Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109312
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorTang, Z-
dc.creatorLi, M-
dc.creatorHu, R-
dc.creatorDev, K-
dc.date.accessioned2024-10-03T08:17:51Z-
dc.date.available2024-10-03T08:17:51Z-
dc.identifier.urihttp://hdl.handle.net/10397/109312-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rights© 2023 Tang, Li, Hu and Dev. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication Tang Z, Li M, Hu R and Dev K (2023) Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation. Front. Comput. Neurosci. 17:1272448 is available at https://doi.org/10.3389/fncom.2023.1272448.en_US
dc.subjectAnalysis of insufficient dataen_US
dc.subjectBrain diseasesen_US
dc.subjectData augmentationen_US
dc.subjectData processingen_US
dc.subjectNeuroimagingen_US
dc.subjectNeuroimaging applicationen_US
dc.titleEditorial : Advanced deep learning approaches for medical neuroimaging data with limitationen_US
dc.typeEditorial/Preface (Journal)en_US
dc.identifier.volume17-
dc.identifier.doi10.3389/fncom.2023.1272448-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in computational neuroscience, 2023, v. 17, 1272448-
dcterms.isPartOfFrontiers in computational neuroscience-
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85170688277-
dc.identifier.eissn1662-5188-
dc.identifier.artn1272448-
dc.description.validate202410 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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