Appadoo, O. K., Rositi, H., Valarier, S., Ombret, M.-C., Gadéa, É., Barret-Grimault, C., & Lohou, C. (2023). Implementation of communication media around a mixed reality experience with HoloLens headset, as part of a digitalization of a nutrition workshop. In arXiv.
@unpublished{Appadoo2023,
author = {Appadoo, Owen Kevin and Rositi, Hugo and Valarier, Sylvie and Ombret, Marie-Claire and Gad\'ea, Émilie and Barret-Grimault, Christine and Lohou, Christophe},
journal = {arXiv},
title = {Implementation of communication media around a mixed reality experience with HoloLens headset, as part of a digitalization of a nutrition workshop},
year = {2023},
doi = {2303.13079},
pubstate = {preprint}
}
Refereed journal articles
Affane, A., Chetoui, M. A., Lamy, J., Lienemann, G., Peron, R., Beaurepaire, P., Dollé, G., Lebre, M.-A., Magnin, B., Merveille, O., Morvan, M., Ngo, P., Pelletier, T., Rositi, H., Salmon, S., Finet, J., Kerautret, B., Passat, N., & Vacavant, A. (2025). The R-Vessel-X Project. IRBM, 46(1), 100876.
@article{Affane2025,
title = {The R-Vessel-X Project},
journal = {IRBM},
volume = {46},
number = {1},
pages = {100876},
year = {2025},
issn = {1959-0318},
doi = {https://doi.org/10.1016/j.irbm.2025.100876},
author = {Affane, Abir and Chetoui, Mohamed A. and Lamy, Jonas and Lienemann, Guillaume and Peron, Raphaël and Beaurepaire, Pierre and Dollé, Guillaume and Lebre, Marie-Ange and Magnin, Benoît and Merveille, Odyssée and Morvan, Mathilde and Ngo, Phuc and Pelletier, Thibault and Rositi, Hugo and Salmon, Stéphanie and Finet, Julien and Kerautret, Bertrand and Passat, Nicolas and Vacavant, Antoine},
keywords = {Image analysis, Angiographic images, Vessels, Hepatic vasculature, Open-source software}
}
1) Objectives: This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X ("Robust vascular network extraction and understanding within hepatic biomedical images") funded by the French Agence Nationale de la Recherche, and developed between 2019 and 2023.
2) Material and methods: We used datasets and tools publicly available such as IRCAD, Bullitt or VascuSynth to obtain real or synthetic angiographic images. The main contributions lie in the field of 3D angiographic image analysis: filtering, segmentation, modeling and simulation, with a specific focus on the liver.
3) Results: We paid a particular attention to open-source software diffusion of the developed methods, by means of 3D Slicer plugins for the liver anatomy segmentation (SlicerRVXLiverSegmentation) and vesselness filtering (SlicerRVXVesselnessFilters), and an online demo for the generation of synthetic and realistic vessels in 2D and 3D (OpenCCO).
4) Conclusion: The R-Vessel-X project provided extensive research outcomes, covering various topics related to 3D angiographic image analysis, such as filtering, segmentation, modeling and simulation. We also developed open-source and free softwares so that the research communities in biomedical engineering can use these results in their future research.
Gobé, J., Rositi, H., Vacavant, A., Rivière, M., Po, C., Chourrout, M., & Chauveau, F. (2024). High-resolution brain tractography from X-ray phase-contrast images. The European Physical Journal Plus, 139(7), 571.
@article{Gobe2024,
title = {High-resolution brain tractography from X-ray phase-contrast images},
author = {Gobé, Joshua and Rositi, Hugo and Vacavant, Antoine and Rivière, Margaux and Po, Chrystelle and Chourrout, Matthieu and Chauveau, Fabien},
journal = {The European Physical Journal Plus},
volume = {139},
year = {2024},
date = {2024-07-02},
number = {7},
pages = {571},
doi = {10.1140/epjp/s13360-024-05357-y}
}
X-ray phase contrast tomography (XPCT) can produce high contrast isotropic images of biological samples in only a few minutes thanks to the unique properties of the synchrotron X-ray beam.
XPCT of brain tissue provides an exquisite contrast of white matter, which could be exploited for 3D directional analysis. In this article, we present the first XPCT-based pipeline to perform white matter
tractography on rodent brains. We observed the disorganization of white matter in the vicinity of focal demyelinating lesions in the corpus callosum. The ability to obtain an isotropic, high-resolution tractogram
is an important landmark which could drive further interest of the neuroscience community toward XPCT.
Krikid, F., Rositi, H., & Vacavant, A. (2024). State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues. Journal of Imaging, 10(12).
