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  Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model

Yeo, S. Y., Romero, J., Loper, M., Machann, J., & Black, M. (2016). Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model. Computer Methods in Biomechanics and Biomedical Engineering: Imaging Visualization, 1-8. doi:10.1080/21681163.2016.1163508.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-1D6F-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-1D70-F
Genre: Journal Article

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 Creators:
Yeo, S. Y.1, Author           
Romero, J.1, Author           
Loper, M.1, Author           
Machann, J.2, Author
Black, M.1, Author           
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Black
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Language(s): eng - English
 Dates: 2016-05-13
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Yeo:CMBBE:2016
DOI: 10.1080/21681163.2016.1163508
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Title: Computer Methods in Biomechanics and Biomedical Engineering: Imaging Visualization
Source Genre: Journal
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Publ. Info: London, GB : Taylor & Francis Online
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 8 Identifier: ISSN: 2168-1171