Now showing items 1-4 of 4

    • Hainline, Allison Elisabeth (2018-09-19)
      Department: Biostatistics
      As neuroimaging studies become more numerous and data are increasingly available, the need for improved understanding of the statistical properties of such data increases as well. In this dissertation, we focus on the ...
    • Paul, Justin Stuart (2016-04-13)
      Department: Computer Science
      Deep learning has been used successfully in supervised classification tasks in order to learn complex patterns. The purpose of the study is to apply this machine learning technique to classifying images of brains with ...
    • Fan, Qiuyun (2013-04-01)
      Department: Biomedical Engineering
      Reading is a complex cognitive behavior, which relies on the incorporation of a network of brain regions. White matter is the information transfer pathway between distant brain regions, and thus plays an important role in ...
    • Covington, Kelsie Jade (2011-12-22)
      Department: Computer Science
      Clinical research with medical imaging typically involves large-scale data analysis with interdependent software toolsets tied together in a processing workflow. Grid queuing software has become more advanced to meet the ...