@article{Krikid2024,
author = {Krikid, Fatma and Rositi, Hugo and Vacavant, Antoine},
title = {State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues},
journal = {Journal of Imaging},
volume = {10},
year = {2024},
number = {12},
article-number = {311},
pubmedid = {39728208},
issn = {2313-433X},
doi = {10.3390/jimaging10120311}
}
Microscopic image segmentation (MIS) is a fundamental task in medical imaging and biological research, essential for precise analysis of cellular structures and tissues. Despite its
importance, the segmentation process encounters significant challenges, including variability in imaging conditions, complex biological structures, and artefacts (e.g., noise), which can compromise the accuracy
of traditional methods. The emergence of deep learning (DL) has catalyzed substantial advancements in addressing these issues. This systematic literature review (SLR) provides a comprehensive overview of state-of-the-art
DL methods developed over the past six years for the segmentation of microscopic images. We critically analyze key contributions, emphasizing how these methods specifically tackle challenges in cell, nucleus, and tissue
segmentation. Additionally, we evaluate the datasets and performance metrics employed in these studies. By synthesizing current advancements and identifying gaps in existing approaches, this review not only highlights the
transformative potential of DL in enhancing diagnostic accuracy and research efficiency but also suggests directions for future research. The findings of this study have significant implications for improving methodologies
in medical and biological applications, ultimately fostering better patient outcomes and advancing scientific understanding.
Lerouge, F., Ong, É., Rositi, H., MPambani, F., Berner, L.-P., Bolbos, R., Olivier, C., Peyrin, F., Apputukan, V., Monnereau, C., Andraud, C., Chaput, F., Berthezène, Y., Braun, B., Jucker, M., Åslund, A. K. O., Nyström, S., Hammarström, P., Nilsson, K. P. R., … Parola, S. (2023). In vivo targeting and multimodal imaging of cerebral Aβ-amyloid aggregates using hybrid GdF3 nanoparticles functionalized with specific pentameric polythiophenes. Nanomedicine, 17(29), 2173–2187.
@article{Lerouge2023,
title = {In vivo targeting and multimodal imaging of cerebral A$\beta$-amyloid aggregates using hybrid GdF3 nanoparticles functionalized with specific pentameric polythiophenes},
author = {Lerouge, Frédéric and Ong, \'Elodie and Rositi, Hugo and MPambani, Francis and Berner, Lise-Prune and Bolbos, Radu and Olivier, Cécile and Peyrin, Francoise and Apputukan, Vinu and Monnereau, Cyrille and Andraud, Chantal and Chaput, Frédéric and Berthezène, Yves and Braun, Bettina and Jucker, Mathias and Åslund, Andreas K. O. and Nyström, Sofie and Hammarström, Per and Nilsson, K. Peter R. and Lindgren, Mikael and Wiart, Marlène and Chauveau, Fabien and Parola, Stéphane},
editor = {Springer},
doi = {10.2217/nnm-2022-0252},
year = {2023},
date = {2023-03-17},
journal = {Nanomedicine},
volume = {17},
number = {29},
pages = {2173--2187},
keywords = {},
pubstate = {published}
}
Chourrout, M., Roux, M., Boisvert, C., Gislard, C., Legland, D., Arganda-Carreras, I., Olivier, C., Peyrin, F., Boutin, H., Rama, N., Baron, T., Meyronet, D., Brun, E., Rositi, H., Wiart, M., & Chauveau, F. (2022). Brain virtual histology with X-ray phase-contrast tomography Part II: 3D morphologies of amyloid-beta plaques in Alzheimer’s disease models. Biomedical Optics Express, 13(3), 1640–1653.
@article{Chourrout2022b,
title = {Brain virtual histology with X-ray phase-contrast tomography Part II: 3D morphologies of amyloid-beta plaques in Alzheimer’s disease models},
author = {Chourrout, Matthieu and Roux, Margaux and Boisvert, Carlie and Gislard, Coralie and Legland, David and Arganda-Carreras, Ignacio and Olivier, Cécile and Peyrin, Françoise and Boutin, Hervé and Rama, Nicolas and Baron, Thierry and Meyronet, David and Brun, Emmanuel and Rositi, Hugo and Wiart, Marlène and Chauveau, Fabien},
editor = {of America, Optical Society},
doi = {10.1364/BOE.438890},
year = {2022},
date = {2022-03-01},
journal = {Biomedical Optics Express},
volume = {13},
number = {3},
pages = {1640--1653},
keywords = {},
pubstate = {published}
}
Chourrout, M., Rositi, H., Ong, E., Hubert, V., Paccalet, A., Foucault, L., Autret, A., Fayard, B., Olivier, C., Bolbos, R., Peyrin, F., Crola-da-Silva, C., Meyronet, D., Raineteau, O., Elleaume, H., Brun, E., Chauveau, F., & Wiart, M. (2022). Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models. Biomedical Optics Express, 13(3), 1620–1639.
