{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T12:33:13Z","timestamp":1763037193098,"version":"3.37.3"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2018,6,9]],"date-time":"2018-06-09T00:00:00Z","timestamp":1528502400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003141","name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["323619"],"award-info":[{"award-number":["323619"]}],"id":[{"id":"10.13039\/501100003141","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003151","name":"Fonds de Recherche du Qu\u00e9bec - Nature et Technologies","doi-asserted-by":"publisher","award":["194703"],"award-info":[{"award-number":["194703"]}],"id":[{"id":"10.13039\/501100003151","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1007\/s11517-018-1853-9","type":"journal-article","created":{"date-parts":[[2018,6,8]],"date-time":"2018-06-08T20:48:43Z","timestamp":1528490923000},"page":"2221-2231","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Dynamic ensemble selection of learner-descriptor classifiers to assess curve types in adolescent idiopathic scoliosis"],"prefix":"10.1007","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2644-1547","authenticated-orcid":false,"given":"Edgar","family":"Garc\u00eda-Cano","sequence":"first","affiliation":[]},{"given":"Fernando","family":"Ar\u00e1mbula Cos\u00edo","sequence":"additional","affiliation":[]},{"given":"Luc","family":"Duong","sequence":"additional","affiliation":[]},{"given":"Christian","family":"Bellefleur","sequence":"additional","affiliation":[]},{"given":"Marjolaine","family":"Roy-Beaudry","sequence":"additional","affiliation":[]},{"given":"Julie","family":"Joncas","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Parent","sequence":"additional","affiliation":[]},{"given":"Hubert","family":"Labelle","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,9]]},"reference":[{"key":"1853_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45:5\u201332. \n                    https:\/\/doi.org\/10.1023\/A:1010933404324","journal-title":"Mach Learn"},{"key":"1853_CR2","doi-asserted-by":"publisher","first-page":"3665","DOI":"10.1016\/j.patcog.2014.05.003","volume":"47","author":"AS Britto","year":"2014","unstructured":"Britto AS, Sabourin R, Oliveira LES (2014) Dynamic selection of classifiers\u2014a comprehensive review. Pattern Recogn 47:3665\u20133680. \n                    https:\/\/doi.org\/10.1016\/j.patcog.2014.05.003","journal-title":"Pattern Recogn"},{"key":"1853_CR3","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1109\/TBME.2003.814525","volume":"50","author":"S Delorme","year":"2003","unstructured":"Delorme S, Petit Y, De Guise JA, Labelle H, Aubin C-E, Dansereau J (2003) Assessment of the 3-d reconstruction and high-resolution geometrical modeling of the human skeletal trunk from 2-D radiographic images. IEEE Trans Biomed Eng 50:989\u2013998. \n                    https:\/\/doi.org\/10.1109\/TBME.2003.814525","journal-title":"IEEE Trans Biomed Eng"},{"key":"1853_CR4","first-page":"1","volume-title":"Multiple Classifier Systems","author":"Thomas G. Dietterich","year":"2000","unstructured":"Dietterich TG (2000) Ensemble methods in machine learning. In: Multiple classifier systems. MCS 2000. Lecture Notes in Computer Science, vol 1857. Springer, Berlin"},{"key":"1853_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12984-015-0083-8","volume":"12","author":"S Donzelli","year":"2015","unstructured":"Donzelli S, Poma S, Balzarini L, Borboni A, Respizzi S, Villafane JH, Zaina F, Negrini S (2015) State of the art of current 3-D scoliosis classifications: a systematic review from a clinical perspective. J Neuroeng Rehabil 12:1\u201311. \n                    https:\/\/doi.org\/10.1186\/s12984-015-0083-8","journal-title":"J Neuroeng Rehabil"},{"key":"1853_CR6","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1097\/01.brs.0000209312.62384.c1","volume":"31","author":"L Duong","year":"2006","unstructured":"Duong L, Cheriet F, Labelle H (2006) Three-dimensional classification of spinal deformities using fuzzy clustering. Spine (Phila Pa 1976) 31:923\u2013930. \n                    https:\/\/doi.org\/10.1097\/01.brs.0000209312.62384.c1","journal-title":"Spine (Phila Pa 1976)"},{"key":"1853_CR7","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1097\/BSD.0b013e31816845bc","volume":"22","author":"L Duong","year":"2009","unstructured":"Duong L, Mac-Thiong J-M, Cheriet F, Labelle H (2009) Three-dimensional subclassification of Lenke type 1 scoliotic curves. J Spinal Disord Tech 22:135\u2013143. \n                    https:\/\/doi.org\/10.1097\/BSD.0b013e31816845bc","journal-title":"J Spinal Disord Tech"},{"key":"1853_CR8","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1109\/TBME.2009.2037214","volume":"57","author":"L Duong","year":"2010","unstructured":"Duong L, Cheriet F, Labelle H (2010) Automatic classification of spinal deformities using support vector machines. IEEE Trans Biomed Eng 57:1143\u20131151","journal-title":"IEEE Trans Biomed Eng"},{"key":"1853_CR9","first-page":"3133","volume":"15","author":"M Fern\u00e1ndez-Delgado","year":"2014","unstructured":"Fern\u00e1ndez-Delgado M, Cernadas E, Barro S, Amorim D (2014) Do we need hundreds of classifiers to solve real world classification problems? J Mach Learn Res 15:3133\u20133181","journal-title":"J Mach Learn Res"},{"key":"1853_CR10","unstructured":"Garcia-Cano E, Arambula-Cosio F, Duong L, Bellefleur C, Roy-Beaudry M, Joncas J, Parent S, Labelle H (2016) Dynamic ensemble