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. 2017 Jul 25;11:380. doi: 10.3389/fnhum.2017.00380

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Copyright © 2017 Youssofzadeh, McGuinness, Maguire and Wong-Lin.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Weight (per region) maps modeled by multi-kernel learning (MKL) using GM-MRI data. Rendered MKL weights on a template. The results from a single modality GM-MRI data with an average of 75% contribution to (A) AD-vs.-HE, (B) MCI-vs.-HE and (C) AD-vs.-MCI classification problems. Weights for PiB-PET with lower (25% or less) contribution are not shown.