{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:42:40Z","timestamp":1740145360843,"version":"3.37.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2018,2,8]],"date-time":"2018-02-08T00:00:00Z","timestamp":1518048000000},"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":["Int. J. Autom. Comput."],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1007\/s11633-018-1112-4","type":"journal-article","created":{"date-parts":[[2018,2,7]],"date-time":"2018-02-07T20:07:15Z","timestamp":1518034035000},"page":"673-688","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3319-6156","authenticated-orcid":false,"given":"G.","family":"Dharanibai","sequence":"first","affiliation":[]},{"given":"Anupama","family":"Chandrasekharan","sequence":"additional","affiliation":[]},{"given":"Zachariah C.","family":"Alex","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,8]]},"reference":[{"key":"1112_CR1","unstructured":"World Health Organization. Cardiovascular diseases (CVDs). WHO Fact Sheet, No. 317. Geneva, Switzerland: World Health Organization, 2017."},{"issue":"2","key":"1112_CR2","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s10334-015-0521-4","volume":"29","author":"P. Peng","year":"2016","unstructured":"P. Peng, K. Lekadir, A. Gooya, L. Shao, S. E. Petersen, A. F. Frangi. A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging. Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 29, no. 2, pp. 155\u2013195, 2016. DOI: \n                    https:\/\/doi.org\/10.1007\/s10334-015-0521-4\n                    \n                  .","journal-title":"Magnetic Resonance Materials in Physics, Biology and Medicine"},{"issue":"2","key":"1112_CR3","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.media.2010.12.004","volume":"15","author":"C. Petitjean","year":"2011","unstructured":"C. Petitjean, J. N. Dacher. A review of segmentation methods in short axis cardiac MR images. Medical Image Analysis, vol. 15, no. 2, pp. 169\u2013184, 2011. DOI: \n                    https:\/\/doi.org\/10.1016\/j.media.2010.12.004\n                    \n                  .","journal-title":"Medical Image Analysis"},{"issue":"9","key":"1112_CR4","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1109\/TMI.2002.804425","volume":"21","author":"S. C. Mitchell","year":"2002","unstructured":"S. C. Mitchell, J. G. Bosch, B. P. F. Lelieveldt, R. J. van der Geest, J. H. C. Reiber, M. Sonka. 3D active appearance models: Segmentation of cardiac MR and ultrasound images. IEEE Transactions on Medical Imaging, vol. 21, no. 9, pp. 1167\u20131178, 2002. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2002.804425\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"5","key":"1112_CR5","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/42.925294","volume":"20","author":"S. C. Mitchell","year":"2001","unstructured":"S. C. Mitchell, B. P. F. Lelieveldt, R. J. van der Geest, H. G. Bosch, J. H. C. Reiver, M. Sonka. Multistage hybrid active appearance model matching: Segmentation of left and right ventricles in cardiac MR images. IEEE Transactions on Medical Imaging, vol. 20, no. 5, pp. 415\u2013423, 2001. DOI: \n                    https:\/\/doi.org\/10.1109\/42.925294\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"1112_CR6","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.media.2005.12.001","volume":"10","author":"H. C. Assen van","year":"2006","unstructured":"H. C. van Assen, M. G. Danilouchkine, A. F. Frangi, S. Ordas, J. J. M. Westenberg, J. H. C. Reiber, B. P. F. Lelieveldt. SPASM: A 3D-asm for segmentation of sparse and arbitrarily oriented cardiac MRI data. Medical Image Analysis, vol. 10, no. 2, pp. 286\u2013303, 2006. DOI: \n                    https:\/\/doi.org\/10.1016\/j.media.2005.12.001\n                    \n                  .","journal-title":"Medical Image Analysis"},{"issue":"2","key":"1112_CR7","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1109\/TMI.2009.2030799","volume":"29","author":"H. H. Zhang","year":"2010","unstructured":"H. H. Zhang, A. Wahle, R. K. Johnson, T. D. Scholz, M. Sonka. 4D cardiac MR image analysis: Left and right ventricular morphology and function. IEEE Transactions on Medical Imaging, vol. 29, no. 2, pp. 350\u2013364, 2010. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2009.2030799\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"1112_CR8","first-page":"151","volume-title":"Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention","author":"S. Zambal","year":"2006","unstructured":"S. Zambal, J. Hladuvka, K. B\u00fchler. Improving segmentation of the left ventricle using a two-component statistical model. In Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Copenhagen, Denmark, pp. 151\u2013158, 2006."},{"issue":"12","key":"1112_CR9","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1109\/TMI.2009.2022087","volume":"28","author":"I. Ben Ayed","year":"2009","unstructured":"I. Ben Ayed, S. Li, I. Ross. Embedding overlap priors in variational left ventricle tracking. IEEE Transactions on Medical Imaging, vol. 28, no. 12, pp. 1902\u20131913, 2009. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2009.2022087\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"1112_CR10","first-page":"4508","volume-title":"Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","author":"R. Berbari El","year":"2007","unstructured":"R. El Berbari, I. Bloch, A. Redheuil, E. Angelini, E. Mousseaux, F. Frouin, A. Herment. An automated myocardial segmentation in cardiac MRI. In Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Lyon, France, pp. 4508\u20134511, 2007."},{"issue":"11","key":"1112_CR11","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1109\/TMI.2006.882124","volume":"25","author":"G. Hautvast","year":"2006","unstructured":"G. Hautvast, S. Lobregt, M. Breeuwer, F. Gerritsen. Automatic contour propagation in cine cardiac magnetic resonance images. IEEE Transactions on Medical Imaging, vol. 25, no. 11, pp. 1472\u20131482, 2006. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2006.882124\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"1112_CR12","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s11263-006-7936-3","volume":"70","author":"M. P. Jolly","year":"2006","unstructured":"M. P. Jolly. Automatic segmentation of the left ventricle in cardiac MR and CT images. International Journal of Computer Vision, vol. 70, no. 2, pp. 151\u2013163, 2006. DOI: \n                    https:\/\/doi.org\/10.1007\/s11263-006-7936-3\n                    \n                  .","journal-title":"International Journal of Computer Vision"},{"issue":"2","key":"1112_CR13","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1109\/TMI.2007.904681","volume":"27","author":"M. Lynch","year":"2008","unstructured":"M. Lynch, O. Ghita, P. F. Whelan. Segmentation of the left ventricle of the heart in 3D+T MRI data using an optimized nonrigid temporal model. IEEE Transactions on Medical Imaging, vol. 27, no. 2, pp. 195\u2013203, 2008. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2007.904681\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"4","key":"1112_CR14","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.compmedimag.2006.03.009","volume":"30","author":"M. Lynch","year":"2006","unstructured":"M. Lynch, O. Ghita, P. F. Whelan. Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge. Computerized Medical Imaging and Graphics, vol. 30, no. 4, pp. 255\u2013262, 2006. DOI: \n                    https:\/\/doi.org\/10.1016\/j.compmedimag.2006.03.009\n                    \n                  .","journal-title":"Computerized Medical Imaging and Graphics"},{"issue":"3","key":"1112_CR15","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1023\/A:1020882509893","volume":"50","author":"N. Paragios","year":"2002","unstructured":"N. Paragios. A variational approach for the segmentation of the left ventricle in cardiac image analysis. International Journal of Computer Vision, vol. 50, no. 3, pp. 345\u2013362, 2002. DOI: \n                    https:\/\/doi.org\/10.1023\/A:1020882509893\n                    \n                  .","journal-title":"International Journal of Computer Vision"},{"issue":"5","key":"1112_CR16","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1109\/TMI.2005.843740","volume":"24","author":"C. Pluempitiwiriyawej","year":"2005","unstructured":"C. Pluempitiwiriyawej, J. M. F. Moura, Y. J. L. Wu, C. Ho. STACS: New active contour scheme for cardiac MR image segmentation. IEEE Transactions on Medical Imaging, vol. 24, no. 5, pp. 593\u2013603, 2005. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2005.843740\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"1112_CR17","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1109\/CIC.1993.378377","volume-title":"Proceedings of Computers in Cardiology Conference","author":"A. Gupta","year":"1993","unstructured":"A. Gupta, L. von Kurowski, A. Singh, D. Geiger, C. C. Liang, M. Y. Chiu, L. Adler, M. Haacke, D. L. Wilson. Cardiac MR image segmentation using deformable models. In Proceedings of Computers in Cardiology Conference, IEEE, London, UK, pp. 747\u2013757, 1993."},{"issue":"2","key":"1112_CR18","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/42.387714","volume":"14","author":"S. Ranganath","year":"1995","unstructured":"S. Ranganath. Contour extraction from cardiac MRI studies using snakes. IEEE Transactions on Medical Imaging, vol. 14, no. 2, pp. 328\u2013338, 1995. DOI: \n                    https:\/\/doi.org\/10.1109\/42.387714\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"3","key":"1112_CR19","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1109\/34.368194","volume":"17","author":"D. Geiger","year":"1995","unstructured":"D. Geiger, A. Gupta, L. A. Costa, J. Vlontzos. Dynamic programming for detecting, tracking, and matching deformable contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 3, pp. 294\u2013302, 1995. DOI: \n                    https:\/\/doi.org\/10.1109\/34.368194\n                    \n                  .","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1112_CR20","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"C. M. Li","year":"2007","unstructured":"C. M. Li, C. Y. Kao, J. C. Gore, Z. H. Ding. Implicit active contours driven by local binary fitting energy. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Minneapolis, USA, 2007."},{"issue":"11","key":"1112_CR21","doi-asserted-by":"publisher","first-page":"2029","DOI":"10.1109\/TIP.2008.2004611","volume":"17","author":"S. Lankton","year":"2008","unstructured":"S. Lankton, A. Tannenbaum. Localizing region-based active contours. IEEE Transactions on Image Processing, vol. 17, no. 11, pp. 2029\u20132039, 2008. DOI: \n                    https:\/\/doi.org\/10.1109\/TIP.2008.2004611\n                    \n                  .","journal-title":"IEEE Transactions on Image Processing"},{"issue":"12","key":"1112_CR22","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1016\/j.sigpro.2009.03.014","volume":"89","author":"L. Wang","year":"2009","unstructured":"L. Wang, L. He, A. Mishra, C. M. Li. Active contours driven by local Gaussian distribution fitting energy. Signal Processing, vol. 89, no. 12, pp. 2435\u20132447, 2009. DOI: \n                    https:\/\/doi.org\/10.1016\/j.sigpro.2009.03.014\n                    \n                  .","journal-title":"Signal Processing"},{"issue":"8","key":"1112_CR23","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1109\/TMI.2008.918327","volume":"27","author":"T. Chen","year":"2008","unstructured":"T. Chen, J. Babb, P. Kellman, L. Axel, D. Kim. Semi-automated segmentation of myocardial contours for fast strain analysis in cine displacement-encoded MRI. IEEE Transactions on Medical Imaging, vol. 27, no. 8, pp. 1084\u20131094, 2008. DOI: \n                    https:\/\/doi.org\/10.1109\/TMI.2008.918327\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"6","key":"1112_CR24","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1002\/jmri.21586","volume":"28","author":"H. Y. Lee","year":"2008","unstructured":"H. Y. Lee, N. Codella, M. Cham, M. Prince, J. Weinsaft, Y. Wang. Left ventricle segmentation using graph searching on intensity and gradient and a priori knowledge (lv-GIGA) for short-axis cardiac magnetic resonance imaging. Journal of Magnetic Resonance Imaging, vol. 28, no. 6, pp. 1393\u20131401, 2008. DOI: \n                    https:\/\/doi.org\/10.1002\/jmri.v28:6\n                    \n                  .","journal-title":"Journal of Magnetic Resonance Imaging"},{"issue":"4","key":"1112_CR25","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s10278-012-9548-5","volume":"26","author":"D. Mahapatra","year":"2013","unstructured":"D. Mahapatra. Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors. Journal of Digital Imaging, vol. 26, no. 4, pp. 721\u2013730, 2013. DOI: \n                    https:\/\/doi.org\/10.1007\/s10278-012-9548-5\n                    \n                  .","journal-title":"Journal of Digital Imaging"},{"issue":"8","key":"1112_CR26","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1016\/j.imavis.2010.01.001","volume":"28","author":"J. Cousty","year":"2010","unstructured":"J. Cousty, L. Najman, M. Couprie, S. Cl\u00e9ment-Guinaudeau, T. Goissen, J. Garot. Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts. Image and Vision Computing, vol. 28, no. 8, pp. 1229\u20131243, 2010. DOI: \n                    https:\/\/doi.org\/10.1016\/j.imavis.2010.01.001\n                    \n                  .","journal-title":"Image and Vision Computing"},{"issue":"3","key":"1112_CR27","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.bspc.2012.11.009","volume":"8","author":"S. P. Dakua","year":"2013","unstructured":"S. P. Dakua, J. Abi-Nahed. Patient oriented graph-based image segmentation. Biomedical Signal Processing and Control, vol. 8, no. 3, pp. 325\u2013332, 2013. DOI: \n                    https:\/\/doi.org\/10.1016\/j.bspc.2012.11.009\n                    \n                  .","journal-title":"Biomedical Signal Processing and Control"},{"issue":"7","key":"1112_CR28","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.1109\/TBME.2006.873684","volume":"53","author":"A. Pednekar","year":"2006","unstructured":"A. Pednekar, U. Kurkure, R. Muthupillai, S. Flamm, I. A. Kakadiaris. Automated left ventricular segmentation in cardiac MRI. IEEE Transactions on Biomedical Engineering, vol. 53, no. 7, pp. 1425\u20131428, 2006. DOI: \n                    https:\/\/doi.org\/10.1109\/TBME.2006.873684\n                    \n                  .","journal-title":"IEEE Transactions on Biomedical Engineering"},{"issue":"4","key":"1112_CR29","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/j.mri.2012.10.004","volume":"31","author":"H. F. Hu","year":"2013","unstructured":"H. F. Hu, H. H. Liu, Z. Y. Gao, L. Huang. Hybrid segmentation of left ventricle in cardiac MRI using Gaussian-mixture model and region restricted dynamic programming. Magnetic Resonance Imaging, vol. 31, no. 4, pp. 575\u2013584, 2013. DOI: \n                    https:\/\/doi.org\/10.1016\/j.mri.2012.10.004\n                    \n                  .","journal-title":"Magnetic Resonance Imaging"},{"issue":"12","key":"1112_CR30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0114760","volume":"9","year":"2014","unstructured":"H. F. Hu, Z. Y. Gao, L. M. Liu, H. H. Liu, J. F. Gao, S. Z. Xu, W. Li, L. Huang. Automatic segmentation of the left ventricle in cardiac MRI using local binary fitting model and dynamic programming techniques. PLoS One, vol. 9, no. 12, Article number e114760, 2014. DOI: \n                    https:\/\/doi.org\/10.1371\/journal.pone.0114760\n                    \n                  .","journal-title":"PLoS One"},{"key":"1112_CR31","volume-title":"MIDAS Journal-Cardiac MR Left Ventricle Segmentation Challenge","author":"P. Radau","year":"2009","unstructured":"P. Radau Y. Lu, K. Connelly, G. Paul, A. J. Dick, G. A. Wright. Evaluation framework for algorithms segmenting short axis cardiac MRI. MIDAS Journal-Cardiac MR Left Ventricle Segmentation Challenge, London, UK, 2009. [Online], Available: http:\/\/hdl.handle.net\/10380\/3070, October 24, 2012."