Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Odyssée Merveille"'
Publikováno v:
PLoS ONE, Vol 19, Iss 12, p e0311439 (2024)
Cerebrovascular segmentation is a crucial preliminary task for many computer-aided diagnosis tools dealing with cerebrovascular pathologies. Over the last years, deep learning based methods have been widely applied to this task. However, classic deep
Externí odkaz:
https://doaj.org/article/8a642b6bcbd84c9b9cfbb95ed7fa6601
Publikováno v:
BHI
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Jul 2021, virtuel, France
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Jul 2021, virtuel, France
International audience; The segmentation of blood vessels in medical images is a challenging task as they are thin, connected and tortuous. The detection of a connected vascular network is of the utmost importance in clinical applications (e.g. blood
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ada57fd292767458accb58568cf1b1
https://doi.org/10.1109/bhi50953.2021.9508543
https://doi.org/10.1109/bhi50953.2021.9508543
Autor:
Nadia Bennani, Sylvie Cazalens, Vincent Cheutet, Claire Leschi, Odyssée Merveille, Camille Moriot, Delphine Muller, Timothée Pecatte, Catherine Pothier, Christophe Rigotti, Hervé Rivano, Nicolas Stouls
Publikováno v:
COLLOQINSA 2021-7e Colloque pédagogie et formation
COLLOQINSA 2021-7e Colloque pédagogie et formation, May 2021, Valenciennes, France. pp.1-6
7e Colloque pédagogie et formation 2021
7e Colloque pédagogie et formation 2021, May 2021, Valenciennes, France. pp.1-6
HAL
COLLOQINSA 2021-7e Colloque pédagogie et formation, May 2021, Valenciennes, France. pp.1-6
7e Colloque pédagogie et formation 2021
7e Colloque pédagogie et formation 2021, May 2021, Valenciennes, France. pp.1-6
HAL
National audience; Face au constat d’une hétérogénéité grandissante des savoir-faire et connaissances en informatique des étudiants à l’arrivée en première année, et le risque de son exacerbation dans le contexte du « nouveau bac », n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a30b1fa8011ad99b53bbbdf39a5f0c1
https://inria.hal.science/hal-03230531/document
https://inria.hal.science/hal-03230531/document
Autor:
Pierre Lantelme, Thibaud Mathis, Didier Vray, Cedric Rochepeau, Brahim Harbaoui, Charles Jabour, Damien Garcia, Odyssée Merveille, Olivier Loria
Publikováno v:
International Symposium on Biomedical Imaging
International Symposium on Biomedical Imaging, Apr 2021, Nice (virtual), France
ISBI
International Symposium on Biomedical Imaging, Apr 2021, Nice (virtual), France
ISBI
International audience; The Foveal Avascular Zone (FAZ) is commonly analyzed from OCT-A images to diagnose retinal diseases. When quantitative measures are required, ophthalmologists manually draw the contours of the FAZ and compute several anatomica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778be143e50076dca23b31e85073e8c4
https://hal.archives-ouvertes.fr/hal-03154386
https://hal.archives-ouvertes.fr/hal-03154386
Publikováno v:
ICPR
International Conference on Pattern Recognition (ICPR)
International Conference on Pattern Recognition (ICPR), 2020, Milan, Italy. pp.3528-3535, ⟨10.1109/ICPR48806.2021.9412362⟩
International Conference on Pattern Recognition (ICPR), 2020, Milan, Italy
International Conference on Pattern Recognition (ICPR)
International Conference on Pattern Recognition (ICPR), 2020, Milan, Italy. pp.3528-3535, ⟨10.1109/ICPR48806.2021.9412362⟩
International Conference on Pattern Recognition (ICPR), 2020, Milan, Italy
International audience; The accurate knowledge of vascular network geometry is crucial for many clinical applications such as cardiovascular disease diagnosis and surgery planning. Vessel enhancement algorithms are often a key step to improve the rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae0db1a80f3ff076c7f41f0a1c371117
https://doi.org/10.1109/icpr48806.2021.9412362
https://doi.org/10.1109/icpr48806.2021.9412362
Publikováno v:
Reproducible Research in Pattern Recognition ISBN: 9783030764227
RRPR
Reproducible Research in Pattern Recognition (RRPR)
Reproducible Research in Pattern Recognition (RRPR), 2021, Milan, Italy. pp.121-135, ⟨10.1007/978-3-030-76423-4_8⟩
RRPR
Reproducible Research in Pattern Recognition (RRPR)
