{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:46:00Z","timestamp":1742985960304,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030120283"},{"type":"electronic","value":"9783030120290"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-12029-0_39","type":"book-chapter","created":{"date-parts":[[2019,2,13]],"date-time":"2019-02-13T12:05:30Z","timestamp":1550059530000},"page":"357-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation"],"prefix":"10.1007","author":[{"given":"Tim","family":"Sodergren","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riddhish","family":"Bhalodia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ross","family":"Whitaker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua","family":"Cates","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nassir","family":"Marrouche","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shireen","family":"Elhabian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,2,14]]},"reference":[{"issue":"10","key":"39_CR1","doi-asserted-by":"publisher","first-page":"e275","DOI":"10.1016\/j.hrthm.2017.05.012","volume":"14","author":"H Calkins","year":"2017","unstructured":"Calkins, H., et al.: 2017 hrs\/ehra\/ecas\/aphrs\/solaece expert consensus statement on catheter and surgical ablation of atrial fibrillation. Hear. Rhythm 14(10), e275\u2013e444 (2017)","journal-title":"Hear. Rhythm"},{"issue":"1","key":"39_CR2","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1161\/CIRCEP.113.000689","volume":"7","author":"C McGann","year":"2014","unstructured":"McGann, C., et al.: Atrial fibrillation ablation outcome is predicted by left atrial remodeling on mri. Circ. Arrhythmia Electrophysiol. 7(1), 23\u201330 (2014)","journal-title":"Circ. Arrhythmia Electrophysiol."},{"issue":"35","key":"39_CR3","doi-asserted-by":"publisher","first-page":"2390","DOI":"10.1093\/eurheartj\/ehv233","volume":"36","author":"BJ Hansen","year":"2015","unstructured":"Hansen, B.J., et al.: Atrial fibrillation driven by micro-anatomic intramural re-entry revealed by simultaneous sub-epicardial and sub-endocardial optical mapping in explanted human hearts. Eur. Hear. J. 36(35), 2390\u20132401 (2015). https:\/\/doi.org\/10.1093\/eurheartj\/ehv233","journal-title":"Eur. Hear. J."},{"issue":"8","key":"39_CR4","doi-asserted-by":"publisher","first-page":"e005922","DOI":"10.1161\/JAHA.117.005922","volume":"6","author":"J Zhao","year":"2017","unstructured":"Zhao, J., et al.: Three-dimensional integrated functional, structural, and computational mapping to define the structural \u201cfingerprints\u201d of heart-specific atrial fibrillation drivers in human heart ex vivo. J. Am. Hear. Assoc. 6(8), e005922 (2017). https:\/\/doi.org\/10.1161\/JAHA.117.005922","journal-title":"J. Am. Hear. Assoc."},{"issue":"7","key":"39_CR5","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1109\/TMI.2015.2398818","volume":"34","author":"C Tobon-Gomez","year":"2015","unstructured":"Tobon-Gomez, C., et al.: Benchmark for algorithms segmenting the left atrium from 3d ct and mri datasets. IEEE Trans. Med. Imaging 34(7), 1460\u20131473 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"39_CR6","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1161\/CIRCEP.111.962720","volume":"5","author":"SY Ho","year":"2012","unstructured":"Ho, S.Y., Cabrera, J.A., Sanchez-Quintana, D.: Left atrial anatomy revisited. Circ. Arrhythmia Electrophysiol. 5(1), 220\u2013228 (2012)","journal-title":"Circ. Arrhythmia Electrophysiol."},{"issue":"3","key":"39_CR7","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/s11263-007-0054-z","volume":"76","author":"M Rousson","year":"2008","unstructured":"Rousson, M., Paragios, N.: Prior knowledge, level set representations & visual grouping. Int. J. Comput. Vis. 76(3), 231\u2013243 (2008)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"39_CR8","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s11263-006-7533-5","volume":"69","author":"D Cremers","year":"2006","unstructured":"Cremers, D., Osher, S.J., Soatto, S.: Kernel density estimation and intrinsic alignment for shape priors in level set segmentation. Int. J. Comput. Vis. 69(3), 335\u2013351 (2006)","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"39_CR9","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1006\/cviu.1995.1004","volume":"61","author":"T Cootes","year":"1995","unstructured":"Cootes, T., Taylor, C., Cooper, D., Graham, J.: Active shape models-their training and application. Comput. Vis. Image Underst. 61(1), 38\u201359 (1995). https:\/\/doi.org\/10.1006\/cviu.1995.1004","journal-title":"Comput. Vis. Image Underst."},{"issue":"9","key":"39_CR10","doi-asserted-by":"publisher","first-page":"1929","DOI":"10.1016\/S0031-3203(03)00056-6","volume":"36","author":"D Cremers","year":"2003","unstructured":"Cremers, D., Kohlberger, T., Schn\u00f6rr, C.: Shape statistics in kernel space for variational image segmentation. Pattern Recognit. 