},{"issue":"2","key":"1112_CR32","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/42.836373","volume":"19","author":"L. G. Ny\u00fal","year":"2000","unstructured":"L. G. Ny\u00fal, J. K. Udupa, X. Zhang. New variants of a method of MRI scale standardization. IEEE Transactions on Medical Imaging, vol. 19, no. 2, pp. 143\u2013150, 2000. DOI: \n                    https:\/\/doi.org\/10.1109\/42.836373\n                    \n                  .","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"1112_CR33","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"T. F. Chan","year":"2001","unstructured":"T. F. Chan, L. A. Vese. Active contours without edges. IEEE Transactions on Image Processing, vol. 10, no. 2, pp. 266\u2013277, 2001. DOI: \n                    https:\/\/doi.org\/10.1109\/83.902291\n                    \n                  .","journal-title":"IEEE Transactions on Image Processing"},{"issue":"18","key":"1112_CR34","doi-asserted-by":"publisher","first-page":"5257","DOI":"10.1016\/j.ijleo.2014.06.051","volume":"125","author":"H. L. Huang","year":"2014","unstructured":"H. L. Huang, X. Zuo, C. Huang. Arbitrary initialization for Chan-Vese model. Optik-International Journal for Light and Electron Optics, vol. 125, no. 18, pp. 5257\u20135263, 2014. DOI: \n                    https:\/\/doi.org\/10.1016\/j.ijleo.2014.06.051\n                    \n                  .","journal-title":"Optik-International Journal for Light and Electron Optics"},{"key":"1112_CR35","first-page":"3207","volume-title":"Proceedings of Annual International Conference of IEEE Engineering in Medicine and Biology Society","author":"C. Constantinides","year":"2012","unstructured":"C. Constantinides, E. Roullot, M. Lefort, F. Frouin. Fully automated segmentation of the left ventricle applied to cine MR images: Description and results on a database of 45 subjects. In Proceedings of Annual International Conference of IEEE Engineering in Medicine and Biology Society, IEEE, San Diego, USA, pp. 3207\u20133210, 2012."},{"key":"1112_CR36","volume-title":"MI-DAS Journal-Cardiac MR Left Ventricle Segmentation Challenge","author":"C. Constantinides","year":"2009","unstructured":"C. Constantinides, Y. Chenoune, N. Kachenoura, E. Roullot, E. Mousseaux, A. Herment, F. Frouin. Semi-automated cardiac segmentation on cine magnetic resonance images using GVF-snake deformable models. MI-DAS Journal-Cardiac MR Left Ventricle Segmentation Challenge, London, UK, 2009. [Online], Available: http:\/\/hdl. handle.net\/10380\/3108, October 25, 2012."},{"issue":"4","key":"1112_CR37","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/j.mri.2012.10.004","volume":"31","author":"H. F. Hu","year":"2013","unstructured":"H. F. Hu, H. H. Liu, Z. Y. Gao, L. Huang. Hybrid segmentation of left ventricle in cardiac MRI using Gaussian-mixture model and region restricted dynamic programming. Magnetic Resonance Imaging, vol. 31, no. 4, pp. 575\u2013584, 2013. DOI: \n                    https:\/\/doi.org\/10.1016\/j.mri.2012.10.004\n                    \n                  .","journal-title":"Magnetic Resonance Imaging"},{"issue":"4","key":"1112_CR38","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1007\/s10278-010-9315-4","volume":"24","author":"S. Huang","year":"2011","unstructured":"S. Huang, J. M. Liu, L. C. Lee, S. K. Venkatesh, L. L. S. Teo, C. Au, W. L. Nowinski. An image-based comprehensive approach for automatic segmentation of left ventricle from cardiac short axis cine MR images. Journal of Digital Imaging, vol. 24, no. 4, pp. 598\u2013608, 2011. DOI: \n                    https:\/\/doi.org\/10.1007\/s10278-010-9315-4\n                    \n                  .","journal-title":"Journal of Digital Imaging"},{"key":"1112_CR39","first-page":"910","volume-title":"Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention","author":"M. P. Jolly","year":"2009","unstructured":"M. P. Jolly, H. Xue, L. Grady, J. Guehring. Combining registration and minimum surfaces for the segmentation of the left ventricle in cardiac cine MR images. In Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, London, UK, pp. 910\u2013918, 2009."},{"issue":"6","key":"1112_CR40","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1016\/j.acra.2012.02.011","volume":"19","author":"H. Liu","year":"2012","unstructured":"H. Liu, H. F. Hu, X. Y. Xu, E. M. Song. Automatic left ventricle segmentation in cardiac MRI using topological stable-state thresholding and region restricted dynamic programming. Academic Radiology, vol. 19, no. 6, pp. 723\u2013731, 2012. DOI: \n                    https:\/\/doi.org\/10.1016\/j.acra.2012.02.011\n                    \n                  .","journal-title":"Academic