Reproducible Research in Pattern Recognition (RRPR), 2021, Milan, Italy. pp.121-135, ⟨10.1007/978-3-030-76423-4_8⟩
International audience; This paper focuses on the structure and the concept of the frameworkused in the vesselness filters benchmark that was recentlyintroduced. Vesselness filters are used to detect the presence ofvessels in an image. There exists a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8395298e5b3fbd5248d02011de38a789
https://doi.org/10.1007/978-3-030-76423-4_8
https://doi.org/10.1007/978-3-030-76423-4_8
Autor:
Germain Forestier, Jessica Schmitz, Friedrich Feuerhake, Cédric Wemmert, Thomas Lampert, Odyssée Merveille
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, Elsevier, In press, pp.106157. ⟨10.1016/j.cmpb.2021.106157⟩
Computer Methods and Programs in Biomedicine, In press, pp.106157. ⟨10.1016/j.cmpb.2021.106157⟩
Computer Methods and Programs in Biomedicine, inPress, pp.106157. ⟨10.1016/j.cmpb.2021.106157⟩
Computer Methods and Programs in Biomedicine, Elsevier, In press, pp.106157. ⟨10.1016/j.cmpb.2021.106157⟩
Computer Methods and Programs in Biomedicine, In press, pp.106157. ⟨10.1016/j.cmpb.2021.106157⟩
Computer Methods and Programs in Biomedicine, inPress, pp.106157. ⟨10.1016/j.cmpb.2021.106157⟩
International audience; Objective: This article presents an automatic image processing framework to extract quantitative high-level information describing the micro-environment of glomeruli in consecutive whole slide images (WSIs) processed with diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::034ef7793a11174272937d592bffcbbd
https://hal.archives-ouvertes.fr/hal-03224927/document
https://hal.archives-ouvertes.fr/hal-03224927/document
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, 2019, 28 (8), pp.3848-3859. ⟨10.1109/TIP.2019.2901706⟩
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 28 (8), pp.3848-3859. ⟨10.1109/TIP.2019.2901706⟩
IEEE Transactions on Image Processing, 2019, 28 (8), pp.3848-3859. ⟨10.1109/TIP.2019.2901706⟩
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2019, 28 (8), pp.3848-3859. ⟨10.1109/TIP.2019.2901706⟩
International audience; Curvilinear structure restoration in image processing procedures is a difficult task, which can be compounded when these structures are thin, i.e. when their smallest dimension is close to the resolution of the sensor.Many rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e9108c3d946b232096098c240b243a
https://hal.science/hal-01832636
https://hal.science/hal-01832636
Autor:
Thomas Lampert, Odyssée Merveille, Cédric Wemmert, Germain Forestier, Jessica Schmitz, Friedrich Feuerhake
Publikováno v:
Arxiv
Arxiv, 2019, pp.905-909
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.905-909, ⟨10.1109/ISBI.2019.8759266⟩
ISBI
Arxiv, 2019, pp.905-909
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Apr 2019, Venise, Italy. pp.905-909, ⟨10.1109/ISBI.2019.8759266⟩
ISBI
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019); International audience; An important part of Digital Pathology is the analysis of multiple digitised whole slide images from differently stained tissue sections. It is common p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb1e0044ba3ad00d19783707a9a94de
https://hal.archives-ouvertes.fr/hal-03013405
https://hal.archives-ouvertes.fr/hal-03013405
Autor:
Marie-Ange Lebre, Manuel Grand-Brochier, Odyssée Merveille, Benoît Magnin, Pascal Chabrot, Armand Abergel, Antoine Vacavant
Publikováno v:
ICIP
2018 25th IEEE International Conference on Image Processing (ICIP)
2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. pp.3523-3527, ⟨10.1109/ICIP.2018.8451310⟩
2018 25th IEEE International Conference on Image Processing (ICIP)
2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. pp.3523-3527, ⟨10.1109/ICIP.2018.8451310⟩
Medical imaging systems as MRI and CT, provide useful information on the liver vascular network for surgical planning. However, manual segmentation is difficult and time consuming; an automatic procedure could thus help radiologists in their analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3d62c79ef978fdf3cf9c6d9f2cef94c
https://doi.org/10.1109/icip.2018.8451310
https://doi.org/10.1109/icip.2018.8451310