Nicolas Boutry

According to our database, Nicolas Boutry authored at least 48 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Introducing Poset-Based Connected n-Manifolds and <i>P</i>-well-composedness in Partially Ordered Sets.

Nicolas Boutry

J. Math. Imaging Vis., January, 2024

Transforming gradient-based techniques into interpretable methods.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

Pattern Recognit. Lett., 2024

Unsupervised discovery of interpretable visual concepts.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

Inf. Sci., 2024

Reasoning with trees: interpreting CNNs using hierarchies.

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

CoRR, 2024

Graph-Based Spectral Analysis for Detecting Cyber Attacks.

Majed Jaber, Nicolas Boutry, Pierre Parrend

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

Discrete Morse Functions and Watersheds.

Gilles Bertrand, Nicolas Boutry, Laurent Najman

J. Math. Imaging Vis., October, 2023

Bridging Human Concepts and Computer Vision for Explainable Face Verification.

Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini

Proceedings of the 2nd Workshop on Bias, 2023

2022

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation.

Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud

IEEE Trans. Image Process., 2022

Some Equivalence Relation between Persistent Homology and Morphological Dynamics.

Nicolas Boutry, Laurent Najman, Thierry Géraud

J. Math. Imaging Vis., 2022

Continuous Well-Composedness Implies Digital Well-Composedness in n-D.

Nicolas Boutry, Rocío González-Díaz, Laurent Najman, Thierry Géraud

J. Math. Imaging Vis., 2022

Strong Euler well-composedness.

Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo

J. Comb. Optim., 2022

A Proof of the Tree of Shapes in n-D.

Thierry Géraud, Nicolas Boutry, Sébastien Crozet, Edwin Carlinet, Laurent Najman

CoRR, 2022

Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests.

Nicolas Boutry, Laurent Najman

CoRR, 2022

Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts.

Nicolas Boutry, Gilles Bertrand, Laurent Najman

Proceedings of the Discrete Geometry and Mathematical Morphology, 2022

An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation.

Philippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaëtan Pusel, Lucas Pinot, Othman Elbaz, Nicolas Boutry

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.

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

Medical Image Anal., 2021

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

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

Medical Image Anal., 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

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

CoRR, 2021

Stability of the Tree of Shapes to Additive Noise.

Nicolas Boutry, Guillaume Tochon

Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D.

Nicolas Boutry, Thierry Géraud, Laurent Najman

Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

A New Matching Algorithm Between Trees of Shapes and Its Application to Brain Tumor Segmentation.

Nicolas Boutry, Thierry Géraud

Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

Residual 3D U-Net with Localization for Brain Tumor Segmentation.

Marc Demoustier, Ines Khemir, Quoc Duong Nguyen, Lucien Martin-Gaffé, Nicolas Boutry

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Introducing the Boundary-Aware loss for deep image segmentation.

Minh On Vu Ngoc, Yizi Chen, Nicolas Boutry, Joseph Chazalon, Edwin Carlinet, Clément Mallet, Thierry Géraud

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids.

Nicolas Boutry, Laurent Najman, Thierry Géraud

J. Math. Imaging Vis., 2020

Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids.

Nicolas Boutry, Laurent Najman, Thierry Géraud

J. Math. Imaging Vis., 2020

A minimum barrier distance for multivariate images with applications.

Minh On Vu Ngoc, Nicolas Boutry, Jonathan Fabrizio, Thierry Géraud

Comput. Vis. Image Underst., 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.

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

CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.

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

CoRR, 2020

Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation.

Zhou Zhao, Nicolas Boutry, Élodie Puybareau

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD.

Nicolas Boutry, Rocío González-Díaz, Laurent Najman, Thierry Géraud

Proceedings of the Combinatorial Image Analysis - 20th International Workshop, 2020

Euler Well-Composedness.

Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo

Proceedings of the Combinatorial Image Analysis - 20th International Workshop, 2020

A U-Net++ With Pre-Trained EfficientNet Backbone for Segmentation of Diseases and Artifacts in Endoscopy Images and Videos.

Lê Duy Huynh, Nicolas Boutry

Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation.

Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud

Proceedings of the 25th International Conference on Pattern Recognition, 2020

FOANet: A Focus of Attention Network with Application to Myocardium Segmentation.

Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Connected filters on generalized shape-Spaces.

Lê Duy Huynh, Nicolas Boutry, Thierry Géraud

Pattern Recognit. Lett., 2019

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

J. Math. Imaging Vis., 2019

Weakly well-composed cell complexes over nD pictures.

Nicolas Boutry, Rocío González-Díaz, María José Jiménez

Inf. Sci., 2019

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D.

Nicolas Boutry, Thierry Géraud, Laurent Najman

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

One More Step Towards Well-Composedness of Cell Complexes over nD Pictures.

Nicolas Boutry, Rocío González-Díaz, María José Jiménez

Proceedings of the Discrete Geometry for Computer Imagery, 2019

Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures.

Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

A Tutorial on Well-Composedness.

Nicolas Boutry, Thierry Géraud, Laurent Najman

J. Math. Imaging Vis., 2018

2017

Introducing the Dahu Pseudo-Distance.

Thierry Géraud, Yongchao Xu, Edwin Carlinet, Nicolas Boutry

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in \mathbb Z^n.

Nicolas Boutry, Laurent Najman, Thierry Géraud

Proceedings of the Discrete Geometry for Computer Imagery, 2017

2016

A Study of Well-composedness in n-D. (Une étude du bien-composé en dimension n).

Nicolas Boutry

PhD thesis, 2016

2015

How to Make nD Functions Digitally Well-Composed in a Self-dual Way.

Nicolas Boutry, Thierry Géraud, Laurent Najman

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

How to make nD images well-composed without interpolation.

Nicolas Boutry, Thierry Géraud, Laurent Najman

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

On Making nD Images Well-Composed by a Self-dual Local Interpolation.

Nicolas Boutry, Thierry Géraud, Laurent Najman

Proceedings of the Discrete Geometry for Computer Imagery, 2014