Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Florent Grélard"'
Publikováno v:
Frontiers in Chemistry, Vol 10 (2022)
Multimodal imaging is a powerful strategy for combining information from multiple images. It involves several fields in the acquisition, processing and interpretation of images. As multimodal imaging is a vast subject area with various combinations o
Externí odkaz:
https://doaj.org/article/c36e442c93894d1d86ac16c01ccf0e83
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background Mass spectrometry imaging (MSI) is a family of acquisition techniques producing images of the distribution of molecules in a sample, without any prior tagging of the molecules. This makes it a very interesting technique for explor
Externí odkaz:
https://doaj.org/article/d36fc2c80d2f434fb9b40e6480719ae9
Autor:
Mathieu Fanuel, Florent Grélard, Loïc Foucat, Camille Alvarado, Bastien Arnaud, Anne-Laure Chateigner-Boutin, Luc Saulnier, David Legland, Hélène Rogniaux
Publikováno v:
Carbohydrate polymers. 294
This study was to investigate the distribution of water and arabinoxylan structures in growing wheat grain using two complementary imaging techniques, magnetic resonance microimaging (μMRI) and mass spectrometry imaging (MSI). μMRI showed an inhomo
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, BioMed Central, 2021, 22 (1), pp.1-17. ⟨10.1186/s12859-020-03954-z⟩
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
BMC Bioinformatics, BioMed Central, 2021, 22 (1), pp.1-17. ⟨10.1186/s12859-020-03954-z⟩
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
International audience; Background : Mass spectrometry imaging (MSI) is a family of acquisition techniques producing images of the distribution of molecules in a sample, without any prior tagging of the molecules. This makes it a very interesting tec
Publikováno v:
Medical Image Analysis
Medical Image Analysis, Elsevier, 2017, 42, pp.89-101. ⟨10.1016/j.media.2017.07.008⟩
Medical Image Analysis, Elsevier, 2017, 42, pp.89-101. ⟨10.1016/j.media.2017.07.008⟩
This paper presents new methods to study the shape of tubular organs. Determining precise cross-sections is of major importance to perform geometrical measurements, such as diameter, wall-thickness estimation or area measurement. Our first contributi
Publikováno v:
International Conference on Image Processing Theory, Tools and Applications
International Conference on Image Processing Theory, Tools and Applications, 2016, oulu, Finland
IPTA
International Conference on Image Processing Theory, Tools and Applications, 2016, oulu, Finland
IPTA
Curve-skeletons encode both geometrical and topological information of 3D volumes (sets of voxels), and are key to many applications. However, due to the complexity and variability of the shapes, there is a variety of algorithms yielding skeletons su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e92af82d204e2a1aab33ac4fee14e6c0
https://hal.archives-ouvertes.fr/hal-01437083
https://hal.archives-ouvertes.fr/hal-01437083
Publikováno v:
Computer Analysis of Images and Patterns
Computer Analysis of Images and Patterns, 2015, valetta, Malta
Computer Analysis of Images and Patterns ISBN: 9783319231167
CAIP (2)
Computer Analysis of Images and Patterns, 2015, valetta, Malta
Computer Analysis of Images and Patterns ISBN: 9783319231167
CAIP (2)
In this article we present a new method to estimate precisely the cross-section of tubular organs. Obtaining a precise cross-section is the critical step to perform quantitative analysis of those organs, for which diameter or area are often correlate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cc68da41c119601b22c095a808d3888
https://hal.archives-ouvertes.fr/hal-01437076
https://hal.archives-ouvertes.fr/hal-01437076