@article{Chourrout2022,
title = {Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models},
author = {Chourrout, Matthieu and Rositi, Hugo and Ong, Elodie and Hubert, Violaine and Paccalet, Alexandre and Foucault, Louis and Autret, Awen and Fayard, Barbara and Olivier, Cécile and Bolbos, Radu and Peyrin, Françoise and Crola-da-Silva, Claire and Meyronet, David and Raineteau, Olivier and Elleaume, Héléne and Brun, Emmanuel and Chauveau, Fabien and Wiart, Marlene},
editor = {of America, Optical Society},
doi = {10.1364/BOE.438832},
year = {2022},
date = {2022-03-01},
journal = {Biomedical Optics Express},
volume = {13},
number = {3},
pages = {1620--1639},
keywords = {},
pubstate = {published}
}
Rositi, H., Appadoo, O. K., Mestre, D., Valarier, S., Ombret, M.-C., Gadea-Deschamps, É., Barret-Grimault, C., & Lohou, C. (2020). Presentation of a mixed reality software with a HoloLens headset for a nutrition workshop. Multimedia Tools and Applications, 80, 1945–1967.
@article{Rositi2020,
title = {Presentation of a mixed reality software with a HoloLens headset for a nutrition workshop},
author = {Rositi, Hugo and Appadoo, Owen Kevin and Mestre, Daniel and Valarier, Sylvie and Ombret, Marie-Claire and Gadea-Deschamps, Émilie and Barret-Grimault, Christine and Lohou, Christophe},
year = {2021},
date = {2020-02-27},
journal = {Multimedia Tools and Applications},
volume = {80},
pages = {1945--1967},
keywords = {biomedical, clinical study, digitalization, education therapeutic workshop, mixed reality},
doi = {10.1007/s11042-020-09687-8},
pubstate = {published}
}
Lebre, M.-A., Vacavant, A., Grand-Brochier, M., Rositi, H., Strand, R., Rosier, H., Abergel, A., Chabrot, P., & Magnin, B. (2019). A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. Computerized Medical Imaging and Graphics, 76, 101635.
@article{Lebre2019b,
title = {A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities},
author = {Lebre, Marie-Ange and Vacavant, Antoine and Grand-Brochier, Manuel and Rositi, Hugo and Strand, Robin and Rosier, Hubert and Abergel, Armand and Chabrot, Pascal and Magnin, Benoît},
doi = {10.1016/j.compmedimag.2019.05.003},
year = {2019},
date = {2019-05-28},
journal = {Computerized Medical Imaging and Graphics},
volume = {76},
pages = {101635},
keywords = {biomedical, CT and MRI volumes, Liver segmentation, Medical imaging},
pubstate = {published}
}
Lebre, M.-A., Vacavant, A., Grand-Brochier, M., Rositi, H., Abergel, A., Chabrot, P., & Magnin, B. (2019). Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme. Computers in Biology and Medicine, 110, 42–51.
@article{Lebre2019c,
title = {Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme},
author = {Lebre, Marie-Ange and Vacavant, Antoine and Grand-Brochier, Manuel and Rositi, Hugo and Abergel, Armand and Chabrot, Pascal and Magnin, Benoît},
doi = {10.1016/j.compbiomed.2019.04.014},
year = {2019},
date = {2019-05-01},
journal = {Computers in Biology and Medicine},
volume = {110},
pages = {42-51},
keywords = {Couinaud, CT and MRI volumes, Liver segmentation, Vessel segmentation},
pubstate = {published}
}
Lebre, M.-A., Vacavant, A., Grand-Brochier, M., Rositi, H., Abergel, A., Chabrot, P., & Magnin, B. (2019). Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme. Computers in Biology and Medicine.
@article{LEBRE2019,
title = {Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme},
author = {Lebre, Marie-Ange and Vacavant, Antoine and Grand-Brochier, Manuel and Rositi, Hugo and Abergel, Armand and Chabrot, Pascal and Magnin, Benoît},
doi = {https://doi.org/10.1016/j.compbiomed.2019.04.014},
issn = {0010-4825},
year = {2019},
date = {2019-01-01},
journal = {Computers in Biology and Medicine},
keywords = {Couinaud, CT and MRI volumes, Liver segmentation, Medical imaging, Vessel segmentation},
pubstate = {published}
}
Background
Proper segmentation of the liver from medical images is critical for computer-assisted diagnosis, therapy and surgical planning. Knowledge of its vascular structure allows division of the liver into eight functionally independent segments, each with its own vascular inflow, known as the Couinaud scheme. Couinaud’s description is the most widely used classification, since it is well-suited for surgery and accurate for the localization of lesions. However, automatic segmentation of the liver and its vascular structure to construct the Couinaud scheme remains a challenging task.
