On Making nD Images Well-Composed by a Self-dual Local Interpolation. - Nicolas Boutry; Thierry Géraud; Laurent Najman (DGCI, 2014)

How to make nD images well-composed without interpolation. - Nicolas Boutry; Thierry Géraud; Laurent Najman (ICIP, 2015)

How to Make nD Functions Digitally Well-Composed in a Self-dual Way. - Nicolas Boutry; Thierry Géraud; Laurent Najman (ISMM, 2015)

A Study of Well-composedness in n-D. (Une étude du bien-composé en dimension n). - Nicolas Boutry (2016)

Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in mathbb Z^n. - Nicolas Boutry; Laurent Najman; Thierry Géraud (DGCI, 2017)

Introducing the Dahu Pseudo-Distance. - Thierry Géraud; Yongchao Xu; Edwin Carlinet; Nicolas Boutry (ISMM, 2017)

A Tutorial on Well-Composedness. - Nicolas Boutry; Thierry Géraud; Laurent Najman (J. Math. Imaging Vis., 2018)

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 (BrainLes@MICCAI (1), 2019)

One More Step Towards Well-Composedness of Cell Complexes over nD Pictures. - Nicolas Boutry; Rocío González-Díaz; María José Jiménez 001 (DGCI, 2019)

An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D. - Nicolas Boutry; Thierry Géraud; Laurent Najman (ISMM, 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 (STACOM@MICCAI, 2019)

Weakly well-composed cell complexes over nD pictures. - Nicolas Boutry; Rocío González-Díaz; María José Jiménez 001 (Inf. Sci., 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)

Connected filters on generalized shape-Spaces. - Lê Duy Huynh; Nicolas Boutry; Thierry Géraud (Pattern Recognit. Lett., 2019)

FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. - Zhou Zhao; Élodie Puybareau; Nicolas Boutry; Thierry Géraud (ICPR, 2020)

Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. - Zhou Zhao; Élodie Puybareau; Nicolas Boutry; Thierry Géraud (ICPR, 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 (EndoCV@ISBI, 2020)

Euler Well-Composedness. - Nicolas Boutry; Rocío González-Díaz; María José Jiménez 001; Eduardo Paluzo-Hidalgo (IWCIA, 2020)

A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD. - Nicolas Boutry; Rocío González-Díaz; Laurent Najman; Thierry Géraud (IWCIA, 2020)

Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation. - Zhou Zhao; Nicolas Boutry; Élodie Puybareau (MyoPS@MICCAI, 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 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 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; et al. (CoRR, 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)

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)

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)

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 (BMVC, 2021)

Residual 3D U-Net with Localization for Brain Tumor Segmentation. - Marc Demoustier; Ines Khemir; Quoc Duong Nguyen; Lucien Martin-Gaffé; Nicolas Boutry (BrainLes@MICCAI (1), 2021)

A New Matching Algorithm Between Trees of Shapes and Its Application to Brain Tumor Segmentation. - Nicolas Boutry; Thierry Géraud (DGMM, 2021)

An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D. - Nicolas Boutry; Thierry Géraud; Laurent Najman (DGMM, 2021)

Stability of the Tree of Shapes to Additive Noise. - Nicolas Boutry; Guillaume Tochon (DGMM, 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; et al. (CoRR, 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; et al. (Medical Image Anal., 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 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

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 (BrainLes@MICCAI, 2022)

Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts. - Nicolas Boutry; Gilles Bertrand 001; Laurent Najman (DGMM, 2022)

Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests. - Nicolas Boutry; Laurent Najman (CoRR, 2022)

A Proof of the Tree of Shapes in n-D. - Thierry Géraud; Nicolas Boutry; Sébastien Crozet; Edwin Carlinet; Laurent Najman (CoRR, 2022)

Strong Euler well-composedness. - Nicolas Boutry; Rocío González-Díaz; María José Jiménez 001; Eduardo Paluzo-Hidalgo (J. Comb. Optim., 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)

Some Equivalence Relation between Persistent Homology and Morphological Dynamics. - Nicolas Boutry; Laurent Najman; Thierry Géraud (J. Math. Imaging Vis., 2022)

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. - Tianyi Shi; Nicolas Boutry; Yongchao Xu; Thierry Géraud (IEEE Trans. Image Process., 2022)

Bridging Human Concepts and Computer Vision for Explainable Face Verification. - Miriam Doh; Caroline Mazini Rodrigues; Nicolas Boutry; Laurent Najman; Matei Mancas; Hugues Bersini (BEWARE@AI*IA, 2023)

Discrete Morse Functions and Watersheds. - Gilles Bertrand 001; Nicolas Boutry; Laurent Najman (J. Math. Imaging Vis., 2023)

Graph-Based Spectral Analysis for Detecting Cyber Attacks. - Majed Jaber; Nicolas Boutry; Pierre Parrend (ARES, 2024)

Reasoning with trees: interpreting CNNs using hierarchies. - Caroline Mazini Rodrigues; Nicolas Boutry; Laurent Najman (CoRR, 2024)

Unsupervised discovery of interpretable visual concepts. - Caroline Mazini Rodrigues; Nicolas Boutry; Laurent Najman (Inf. Sci., 2024)

Transforming gradient-based techniques into interpretable methods. - Caroline Mazini Rodrigues; Nicolas Boutry; Laurent Najman (Pattern Recognit. Lett., 2024)

Introducing Poset-Based Connected n-Manifolds and P-well-composedness in Partially Ordered Sets. - Nicolas Boutry (J. Math. Imaging Vis., 2024)

Spectral Graph Analysis of Bipartite Graphs for Advanced Attack Detection. - Majed Jaber; Nicolas Boutry; Pierre Parrend (EICC, 2025)

Found in Translation: semantic approaches for enhancing AI interpretability in face verification. - Miriam Doh; Caroline Mazini Rodrigues; Nicolas Boutry; Laurent Najman; Matei Mancas; Bernard Gosselin (CoRR, 2025)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. - Gongning Luo; Mingwang Xu; Hongyu Chen; Xinjie Liang; Xing Tao; Dong Ni 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)

GPML: Graph Processing for Machine Learning. - Majed Jaber; Julien Michel; Nicolas Boutry; Pierre Parrend (CoRR, 2025)