{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T03:20:16Z","timestamp":1762917616017,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319245737"},{"type":"electronic","value":"9783319245744"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-24574-4_88","type":"book-chapter","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T07:03:02Z","timestamp":1443078182000},"page":"735-742","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Structural Edge Detection for Cardiovascular Modeling"],"prefix":"10.1007","author":[{"given":"Jameson","family":"Merkow","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuowen","family":"Tu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Kriegman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alison","family":"Marsden","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"key":"88_CR1","doi-asserted-by":"crossref","unstructured":"Doll\u00e1r, P., Zitnick, C.L.: Structured forests for fast edge detection. In: ICCV, pp. 1841\u20131848. IEEE (2013)","DOI":"10.1109\/ICCV.2013.231"},{"issue":"5","key":"88_CR2","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1088\/0031-9155\/57\/5\/1283","volume":"57","author":"W. Li","year":"2012","unstructured":"Li, W., Liao, S., Feng, Q., Chen, W., Shen, D.: Learning image context for segmentation of the prostate in ct-guided radiotherapy. Physics in Medicine and Biology\u00a057(5), 1283 (2012)","journal-title":"Physics in Medicine and Biology"},{"key":"88_CR3","doi-asserted-by":"crossref","unstructured":"Lim, J.J., Zitnick, C.L., Dollar, P.: Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. In: CVPR, pp. 3158\u20133165. IEEE (2013)","DOI":"10.1109\/CVPR.2013.406"},{"key":"88_CR4","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1146\/annurev-fluid-010313-141341","volume":"46","author":"A.L. Marsden","year":"2014","unstructured":"Marsden, A.L.: Optimization in cardiovascular modeling. Annual Review of Fluid Mechanics\u00a046, 519\u2013546 (2014)","journal-title":"Annual Review of Fluid Mechanics"},{"key":"88_CR5","unstructured":"Ren, X., Bo, L.: Discriminatively trained sparse code gradients for contour detection. In: NIPS (2012)"},{"issue":"1","key":"88_CR6","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.media.2014.09.007","volume":"19","author":"M. Schneider","year":"2015","unstructured":"Schneider, M., Hirsch, S., Weber, B., Sz\u00e9kely, G., Menze, B.H.: Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters. Med. Image Analysis\u00a019(1), 220\u2013249 (2015)","journal-title":"Med. Image Analysis"},{"issue":"10","key":"88_CR7","doi-asserted-by":"publisher","first-page":"1744","DOI":"10.1109\/TPAMI.2009.186","volume":"32","author":"Z. Tu","year":"2010","unstructured":"Tu, Z., Bai, X.: Auto-context and its application to high-level vision tasks and 3d brain image segmentation. PAMI\u00a032(10), 1744\u20131757 (2010)","journal-title":"PAMI"},{"key":"88_CR8","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Loziczonek, M., Georgescu, B., Zhou, S.K., Vega-Higuera, F., Comaniciu, D.: Machine learning based vesselness measurement for coronary artery segmentation in cardiac ct volumes. In: SPIE Medical Imaging, pp. 79621K\u201379621K. International Society for Optics and Photonics (2011)","DOI":"10.1117\/12.877233"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24574-4_88","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:37:51Z","timestamp":1601944671000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24574-4_88"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319245737","9783319245744"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24574-4_88","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"18 November 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}