Methods
We present a complete framework to obtain Couinaud’s classification in three main steps; first, we propose a model-based liver segmentation, then a vascular segmentation based on a skeleton process, and finally, the construction of the eight independent liver segments. Our algorithms are automatic and allow 3D visualizations.
Results
We validate these algorithms on various databases with different imaging modalities (Magnetic Resonance Imaging (MRI) and Computed Tomography (CT)). Experimental results are presented on diseased livers, which pose complex challenges because both the overall organ shape and the vessels can be severely deformed. A mean DICE score of 0.915 is obtained for the liver segmentation, and an average accuracy of 0.98 for the vascular network. Finally, we present an evaluation of our method for performing the Couinaud segmentation thanks to medical reports with promising results.
Conclusions
We were able to automatically reconstruct 3-D volumes of the liver and its vessels on MRI and CT scans. Our goal is to develop an improved method to help radiologists with tumor localization.
Rousseau, D., Wildiez, T., Di-Tommaso, S., Rositi, H., Adrien, J., Maire, E., Langer, M., Olivier, C., Peyrin, F., & Rogowsky, P. (2015). Fast virtual histology using X-ray in-line phase tomography; application to the 3Đ anatomy of maize developing seeds. Plants Methods, 11(55).
@article{Rousseau2015,
title = {Fast virtual histology using X-ray in-line phase tomography; application to the 3Đ anatomy of maize developing seeds},
author = {Rousseau, D and Wildiez, T and Di-Tommaso, S and Rositi, H and Adrien, J and Maire, E and Langer, M and Olivier, C and Peyrin, F and Rogowsky, P},
year = {2015},
date = {2015-12-18},
journal = {Plants methods},
volume = {11},
number = {55},
doi = {10.1186/s13007-015-0098-y},
pubstate = {published}
}
Rositi, H., Frindel, C., Langer, M., Wiart, M., Olivier, C., Peyrin, F., & Rousseau, D. (2014). Computer vision tools to optimize reconstruction parameters in X-ray in-line phase tomography. Physics in Medicine and Biology, 59, 7767–7775.
@article{Rositi2014,
title = {Computer vision tools to optimize reconstruction parameters in X-ray in-line phase tomography},
author = {Rositi, H and Frindel, C and Langer, M and Wiart, M and Olivier, C and Peyrin, F and Rousseau, D},
year = {2014},
date = {2014-01-01},
journal = {Physics in Medicine and Biology},
volume = {59},
pages = {7767-7775},
keywords = {{X}-ray in-line phase tomography, biomedical, computer vision, phase retrieval},
doi = {10.1088/0031-9155/59/24/7767},
pubstate = {published}
}
Marinescu, M., Langer, M., Durand, A., Olivier, C., Chabrol, A., Rositi, H., Chauveau, F., Cho, T. H., Nighoghossian, N., Berthezène, Y., Peyrin, F., & Wiart, M. (2013). Synchrotron Radiation X-ray Phase Micro-computed Tomography as a New Method to Detect Iron Oxide Nanoparticles in the Brain. Molecular Imaging and Biology, 15(5), 552–559.
@article{Marinescu2013,
title = {Synchrotron Radiation X-ray Phase Micro-computed Tomography as a New Method to Detect Iron Oxide Nanoparticles in the Brain},
author = {Marinescu, M and Langer, M and Durand, A and Olivier, C and Chabrol, A and Rositi, H and Chauveau, F and Cho, T H and Nighoghossian, N and Berthezène, Y and Peyrin, F and Wiart, M},
doi = {10.1007/s11307-013-0639-6},
issn = {1536-1632},
year = {2013},
date = {2013-01-01},
journal = {Molecular Imaging and Biology},
volume = {15},
number = {5},
pages = {552-559},
publisher = {Springer US},
keywords = {{X}-ray tomographic microscopy; Phase contrast; Stroke; USPIO; Inflammation},
pubstate = {published}
}
Rositi, H., Frindel, C., Langer, M., Wiart, M., Olivier, C., Peyrin, F., & Rousseau, D. (2013). Information-based analysis of X-ray in-line phase tomography with application to the detection of iron oxide nanoparticles in the brain. Optics Express, 21(22), 27185.
