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Nicolas Boutry
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2020 – today
- 2024
- [j17]Caroline Mazini Rodrigues
, Nicolas Boutry, Laurent Najman
Unsupervised discovery of interpretable visual concepts. Inf. Sci. 661: 120159 (2024) - [j16]Nicolas Boutry:
Introducing Poset-Based Connected n-Manifolds and P-well-composedness in Partially Ordered Sets. J. Math. Imaging Vis. 66(1): 1-21 (2024) - [j15]Caroline Mazini Rodrigues
Transforming gradient-based techniques into interpretable methods. Pattern Recognit. Lett. 184: 66-73 (2024) - [c24]Majed Jaber
Graph-Based Spectral Analysis for Detecting Cyber Attacks. ARES 2024: 23:1-23:14 - [i12]Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman:
Transforming gradient-based techniques into interpretable methods. CoRR abs/2401.14434 (2024) - [i11]Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini:
Bridging Human Concepts and Computer Vision for Explainable Face Verification. CoRR abs/2403.08789 (2024) - [i10]Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman:
Reasoning with trees: interpreting CNNs using hierarchies. CoRR abs/2406.13257 (2024) - 2023
- [j14]Gilles Bertrand
Discrete Morse Functions and Watersheds. J. Math. Imaging Vis. 65(5): 787-801 (2023) - [c23]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: 15-29 - [i9]Gilles Bertrand, Nicolas Boutry, Laurent Najman:
Discrete Morse Functions and Watersheds. CoRR abs/2301.03840 (2023) - [i8]Caroline Mazini Rodrigues
Unsupervised discovery of Interpretable Visual Concepts. CoRR abs/2309.00018 (2023) - 2022
- [j13]Nicolas Boutry, Rocío González-Díaz, María José Jiménez, Eduardo Paluzo-Hidalgo
Strong Euler well-composedness. J. Comb. Optim. 44(4): 3038-3055 (2022) - [j12]Nicolas Boutry
Continuous Well-Composedness Implies Digital Well-Composedness in n-D. J. Math. Imaging Vis. 64(2): 131-150 (2022) - [j11]Nicolas Boutry
Some Equivalence Relation between Persistent Homology and Morphological Dynamics. J. Math. Imaging Vis. 64(7): 807-824 (2022) - [j10]Tianyi Shi
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. IEEE Trans. Image Process. 31: 2557-2569 (2022) - [c22]Philippe Bouchet
An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation. BrainLes@MICCAI 2022: 149-161 - [c21]Nicolas Boutry
Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts. DGMM 2022: 35-47 - [i7]Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud:
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. CoRR abs/2202.12587 (2022) - [i6]Nicolas Boutry, Laurent Najman
Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests. CoRR abs/2203.11512 (2022) - [i5]Nicolas Boutry, Laurent Najman
Some equivalence relation between persistent homology and morphological dynamics. CoRR abs/2205.12546 (2022) - [i4]Thierry Géraud, Nicolas Boutry, Sébastien Crozet, Edwin Carlinet, Laurent Najman
A Proof of the Tree of Shapes in n-D. CoRR abs/2206.05109 (2022) - 2021
- [j9]Sharib Ali
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70: 102002 (2021) - [j8]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [c20]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: 215 - [c19]Marc Demoustier
Residual 3D U-Net with Localization for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 389-399 - [c18]Nicolas Boutry, Thierry Géraud:
A New Matching Algorithm Between Trees of Shapes and Its Application to Brain Tumor Segmentation. DGMM 2021: 67-78 - [c17]Nicolas Boutry, Guillaume Tochon:
Stability of the Tree of Shapes to Additive Noise. DGMM 2021: 365-377 - [c16]Nicolas Boutry, Thierry Géraud, Laurent Najman
An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D. DGMM 2021: 525-537 - [i3]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:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j7]Minh On Vu Ngoc, Nicolas Boutry, Jonathan Fabrizio, Thierry Géraud:
A minimum barrier distance for multivariate images with applications. Comput. Vis. Image Underst. 197-198: 102993 (2020) - [j6]Nicolas Boutry
Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids. J. Math. Imaging Vis. 62(9): 1256-1284 (2020) - [j5]Nicolas Boutry
Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids. J. Math. Imaging Vis. 62(9): 1285-1333 (2020) - [c15]Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud:
FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. ICPR 2020: 1120-1127 - [c14]Zhou Zhao, Élodie Puybareau, Nicolas Boutry, Thierry Géraud:
Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. ICPR 2020: 7447-7453 - [c13]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: 13-17 - [c12]Nicolas Boutry
Euler Well-Composedness. IWCIA 2020: 3-19 - [c11]Nicolas Boutry, Rocío González-Díaz, Laurent Najman
A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD. IWCIA 2020: 73-87 - [c10]Zhou Zhao, Nicolas Boutry
Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. MyoPS@MICCAI 2020: 138-145 - [i2]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:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i1]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 abs/2010.06034 (2020)
2010 – 2019
- 2019
- [j4]Nicolas Boutry, Rocío González-Díaz, María José Jiménez
Weakly well-composed cell complexes over nD pictures. Inf. Sci. 499: 62-83 (2019) - [j3]Nicolas Boutry
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): 849-873 (2019) - [j2]Lê Duy Huynh, Nicolas Boutry
Connected filters on generalized shape-Spaces. Pattern Recognit. Lett. 128: 348-354 (2019) - [c9]Nicolas Boutry
Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. BrainLes@MICCAI (1) 2019: 187-199 - [c8]Nicolas Boutry, Rocío González-Díaz, María José Jiménez:
One More Step Towards Well-Composedness of Cell Complexes over nD Pictures. DGCI 2019: 101-114 - [c7]Nicolas Boutry, Thierry Géraud, Laurent Najman
An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D. ISMM 2019: 57-68 - [c6]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: 405-413 - 2018
- [j1]Nicolas Boutry, Thierry Géraud
A Tutorial on Well-Composedness. J. Math. Imaging Vis. 60(3): 443-478 (2018) - 2017
- [c5]Nicolas Boutry, Laurent Najman
Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in \mathbb Z^n. DGCI 2017: 225-237 - [c4]Thierry Géraud
Introducing the Dahu Pseudo-Distance. ISMM 2017: 55-67 - 2016
- [b1]Nicolas Boutry:
A Study of Well-composedness in n-D. (Une étude du bien-composé en dimension n). University of Paris-Est, France, 2016 - 2015
- [c3]Nicolas Boutry, Thierry Géraud
How to make nD images well-composed without interpolation. ICIP 2015: 2149-2153 - [c2]Nicolas Boutry, Thierry Géraud
How to Make nD Functions Digitally Well-Composed in a Self-dual Way. ISMM 2015: 561-572 - 2014
- [c1]Nicolas Boutry, Thierry Géraud, Laurent Najman
On Making nD Images Well-Composed by a Self-dual Local Interpolation. DGCI 2014: 320-331
Coauthor Index
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last updated on 2024-08-03 20:17 CEST by the dblp team
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