Introducing PC n-Manifolds and P-well-composedness in Partially Ordered Sets

Nicolas Boutry. Introducing PC n-Manifolds and P-well-composedness in Partially Ordered Sets. Journal of Mathematical Imaging and Vision, 2023, 66, pp.1--21. ⟨10.1007/s10851-023-01159-6⟩. ⟨hal-04579595⟩

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

Marc Demoustier, Ines Khemir, Quoc Duon Nguyen, Lucien Martin-Gaffé, Nicolas Boutry. Residual 3D U-Net with Localization for Brain Tumor Segmentation. International MICCAI Brainlesion Workshop, Sep 2021, virtual event, Unknown Region. pp.389--399, ⟨10.1007/978-3-031-08999-2_33⟩. ⟨hal-04579593⟩

An Efficient Cascade of U-Net-like Convolutional Neural Networks devoted to Brain Tumor Segmentation

Philippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaätan Pusel, Lucas Pinot, et al.. An Efficient Cascade of U-Net-like Convolutional Neural Networks devoted to Brain Tumor Segmentation. BrainLes 2022: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Sep 2022, Singapore, Singapore. pp.149--161, ⟨10.1007/978-3-031-33842-7_13⟩. ⟨hal-04579594⟩

Local Intensity Order Transformation for Robust Curvilinear Object Segmentation

Tianyi Shi, Nicolas Boutry, Yongchao Xu, Thierry Géraud. Local Intensity Order Transformation for Robust Curvilinear Object Segmentation. IEEE Transactions on Image Processing, 2022, 31, pp.2557--2569. ⟨10.1109/TIP.2022.3155954⟩. ⟨hal-04579617⟩

Some equivalence relation between persistent homology and morphological dynamics

Nicolas Boutry, Laurent Najman, Thierry Géraud. Some equivalence relation between persistent homology and morphological dynamics. Journal of Mathematical Imaging and Vision, 2022, 64, pp.807--824. ⟨10.1007/s10851-022-01104-z⟩. ⟨hal-03676854⟩

Gradients Intégrés Renforcés

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman. Gradients Intégrés Renforcés. Explain'AI - EGC Workshop, Jan 2022, Blois, France. ⟨hal-04579609⟩

A Proof of the Tree of Shapes in n-D

Thierry Géraud, Nicolas Boutry, Sébastien Crozet, Edwin Carlinet, Laurent Najman. A Proof of the Tree of Shapes in n-D. 2022. ⟨hal-03690353⟩

Gradient Vector Fields of Discrete Morse Functions and Watershed-cuts

Nicolas Boutry, Gilles Bertrand, Laurent Najman. Gradient Vector Fields of Discrete Morse Functions and Watershed-cuts. DGMM 2022 -- IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Étienne Baudrier; Benoît Naegel; Adrien Krähenbühl; Mohamed Tajine, Oct 2022, Strasbourg, France. pp.1--13, ⟨10.1007/978-3-031-19897-7_4⟩. ⟨hal-03614850v2⟩

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

Nicolas Boutry, Rocio Gonzalez-Diaz, Laurent Najman, Thierry Géraud. Continuous Well-Composedness Implies Digital Well-Composedness in n-D. Journal of Mathematical Imaging and Vision, 2022, 64 (2), pp.131-150. ⟨10.1007/s10851-021-01058-8⟩. ⟨hal-03575456⟩

Visual xAI techniques

Caroline Mazini Rodrigues, Laurent Najman, Nicolas Boutry. Visual xAI techniques. Ecole Jeunes Chercheuses et Chercheurs en Informatique Mathématique, Maison de la Modélisation, de la Simulation et des Interactions [MSI], Jun 2022, Nice, France. ⟨hal-03709709⟩

Topology-Aware Method to Segment 3D Plan Tissue Images

Minh Ôn Vũ Ngoc, Nicolas Boutry, Jonathan Fabrizio. Topology-Aware Method to Segment 3D Plan Tissue Images. 36th Conference on Neural Information Processing Systems, AI for Science Workshop, Nov 2022, New Orleans, United States. ⟨hal-04579611⟩

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

Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud. FOANet: A Focus of Attention Network with Application to Myocardium Segmentation. Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.1120--1127, ⟨10.1109/ICPR48806.2021.9412016⟩. ⟨hal-04579622⟩