@article{Rositi2013,
title = {Information-based analysis of X-ray in-line phase tomography with application to the detection of iron oxide nanoparticles in the brain},
author = {Rositi, H and Frindel, C and Langer, M and Wiart, M and Olivier, C and Peyrin, F and Rousseau, D},
doi = {10.1364/OE.21.027185},
issn = {1094-4087},
year = {2013},
date = {2013-01-01},
journal = {Optics Express},
volume = {21},
number = {22},
pages = {27185},
keywords = {},
pubstate = {published}
}
Refereed conference proceedings
Gobé, J., Chourrout, M., Vacavant, A., Rositi, H., & Chauveau, F. (2023). A new open-source tool for 3-dimensional analysis of white matter from xpct images (I. S. on Biomedical Imaging, Ed.).
@inproceedings{Gobe2023,
title = {A new open-source tool for 3-dimensional analysis of white matter from xpct images},
author = {Gobé, Joshua and Chourrout, Matthieu and Vacavant, Antoine and Rositi, Hugo and Chauveau, Fabien},
editor = {on Biomedical Imaging, International Symposium},
year = {2023},
date = {2023-04-18},
keywords = {},
pubstate = {published}
}
Alvarez, M., Pina, D., Rositi, H., & Vacavant, A. (2023). Comparison of UNet and DC-UNet models for an efficient segmentation and visualization of rodent hepatic vascular network from X-ray phase contrast imaging (I. S. on Biomedical Imaging, Ed.).
@inproceedings{Alvarez2023,
title = {Comparison of UNet and DC-UNet models for an efficient segmentation and visualization of rodent hepatic vascular network from X-ray phase contrast imaging},
author = {Alvarez, Matheus and Pina, Diana and Rositi, Hugo and Vacavant, Antoine},
editor = {on Biomedical Imaging, International Symposium},
year = {2023},
date = {2023-04-18},
doi = {10.1109/ISBI53787.2023.10230779},
keywords = {},
pubstate = {published}
}
Vacavant, A., Lebre, M.-A., Rositi, H., Grand-Brochier, M., & Strand, R. (2019). New Definition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation. International Workshop on Reproducible Research in Pattern Recognition, 138–149.
@inproceedings{Vacavant2019,
title = {New Definition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation},
author = {Vacavant, Antoine and Lebre, Marie-Ange and Rositi, Hugo and Grand-Brochier, Manuel and Strand, Robin},
year = {2019},
date = {2019-06-29},
doi = {10.1007/978-3-030-23987-9_13},
booktitle = {International Workshop on Reproducible Research in Pattern Recognition},
pages = {138-149},
publisher = {RRPR 2018: Reproducible Research in Pattern Recognition},
keywords = {Robustness, Segmentation},
pubstate = {published}
}
Gislard, C., Boisvert, C., Olivier, C., Peyrin, F., Wiart, M., Boutin, H., Rositi, H., & Chauveau, F. (2019). Segmentation of amyloid-βplaques in three mouse models of Alzheimer’s disease using X-ray phase contrast-computed tomography (E. M. I. Meeting, Ed.). https://www.eventclass.org/contxt_emim2019/online-program/session?s=PW10#e700
@inproceedings{Gislard2019,
title = {Segmentation of amyloid-$\beta$ plaques in three mouse models of Alzheimer’s disease using X-ray phase contrast-computed tomography},
author = {Gislard, Coralie and Boisvert, Carlie and Olivier, Cécile and Peyrin, Françoise and Wiart, Marlène and Boutin, Hervé and Rositi, Hugo and Chauveau, Fabien},
editor = {Meeting, European Molecular Imaging},
url = {https://www.eventclass.org/contxt_emim2019/online-program/session?s=PW10#e700},
year = {2019},
date = {2019-03-21},
address = {Glasgow},
keywords = {{X}-ray in-line phase tomography, biomedical},
pubstate = {published}
}
Jacquesson, T., Bosc, J., Rositi, H., Wiart, M., Chauveau, F., Peyrin, F., Rousseau, D., & Frindel, C. (2018, June 20). Synchrotron X-ray phase-constrast imaging to simulate diffusion tensor MRI: application to tractography. ISMRM. https://hal.science/hal-02057363
@inproceedings{Jacquesson2018,
title = {Synchrotron X-ray phase-constrast imaging to simulate diffusion tensor MRI: application to tractography},
author = {Jacquesson, T. and Bosc, J. and Rositi, H. and Wiart, M. and Chauveau, F. and Peyrin, F. and Rousseau, D. and Frindel, C.},
year = {2018},
date = {2018-06-20},
url = {https://hal.science/hal-02057363},
booktitle = {ISMRM},
journal = {ISMRM},
address = {Paris, France},
keywords = {{X}-ray in-line phase tomography},
pubstate = {published}
}
Pavan, A. L. M., Benabdallah, M., Lebre, M.-A., de Pina, D. R., Jaziri, F., Vacavant, A., Mtibaa, A., Ali, H. M., Grand-Brochier, M., Rositi, H., Magnin, B., Abergel, A., & Chabrot, P. (2018, April 9). A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification. ACM/SIGAPP Symposium On Applied Computing.
