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dc.contributor.author Pestilli, Franco en
dc.contributor.author Caiafa, Cesar en
dc.date.accessioned 2016-04-25T02:23:26Z en
dc.date.available 2016-04-25T02:23:26Z en
dc.date.issued 2016-04-26 en
dc.identifier.uri http://hdl.handle.net/2022/20807
dc.description.abstract A collection of raw diffusion-weighted magnetic resonance imaging data, fiber tractography solutions, and associated derivatives. en
dc.description.sponsorship CTSI GLUE grant funds (NIH TR000008) to Franco Pestilli en
dc.language.iso en_US en
dc.relation.uri purl.dlib.indiana.edu/iusw/data/2022/ TO BE ADDED en
dc.rights The contents are copyrighted by Franco Pestilli and is released here under the Creative Commons Attribution 3.0 Unported license. This license includes the following terms: You are free to share. to copy, distribute and transmit the work and to remix, to adapt the work under the following conditions: attribution, you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. en
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en
dc.subject Connectome en
dc.subject Brain en
dc.subject Tensor en
dc.subject Diffusion imaging en
dc.subject MRI en
dc.subject tractography en
dc.subject computational en
dc.subject neuroscience en
dc.title Decoding brain connectomes by encoding anatomical structure in multidimensional tensor-space en
dc.type Virtual Machine Image en
dc.identifier.doi https://doi.org/10.5967/P9VC75
dc.altmetrics.display false en


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