Rougé, P., Passat, N., & Merveille, O. (2024). Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction. In accepted in PLOS ONE.
@unpublished{rougé2024,
title = {Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction},
journal = {accepted in PLOS ONE},
author = {Rougé, Pierre and Passat, Nicolas and Merveille, Odyssée},
year = {2024},
doi = {arXiv:2307.11603},
pdf = {https://arxiv.org/abs/2307.11603}
}
Rougé, P., Conze, P.-H., Passat, N., & Merveille, O. (2024). Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning.
@unpublished{rougé2024_bis,
title = {Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning},
author = {Rougé, Pierre and Conze, Pierre-Henri and Passat, Nicolas and Merveille, Odyssée},
year = {2024},
doi = {2404.01765},
pdf = {https://arxiv.org/abs/2404.01765}
}
Journal articles
Carneiro-Esteves, S., Vacavant, A., & Merveille, O. (2024). A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization. Neurocomputing, 599, 128055.
@article{carneiron2024,
title = {A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization},
journal = {Neurocomputing},
volume = {599},
pages = {128055},
year = {2024},
doi = {https://doi.org/10.1016/j.neucom.2024.128055},
author = {Carneiro-Esteves, Sophie and Vacavant, Antoine and Merveille, Odyssée},
pdf = {https://arxiv.org/pdf/2404.10506}
}
Lamy, J., Merveille, O., Kerautret, B., & Passat, N. (2022). A Benchmark Framework for Multiregion Analysis of Vesselness Filters. IEEE Transactions on Medical Imaging, 41(12), 3649–3662.
@article{lamy_2022,
author = {Lamy, Jonas and Merveille, Odyssée and Kerautret, Bertrand and Passat, Nicolas},
journal = {IEEE Transactions on Medical Imaging},
title = {A Benchmark Framework for Multiregion Analysis of Vesselness Filters},
year = {2022},
volume = {41},
number = {12},
pages = {3649-3662},
doi = {10.1109/TMI.2022.3192679},
pdf = {https://hal.science/hal-04422096v1/document}
}
Merveille, O., Lampert, T., Schmitz, J., Forestier, G., Feuerhake, F., & Wemmert, C. (2021). An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology. Computer Methods and Programs in Biomedicine, 208, 106157.
@article{merveille_2021,
title = {An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology},
journal = {Computer Methods and Programs in Biomedicine},
volume = {208},
pages = {106157},
year = {2021},
doi = {https://doi.org/10.1016/j.cmpb.2021.106157},
author = {Merveille, Odyssee and Lampert, Thomas and Schmitz, Jessica and Forestier, Germain and Feuerhake, Friedrich and Wemmert, Cédric},
pdf = {https://hal.science/hal-03224927v1/document}
}
Merveille, O., Naegel, B., Talbot, H., & Passat, N. (2019). n D Variational Restoration of Curvilinear Structures With Prior-Based Directional Regularization. IEEE Transactions on Image Processing, 28(8), 3848–3859.
@article{merveille_2019,
author = {Merveille, Odyssée and Naegel, Benoît and Talbot, Hugues and Passat, Nicolas},
journal = {IEEE Transactions on Image Processing},
title = { $n$ D Variational Restoration of Curvilinear Structures With Prior-Based Directional Regularization},
year = {2019},
volume = {28},
number = {8},
pages = {3848-3859},
doi = {10.1109/TIP.2019.2901706},
pdf = {https://hal.science/hal-01832636/file/Merveille%20TIP%202019.pdf},
hal = {https://hal.science/hal-01832636/}
}
Merveille, O., Talbot, H., Najman, L., & Passat, N. (2018). Curvilinear structure analysis by ranking the orientation responses of path operators. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2), 304–317.
@article{merveille_2018,
title = {{Curvilinear structure analysis by ranking the orientation responses of path operators}},
author = {Merveille, Odyss{\'e}e and Talbot, Hugues and Najman, Laurent and Passat, Nicolas},
journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}},
volume = {40},
number = {2},
pages = {304-317},
year = {2018},
doi = {10.1109/TPAMI.2017.2672972},
pdf = {https://hal.science/hal-01262728v2/file/RORPO_PAMI_v3.pdf},
hal = {https://hal.science/hal-01262728v2}
}
Merveille, O., Naegel Benoı̂t, Talbot, H., Najman, L., & Passat, N. (2017). 2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO). Image Processing On Line, 7, 246–261.
@article{merveille_2017,
title = {2D filtering of curvilinear structures by ranking the orientation responses of path operators (RORPO)},
author = {Merveille, Odyss{\'e}e and Naegel, Beno{\^\i}t and Talbot, Hugues and Najman, Laurent and Passat, Nicolas},
journal = {Image Processing On Line},
volume = {7},
pages = {246--261},
year = {2017},
pdf = {https://hal.science/hal-01599528/file/Merveille_IPOL_2017.pdf},
hal = {https://hal.science/hal-01599528/}
}
Conference proceedings
Rougé, P., Merveille, O., & Passat, N. (2024). ccDice: A topology-aware Dice score based on connected components. Workshop on Topology-and Graph-Informed Imaging Informatics (TGI3@ MICCAI).
