Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

@article{Smith2002AccurateRA,
  title={Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis},
  author={Stephen M. Smith and Yongyue Zhang and Mark Jenkinson and Jacqueline Chen and Paul M. Matthews and Antonio Federico and Nicola De Stefano},
  journal={NeuroImage},
  year={2002},
  volume={17},
  pages={479-489}
}
Quantitative measurement of brain size, shape, and temporal change (for example, in order to estimate atrophy) is increasingly important in biomedical image analysis applications. New methods of structural analysis attempt to improve robustness, accuracy, and extent of automation. A fully automated method of longitudinal (temporal change) analysis, SIENA, was presented previously. In this paper, improvements to this method are described, and also an extension of SIENA to a new method for cross… 

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