Stephanie Powell

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The large amount of imaging data collected in several ongoing multi-center studies requires automated methods to delineate brain structures of interest. We have previously reported on using artificial neural networks (ANN) to define subcortical brain structures. Here we present several automated segmentation methods using multidimensional registration. A(More)
The study compared psychosocial risk behaviors of adolescents who were deaf or hard of hearing with those of their hearing peers in a residential treatment facility. Statistically significant differences emerged between groups. The adolescents who were deaf or hard of hearing demonstrated clinically higher scores than those of their hearing peers on the(More)
In this paper we describe a new method for quantifying metabolic asymmetry modulo structural hemispheric differences. The study of metabolic asymmetry in Alzheimer's disease (AD) serves as a driving application. The approach is based on anatomical atlas construction by large deformation diffeomorphic metric mapping (LDDMM) first introduced in [1]. Using(More)
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