Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emilien Royer"'
Autor:
Pierre Daudé, Thomas Troalen, Adèle L.C. Mackowiak, Emilien Royer, Davide Piccini, Jérôme Yerly, Josef Pfeuffer, Frank Kober, Sylviane Confort Gouny, Monique Bernard, Matthias Stuber, Jessica A.M. Bastiaansen, Stanislas Rapacchi
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss 2, Pp 101048- (2024)
ABSTRACT: Background: Metabolic diseases can negatively alter epicardial fat accumulation and composition, which can be probed using quantitative cardiac chemical shift encoded (CSE) cardiovascular magnetic resonance (CMR) by mapping proton-density f
Externí odkaz:
https://doaj.org/article/706e0cb319fb42a685e0db8be40c5334
Autor:
Pierre Daude, Thomas Troalen, Adèle Mackowiak, Emilien Royer, Davide Piccini, Jérome Yerly, Josef Pfeuffer, Frank Kober, Sylviane Confort Gouny, Monique Bernard, Matthias Stuber, Jessica Bastiaansen, Stanislas Rapacchi
Publikováno v:
Archives of Cardiovascular Diseases Supplements. 15:238
Publikováno v:
ICDAR
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. ⟨10.1109/ICDAR.2017.64⟩
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. ⟨10.1109/ICDAR.2017.64⟩
International audience; Fig. 1. Illustration of CORE filtering with SIFT (keypoints+features) for p = 0.01 and σ = 32.125 on SmartDOC dataset sample (magazine002). Blue and red points are respectively kept and discarded keypoints. Abstract-Reducing
Publikováno v:
Computer Vision and Image Understanding
Computer Vision and Image Understanding, 2017, 158, pp.115-125. ⟨10.1016/j.cviu.2017.01.005⟩
Computer Vision and Image Understanding, Elsevier, 2017, 158, pp.115-125. ⟨10.1016/j.cviu.2017.01.005⟩
Computer Vision and Image Understanding, 2017, 158, pp.115-125. ⟨10.1016/j.cviu.2017.01.005⟩
Computer Vision and Image Understanding, Elsevier, 2017, 158, pp.115-125. ⟨10.1016/j.cviu.2017.01.005⟩
A generic pre-filtering method of point descriptors is proposed.This filter relies on a statistical approach using a Kernel Density Estimator.This method can be applied on both binary and floating point descriptors. In this paper, we propose a generi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::951e2d4ad3c47973999b6ca2899591fe
https://hal-univ-tln.archives-ouvertes.fr/hal-01873102/document
https://hal-univ-tln.archives-ouvertes.fr/hal-01873102/document
Publikováno v:
VISAPP (1)