{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:46:32Z","timestamp":1761597992664,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030009335"},{"type":"electronic","value":"9783030009342"}],"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\/978-3-030-00934-2_61","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:24:33Z","timestamp":1536794673000},"page":"544-552","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":54,"title":["Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio"],"prefix":"10.1007","author":[{"given":"Nanqing","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Kampffmeyer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodan","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zeya","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Xing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,26]]},"reference":[{"key":"61_CR1","doi-asserted-by":"crossref","unstructured":"Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.: DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. In: IEEE TPAMI (2017)","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"61_CR2","doi-asserted-by":"crossref","unstructured":"Dallal, A.H., Agarwal, C., Arbabshirani, M.R., Patel, A., Moore, G.: Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images. In: Proceedings of the SPIE, vol. 10134, id. 101340K 10, p. 134 (2017)","DOI":"10.1117\/12.2254136"},{"key":"61_CR3","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1097\/00000441-191904000-00007","volume":"157","author":"CS Danzer","year":"1919","unstructured":"Danzer, C.S.: The cardiothoracic ratio. Am. J. Med. Sci. 157, 513\u2013554 (1919)","journal-title":"Am. J. Med. Sci."},{"issue":"2","key":"61_CR4","first-page":"304","volume":"23","author":"D Demner-Fushman","year":"2016","unstructured":"Demner-Fushman, D., et al.: Preparing a collection of radiology examinations for distribution and retrieval. JAMIA 23(2), 304\u201310 (2016)","journal-title":"JAMIA"},{"issue":"2","key":"61_CR5","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/j.ijcard.2011.10.125","volume":"166","author":"Konstantinos Dimopoulos","year":"2013","unstructured":"Dimopoulos, K., et al.: Cardiothoracic ratio from postero-anterior chest radiographs: a simple, reproducible and independent marker of disease severity and outcome in adults with congenital heart disease. Int. J. Cardiol. 166 (2011)","journal-title":"International Journal of Cardiology"},{"key":"61_CR6","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: NIPS, pp. 2672\u20132680 (2014)"},{"key":"61_CR7","doi-asserted-by":"crossref","unstructured":"Gretton, A., Smola, A., Huang, J., Schmittfull, M., Borgwardt, K., Sch\u00f6lkopf, B.: Covariate shift and local learning by distribution matching, pp. 131\u2013160. MIT Press, Cambridge (2009)","DOI":"10.7551\/mitpress\/7921.003.0013"},{"key":"61_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"61_CR9","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"61_CR10","unstructured":"Luc, P., Couprie, C., Chintala, S., Verbeek, J.: Semantic segmentation using adversarial networks. In: NIPS Workshop on Adversarial Training (2016)"},{"issue":"1","key":"61_CR11","doi-asserted-by":"publisher","first-page":"71","DOI":"10.2214\/ajr.174.1.1740071","volume":"174","author":"J Shiraishi","year":"2000","unstructured":"Shiraishi, J., et al.: Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists\u2019 detection of pulmonary nodules. Am. J. Roentgenol. 174(1), 71\u201374 (2000)","journal-title":"Am. J. Roentgenol."},{"key":"61_CR12","unstructured":"Shu, R., Bui, H., Narui, H., Ermon, S.: A DIRT-T approach to unsupervised domain adaptation. In: ICLR (2018)"},{"key":"61_CR13","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1097\/PAT.0b013e3283513f54","volume":"44","author":"F Tavora","year":"2012","unstructured":"Tavora, F., et al.: Cardiomegaly is a common arrhythmogenic substrate in adult sudden cardiac deaths, and is associated with obesity. Pathology 44, 187\u201391 (2012)","journal-title":"Pathology"},{"key":"61_CR14","doi-asserted-by":"crossref","unstructured":"Tzeng, E., Hoffman, J., Saenko, K., Darrell, T.: Adversarial discriminative domain adaptation. In: CVPR, pp. 2962\u20132971. IEEE (2017)","DOI":"10.1109\/CVPR.2017.316"},{"issue":"1","key":"61_CR15","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.media.2005.02.002","volume":"10","author":"B Van Ginneken","year":"2006","unstructured":"Van Ginneken, B., Stegmann, M.B., Loog, M.: Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Med. Image Anal. 10(1), 19\u201340 (2006)","journal-title":"Med. Image Anal."}],"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\/978-3-030-00934-2_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T00:06:27Z","timestamp":1694563587000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00934-2_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009335","9783030009342"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00934-2_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"26 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"}]}}