Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. Successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, requires large amounts of data for model building and optimization. To help overcome such limitations in the context of brain...
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Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
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TN_cdi_doaj_primary_oai_doaj_org_article_74fba8976325481aa6d8e108dfb3a498
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74fba8976325481aa6d8e108dfb3a498
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ISSN
2052-4463
E-ISSN
2052-4463
DOI
10.1038/s41597-024-04157-4
