{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:01:47Z","timestamp":1743091307824,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319609638"},{"type":"electronic","value":"9783319609645"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-60964-5_20","type":"book-chapter","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T14:28:53Z","timestamp":1498055333000},"page":"229-236","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automated LGE Myocardial Scar Segmentation Using MaskSLIC Supervoxels - Replicating the Clinical Method"],"prefix":"10.1007","author":[{"given":"Iulia A.","family":"Popescu","sequence":"first","affiliation":[]},{"given":"Alessandra","family":"Borlotti","sequence":"additional","affiliation":[]},{"given":"Erica","family":"Dall\u2019Armellina","sequence":"additional","affiliation":[]},{"given":"Vicente","family":"Grau","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"issue":"11","key":"20_CR1","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., S\u00fcsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274\u20132281 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"20_CR2","unstructured":"British Heart Foundation: CVD Statistics - BHF UK Factsheet (CVD) (2016)"},{"issue":"3","key":"20_CR3","first-page":"228","volume":"4","author":"E Dall\u2019Armellina","year":"2011","unstructured":"Dall\u2019Armellina, E., Karia, N., Lindsay, A.C., Karamitsos, T.D., Ferreira, V., Robson, M.D., Kellman, P., Francis, J.M., Fofar, C., Prendergast, B.D., Banning, A.P., Channon, K.M., Kharbanda, R.K., Neubauer, S., Choudhury, R.P.: Dynamic changes of edema and late gadolinium enhancement after acute myocardial infarction and their relationship to functional recovery and salvage index. Circ.: Cardiovasc. Imaging 4(3), 228\u2013236 (2011)","journal-title":"Circ.: Cardiovasc. Imaging"},{"issue":"3","key":"20_CR4","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1002\/jmri.20495","volume":"23","author":"LY Hsu","year":"2006","unstructured":"Hsu, L.Y., Ingkanisorn, W.P., Kellman, P., Aletras, A.H., Arai, A.E.: Quantitative myocardial infarction on delayed enhancement MRI. Part II: clinical application of an automated feature analysis and combined thresholding infarct sizing algorithm. J. Magn. Reson. Imaging 23(3), 309\u2013314 (2006)","journal-title":"J. Magn. Reson. Imaging"},{"key":"20_CR5","unstructured":"Irving, B., et al.: maskSLIC: regional superpixel generation with application to local pathology characterisation in medical images, pp. 1\u20137 (2016). http:\/\/arxiv.org\/abs\/1606.09518"},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.media.2016.01.004","volume":"30","author":"R Karim","year":"2016","unstructured":"Karim, R., Bhagirath, P., Claus, P., James Housden, R., Chen, Z., Karimaghaloo, Z., Sohn, H.M., Lara Rodr\u00edguez, L., Vera, S., Alb\u00e0, X., Hennemuth, A., Peitgen, H.O., Arbel, T., Gonz\u00e0lez Ballester, M.A., Frangi, A.F., G\u00f6tte, M., Razavi, R., Schaeffter, T., Rhode, K.: Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. Med. Image Anal. 30, 95\u2013107 (2016)","journal-title":"Med. Image Anal."},{"key":"20_CR7","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1186\/1532-429X-15-105","volume":"15","author":"R Karim","year":"2013","unstructured":"Karim, R., Housden, R.J., Balasubramaniam, M., Chen, Z., Perry, D., Uddin, A., Al-Beyatti, Y., Palkhi, E., Acheampong, P., Obom, S., Hennemuth, A., Lu, Y., Bai, W., Shi, W., Gao, Y., Peitgen, H.O., Radau, P., Razavi, R., Tannenbaum, A., Rueckert, D., Cates, J., Schaeffter, T., Peters, D., MacLeod, R., Rhode, K.: Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge. J. Cardiovasc. Magn. Reson.: Off. J. Soc. Cardiovasc. Magn. Reson. 15, 105 (2013)","journal-title":"J. Cardiovasc. Magn. Reson.: Off. J. Soc. Cardiovasc. Magn. Reson."},{"key":"20_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-3-642-13775-4_12","volume-title":"Image Analysis and Recognition","author":"MK Metwally","year":"2010","unstructured":"Metwally, M.K., El-Gayar, N., Osman, N.F.: Improved technique to detect the infarction in delayed enhancement image using K-mean method. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010. LNCS, vol. 6112, pp. 108\u2013119. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-13775-4_12"},{"issue":"2","key":"20_CR9","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1002\/mrm.22422","volume":"64","author":"Q Tao","year":"2010","unstructured":"Tao, Q., Milles, J., Zeppenfeld, K., Lamb, H.J., Bax, J.J., Reiber, J.H.C., Van Der Geest, R.J.: Automated segmentation of myocardial scar in late enhancement MRI using combined intensity and spatial information. Magn. Reson. Med. 64(2), 586\u2013594 (2010)","journal-title":"Magn. Reson. Med."},{"issue":"6","key":"20_CR10","first-page":"1499","volume":"60","author":"D Wei","year":"2013","unstructured":"Wei, D., Sun, Y., Ong, S.H., Chai, P., Teo, L.L., Low, A.F.: A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images. IEEE Trans. Med. Imaging 60(6), 1499\u20131508 (2013)","journal-title":"IEEE Trans. Med. Imaging"}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60964-5_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T22:53:49Z","timestamp":1659135229000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60964-5_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319609638","9783319609645"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60964-5_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"22 June 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIUA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference on Medical Image Understanding and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Edinburgh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miua2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miua2017.wordpress.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}