Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Georges Le Goualher"'
Autor:
Jean-François Le Gargasson, Aymeric Perchant, Elisabeth Laemmel, Eric Vicaut, Magalie Genet, Georges Le Goualher
Publikováno v:
Journal of Vascular Research. 41:400-411
This study investigated the capability of fibered confocal fluorescence microscopy (FCFM) to provide in vivo microvascular observations. FCFM is specifically designed for in vivo in situ observation thanks to a probe composed of a fiber bundle and mi
Autor:
Georges Le Goualher, Noor Jehan Kabani, Curtis L. Baker, Serge O. Dumoulin, Richard G. Bittar, Alan C. Evans, G. Bruce Pike
Publikováno v:
Cerebral Cortex. 10:454-463
The location of human area V5 (or MT) has been correlated with the intersection of the ascending limb of the inferior temporal sulcus (ALITS) and the lateral occipital sulcus (LO). This study was undertaken to attempt a replication and quantification
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 11:1295-1315
We propose a method for the 3D segmentation and representation of cortical folds with a special emphasis on the cortical sulci. These cortical structures are represented using "active ribbons". Active ribbons are built from active surfaces, which rep
Autor:
Elisabeth, Laemmel, Magalie, Genet, Georges, Le Goualher, Aymeric, Perchant, Jean-François, Le Gargasson, Eric, Vicaut
Publikováno v:
Journal of vascular research. 41(5)
This study investigated the capability of fibered confocal fluorescence microscopy (FCFM) to provide in vivo microvascular observations. FCFM is specifically designed for in vivo in situ observation thanks to a probe composed of a fiber bundle and mi
Autor:
Benjamin Abrat, Georges Le Goualher, Aymeric Perchant, Magalie Genet, Frederic Berier, Nicholas Ayache, Charlotte Cave, Bertrand Viellerobe
Publikováno v:
Proc. of MICCAI'04
Proc. of MICCAI'04, 2004, Saint-Malo, France, France. pp.761--768
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004 ISBN: 9783540229773
MICCAI (2)
Proc. of MICCAI'04, 2004, Saint-Malo, France, France. pp.761--768
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004 ISBN: 9783540229773
MICCAI (2)
This paper presents an integrated endoscope-compatible Fibered Confocal Fluorescence Microscope (FCFM) for medical imaging, the F-400. In situ high resolution images can be obtained thanks to a set of flexible miniaturized optical probes of 0.5 to 1.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a318727cd14dfa3bed5e894651ef5889
https://inria.hal.science/inria-00615981
https://inria.hal.science/inria-00615981
Publikováno v:
NeuroImage. 13(2)
A validation study was conducted to assess the accuracy of the algorithm developed by MacDonald et al. (1999) for measuring cortical thickness. This algorithm automatically determines the cortical thickness by 3-D extraction of the inner and outer su
Autor:
Pierre Hellier, Christian Barillot, Georges Le Goualher, Nicholas Ayache, D. Louis Collins, Isabelle Corouge, Bernard Gibaud, Alan C. Evans, Grégoire Malandain
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001 ISBN: 9783540426974
MICCAI
4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01)
4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01), 2001, Utrecht, The Netherlands, Netherlands. pp.258--265
HAL
MICCAI
4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01)
4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01), 2001, Utrecht, The Netherlands, Netherlands. pp.258--265
HAL
Although numerous methods to register brains of different individuals have been proposed, few work has been done to evaluate the performances of different registration methods on the same database of subjects. In this paper, we propose an evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40007d5ba04be688bca037d902f72d42
https://doi.org/10.1007/3-540-45468-3_31
https://doi.org/10.1007/3-540-45468-3_31
Autor:
Hilleke E. Hulshoff Pol, Anne-Marie Argenti, Alan C. Evans, Georges Le Goualher, William Baare, Christian Barillot, Dorret I. Boomsma, A Zouaoui, Michel Duyme
Publikováno v:
NeuroImage, 11(5), 564-574. Academic Press Inc.
le Goualher, G, Argenti, A M, Duyme, M, Baare, W F C, Hulshoff Poll, H E, Boomsma, D I, Zouaoui, A, Barillot, C & Evans, A C 2000, ' Statistical sulcal shape comparisons: Application to the detection of genetic encoding of the central sulcus shape ', NeuroImage, vol. 11, no. 5, pp. 564-574 . https://doi.org/10.1006/nimg.2000.0559
le Goualher, G, Argenti, A M, Duyme, M, Baare, W F C, Hulshoff Poll, H E, Boomsma, D I, Zouaoui, A, Barillot, C & Evans, A C 2000, ' Statistical sulcal shape comparisons: Application to the detection of genetic encoding of the central sulcus shape ', NeuroImage, vol. 11, no. 5, pp. 564-574 . https://doi.org/10.1006/nimg.2000.0559
Principal Component Analysis allows a quantitative description of shape variability with a restricted num- ber of parameters (or modes) which can be used to quantify the difference between two shapes through the computation of a modal distance. A sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b78d4fa08e15d1a37d82fe76e2629ae
https://research.vu.nl/en/publications/b18c13db-9dc2-44ef-a627-48e1710e1514
https://research.vu.nl/en/publications/b18c13db-9dc2-44ef-a627-48e1710e1514
Publikováno v:
Medical Imaging: Image Processing
This paper presents a general statistical framework for modeling deformable object. This model is devoted being used in digital brain atlases. We first present a numerical modeling of brain sulci. We present also a method to characterize the high int
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 ISBN: 9783540651369
MICCAI
MICCAI
In earlier work [1], we demonstrated that cortical registration could be improved on simulated data by using blurred, geometric, imagebased features (L vv ) or explicitly extracted and blurred sulcal traces on simulated data. Here, the technique is m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35e73a3651b0371bc73c93b569775d4
https://doi.org/10.1007/bfb0056286
https://doi.org/10.1007/bfb0056286