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
75 2017 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
47 2021 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
28 2014 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
24 2019 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
21 2017 D Variational Restoration of Curvilinear Structures With Prior-Based Directional RegularizationO Merveille, B Naegel, H Talbot, N Passat
IEEE Transactions on Image Processing 28 (8), 3848-3859, 2019
15 2019 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
15 2018 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
13 2022 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
12 2016 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
10 2021 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
9 2016 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
7 2023 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
7 2015 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
5 2021 2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO). Image Processing On Line 7, 246–261 (2017) O Merveille, B Naegel, H Talbot, L Najman, N Passat
5 2017 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
3 2021 RORPO: A morphological framework for curvilinear structure analysis; Application to the filtering and segmentation of blood vessels O Merveille
Université Paris-Est, 2016
3 2016 Tubular structure analysis by ranking the orientation responses of path operators O Merveille, H Talbot, L Najman, N Passat
Technical Report hal-01262728, 2016
3 2016 A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization S Carneiro-Esteves, A Vacavant, O Merveille
Neurocomputing, 128055, 2024
2 2024 A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization SC Esteves, A Vacavant, O Merveille
Neurocomputing 599, 128055, 2024
1 2024