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Adaptation of a computer-based white matter lesion segmentation algorithm for the need of large cohort studies

MPS-Authors
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Lampe,  Leonie
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schäfer,  Alexander
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Steele,  Christopher
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Arélin,  Katrin
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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Villringer,  Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Bazin,  Pierre-Louis
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Lampe, L., Schäfer, A., Steele, C., Arélin, K., Fritzsch, D., Schroeter, M. L., et al. (2015). Adaptation of a computer-based white matter lesion segmentation algorithm for the need of large cohort studies. Poster presented at 23rd Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto, ON, Canada.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002C-02E5-9
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