Radiology"},{"issue":"7","key":"1112_CR41","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.media.2014.06.001","volume":"18","author":"S. Queir\u00f3s","year":"2014","unstructured":"S. Queir\u00f3s, D. Barbosa, B. Heyde, P. Morais, J. L. Vila\u00e7a, D. Friboulet, O. Bernard J. D\u2032hooge. Fast automatic myocardial segmentation in 4d cine CMR datasets. Medical Image Analysis, vol. 18, no. 7, pp. 1115\u20131131, 2014. DOI: \n                    https:\/\/doi.org\/10.1016\/j.media.2014.06.001\n                    \n                  .","journal-title":"Medical Image Analysis"},{"issue":"6","key":"1112_CR42","doi-asserted-by":"publisher","first-page":"738","DOI":"10.1016\/j.media.2010.05.009","volume":"14","author":"J. Schaerer","year":"2010","unstructured":"J. Schaerer, C. Casta, J. Pousin, P. Clarysse. A dynamic elastic model for segmentation and tracking of the heart in MR image sequences. Medical Image Analysis, vol. 14, no. 6, pp. 738\u2013749, 2010. DOI: \n                    https:\/\/doi.org\/10.1016\/j.media.2010.05.009\n                    \n                  .","journal-title":"Medical Image Analysis"},{"key":"1112_CR43","first-page":"254","volume-title":"Proceedings of the 9th IEEE International Symposium on Biomedical Imaging","author":"M. G. Uzunbas","year":"2012","unstructured":"M. G. Uzunbas, S. T. Zhang, K. M. Pohl, D. Metaxas, L. Axel. Segmentation of myocardium using deformable regions and graph cuts. In Proceedings of the 9th IEEE International Symposium on Biomedical Imaging, IEEE, Barcelona, Spain, pp. 254\u2013257, 2012."},{"key":"1112_CR44","volume-title":"MIDAS Journal-Cardiac MR Left Ventricle Segmentation Challenge","author":"J. Wijnhout","year":"2009","unstructured":"J. Wijnhout, D. Hendriksen, H. Van Assen, R. Van der Geest. LV challenge LKEB contribution: fully automated myocardial contour detection. MIDAS Journal-Cardiac MR Left Ventricle Segmentation Challenge, London, UK, 2009. [Online]. Available: http:\/\/hdl.handle.net\/10380\/ 3115, October 25, 2012."},{"key":"1112_CR45","volume-title":"MIDAS Journal-Cardiac MR Left Ventricle Segmentation Challenge","author":"L. Marak","year":"2009","unstructured":"L. Marak, J. Cousty, L. Najman, H. Talbot. 4D morphological segmentation and the MICCAI LV-segmentation grand challenge. MIDAS Journal-Cardiac MR Left Ventricle Segmentation Challenge, London, UK, 2009. [Online], Available: http:\/\/hdl.handle.net\/10380\/3085, October 25, 2012."},{"key":"1112_CR46","first-page":"477","volume-title":"Proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention","author":"C. L. Feng","year":"2013","unstructured":"C. L. Feng, C. M. Li, D. Z. Zhao, C. Davatzikos, H. Litt. Segmentation of the left ventricle using distance regularized two-layer level set approach. In Proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, Nagoya, Japan. pp. 477\u2013484, 2013."},{"issue":"3","key":"1112_CR47","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1118\/1.4907993","volume":"42","author":"X. H. Qian","year":"2015","unstructured":"X. H. Qian, Y. Lin, Y. Zhao, J. Wang, J. Liu, X. H. Zhuang. Segmentation of myocardium from cardiac MR images using a novel dynamic programming based segmentation method. Medical Physics, vol. 42, no. 3, pp. 1424\u20131435, 2015. DOI: \n                    https:\/\/doi.org\/10.1118\/1.4907993\n                    \n                  .","journal-title":"Medical Physics"}],"container-title":["International Journal of Automation and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11633-018-1112-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-018-1112-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-018-1112-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,7]],"date-time":"2019-02-07T20:39:07Z","timestamp":1549571947000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11633-018-1112-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,8]]},"references-count":47,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["1112"],"URL":"https:\/\/doi.org\/10.1007\/s11633-018-1112-4","relation":{},"ISSN":["1476-8186","1751-8520"],"issn-type":[{"type":"print","value":"1476-8186"},{"type":"electronic","value":"1751-8520"}],"subject":[],"published":{"date-parts":[[2018,2,8]]},"assertion":[{"value":"13 June 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}