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pro vyhledávání: '"Chauvin, Laurent"'
Autor:
Chauvin, Laurent
The contributions of this thesis stem from technology developed to analyse large sets of volumetric images in terms of atom-like features extracted in 3D image space, following SIFT algorithm in 2D image space. New feature properties are introduced i
Externí odkaz:
http://arxiv.org/abs/2208.12361
This paper proposes to extend local image features in 3D to include invariance to discrete symmetry including inversion of spatial axes and image contrast. A binary feature sign $s \in \{-1,+1\}$ is defined as the sign of the Laplacian operator $\nab
Externí odkaz:
http://arxiv.org/abs/2205.15456
Autor:
Carluer, Jean-Baptiste, Chauvin, Laurent, Luo, Jie, Wells III, William M., Machado, Ines, Harmouche, Rola, Toews, Matthew
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric medical image data. The primary operations of the 3D SIFT code are imp
Externí odkaz:
http://arxiv.org/abs/2112.10258
Autor:
Chauvin, Laurent, Toews, Matthew
Subject ID labels are unique, anonymized codes that can be used to group all images of a subject while maintaining anonymity. ID errors may be inadvertently introduced manually error during enrollment and may lead to systematic error into machine lea
Externí odkaz:
http://arxiv.org/abs/2110.04055
We propose a novel pairwise distance measure between image keypoint sets, for the purpose of large-scale medical image indexing. Our measure generalizes the Jaccard index to account for soft set equivalence (SSE) between keypoint elements, via an ada
Externí odkaz:
http://arxiv.org/abs/2103.06966
Publikováno v:
Proc. Computational Diffusion MRI, MICCAI Workshop, Qu\'ebec City, Canada, September 2017
So far, fingerprinting studies have focused on identifying features from single-modality MRI data, which capture individual characteristics in terms of brain structure, function, or white matter microstructure. However, due to the lack of a framework
Externí odkaz:
http://arxiv.org/abs/1709.06151
Autor:
Chauvin, Laurent, Kumar, Kuldeep, Wachinger, Christian, Vangel, Marc, de Guise, Jacques, Desrosiers, Christian, Wells, William, Toews, Matthew
Publikováno v:
In NeuroImage 1 January 2020 204
Autor:
Egger, Jan, Tokuda, Junichi, Chauvin, Laurent, Freisleben, Bernd, Nimsky, Christopher, Kapur, Tina, Wells III, William M.
Publikováno v:
Int J Med Robot. 2012 September, 8(3). pp. 282-290
We present the integration of the OpenIGTLink network protocol for image-guided therapy (IGT) with the medical prototyping platform MeVisLab. OpenIGTLink is a new, open, simple and extensible network communication protocol for IGT. The protocol provi
Externí odkaz:
http://arxiv.org/abs/1309.1863
Publikováno v:
In NeuroImage December 2018 183:212-226
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