{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T01:26:14Z","timestamp":1776993974841,"version":"3.51.4"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030009366","type":"print"},{"value":"9783030009373","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00937-3_47","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:26:08Z","timestamp":1536794768000},"page":"405-413","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Youbao","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam P.","family":"Harrison","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammadhadi","family":"Bagheri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronald M.","family":"Summers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"issue":"2","key":"47_CR1","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.ejca.2008.10.026","volume":"45","author":"EA Eisenhauer","year":"2009","unstructured":"Eisenhauer, E.A., Therasse, P., et al.: New response evaluation criteria in solid tumours: revised RECIST guideline. Eur. J. Cancer 45(2), 228\u2013247 (2009)","journal-title":"Eur. J. Cancer"},{"key":"47_CR2","volume-title":"Lecture Notes: Urology","author":"AV Kaisary","year":"2016","unstructured":"Kaisary, A.V., Ballaro, A., Pigott, K.: Lecture Notes: Urology. Wiley, Hoboken (2016). 84"},{"key":"47_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.ejca.2015.10.014","volume":"53","author":"SH Yoon","year":"2016","unstructured":"Yoon, S.H., Kim, K.W., et al.: Observer variability in RECIST-based tumour burden measurements: a meta-analysis. Eur. J. Cancer 53, 5\u201315 (2016)","journal-title":"Eur. J. Cancer"},{"key":"47_CR4","doi-asserted-by":"crossref","unstructured":"Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: European Conference on Computer Vision, pp. 483\u2013499 (2016)","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"47_CR5","doi-asserted-by":"crossref","unstructured":"Chu, X., Yang, W., et al.: Multi-context attention for human pose estimation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 5669\u20135678 (2017)","DOI":"10.1109\/CVPR.2017.601"},{"key":"47_CR6","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., et al.: Realtime multi-person 2D pose estimation using part affinity fields. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1302\u20131310 (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"Yang, W., Li, S., et al.: Learning feature pyramids for human pose estimation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1290\u20131299 (2017)","DOI":"10.1109\/ICCV.2017.144"},{"key":"47_CR8","unstructured":"Jaderberg, M., Simonyan, K., et al.: Spatial transformer networks. In: Advances in Neural Information Processing Systems, pp. 2017\u20132025 (2015)"},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., et al.: Deep residual learning for image recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"47_CR10","doi-asserted-by":"crossref","unstructured":"Yan, K., Wang, X., et al.: Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. arXiv:1711.10535 (2017)","DOI":"10.1109\/CVPR.2018.00965"},{"key":"47_CR11","doi-asserted-by":"crossref","unstructured":"Lin, T.Y. and Doll\u00e1r, P., et al.: Feature pyramid networks for object detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 936\u2013944 (2017)","DOI":"10.1109\/CVPR.2017.106"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00937-3_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T00:22:37Z","timestamp":1694564557000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00937-3_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009366","9783030009373"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00937-3_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"13 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2018.org\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}