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  Support vector machine classification enables detection of primary progressive aphasia subtypes with MRI

Bisenius, S., Mueller, K., Danek, A., Diehl-Schmid, J., Fassbender, K., Foerstl, H., et al. (2015). Support vector machine classification enables detection of primary progressive aphasia subtypes with MRI. Talk presented at Annual Meeting of the German Association for Psychiatry, Psychotherapy and Psychosomatics (DGPPN). Berlin, Germany. 2015-11-25 - 2015-11-28.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-F11B-E Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-F11C-C
Genre: Talk

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 Creators:
Bisenius, Sandrine1, Author              
Mueller, Karsten2, Author              
Danek, Adrian, Author
Diehl-Schmid, Janine, Author
Fassbender, Klaus, Author
Foerstl, Hans, Author
Giese, Armin, Author
Holger, Jahn, Author
Jessen, Frank, Author
Kassubek, Jan, Author
Landwehrmeyer, Bernhard, Author
Lauer, Martin, Author
Ludolph, Albert, Author
Otto, Markus, Author
Johannes, Prudlo, Author
Schneider, Anja, Author
Stuke, Katharina1, Author              
Schroeter, Matthias L.1, 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: 2015-11-25
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
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 Identifiers: -
 Degree: -

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Title: Annual Meeting of the German Association for Psychiatry, Psychotherapy and Psychosomatics (DGPPN)
Place of Event: Berlin, Germany
Start-/End Date: 2015-11-25 - 2015-11-28

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