Nicolas Boutry

Orcid: 0000-0001-6278-4638

According to our database1, Nicolas Boutry authored at least 48 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Introducing Poset-Based Connected n-Manifolds and <i>P</i>-well-composedness in Partially Ordered Sets.
J. Math. Imaging Vis., January, 2024

Transforming gradient-based techniques into interpretable methods.
Pattern Recognit. Lett., 2024

Unsupervised discovery of interpretable visual concepts.
Inf. Sci., 2024

Reasoning with trees: interpreting CNNs using hierarchies.
CoRR, 2024

Graph-Based Spectral Analysis for Detecting Cyber Attacks.
Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023
Discrete Morse Functions and Watersheds.
J. Math. Imaging Vis., October, 2023

Bridging Human Concepts and Computer Vision for Explainable Face Verification.
Proceedings of the 2nd Workshop on Bias, 2023

2022
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation.
IEEE Trans. Image Process., 2022

Some Equivalence Relation between Persistent Homology and Morphological Dynamics.
J. Math. Imaging Vis., 2022

Continuous Well-Composedness Implies Digital Well-Composedness in n-D.
J. Math. Imaging Vis., 2022

Strong Euler well-composedness.
J. Comb. Optim., 2022

A Proof of the Tree of Shapes in n-D.
CoRR, 2022

Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests.
CoRR, 2022

Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2022

An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation.
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.
Medical Image Anal., 2021

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Stability of the Tree of Shapes to Additive Noise.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

A New Matching Algorithm Between Trees of Shapes and Its Application to Brain Tumor Segmentation.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

Residual 3D U-Net with Localization for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Introducing the Boundary-Aware loss for deep image segmentation.
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.
J. Math. Imaging Vis., 2020

Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids.
J. Math. Imaging Vis., 2020

A minimum barrier distance for multivariate images with applications.
Comput. Vis. Image Underst., 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020

Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation.
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.
Proceedings of the Combinatorial Image Analysis - 20th International Workshop, 2020

Euler Well-Composedness.
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.
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.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

FOANet: A Focus of Attention Network with Application to Myocardium Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Connected filters on generalized shape-Spaces.
Pattern Recognit. Lett., 2019

How to Make n-D Plain Maps Defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-Dual Way.
J. Math. Imaging Vis., 2019

Weakly well-composed cell complexes over nD pictures.
Inf. Sci., 2019

A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images.
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.
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.
Proceedings of the Discrete Geometry for Computer Imagery, 2019

Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
A Tutorial on Well-Composedness.
J. Math. Imaging Vis., 2018

2017
Introducing the Dahu Pseudo-Distance.
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.
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).
PhD thesis, 2016

2015
How to Make nD Functions Digitally Well-Composed in a Self-dual Way.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

How to make nD images well-composed without interpolation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
On Making nD Images Well-Composed by a Self-dual Local Interpolation.
Proceedings of the Discrete Geometry for Computer Imagery, 2014


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