Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Jean-Baptiste Fasquel"'
Autor:
Patty Coupeau, Josselin Démas, Jean-Baptiste Fasquel, Lucie Hertz-Pannier, Stéphane Chabrier, Mickael Dinomais
Publikováno v:
NeuroImage: Clinical, Vol 41, Iss , Pp 103568- (2024)
Introduction: Neonatal arterial ischemic stroke (NAIS) is a common model to study the impact of a unilateral early brain insult on developmental brain plasticity and the appearance of long-term outcomes. Motor difficulties that may arise are typicall
Externí odkaz:
https://doaj.org/article/79c458a0ad28404fa821a7792ff389bc
Autor:
Paul Calès, Julien Chaigneau, Gilles Hunault, Sophie Michalak, Christine Cavaro-Menard, Jean-Baptiste Fasquel, Sandrine Bertrais, Marie-Christine Rousselet
Publikováno v:
Journal of Pathology Informatics, Vol 6, Iss 1, Pp 20-20 (2015)
Background: Liver fibrosis staging provides prognostic value, although hampered by observer variability. We used digital analysis to develop diagnostic morphometric scores for significant fibrosis, cirrhosis and fibrosis staging in chronic hepatitis
Externí odkaz:
https://doaj.org/article/4af48632841c49abb36363f034509d91
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
International Conference on Pattern Recognition and Artificial Intelligence
International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp.47-58, ⟨10.1007/978-3-031-09037-0_5⟩
International Conference on Pattern Recognition and Artificial Intelligence
International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp.47-58, ⟨10.1007/978-3-031-09037-0_5⟩
International audience; The paper addresses the fundamental task of semantic image analysis by exploiting structural information (spatial relationshipsbetween image regions). We propose to combine a deep neural network(CNN) with graph matching where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbf49760ff7ae9d6e564ea483a14bba0
https://doi.org/10.1007/978-3-031-09037-0_5
https://doi.org/10.1007/978-3-031-09037-0_5
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
Pattern Recognition and Artificial Intelligence
ICPRAI 2022-Third International Conference on Pattern Recognition and Artificial Intelligence
ICPRAI 2022-Third International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp.173-184, ⟨10.1007/978-3-031-09037-0_15⟩
Pattern Recognition and Artificial Intelligence
ICPRAI 2022-Third International Conference on Pattern Recognition and Artificial Intelligence
ICPRAI 2022-Third International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp.173-184, ⟨10.1007/978-3-031-09037-0_15⟩
International audience; Deep learning based pipelines for semantic segmentation often ignore structural information available on annotated images used for training. We propose a novel post-processing module enforcing structural knowledge about the ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5deaf96fec5ad033e477a5297b48688e
https://doi.org/10.1007/978-3-031-09037-0_15
https://doi.org/10.1007/978-3-031-09037-0_15
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2018, 41 (5), pp.1043-1055. ⟨10.1109/TPAMI.2018.2827939⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2018, 41 (5), pp.1043-1055. ⟨10.1109/TPAMI.2018.2827939⟩
International audience; This paper presents a method for recovering and identifying image regions from an initial oversegmentation using qualitative knowledge of its content. Compared to recent works favoring spatial information and quantitative tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b01ab3e7af642b078b9e8c4396eda2
https://doi.org/10.1109/tpami.2018.2827939
https://doi.org/10.1109/tpami.2018.2827939
Publikováno v:
Plate-Forme Intelligence Artificielle
Plate-Forme Intelligence Artificielle, Jun 2020, Angers, France
HAL
Plate-Forme Intelligence Artificielle, Jun 2020, Angers, France
HAL
National audience; Die Optimierung der Kommissionierleistung in automatischen Lagern wird stark durch eine kluge Zuordnung die Artikel zu Lagerorte zum Zwecke der Kommissionierung beeinflusst. Das Lagerortzuordnungs-Problem storage location assignmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ce2504d236a5d60ece2f83fd19dc56d9
https://hal.univ-angers.fr/hal-02527743
https://hal.univ-angers.fr/hal-02527743
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030420284
The context of this work concerns the development of a connected smartwatch for the continuous daily monitoring of physiological parameters to prevent cardiovascular diseases, and for the follow-up of the efficiency of treatments, against hypertensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32be2539e41b372fba7625da6aee2a93
https://doi.org/10.1007/978-3-030-42029-1_5
https://doi.org/10.1007/978-3-030-42029-1_5
Autor:
Philippe Menei, Mickael Dinomais, Claudia N. Montero-Menei, P. Coupeau, Jean-Baptiste Fasquel, E. Mazerand
Publikováno v:
Computer Methods and Programs in Biomedicine. 214:106563
Background and ObjectivesIn order to study neural plasticity in immature brain following early brain lesion, large animal model are needed. Because of its morphological similarities with the human developmental brain, piglet is a suitable but little
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354ac16f00210d256ffb662ff05a6e2d
https://doi.org/10.1016/j.cmpb.2021.106563
https://doi.org/10.1016/j.cmpb.2021.106563
Autor:
Sébastien Lagrange, Rémy Guyonneau, Jean-Baptiste Fasquel, Flavio B.P. Malavazi, Franck Mercier
Publikováno v:
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture, Elsevier, 2018, 154, pp.71-79. ⟨10.1016/j.compag.2018.08.034⟩
Computers and Electronics in Agriculture, Elsevier, 2018, 154, pp.71-79. ⟨10.1016/j.compag.2018.08.034⟩
International audience; The purpose of the work presented in this paper is to develop a general and robust approach for autonomous robot navigation inside a crop using LiDAR (Light Detection And Ranging) data. To be as robust as possible, the robot n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2198ccdac6b605ac76f429831b90307
https://doi.org/10.1016/j.compag.2018.08.034
https://doi.org/10.1016/j.compag.2018.08.034
Autor:
Jean-Baptiste Fasquel, Mickael Dinomais, Philippe Menei, Claudia N. Montero-Menei, Isabelle Bloch, Alexandre Durandeau, Edouard Mazerand
JBF:ICPRS-19; International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcbbb604cf0c4f23ed9bf4b0c5d9351e
https://hal.telecom-paristech.fr/hal-02288061
https://hal.telecom-paristech.fr/hal-02288061