{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T05:25:54Z","timestamp":1737523554115,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540406013"},{"type":"electronic","value":"9783540451037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1007\/3-540-45103-x_75","type":"book-chapter","created":{"date-parts":[[2007,10,25]],"date-time":"2007-10-25T06:35:23Z","timestamp":1193294123000},"page":"565-570","source":"Crossref","is-referenced-by-count":1,"title":["Automated Interpretation of Cardiac Scintigrams"],"prefix":"10.1007","author":[{"given":"Jens","family":"Richter","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anders","family":"Ericsson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kalle","family":"\u00c5str\u00f6m","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fredrik","family":"Kahl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Edenbrant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2003,6,24]]},"reference":[{"key":"75_CR1","doi-asserted-by":"crossref","unstructured":"A. Baumberg and Hogg D. Learning flexible models from image sequences. In Proc. European Conf. on Computer Vision, ECCV\u201994, pages 299\u2013308, 1994.","DOI":"10.1007\/3-540-57956-7_34"},{"key":"75_CR2","doi-asserted-by":"crossref","unstructured":"A. Benayoun, Ayache N., and Cohen I. Adaptive meshes and nonrigid motion computation. In Proc. International Conference on Pattern Recognition, ICPR\u201994, 1994.","DOI":"10.1109\/ICPR.1994.576422"},{"issue":"6","key":"75_CR3","first-page":"355","volume":"12","author":"T.F. Cootes","year":"1994","unstructured":"T.F. Cootes, A. Hill, C.J Taylor, and Haslam J. Use of active shape models for locating structure in medical images. IEEE Trans. medical imaging, 12(6):355\u2013365, 1994.","journal-title":"IEEE Trans. medical imaging"},{"key":"75_CR4","unstructured":"T.F Cootes and C.J. Taylor. Statistical Models of Appearance for Computer Vision. University of Manchester, 2001."},{"key":"75_CR5","doi-asserted-by":"crossref","unstructured":"Rhodri H. Davies, Tim F. Cootes, John C. Waterton, and Chris J. Taylor. An efficient method for constructing optimal statistical shape models. In Medical Image Computing and Computer-Assisted Intervention MICCAI\u20192001, pages 57\u201365, 2001.","DOI":"10.1007\/3-540-45468-3_8"},{"issue":"5","key":"75_CR6","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1109\/TMI.2002.1009388","volume":"21","author":"R. H. Davies","year":"2002","unstructured":"Rhodri H. Davies, Carole J. Twining, Tim F. Cootes, John C. Waterton, and Chris J. Taylor. A minimum description length approach to statistical shape modeling. IEEE Trans. medical imaging, 21(5):525\u2013537, 2002.","journal-title":"IEEE Trans. medical imaging"},{"key":"75_CR7","doi-asserted-by":"crossref","unstructured":"C. Kambhamettu and D.B. Goldgof. Points correspondences recovery in non-rigid motion. In Proc. Conf. Computer Vision and Pattern Recognition, CVPR\u2019 92, pages 222\u2013237, 1992.","DOI":"10.1109\/CVPR.1992.223271"},{"issue":"10","key":"75_CR8","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/42.811260","volume":"18","author":"A. Kelemen","year":"1999","unstructured":"A. Kelemen, G. Szekely, and Gerig G. Elastic model-based segmentation of 3d neuroradiological data sets. IEEE Trans. medical imaging, 18(10):828\u2013839, 1999.","journal-title":"IEEE Trans. medical imaging"},{"key":"75_CR9","doi-asserted-by":"crossref","unstructured":"Y. Wang, B.S. Peterson, and L.H Staib. Shape-based 3d surface correspondence using geodesics and local geometry. In Proc. Conf. Computer Vision and Pattern Recognition, CVPR\u201900, pages 644\u2013651, 2000.","DOI":"10.1109\/CVPR.2000.854933"}],"container-title":["Lecture Notes in Computer Science","Image Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45103-X_75","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T21:46:42Z","timestamp":1737496002000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45103-X_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9783540406013","9783540451037"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/3-540-45103-x_75","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2003]]}}}