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Odyssée Merveille
Odyssée Merveille
Creatis, INSA Lyon
Adresse e-mail validée de creatis.insa-lyon.fr - Page d'accueil
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Année
Curvilinear structure analysis by ranking the orientation responses of path operators
O Merveille, H Talbot, L Najman, N Passat
IEEE transactions on pattern analysis and machine intelligence 40 (2), 304-317, 2017
722017
Vesselness filters: A survey with benchmarks applied to liver imaging
J Lamy, O Merveille, B Kerautret, N Passat, A Vacavant
2020 25th international conference on pattern recognition (ICPR), 3528-3535, 2021
432021
Tubular structure filtering by ranking orientation responses of path operators
O Merveille, H Talbot, L Najman, N Passat
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
292014
Strategies for training stain invariant CNNs
T Lampert, O Merveille, J Schmitz, G Forestier, F Feuerhake, C Wemmert
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
222019
2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO)
O Merveille, B Naegel, H Talbot, L Najman, N Passat
Image Processing On Line 7, 246-261, 2017
182017
Automatic 3-d skeleton-based segmentation of liver vessels from mri and ct for couinaud representation
MA Lebre, A Vacavant, M Grand-Brochier, O Merveille, P Chabrot, ...
2018 25th IEEE International Conference on Image Processing (ICIP), 3523-3527, 2018
152018
A variational model for thin structure segmentation based on a directional regularization
O Merveille, O Miraucourt, S Salmon, N Passat, H Talbot
2016 IEEE International Conference on Image Processing (ICIP), 4324-4328, 2016
132016
D Variational Restoration of Curvilinear Structures With Prior-Based Directional Regularization
O Merveille, B Naegel, H Talbot, N Passat
IEEE Transactions on Image Processing 28 (8), 3848-3859, 2019
112019
From real MRA to virtual MRA: Towards an open-source framework
N Passat, S Salmon, JP Armspach, B Naegel, C Prud’Homme, H Talbot, ...
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
102016
An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology
O Merveille, T Lampert, J Schmitz, G Forestier, F Feuerhake, C Wemmert
Computer Methods and Programs in Biomedicine 208, 106157, 2021
92021
A benchmark framework for multiregion analysis of vesselness filters
J Lamy, O Merveille, B Kerautret, N Passat
IEEE Transactions on Medical Imaging 41 (12), 3649-3662, 2022
82022
Ranking orientation responses of path operators: Motivations, choices and algorithmics
O Merveille, H Talbot, L Najman, N Passat
International Symposium on Mathematical Morphology and Its Applications to …, 2015
72015
Robust foveal avascular zone segmentation and anatomical feature extraction from OCT-A handling inter-expert variability
C Jabour, D Garcia, T Mathis, O Loria, C Rochepeau, B Harbaoui, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1682-1685, 2021
52021
Tubular structure analysis by ranking the orientation responses of path operators
O Merveille, H Talbot, L Najman, N Passat
Technical Report hal-01262728, 2016
42016
RORPO: A morphological framework for curvilinear structure analysis; Application to the filtering and segmentation of blood vessels
O Merveille
Université Paris-Est, 2016
32016
Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction
P Rougé, N Passat, O Merveille
arXiv preprint arXiv:2307.11603, 2023
22023
Learning a reconnecting regularization term for blood vessel variational segmentation
SC Esteves, A Vacavant, O Merveille
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
22021
A plug and play framework for curvilinear structures segmentation based on a learned reconnecting regularization
SC Esteves, A Vacavant, O Merveille
Available at SSRN 4573124, 0
1
Restoring Connectivity in Vascular Segmentation using a Learned Post-processing Model
S Carneiro-Esteves, A Vacavant, O Merveille
Medical Imaging with Deep Learning, 2024
2024
Apprentissage semi-supervisé pour la segmentation du réseau vasculaire cérébral: une étude comparative
P Rougé, N Passat, O Merveille
Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM), 2024
2024
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