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Advanced Structural and Functional Network Applications to Improve Neurosurgical Treatment of Epilepsy

dc.creatorJohnson, Graham Walter
dc.date.accessioned2023-05-17T20:41:07Z
dc.date.created2023-05
dc.date.issued2023-03-01
dc.date.submittedMay 2023
dc.identifier.urihttp://hdl.handle.net/1803/18141
dc.description.abstractTBD
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectNeurosurgery, Epilepsy, Connectomics, Connectivity, Functional, Structural, Machine Learning, Deep learning, Diffusion Imaging, SEEG, CCEP, DWI, MRI, SPES
dc.titleAdvanced Structural and Functional Network Applications to Improve Neurosurgical Treatment of Epilepsy
dc.typeThesis
dc.date.updated2023-05-17T20:41:07Z
dc.type.materialtext
thesis.degree.namePhD
thesis.degree.levelDoctoral
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorVanderbilt University Graduate School
local.embargo.terms2025-05-01
local.embargo.lift2025-05-01
dc.creator.orcid0000-0002-9154-4315
dc.contributor.committeeChairEnglot, Dario J
dc.contributor.committeeChairMiga, Michael I


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