{"id":42101,"date":"2023-11-20T02:09:51","date_gmt":"2023-11-20T08:09:51","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/4d-lung-pub\/"},"modified":"2023-11-20T02:09:51","modified_gmt":"2023-11-20T08:09:51","slug":"4d-lung-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/4d-lung-pub\/","title":{"rendered":"4D-LUNG-PUB"},"template":"","class_list":["post-42101","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Hugo, G. D., Weiss, E., Sleeman, W. C., Balik, S., Keall, P. J., Lu, J., &amp; Williamson, J. F. (2017). <strong>A longitudinal four-dimensional computed tomography and cone beam computed tomography dataset for image-guided radiation therapy research in lung cancer<\/strong>. In Medical Physics (Vol. 44, Issue 2, pp. 762\u2013771). Wiley. <a href=\"https:\/\/doi.org\/10.1002\/mp.12059\">https:\/\/doi.org\/10.1002\/mp.12059<\/a><\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1002\/mp.12059","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/42101","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=42101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}