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Thomas M. H. Hope et al.
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Chris Foulon et al.
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M. M. Watila et al.
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Age-specific CT and MRI templates for spatial normalization
Christopher Rorden et al.
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Frontiers in Neuroinformatics (2011)
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Jeremy J. Purcell et al.
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Randy L. Buckner et al.
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R. M. Lazar et al.
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B. B. Avants et al.
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