@inproceedings{Pavan2018,
title = {A parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification},
author = {Pavan, A.L.M. and Benabdallah, M. and Lebre, M.-A. and de Pina, D.R. and Jaziri, F. and Vacavant, A. and Mtibaa, A. and Ali, H. Mohamed and Grand-Brochier, M. and Rositi, H. and Magnin, B. and Abergel, A. and Chabrot, P.},
year = {2018},
date = {2018-04-09},
booktitle = {ACM/SIGAPP Symposium On Applied Computing},
journal = {ACM/SIGAPP Symposium On Applied Computing},
doi = {10.1145/3167132.3167167},
address = {Pau, France},
keywords = {DCE-MRI},
pubstate = {published}
}
Chauveau, F., Boutin, H., Meyronet, D., Rositi, H., Olivier, C., Elleaume, H., Brun, E., Peyrin, F., & Wiart, M. (2018, March 21). Virtual histology of animal and human brains with Alzheimer’s disease. 13th European Molecular Imaging Meeting (EMIM 2018). https://eventclass.org/contxt_emim2018/online-program/session?s=PS-06#149
@inproceedings{Chauveau2018a,
title = {Virtual histology of animal and human brains with Alzheimer's disease},
author = {Chauveau, F. and Boutin, H. and Meyronet, D. and Rositi, H. and Olivier, C. and Elleaume, H. and Brun, E. and Peyrin, F. and Wiart, M.},
year = {2018},
date = {2018-03-21},
url = {https://eventclass.org/contxt_emim2018/online-program/session?s=PS-06#149},
booktitle = {13th European Molecular Imaging Meeting (EMIM 2018)},
address = {San Sebastian, Spain},
keywords = {{X}-ray in-line phase tomography},
pubstate = {published}
}
Rositi, H., Leborgne, A., Lebre, M.-A., Grand-Brochier, M., Chauveau, F., Wiart, M., Olivier, C., Peyrin, F., & Vacavant, A. (2018, January 27). Computational 2D and 3D extraction of liver mouse vasculature within synchrotron radiation X-ray phase tomography. NEUBIAS Symposium. https://uca.hal.science/hal-01914837
@inproceedings{rositi2018a,
title = {Computational 2D and 3D extraction of liver mouse vasculature within synchrotron radiation X-ray phase tomography},
author = {Rositi, H. and Leborgne, A. and Lebre, M-A. and Grand-Brochier, M. and Chauveau, F. and Wiart, M. and Olivier, C. and Peyrin, F. and Vacavant, A.},
year = {2018},
date = {2018-01-27},
booktitle = {NEUBIAS Symposium},
address = {Szeged, Hungary},
url = {https://uca.hal.science/hal-01914837},
keywords = {{X}-ray in-line phase tomography},
pubstate = {published}
}
Rositi, H., & Lohou, C. (2017, April 1). Utilisation d’un moteur de développement de jeux vidéo pour le développement d’une application basique d’imagerie médicale. Recherche En Imagerie Et Technologies Pour La Santé. https://hal.science/hal-01658248
@inproceedings{Rositi2017b,
title = {Utilisation d'un moteur de développement de jeux vidéo pour le développement d'une application basique d'imagerie médicale},
author = {Rositi, H. and Lohou, C.},
year = {2017},
date = {2017-04-01},
booktitle = {Recherche en Imagerie et Technologies pour la Santé},
address = {Lyon, France},
url = {https://hal.science/hal-01658248},
keywords = {},
pubstate = {published}
}
Rositi, H., Grand-Brochier, M., Courbon, J., Vacavant, A., & Lohou, C. (2017, April 1). Prototypage rapide d’applications d’imagerie médicale exploitant un casque de réalité virtuelle. Recherche En Imagerie Et Technologies Pour La Santé. https://hal.science/hal-01658237v1
@inproceedings{Rositi2017c,
title = {Prototypage rapide d'applications d'imagerie médicale exploitant un casque de réalité virtuelle},
author = {Rositi, H. and Grand-Brochier, M. and Courbon, J. and Vacavant, A. and Lohou, C.},
year = {2017},
date = {2017-04-01},
booktitle = {Recherche en Imagerie et Technologies pour la Santé},
address = {Lyon, France},
url = {https://hal.science/hal-01658237v1},
pubstate = {published}
}
