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  Classifying primary progressive aphasias individually with support vector machine approaches in MRI data

Bisenius, S., Mueller, K., Diehl-Schmid, J., Fassbender, K., Jessen, F., Kassubek, J., et al. (2016). Classifying primary progressive aphasias individually with support vector machine approaches in MRI data. Poster presented at 10th International Conference on Frontotemporal Dementias, Munich, Germany.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-F123-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-F124-5
Genre: Poster

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 Creators:
Bisenius, Sandrine1, Author              
Mueller, Karsten2, Author              
Diehl-Schmid, Janine, Author
Fassbender, K., Author
Jessen, F., Author
Kassubek, J., Author
Kornhuber, T., Author
Schneider, A., Author
Stuke, Katharina1, Author              
Danek, A., Author
Otto, M., Author
Schroeter, Matthias L.1, Author              
FTLD Study Group Germany, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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 Dates: 2016-08-31
 Publication Status: Not specified
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: -
 Degree: -

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Title: 10th International Conference on Frontotemporal Dementias
Place of Event: Munich, Germany
Start-/End Date: 2016-08-31 - 2016-09-02

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