Zobrazeno 1 - 10
of 56
pro vyhledávání: '"David Helbert"'
Autor:
Damien Boildieu, Tiffany Guerenne-Del Ben, Ludovic Duponchel, Vincent Sol, Jean-Michel Petit, Éric Champion, Hideaki Kano, David Helbert, Amandine Magnaudeix, Philippe Leproux, Philippe Carré
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
Coherent Raman imaging has been extensively applied to live-cell imaging in the last 2 decades, allowing to probe the intracellular lipid, protein, nucleic acid, and water content with a high-acquisition rate and sensitivity. In this context, multipl
Externí odkaz:
https://doaj.org/article/857d3add90c44a80904aad3de48c2c04
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2734 (2022)
The use of compressive sensing in several applications has allowed to capture impressive results, especially in various applications such as image and video processing and it has become a promising direction of scientific research. It provides extens
Externí odkaz:
https://doaj.org/article/3e0f7fa93fb541b6a2b6f55f6e92fa86
Publikováno v:
Journal of Neuroradiology. 50:117-118
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1055d160a085d32b3e18e1d52231f746
https://doi.org/10.1016/j.neurad.2023.01.030
https://doi.org/10.1016/j.neurad.2023.01.030
Publikováno v:
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916090
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceaee40f482b6f18d987debc8021a5ae
https://doi.org/10.1007/978-981-19-1610-6_17
https://doi.org/10.1007/978-981-19-1610-6_17
Publikováno v:
HAL
The explainability of deep networks is becoming a central issue in the deep learning community. It is the same for learning on graphs, a data structure present in many real world problems. In this paper, we propose a method that is more optimal, ligh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e56b69e7f78eeea8d70568ab5b098ae1
Publikováno v:
2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME).
High-resolution magnetic resonance imaging (MRI) provides detailed anatomical information critical for clinical application diagnosis. However, current MRIs are acquired at clinical resolutions due to the limit of physical, technological, and economi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a2293b97657f43b71bcc18678120c0
https://doi.org/10.1109/icabme53305.2021.9604810
https://doi.org/10.1109/icabme53305.2021.9604810
Publikováno v:
2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)
International Conference on Advances in Biomedical Engineering
International Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.5-8, ⟨10.1109/ICABME53305.2021.9604842⟩
International Conference on Advances in Biomedical Engineering
International Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.5-8, ⟨10.1109/ICABME53305.2021.9604842⟩
International audience; Artificial Intelligence, especially deep neural networks, have shown impressive performances for classification tasks since the last decade. In the medical field, trustworthy deep models exist but they do not provide any insig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c6253b9687ab2041f963cc767408d62
https://hal.archives-ouvertes.fr/hal-03335712
https://hal.archives-ouvertes.fr/hal-03335712
Autor:
Eric Champion, David Helbert, Philippe Leproux, Philippe Carré, Amandine Magnaudeix, Damien Boildieu
Publikováno v:
Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference
Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, Jun 2021, Munich, Germany. pp.jsiv_5_6, ⟨10.1109/CLEO/Europe-EQEC52157.2021.9541833⟩
Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, Jun 2021, Munich, Germany. pp.jsiv_5_6, ⟨10.1109/CLEO/Europe-EQEC52157.2021.9541833⟩
Coherent anti-Stokes Raman scattering (CARS) is a vibrational spectroscopy method based on a coherent χ (3) nonlinear interaction between light and matter through four-wave mixing. CARS process has been extensively used as a microscopy technique in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06a1f484c28e89ddaa003854ac0d9ab
https://hal.archives-ouvertes.fr/hal-03191353
https://hal.archives-ouvertes.fr/hal-03191353