Rositi, H., Hubert, V., Weber, L., Ong, E., Berner, L.-P., Frindel, C., Rousseau, D., Olivier, C., Langer, M., Cho, T.-H., Nighoghossian, N., Berthezène, Y., Peyrin, F., Chauveau, F., & Wiart, M. (2017, January 1). High throughput three-dimensional imaging of myelin fibers in the whole mouse brain. User -Dedicated Microsymposium 2 (UDM2) ESRF User Meeting 2017 - Quantitative Coherent X -Ray Diffraction Imaging. https://hal.archives-ouvertes.fr/hal-01466159
@inproceedings{Rositi2017a,
title = {High throughput three-dimensional imaging of myelin fibers in the whole mouse brain},
author = {Rositi, H and Hubert, V and Weber, L and Ong, E and Berner, L -P and Frindel, C and Rousseau, D and Olivier, C and Langer, M and Cho, T -H and Nighoghossian, N and Berthezène, Y and Peyrin, F and Chauveau, F and Wiart, M},
url = {https://hal.archives-ouvertes.fr/hal-01466159},
year = {2017},
date = {2017-01-01},
booktitle = {User -Dedicated Microsymposium 2 (UDM2) ESRF user meeting 2017 - Quantitative coherent X -ray diffraction imaging},
address = {Grenoble, France},
keywords = {},
pubstate = {published}
}
Di-Tommaso, S., Rositi, H., Langer, M., Frindel, C., Olivier, C., Peyrin, F., & Rousseau, D. (2016). Comparison of propagation-based phase contrast tomography and full-field optical coherence tomography on bone tissue. European Congress of Microscopy, 16th.
@inproceedings{DiTommaso2016,
title = {Comparison of propagation-based phase contrast tomography and full-field optical coherence tomography on bone tissue},
author = {Di-Tommaso, S and Rositi, H and Langer, M and Frindel, C and Olivier, C and Peyrin, F and Rousseau, D},
doi = {10.1002/9783527808465.EMC2016.6266},
year = {2016},
date = {2016-09-01},
booktitle = {European Congress of Microscopy},
number = {16th},
address = {Lyon, France},
keywords = {},
pubstate = {published}
}
Rositi, H., Frindel, C., Langer, M., Wiart, M., Olivier, C., Peyrin, F., & Rousseau, D. (2015). Analyse en échelles pour l’optimisation du paramètre de reconstruction en tomographie X de phase; Application à l’imagerie du cerveau du petit animal. GRETSI, XXV.
@inproceedings{Rositi2015,
title = {Analyse en échelles pour l'optimisation du paramètre de reconstruction en tomographie X de phase; Application à l'imagerie du cerveau du petit animal},
author = {Rositi, H and Frindel, C and Langer, M and Wiart, M and Olivier, C and Peyrin, F and Rousseau, D},
year = {2015},
date = {2015-09-01},
booktitle = {GRETSI},
number = {XXV},
address = {Lyon, France},
keywords = {},
pubstate = {published}
}
Rositi, H., Desestret, V., Chauveau, F., Cho, T.-H., Ong, E., Berner, L.-P., Weber, L., Langer, M., Olivier, C., Frindel, C., Nighoghossian, N., Berthezène, Y., Peyrin, F., Rousseau, D., & Wiart, M. (2015, January 1). Fast virtual histology of unstained mouse brains using in-line X-ray phase tomography. European Molecular Imaging Meeting. https://hal.science/hal-01413413
@inproceedings{Rositi2015b,
title = {Fast virtual histology of unstained mouse brains using in-line X-ray phase tomography},
author = {Rositi, H and Desestret, V and Chauveau, F and Cho, T-H and Ong, E and Berner, L -P and Weber, L and Langer, M and Olivier, C and Frindel, C and Nighoghossian, N and Berthezène, Y and Peyrin, F and Rousseau, D and Wiart, M},
year = {2015},
date = {2015-01-01},
booktitle = {European Molecular Imaging Meeting},
url = {https://hal.science/hal-01413413},
address = {Tübingen, Germany},
keywords = {},
pubstate = {published}
}
Ong, E., Vadcard, F., Verdurand, M., Rositi, H., Peyrin, F., Berthezène, Y., Nighoghossian, N., Lerouge, F., Parola, S., Zimmer, L., Wiart, M., & Chauveau, F. (2015, January 1). In vivo evaluation of a hybrid nanoparticle for molecular imaging of amyloid aggregation. European Molecular Imaging Meeting. https://hal.science/hal-01207666v1
