| 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 Regularization O 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 |
Nicolas PassatUniversité de Reims Champagne-ArdenneVerified email at univ-reims.fr