A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation

Nicolas Boutry, Thierry Géraud. A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation. Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden. pp.67--78, ⟨10.1007/978-3-030-76657-3_4⟩. ⟨hal-04579591⟩

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

Nicolas Boutry, Thierry Géraud, Laurent Najman. An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D. Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden. ⟨hal-03171063⟩

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

Zhou Zhao, Nicolas Boutry, Élodie Puybareau, Thierry Géraud. Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, Italy. pp.7447--7453, ⟨10.1109/ICPR48806.2021.9412755⟩. ⟨hal-04579623⟩

Stability of the Tree of Shapes to Additive Noise

Nicolas Boutry, Guillaume Tochon. Stability of the Tree of Shapes to Additive Noise. Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden. pp.365--377, ⟨10.1007/978-3-030-76657-3_26⟩. ⟨hal-04579592⟩

Stacked and parallel U-nets with multi-output for myocardial pathology segmentation

Zhou Zhao, Nicolas Boutry, Élodie Puybareau. Stacked and parallel U-nets with multi-output for myocardial pathology segmentation. Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, Dec 2020, Lima, Peru. pp.138--145, ⟨10.1007/978-3-030-65651-5_13⟩. ⟨hal-04579618⟩

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. A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images. Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges−-10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, Oct 2019, Shenzhen, China. pp.405--413, ⟨10.1007/978-3-030-39074-7_42⟩. ⟨hal-04579620⟩

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

N. Boutry, J. Chazalon, E. Puybareau, G. Tochon, Hugues Talbot, et al.. Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 5th International Workshop,, Oct 2019, Shenzhen, China. pp.187-199, ⟨10.1007/978-3-030-46640-4_18⟩. ⟨hal-04580407⟩

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

Nicolas Boutry, Laurent Najman, Thierry Géraud. Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids. Journal of Mathematical Imaging and Vision, 2020, 62 (9), pp.1285-1333. ⟨10.1007/s10851-020-00988-z⟩. ⟨hal-02990817⟩

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

Nicolas Boutry, Laurent Najman, Thierry Géraud. Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids. Journal of Mathematical Imaging and Vision, 2020, 62 (9), pp.1256-1284. ⟨10.1007/s10851-020-00989-y⟩. ⟨hal-02990810⟩

Euler Well-Composedness

Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez, Eduardo Paluzo-Hildago. Euler Well-Composedness. Combinatorial Image Analysis: Proceedings of the 20th International Workshop (IWCIA 2020), Jul 2020, Novi Sad, Serbia. pp.3--19, ⟨10.1007/978-3-030-51002-2_1⟩. ⟨hal-04579590⟩

One More Step Towards Well-Composedness of Cell Complexes over n-D Pictures

Nicolas Boutry, Rocio Gonzalez-Diaz, Maria-Jose Jimenez. One More Step Towards Well-Composedness of Cell Complexes over n-D Pictures. Proceedings of the 21st International Conference on Discrete Geometry for Computer Imagery (DGCI), Mar 2019, Marne-la-Vallée, France. pp.101--114, ⟨10.1007/978-3-030-14085-4_9⟩. ⟨hal-04579589⟩

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. How to Make n-D Plain Maps defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-dual Way. Journal of Mathematical Imaging and Vision, 2019, 61, pp.849-973. ⟨10.1007/s10851-019-00873-4⟩. ⟨hal-02005579⟩

A Tutorial on Well-Composedness

Nicolas Boutry, Thierry Géraud, Laurent Najman. A Tutorial on Well-Composedness. Journal of Mathematical Imaging and Vision, 2018, 60 (3), pp.443-478. ⟨10.1007/s10851-017-0769-6⟩. ⟨hal-01609892v2⟩

La pseudo-distance du dahu

Edwin Carlinet, Yongchao Xu, Nicolas Boutry, Thierry Géraud. La pseudo-distance du dahu. ORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France. ⟨hal-01866710⟩

Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in $\mathbb {Z}^n$

Nicolas Boutry, Laurent Najman, Thierry Géraud. Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in $\mathbb {Z}^n$. 20th International Conference on Discrete Geometry for Computer Imagery (DGCI 2017), Sep 2017, Vienne, Austria. pp.225-237, ⟨10.1007/978-3-319-66272-5_19⟩. ⟨hal-01586418⟩