@inproceedings{Ong2015,
title = {In vivo evaluation of a hybrid nanoparticle for molecular imaging of amyloid aggregation},
author = {Ong, E and Vadcard, F and Verdurand, M and Rositi, H and Peyrin, F and Berthezène, Y and Nighoghossian, N and Lerouge, F and Parola, S and Zimmer, L and Wiart, M and Chauveau, F},
year = {2015},
date = {2015-01-01},
booktitle = {European Molecular Imaging Meeting},
url = {https://hal.science/hal-01207666v1},
address = {Tübungen, Germany},
keywords = {},
pubstate = {published}
}
Berner, L. P., Vadcard, F., Rositi, H., Chauveau, F., Cho, T. H., Ong, E., Durand, A., Nighoghossian, N., Berthezène, Y., Parola, S., & Wiart, M. (2014, January 1). Investigation of a fluorescent magnetic hybrid nanoprobe for stroke imaging. European Molecular Imaging Meeting. https://hal.science/hal-01044427
@inproceedings{Berner2014,
title = {Investigation of a fluorescent magnetic hybrid nanoprobe for stroke imaging},
author = {Berner, L P and Vadcard, F and Rositi, H and Chauveau, F and Cho, T H and Ong, E and Durand, A and Nighoghossian, N and Berthezène, Y and Parola, S and Wiart, M},
year = {2014},
date = {2014-01-01},
booktitle = {European Molecular Imaging Meeting},
address = { Antwerp, Belgium},
url = {https://hal.science/hal-01044427},
keywords = {},
pubstate = {published}
}
Rositi, H., Frindel, C., Langer, M., Wiart, M., Olivier, C., Peyrin, F., & Rousseau, D. (2014, January 1). Tomographie de phase par rayonnement synchrotron appliquée à la détection de nanoparticules d’oxyde de fer dans le cerveau de souris. Journées d’Imageries Optiques Non Conventionnelles.
@inproceedings{Rositi2014b,
title = {Tomographie de phase par rayonnement synchrotron appliquée à la détection de nanoparticules d'oxyde de fer dans le cerveau de souris},
author = {Rositi, H and Frindel, C and Langer, M and Wiart, M and Olivier, C and Peyrin, F and Rousseau, D},
year = {2014},
date = {2014-01-01},
booktitle = {Journées d’imageries optiques non conventionnelles},
address = {Paris, France},
keywords = {},
pubstate = {published}
}
Chabrol, A., Rositi, H., Marinescu, M., Langer, M., Olivier, C., Peyrin, F., Frindel, C., Wiart, M., & Berthezène, Y. (2013, January 1). Synchrotron radiation micro-CT imaging of the mouse brain. European Congress of Radiology.
@inproceedings{Chabrol2013,
title = {Synchrotron radiation micro-CT imaging of the mouse brain},
author = {Chabrol, A and Rositi, H and Marinescu, M and Langer, M and Olivier, C and Peyrin, F and Frindel, C and Wiart, M and Berthezène, Y},
year = {2013},
date = {2013-01-01},
booktitle = {European Congress of Radiology},
address = {Vienna, Austria},
doi = {10.1594/ecr2013/B-0890},
keywords = {},
pubstate = {published}
}
Others
Rositi, H. (2015). LoG3D plugin for Icy. https://icy.bioimageanalysis.org/plugin/log3dcreatis/
@misc{Rositi2015c,
title = {LoG3D plugin for Icy},
author = {Rositi, Hugo},
url = {https://icy.bioimageanalysis.org/plugin/log3dcreatis/},
year = {2015},
date = {2015-01-01},
keywords = {},
pubstate = {published}
}
PhD Thesis
Rositi, H. (2015). Information based approach of the phase contrast imaging by synchrotron radiation. Preclinical applications to brain imaging of the small animal. [PhD thesis, INSA Lyon]. https://hal.archives-ouvertes.fr/tel-01243528
@phdthesis{Rositi2015a,
title = {Information based approach of the phase contrast imaging by synchrotron radiation. Preclinical applications to brain imaging of the small animal. },
author = {Rositi, Hugo},
url = {https://hal.archives-ouvertes.fr/tel-01243528},
year = {2015},
date = {2015-10-01},
school = {INSA Lyon},
keywords = {},
pubstate = {published}
}