A Machine Learning Approach for Estimating the Attenuation Map for a Combined 
PET/MR Scanner

Hofmann, M

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A Machine Learning Approach for Estimating the Attenuation Map for a Combined PET/MR Scanner

Hofmann, M. (2007). A Machine Learning Approach for Estimating the Attenuation Map for a Combined PET/MR Scanner. Diploma Thesis, Eberhard-Karls-Universität, Tübingen, Germany.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CF25-C Version Permalink: https://hdl.handle.net/21.11116/0000-0004-43FD-4

Genre: Thesis

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Creators:
Hofmann, M^{1, 2}, Author

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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Dates: Date issued: 2007

Publication Status: Issued

Pages: -

Publishing info: Tübingen, Germany : Eberhard-Karls-Universität

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Identifiers: BibTex Citekey: 5598

Degree: Diploma

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