36(9), 1929\u20131943 (2003)","journal-title":"Pattern Recognit."},{"issue":"9","key":"39_CR11","doi-asserted-by":"publisher","first-page":"1803","DOI":"10.1109\/TMI.2014.2321281","volume":"33","author":"S Awate","year":"2014","unstructured":"Awate, S., Whitaker, R.: Multiatlas segmentation as nonparametric regression. IEEE Trans. Med. Imaging 33(9), 1803\u20131817 (2014)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"39_CR12","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1016\/j.neuroimage.2009.02.018","volume":"46","author":"P Aljabar","year":"2009","unstructured":"Aljabar, P., Heckemann, R.A., Hammers, A., Hajnal, J.V., Rueckert, D.: Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. Neuroimage 46(3), 726\u2013738 (2009)","journal-title":"Neuroimage"},{"key":"39_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1007\/978-3-642-04271-3_4","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2009","author":"A Wimmer","year":"2009","unstructured":"Wimmer, A., Soza, G., Hornegger, J.: A generic probabilistic active shape model for organ segmentation. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part II. LNCS, vol. 5762, pp. 26\u201333. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-04271-3_4"},{"key":"39_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/11566489_93","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2005","author":"M Rousson","year":"2005","unstructured":"Rousson, M., Cremers, D.: Efficient kernel density estimation of shape and intensity priors for level set segmentation. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005, Part II. LNCS, vol. 3750, pp. 757\u2013764. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11566489_93"},{"issue":"387","key":"39_CR15","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1080\/01621459.1984.10478086","volume":"79","author":"JH Friedman","year":"1984","unstructured":"Friedman, J.H., Stuetzle, W., Schroeder, A.: Projection pursuit density estimation. J. Am. Stat. Assoc. 79(387), 599\u2013608 (1984). https:\/\/doi.org\/10.1080\/01621459.1984.10478086","journal-title":"J. Am. Stat. Assoc."},{"issue":"8","key":"39_CR16","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1016\/S0262-8856(98)00175-9","volume":"17","author":"TF Cootes","year":"1999","unstructured":"Cootes, T.F., Taylor, C.J.: A mixture model for representing shape variation. Image Vis. Comput. 17(8), 567\u2013573 (1999)","journal-title":"Image Vis. Comput."},{"key":"39_CR17","unstructured":"Dasgupta, S.: Learning mixtures of Gaussians. In: 40th Annual Symposium on Foundations of Computer Science, pp. 634\u2013644. IEEE (1999)"},{"issue":"1","key":"39_CR18","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.csda.2007.02.009","volume":"52","author":"C Bouveyron","year":"2007","unstructured":"Bouveyron, C., Girard, S., Schmid, C.: High-dimensional data clustering. Comput. Stat. Data Anal. 52(1), 502\u2013519 (2007)","journal-title":"Comput. Stat. Data Anal."},{"key":"39_CR19","doi-asserted-by":"crossref","unstructured":"Gelman, A., Carlin, J.B., Stern, H.S., Rubin, D.B.: Bayesian Data Analysis. Chapman & Hall\/CRC texts in statistical science, Boca Raton (2003)","DOI":"10.1201\/9780429258480"},{"key":"39_CR20","first-page":"3371","volume":"11","author":"P Vincent","year":"2010","unstructured":"Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.A.: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11, 3371\u20133408 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"39_CR21","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1186\/s12880-015-0068-x","volume":"15","author":"AA Taha","year":"2015","unstructured":"Taha, A.A., Hanbury, A.: Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Med. Imaging 15, 29 (2015). https:\/\/doi.org\/10.1186\/s12880-015-0068-x. http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC4533825\/, 68[PII]","journal-title":"BMC Med. Imaging"}],"container-title":["Lecture Notes in Computer Science","Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-12029-0_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:32:29Z","timestamp":1710250349000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-12029-0_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030120283","9783030120290"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-12029-0_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"14 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"STACOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Statistical Atlases and Computational Models of the Heart","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":"16 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"stacom2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/stacom2018.cardiacatlas.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}