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    Chapter and Conference Paper

    Combining Multiple Atlases to Estimate Data-Driven Map**s Between Functional Connectomes Using Optimal Transport

    Connectomics is a popular approach for understanding the brain with neuroimaging data. Yet, a connectome generated from one atlas is different in size, topology, and scale compared to a connectome generated fr...

    Javid Dadashkarimi, Amin Karbasi in Medical Image Computing and Computer Assis… (2022)

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    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)

  3. No Access

    Chapter and Conference Paper

    Dimension Projection Among Languages Based on Pseudo-Relevant Documents for Query Translation

    Using top-ranked documents retrieved in response to a query of a user has been shown to be an effective approach to improve the quality of query translation in dictionary-based cross-language information retri...

    Javid Dadashkarimi, Mahsa S. Shahshahani in Advances in Information Retrieval (2017)