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

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Bisenius,  Sandrine
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Mueller,  Karsten
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Stuke,  Katharina
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schroeter,  Matthias L.
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-F11B-E
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