yizi Chen, Nicolas Boutry, Joseph Chazalon, Edwin Carlinet, Clément Mallet, Thierry Géraud
Introducing the Boundary-Aware loss for deep image segmentation. BMVC (2021)
Nicolas Boutry, Thierry Géraud, Laurent Najman
An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D. DGMM (2021)
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
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70 (2021)
Marc Demoustier, Ines Khemir, Quoc Duong Nguyen, Lucien Martin-Gaffé, Nicolas Boutry
Residual 3D U-Net with Localization for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
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
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73 (2021)
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, 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 Meyer, Nisarg A. Shah, Sanjay 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
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Nicolas Boutry, Rocío González-Díaz, Laurent Najman, Thierry Géraud
A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD. IWCIA (2020)
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
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR (2020)
Nicolas Boutry, Laurent Najman, Thierry Géraud
Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids. J. Math. Imaging Vis. 62 (9) (2020)
Nicolas Boutry, Laurent Najman, Thierry Géraud
Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids. J. Math. Imaging Vis. 62 (9) (2020)
Zhou Zhao, Nicolas Boutry, Élodie Puybareau
Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. MyoPS@MICCAI (2020)
Nicolas Boutry, Rocío González-Díaz, Maria Jose Jimenez, Eduardo Paluzo-Hidalgo
Euler Well-Composedness. IWCIA (2020)
Lê Duy Huynh, Nicolas Boutry
A U-Net++ With Pre-Trained EfficientNet Backbone for Segmentation of Diseases and Artifacts in Endoscopy Images and Videos. EndoCV@ISBI (2020)
Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud
Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. ICPR (2020)
Minh On Vu Ngoc, Nicolas Boutry, Jonathan Fabrizio, Thierry Géraud
A minimum barrier distance for multivariate images with applications. Comput. Vis. Image Underst. (2020)
Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud
FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. ICPR (2020)
Nicolas Boutry, Thierry Géraud, Laurent Najman
How to Make n-D Plain Maps Defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-Dual Way. J. Math. Imaging Vis. 61 (6) (2019)
Nicolas Boutry, Rocío González-Díaz, María José Jiménez
One More Step Towards Well-Composedness of Cell Complexes over nD Pictures. DGCI (2019)
Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud
Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. BrainLes@MICCAI (1) (2019)
Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud
A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images. STACOM@MICCAI (2019)
Nicolas Boutry, Rocío González-Díaz, María José Jiménez
Weakly well-composed cell complexes over nD pictures. Inf. Sci. 499 (2019)
Nicolas Boutry, Thierry Géraud, Laurent Najman
An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D. ISMM (2019)
Lê Duy Huynh, Nicolas Boutry, Thierry Géraud
Connected filters on generalized shape-Spaces. Pattern Recognit. Lett. 128 (2019)
Nicolas Boutry, Thierry Géraud, Laurent Najman
A Tutorial on Well-Composedness. J. Math. Imaging Vis. 60 (3) (2018)
Nicolas Boutry, Laurent Najman, Thierry Géraud
Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in \mathbb Z^n. DGCI (2017)
Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry
Introducing the Dahu Pseudo-Distance. ISMM (2017)
Nicolas Boutry, Thierry Géraud, Laurent Najman
How to make nD images well-composed without interpolation. ICIP (2015)
Nicolas Boutry, Thierry Géraud, Laurent Najman
How to Make nD Functions Digitally Well-Composed in a Self-dual Way. ISMM (2015)
Nicolas Boutry, Thierry Géraud, Laurent Najman
On Making nD Images Well-Composed by a Self-dual Local Interpolation. DGCI (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolas Boutry