@inproceedings{rougé2024_ccDice,
title = {ccDice: A topology-aware Dice score based on connected components},
booktitle = {Workshop on Topology-and Graph-Informed Imaging Informatics (TGI3@ MICCAI)},
author = {Rougé, Pierre and Merveille, Odyssée and Passat, Nicolas},
year = {2024},
doi = {arXiv:2307.11603},
pdf = {https://hal.science/hal-04653406/document}
}
Carneiro-Esteves, S., Vacavant, A., & Merveille, O. (2024). Restoring Connectivity in Vascular Segmentation using a Learned Post-Processing Model. Workshop on Topology-and Graph-Informed Imaging Informatics (TGI3@ MICCAI).
@inproceedings{carneiro2024restoring,
title = {Restoring Connectivity in Vascular Segmentation using a Learned Post-Processing Model},
booktitle = {Workshop on Topology-and Graph-Informed Imaging Informatics (TGI3@ MICCAI)},
author = {Carneiro-Esteves, Sophie and Vacavant, Antoine and Merveille, Odyss{\'e}e},
pdf = {https://arxiv.org/abs/2404.10506},
doi = {2404.10506},
year = {2024}
}
Esteves, S. C., Vacavant, A., & Merveille, O. (2021). Learning a reconnecting regularization term for blood vessel variational segmentation. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 1–4.
@inproceedings{esteves_2021,
author = {Esteves, Sophie Carneiro and Vacavant, Antoine and Merveille, Odyssée},
booktitle = {2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)},
title = {Learning a reconnecting regularization term for blood vessel variational segmentation},
year = {2021},
pages = {1-4},
doi = {10.1109/BHI50953.2021.9508543},
pdf = {https://hal.science/hal-03278387/document}
}
Jabour, C., Garcia, D., Mathis, T., Loria, O., Rochepeau, C., Harbaoui, B., Lantelme, P., Vray, D., & Merveille, O. (2021). Robust Foveal Avascular Zone Segmentation and Anatomical Feature Extraction from OCT-A Handling Inter-Expert Variability. International Symposium on Biomedical Imaging (ISBI), 1682–1685.
@inproceedings{jabour2021,
author = {Jabour, Charles and Garcia, Damien and Mathis, Thibaud and Loria, Olivier and Rochepeau, Cédric and Harbaoui, Brahim and Lantelme, Pierre and Vray, Didier and Merveille, Odyssée},
booktitle = {International Symposium on Biomedical Imaging (ISBI)},
title = {Robust Foveal Avascular Zone Segmentation and Anatomical Feature Extraction from OCT-A Handling Inter-Expert Variability},
year = {2021},
pages = {1682-1685},
doi = {10.1109/ISBI48211.2021.9434069},
pdf = {https://hal.science/hal-03154386/document}
}
Lamy, J., Merveille, O., Kerautret, B., Passat, N., & Vacavant, A. (2021). Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging. International Conference on Pattern Recognition (ICPR), 3528–3535.
@inproceedings{lamy_2021,
author = {Lamy, Jonas and Merveille, Odyssée and Kerautret, Bertrand and Passat, Nicolas and Vacavant, Antoine},
booktitle = {International Conference on Pattern Recognition (ICPR)},
title = {Vesselness Filters: A Survey with Benchmarks Applied to Liver Imaging},
year = {2021},
pages = {3528-3535},
doi = {10.1109/ICPR48806.2021.9412362},
pdf = {https://hal.science/hal-02544493/document},
hal = {https://hal.science/hal-02544493v2}
}
Lampert, T., Merveille, O., Schmitz, J., Forestier, G., Feuerhake, F., & Wemmert, C. (2019). Strategies for Training Stain Invariant CNNS. International Symposium on Biomedical Imaging (ISBI 2019), 905–909.
@inproceedings{lampert_2019,
author = {Lampert, Thomas and Merveille, Odyssée and Schmitz, Jessica and Forestier, Germain and Feuerhake, Friedrich and Wemmert, Cédric},
booktitle = {International Symposium on Biomedical Imaging (ISBI 2019)},
title = {Strategies for Training Stain Invariant CNNS},
year = {2019},
pages = {905-909},
doi = {10.1109/ISBI.2019.8759266},
pdf = {https://arxiv.org/pdf/1810.10338.pdf}
}
Lebre, M.-A., Vacavant, A., Grand-Brochier, M., Merveille, O., Chabrot, P., Abergel, A., & Magnin Benoı̂t. (2018). Automatic 3-d skeleton-based segmentation of liver vessels from mri and ct for couinaud representation. 2018 25th IEEE International Conference on Image Processing (ICIP), 3523–3527.
