Zobrazeno 1 - 10
of 73
pro vyhledávání: '"N, Azzabou"'
Publikováno v:
JMV-Journal de Médecine Vasculaire. 47:242-249
Vascular hemodialysis access is a very precious asset for patients with end-stage renal failure. Ideally complications in these accesses should be detected early in order to treat them in time. The aim of this study was to evaluate the effectiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::236c2bb3c7189dca474f769fda245ced
https://doi.org/10.1016/j.jdmv.2022.10.010
https://doi.org/10.1016/j.jdmv.2022.10.010
Publikováno v:
Informatika, Vol 0, Iss 3, Pp 5-13 (2016)
Results on development of the basic concept of the medical image analysis methodology are presented. The techniques used in the research are based on adaptation and utilization of the gene-ralized image features for quantitative interpretation of mus
Externí odkaz:
https://doaj.org/article/b1a284f64a284ff4ab0a6e9318747119
Publikováno v:
Magnetic resonance in medicine. 78(3)
To introduce an ultrashort echo time (UTE) based method for quantitative mapping of short-TFrom a set of at least five UTE images of the same slice, a long- T2* map, a fat-fraction map, and a map of short-TThe imaged short-TThe proposed method allows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::70f8bbc8cd0112b4ece84be692fd8f2a
https://pubmed.ncbi.nlm.nih.gov/27699843
https://pubmed.ncbi.nlm.nih.gov/27699843
Publikováno v:
Handbook of biomedical imaging : methodologies and clinical research
Handbook of biomedical imaging : methodologies and clinical research, Springer, pp.437-454, 2015, 9780387097497; 9780387097480. ⟨10.1007/978-0-387-09749-7_24⟩
Handbook of Biomedical Imaging ISBN: 9780387097480
Handbook of biomedical imaging : methodologies and clinical research, Springer, pp.437-454, 2015, 9780387097497; 9780387097480. ⟨10.1007/978-0-387-09749-7_24⟩
Handbook of Biomedical Imaging ISBN: 9780387097480
International audience; In this chapter, we explore diffusion tensor estimation, regularization and classification. To this end, we introduce a variationalmethod for joint estimation and regularization of diffusion tensor fields from noisy raw data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf436fc264eae9fe988a596b1e873c56
https://hal-centralesupelec.archives-ouvertes.fr/hal-02423504
https://hal-centralesupelec.archives-ouvertes.fr/hal-02423504
Akademický článek
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Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 15(Pt 1)
In this paper, we propose a novel approach for segmenting the skeletal muscles in MRI automatically. In order to deal with the absence of contrast between the different muscle classes, we proposed a principled mathematical formulation that integrates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d41386b3470411e6aad54985d24bd63c
https://pubmed.ncbi.nlm.nih.gov/23285597
https://pubmed.ncbi.nlm.nih.gov/23285597
Publikováno v:
Journal Africain d'Hépato-Gastroentérologie. 8:113-114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f79e6d4f5c41469d234c0a8e1a0ddde6
https://doi.org/10.1007/s12157-014-0544-x
https://doi.org/10.1007/s12157-014-0544-x
Akademický článek
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Autor:
N. Azzabou, L. Likforman-Sulem
Publikováno v:
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::403fbc43fdeb125b8535b85ea11ad43a
https://doi.org/10.1109/icpr.2004.1334144
https://doi.org/10.1109/icpr.2004.1334144
Publikováno v:
ICASSP
In this paper, we are interested in using multiwavelet transforms in the context of progressive and lossless coding of multi component images. More precisely, multiwavelet decompositions that map integers to integers are considered since they guarant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e536ac465c7bada7e490467b4b855589
https://doi.org/10.1109/icassp.2002.5745414
https://doi.org/10.1109/icassp.2002.5745414