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  A Population-Based Gaussian Mixture Model Incorporating 18F-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue Classes

Divine, M., Katiyar, P., Kohlhofer, U., Quintanilla-Martinez, L., Pichler, B., & Disselhorst, J. (2016). A Population-Based Gaussian Mixture Model Incorporating 18F-FDG PET and Diffusion-Weighted MRI Quantifies Tumor Tissue Classes. Journal of Nuclear Medicine, 57(3), 473-479. doi:10.2967/jnumed.115.163972.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-25EF-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-25F0-1
Genre: Journal Article

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 Creators:
Divine, M.R.1, Author
Katiyar, P.2, Author           
Kohlhofer, U.1, Author
Quintanilla-Martinez, L.1, Author
Pichler, B., Author
Disselhorst , J.A., Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
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Language(s): eng - English
 Dates: 2016-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.2967/jnumed.115.163972
 Degree: -

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Title: Journal of Nuclear Medicine
  Other : J. Nucl. Med.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Society of Nuclear Medicine
Pages: - Volume / Issue: 57 (3) Sequence Number: - Start / End Page: 473 - 479 Identifier: ISSN: 0161-5505
CoNE: https://pure.mpg.de/cone/journals/resource/991042725914954