{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T08:16:30Z","timestamp":1759565790084},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642388675"},{"type":"electronic","value":"9783642388682"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38868-2_38","type":"book-chapter","created":{"date-parts":[[2013,6,25]],"date-time":"2013-06-25T12:19:41Z","timestamp":1372162781000},"page":"450-462","source":"Crossref","is-referenced-by-count":34,"title":["Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models"],"prefix":"10.1007","author":[{"given":"Nathan","family":"Lay","sequence":"first","affiliation":[]},{"given":"Neil","family":"Birkbeck","sequence":"additional","affiliation":[]},{"given":"Jingdan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"S. Kevin","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"38_CR1","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.media.2004.06.008","volume":"8","author":"J. Yang","year":"2004","unstructured":"Yang, J., Duncan, J.S.: 3D image segmentation of deformable objects with joint shape-intensity prior models using level sets. Medical Image Analysis\u00a08(3), 285\u2013294 (2004)","journal-title":"Medical Image Analysis"},{"doi-asserted-by":"crossref","unstructured":"Zheng, Y., Georgescu, B., Ling, H., Zhou, S.K., Scheuering, M., Comaniciu, D.: Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. In: CVPR, pp. 194\u2013201. IEEE (2009)","key":"38_CR2","DOI":"10.1109\/CVPR.2009.5206807"},{"doi-asserted-by":"crossref","unstructured":"Ling, H., Zhou, S.K., Zheng, Y., Georgescu, B., Suehling, M., Comaniciu, D.: Hierarchical, learning-based automatic liver segmentation. In: CVPR (2008)","key":"38_CR3","DOI":"10.1109\/CVPR.2008.4587393"},{"issue":"4","key":"38_CR4","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1016\/j.media.2010.04.002","volume":"14","author":"S.K. Zhou","year":"2010","unstructured":"Zhou, S.K.: Shape regression machine and efficient segmentation of left ventricle endocardium from 2D b-mode echocardiogram. Medical Image Analysis\u00a014(4), 563\u2013581 (2010)","journal-title":"Medical Image Analysis"},{"key":"38_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1007\/978-3-642-23626-6_42","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011","author":"T. Kohlberger","year":"2011","unstructured":"Kohlberger, T., Sofka, M., Zhang, J., Birkbeck, N., Wetzl, J., Kaftan, J., Declerck, J., Zhou, S.K.: Automatic multi-organ segmentation using learning-based segmentation and level set optimization. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol.\u00a06893, pp. 338\u2013345. Springer, Heidelberg (2011)"},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s11548-007-0135-z","volume":"2","author":"A. Shimizu","year":"2007","unstructured":"Shimizu, A., Ohno, R., Ikegami, T., Kobatake, H., Nawano, S., Smutek, D.: Segmentation of multiple organs in non-contrast 3D abdominal CT images. International Journal of Computer Assisted Radiology and Surgery\u00a02, 135\u2013142 (2007)","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"doi-asserted-by":"crossref","unstructured":"Sofka, M., Zhang, J., Zhou, S.K., Comaniciu, D.: Multiple object detection by sequential Monte Carlo and hierarchical detection network. In: CVPR, June 13-18 (2010)","key":"38_CR7","DOI":"10.1109\/CVPR.2010.5539842"},{"doi-asserted-by":"crossref","unstructured":"Liu, D., Zhou, S.K., Bernhardt, D., Comaniciu, D.: Search strategies for multiple landmark detection by submodular maximization. In: CVPR. IEEE (2010)","key":"38_CR8","DOI":"10.1109\/CVPR.2010.5540016"},{"unstructured":"Criminisi, A., Shotton, J., Bucciarelli, S.: Decision forests with long-range spatial context for organ localization in ct volumes. In: MICCAI-PMMIA Workshop (2009)","key":"38_CR9"},{"key":"38_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1007\/978-3-642-18421-5_11","volume-title":"Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging","author":"A. Criminisi","year":"2011","unstructured":"Criminisi, A., Shotton, J., Robertson, D., Konukoglu, E.: Regression forests for efficient anatomy detection and localization in CT studies. In: Menze, B., Langs, G., Tu, Z., Criminisi, A. (eds.) MICCAI 2010 Workshop MVC. LNCS, vol.\u00a06533, pp. 106\u2013117. Springer, Heidelberg (2011)"},{"key":"38_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/978-3-642-33454-2_9","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"R. Cuingnet","year":"2012","unstructured":"Cuingnet, R., Prevost, R., Lesage, D., Cohen, L.D., Mory, B., Ardon, R.: Automatic detection and segmentation of kidneys in 3D CT images using random forests. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol.\u00a07512, pp. 66\u201374. Springer, Heidelberg (2012)"},{"unstructured":"Tu, Z.: Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering. In: ICCV, pp. 1589\u20131596 (2005)","key":"38_CR12"},{"doi-asserted-by":"crossref","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: The elements of statistical learning. Springer Series in Statistics, vol.\u00a01 (2001)","key":"38_CR13","DOI":"10.1007\/978-0-387-21606-5_1"},{"doi-asserted-by":"crossref","unstructured":"Datar, M., Indyk, P.: Locality-sensitive hashing scheme based on p-stable distributions. In: SCG 2004: Proceedings of the Twentieth Annual Symposium on Computational Geometry, pp. 253\u2013262. ACM Press (2004)","key":"38_CR14","DOI":"10.1145\/997817.997857"},{"key":"38_CR15","first-page":"537","volume-title":"Proceedings of the 40th Annual ACM Symposium on Theory of Computing, STOC 2008","author":"S. Dasgupta","year":"2008","unstructured":"Dasgupta, S., Freund, Y.: Random projection trees and low dimensional manifolds. In: Proceedings of the 40th Annual ACM Symposium on Theory of Computing, STOC 2008, pp. 537\u2013546. ACM, New York (2008)"},{"key":"38_CR16","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1006\/cviu.1995.1004","volume":"61","author":"T.F. Cootes","year":"1995","unstructured":"Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models their training and application. Comput. Vis. Image Underst.\u00a061, 38\u201359 (1995)","journal-title":"Comput. Vis. Image Underst."}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38868-2_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,16]],"date-time":"2019-07-16T06:48:25Z","timestamp":1563259705000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38868-2_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642388675","9783642388682"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38868-2_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}