{"id":41621,"date":"2023-11-20T01:41:09","date_gmt":"2023-11-20T07:41:09","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/pancreatic-ct-cbct-seg-pub\/"},"modified":"2023-11-20T01:41:09","modified_gmt":"2023-11-20T07:41:09","slug":"pancreatic-ct-cbct-seg-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/pancreatic-ct-cbct-seg-pub\/","title":{"rendered":"PANCREATIC-CT-CBCT-SEG-PUB"},"template":"","class_list":["post-41621","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p>Han, X., Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Greer, H., Yorke, E., Mageras, G., &amp; Niethammer, M. (2021). <strong>Deep\u2010learning\u2010based image registration and automatic segmentation of organs\u2010at\u2010risk in cone\u2010beam CT scans from high\u2010dose radiation treatment of pancreatic cancer<\/strong>. Medical Physics, 48(6), 3084\u20133095. <a href=\"https:\/\/doi.org\/10.1002\/mp.14906\">https:\/\/doi.org\/10.1002\/mp.14906<\/a><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1002\/mp.14906","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/41621","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=41621"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}