{"id":45717,"date":"2023-11-20T05:30:06","date_gmt":"2023-11-20T11:30:06","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/brats-tcga-gbm-pub\/"},"modified":"2023-11-20T05:30:06","modified_gmt":"2023-11-20T11:30:06","slug":"brats-tcga-gbm-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/brats-tcga-gbm-pub\/","title":{"rendered":"BRATS-TCGA-GBM-PUB"},"template":"","class_list":["post-45717","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Bakas S, Akbari H, Sotiras A, Bilello M, Rozycki M, Kirby J, Freymann J, Farahani K, Davatzikos C. (2017) <strong>Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features<\/strong> Nature Scientific Data, 4:170117 DOI:<span>\u00a0<\/span> <\/span> <a href=\"https:\/\/dx.doi.org\/10.1038\/sdata.2017.117\">10.1038\/sdata.2017.117<\/a> <span> <span>\u00a0<\/span> <\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1038\/sdata.2017.117","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45717","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_citation"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}