Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification

@article{Min2014MaximumMarginBR,
  title={Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification},
  author={Rui Min and Jian Cheng and True Price and Guorong Wu and Dinggang Shen},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2014},
  volume={17 Pt 2},
  pages={212-9}
}
In order to establish the correspondences between different brains for comparison, spatial normalization based morphometric measurements have been widely used in the analysis of Alzheimer's disease (AD). In the literature, different subjects are often compared in one atlas space, which may be insufficient in revealing complex brain changes. In this paper, instead of deploying one atlas for feature extraction and classification, we propose a maximum-margin based representation learning (MMRL… CONTINUE READING
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