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2 Result(s)

within Javid Dadashkarimi Remove this filter English Remove this filter Artificial Intelligence Remove this filter Computer Imaging, Vision, Pattern Recognition and Graphics Remove this filter

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  1. No Access

    Chapter and Conference Paper

    A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences

    Functional connectivity derived from functional magnetic resonance imaging data has been extensively used to characterize individual and group differences. While these connectomes have traditionally been const...

    Javid Dadashkarimi, Siyuan Gao, Erin Yeagle… in Connectomics in NeuroImaging (2019)

  2. No Access

    Chapter and Conference Paper

    Transforming Connectomes to “Any” Parcellation via Graph Matching

    Brain connectomes—the structural or functional connections between distinct brain regions—are widely used for neuroimaging studies. However, different ways of brain parcellation are proposed and used by differ...

    Qinghao Liang, Javid Dadashkarimi, Wei Dai… in Imaging Systems for GI Endoscopy, and Grap… (2022)