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  Random forest analysis of midbrain hypometabolism using [18F]-FDG PET identifies Parkinson's disease at the subject-level

Ruppert-Junck, M. C., Kräling, G., Greuel, A., Tittgemeyer, M., Timmermann, L., Drzezga, A., et al. (2024). Random forest analysis of midbrain hypometabolism using [18F]-FDG PET identifies Parkinson's disease at the subject-level. Frontiers in Computational Neuroscience, 18: 1328699. doi:10.3389/fncom.2024.1328699.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-79BF-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-79C0-1
Genre: Journal Article

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 Creators:
Ruppert-Junck, Marina C., Author
Kräling, Gunter, Author
Greuel, Andrea, Author
Tittgemeyer, Marc1, Author           
Timmermann, Lars, Author
Drzezga, Alexander, Author
Eggers, Carsten, Author
Pedrosa, David J., Author
Affiliations:
1Tittgemeyer – Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Max Planck Society, ou_2149668              

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Language(s): eng - English
 Dates: 2024
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fncom.2024.1328699
 Degree: -

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Title: Frontiers in Computational Neuroscience
  Abbreviation : Front Comput Neurosci
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lausanne : Frontiers Research Foundation
Pages: - Volume / Issue: 18 Sequence Number: 1328699 Start / End Page: - Identifier: Other: 1662-5188
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5188