{"id":41801,"date":"2023-11-20T01:52:32","date_gmt":"2023-11-20T07:52:32","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/cc-tumor-heterogeneity-pub\/"},"modified":"2023-11-20T01:52:32","modified_gmt":"2023-11-20T07:52:32","slug":"cc-tumor-heterogeneity-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/cc-tumor-heterogeneity-pub\/","title":{"rendered":"CC-TUMOR-HETEROGENEITY-PUB"},"template":"","class_list":["post-41801","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Bowen, S. R., Yuh, W. T. C., Hippe, D. S., Wu, W., Partridge, S. C., Elias, S., Jia, G., Huang, Z., Sandison, G. A., Nelson, D., Knopp, M. V., Lo, S. S., Kinahan, P. E., &amp; Mayr, N. A. (2017). <strong>Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy<\/strong>. In Journal of Magnetic Resonance Imaging (Vol. 47, Issue 5, pp. 1388\u20131396). Wiley. <a href=\"https:\/\/doi.org\/10.1002\/jmri.25874\">https:\/\/doi.org\/10.1002\/jmri.25874<\/a><\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1002\/jmri.25874","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/41801","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=41801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}