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Software . 2017
License: CC BY NC
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ZENODO
Software . 2017
License: CC BY NC
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2017
License: CC BY NC
Data sources: ZENODO
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Code and data for Wang et al., "Automatic labeling of vascular structures with topological constraints via HMM", MICCAI 2017.

Authors: Wang, Xingce; Liu, Yue; Wu, Zhongke; Mou, Xiao; Zhou, Mingquan; González Ballester, Miguel A.; Zhang, Chong;

Code and data for Wang et al., "Automatic labeling of vascular structures with topological constraints via HMM", MICCAI 2017.

Abstract

The repository contains the datasets and implementation of the method described in: Wang et al., "Automatic labeling of vascular structures with topological constraints via HMM", MICCAI 2017. Please refer to the "ReadMe.txt" file for details of code setup, datasets and results. We propose a novel graph labeling approach to anatomically label vascular structures of interest. Our algorithm can handle different topologies, like circle, chain and tree. By using coordinate independent geometrical features, it does not require prior global alignment.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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