@inproceedings{lebre_2018,
title = {Automatic 3-d skeleton-based segmentation of liver vessels from mri and ct for couinaud representation},
author = {Lebre, Marie-Ange and Vacavant, Antoine and Grand-Brochier, Manuel and Merveille, Odyss{\'e}e and Chabrot, Pascal and Abergel, Armand and Magnin, Beno{\^\i}t},
booktitle = {2018 25th IEEE International Conference on Image Processing (ICIP)},
pages = {3523--3527},
year = {2018},
hal = {https://uca.hal.science/hal-03164268v1},
doi = {10.1109/ICIP.2018.8451310}
}
Merveille, O., Miraucourt, O., Salmon, S., Passat, N., & Talbot, H. (2016). A variational model for thin structure segmentation based on a directional regularization. International Conference on Image Processing (ICIP), 4324–4328.
@inproceedings{merveille2016,
author = {Merveille, Odyssée and Miraucourt, Olivia and Salmon, Stéphanie and Passat, Nicolas and Talbot, Hugues},
booktitle = {International Conference on Image Processing (ICIP)},
title = {A variational model for thin structure segmentation based on a directional regularization},
year = {2016},
pages = {4324-4328},
doi = {10.1109/ICIP.2016.7533176},
pdf = {https://hal.science/hal-01472645/document}
}
Passat, N., Salmon, S., Armspach, J.-P., Naegel, B., Prud’homme, C., Talbot, H., Fortin, A., Garnotel, S., Merveille, O., Miraucourt, O., Tarabay, R., Chabannes, V., Dufour, A., Jezierska, A., Balédent, O., Durand, E., Najman, L., Szopos, M., Ancel, A., … Jomier, J. (2016). From Real MRA to Virtual MRA: Towards an Open-Source Framework. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 335–343.
@inproceedings{passat_2016,
author = {Passat, N. and Salmon, S. and Armspach, J.-P. and Naegel, B. and Prud'homme, C. and Talbot, H. and Fortin, A. and Garnotel, S. and Merveille, O. and Miraucourt, O. and Tarabay, R. and Chabannes, V. and Dufour, A. and Jezierska, A. and Bal{\'e}dent, O. and Durand, E. and Najman, L. and Szopos, M. and Ancel, A. and Baruthio, J. and Delbany, M. and Fall, S. and Pag{\'e}, G. and G{\'e}nevaux, O. and Ismail, M. and de Sousa, P. Loureiro and Thiriet, M. and Jomier, J.},
title = {From Real MRA to Virtual MRA: Towards an Open-Source Framework},
booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016},
year = {2016},
pages = {335--343},
pdf = {https://hal.science/hal-01472890v1/document},
doi = {https://doi.org/10.1007/978-3-319-46726-9_39}
}
Merveille, O., Talbot, H., Najman, L., & Passat, N. (2015). Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics. In J. A. Benediktsson, J. Chanussot, L. Najman, & H. Talbot (Eds.), Mathematical Morphology and Its Applications to Signal and Image Processing (pp. 633–644).
@inproceedings{merveille_2015,
author = {Merveille, Odyss{\'e}e and Talbot, Hugues and Najman, Laurent and Passat, Nicolas},
editor = {Benediktsson, J{\'o}n Atli and Chanussot, Jocelyn and Najman, Laurent and Talbot, Hugues},
title = {Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics},
booktitle = {Mathematical Morphology and Its Applications to Signal and Image Processing},
year = {2015},
pages = {633--644},
doi = {https://doi.org/10.1007/978-3-319-18720-4_53},
pdf = {https://hal.science/hal-01168732/document}
}
Merveille, O., Talbot, H., Najman, L., & Passat, N. (2014). Tubular structure filtering by ranking orientation responses of path operators. European Conference on Computer Vision (ECCV), 203–218.
@inproceedings{merveille_2014,
title = {Tubular structure filtering by ranking orientation responses of path operators},
author = {Merveille, Odyss{\'e}e and Talbot, Hugues and Najman, Laurent and Passat, Nicolas},
booktitle = {European Conference on Computer Vision (ECCV)},
pages = {203--218},
year = {2014},
pdf = {https://hal.science/file/index/docid/990014/filename/RORPO_HAL_Version.pdf},
hal = {https://hal.univ-reims.fr/hal-01694899},
doi = {https://doi.org/10.1007/978-3-319-10605-2_14}
}
Thesis
Merveille, O. (2016). RORPO : A morphological framework for curvilinear structure analysis; Application to the filtering and segmentation of blood vessels.
@thesis{merveille_2016_thesis,
author = {Merveille, Odyss{\'e}e},
title = {RORPO : A morphological framework for curvilinear structure analysis; Application to the filtering and segmentation of blood vessels},
year = {2016},
pdf = {https://pastel.hal.science/tel-01531160v1/document}
}