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  Identifying neuroimaging markers of motor disability in acute stroke by machine learning techniques

Rehme, A. K., Volz, L. J., Feis, D.-L., Bomilcar-Focke, I., Liebig, T., Eickhoff, S. B., et al. (2015). Identifying neuroimaging markers of motor disability in acute stroke by machine learning techniques. Cerebral Cortex, 25(9), 3046-3056. doi:10.1093/cercor/bhu100.

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 Creators:
Rehme, Anne Kathrin1, Author              
Volz, Lukas J.1, Author              
Feis, Delia-Lisa2, Author              
Bomilcar-Focke, Iris, Author
Liebig, Timo, Author
Eickhoff, Simon B., Author
Fink, Gereon R.3, Author              
Grefkes, Christian1, Author              
Affiliations:
1Neuromodulation und Neurorehabilitation, Junior Research Groups, Max-Planck-Institut für neurologische Forschung, Managing Director: D. Yves von Cramon, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149660              
2Translational Neurocircuitry, Research Groups, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149668              
3Wolf-Dieter Heiss, Emeriti, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149649              

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Language(s): eng - English
 Dates: 2015
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/cercor/bhu100
 Degree: -

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Title: Cerebral Cortex
Source Genre: Journal
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Publ. Info: New York, NY : Oxford University Press
Pages: - Volume / Issue: 25 (9) Sequence Number: - Start / End Page: 3046 - 3056 Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440