selection of learner-descriptor classifiers to assess curve types in adolescent idiopathic scoliosis : a preliminary study. Communication lors de la conf\u00e9rence : 46e R\u00e9union Annuelle de la Soci\u00e9t\u00e9 de la Scoliose du\u00a0Qu\u00e9bec, Est\u00e9rel, QC, Canada, 20\u201322 Oct. 2016"},{"key":"1853_CR11","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/s00586-011-2004-2","volume":"21","author":"S Kadoury","year":"2012","unstructured":"Kadoury S, Labelle H (2012) Classification of three-dimensional thoracic deformities in adolescent idiopathic scoliosis from a multivariate analysis. Eur Spine J 21:40\u201349. \n                    https:\/\/doi.org\/10.1007\/s00586-011-2004-2","journal-title":"Eur Spine J"},{"key":"1853_CR12","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/s11517-013-1132-8","volume":"52","author":"S Kadoury","year":"2014","unstructured":"Kadoury S, Shen J, Parent S (2014) Global geometric torsion estimation in adolescent idiopathic scoliosis. Med Biol Eng Comput 52:309\u2013319. \n                    https:\/\/doi.org\/10.1007\/s11517-013-1132-8","journal-title":"Med Biol Eng Comput"},{"key":"1853_CR13","doi-asserted-by":"publisher","first-page":"1302","DOI":"10.2106\/00004623-198365090-00012","volume":"65","author":"HA King","year":"1983","unstructured":"King HA, Moe JH, Bradford DS, Winter RB (1983) The selection of fusion levels in thoracic idiopathic scoliosis. J Bone Joint Surg Am 65:1302\u20131313","journal-title":"J Bone Joint Surg Am"},{"key":"1853_CR14","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/34.667881","volume":"20","author":"J Kittler","year":"1998","unstructured":"Kittler J, Hatef M, Duin RPW, Matas J (1998) On combining classifiers. IEEE Trans Pattern Anal Mach Intell 20:226\u2013239. \n                    https:\/\/doi.org\/10.1109\/34.667881","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1853_CR15","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1016\/j.patcog.2007.10.015","volume":"41","author":"AHR Ko","year":"2008","unstructured":"Ko AHR, Sabourin R, Britto AS (2008) From dynamic classifier selection to dynamic ensemble selection. Pattern Recogn 41:1735\u20131748. \n                    https:\/\/doi.org\/10.1016\/j.patcog.2007.10.015","journal-title":"Pattern Recogn"},{"key":"1853_CR16","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.2106\/00004623-200108000-00006","volume":"83\u2013A","author":"LG Lenke","year":"2001","unstructured":"Lenke LG, Betz RR, Harms J, Bridwell KH, Clements DH, Lowe TG, Blanke KM (2001) Adolescent idiopathic scoliosis. A new classification to determine extent of spinal arthrodesis. J Bone Joint Surg Am 83\u2013A:1169\u20131181","journal-title":"J Bone Joint Surg Am"},{"key":"1853_CR17","first-page":"1825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:1825\u20132830","journal-title":"J Mach Learn Res"},{"key":"1853_CR18","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1016\/j.spinee.2013.07.449","volume":"13","author":"P Phan","year":"2013","unstructured":"Phan P, Mezghani N, Wai EK, De Guise JA, Labelle H (2013) Artificial neural networks assessing adolescent idiopathic scoliosis: comparison with Lenke classification. Spine J 13:1527\u20131533. \n                    https:\/\/doi.org\/10.1016\/j.spinee.2013.07.449","journal-title":"Spine J"},{"key":"1853_CR19","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1097\/BRS.0b013e3181877bbb","volume":"34","author":"AP Sangole","year":"2009","unstructured":"Sangole AP, Aubin C-E, Labelle H, Stokes IAF, Lenke LG, Jackson R, Newton PO (2009) Three-dimensional classification of thoracic scoliotic curves. Spine (Phila Pa 1976) 34:91\u201399. \n                    https:\/\/doi.org\/10.1097\/BRS.0b013e3181877bbb","journal-title":"Spine (Phila Pa 1976)"},{"key":"1853_CR20","first-page":"75","volume-title":"Lecture Notes in Computational Vision and Biomechanics","author":"Jesse Shen","year":"2014","unstructured":"Shen J, Parent S, Kadoury S (2014) Classification of spinal deformities using a parametric torsion estimator. In: Yao J, Klinder T, Li S (eds) Computational methods and clinical applications for spine imaging. Lecture Notes in Computational Vision and Biomechanics, vol 17. Springer, Cham"},{"key":"1853_CR21","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1097\/00007632-199401001-00020","volume":"19","author":"IAF Stokes","year":"1994","unstructured":"Stokes IAF (1994) Three-dimensional terminology of spinal deformity. A report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity. Spine (Phila Pa 1976) 19:236\u2013248","journal-title":"Spine (Phila Pa 1976)"},{"key":"1853_CR22","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1097\/00007632-198604000-00006","volume":"11","author":"IA Stokes","year":"1986","unstructured":"Stokes IA, Bigalow LC, Moreland MS (1986) Measurement of axial rotation of vertebrae in scoliosis. Spine (Phila Pa 1976) 11:213\u2013218. \n                    https:\/\/doi.org\/10.1097\/00007632-198604000-00006","journal-title":"Spine (Phila Pa 1976)"},{"key":"1853_CR23","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-319-14148-0_2","volume-title":"Recent Advances in Computational Methods and Clinical Applications for Spine Imaging","author":"William E. Thong","year":"2015","unstructured":"Thong WE, Labelle H, Shen J, Parent S, Kadoury S (2015) Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis. In: Yao J, Glocker B, Klinder T, Li S (eds) Recent advances in computational methods and clinical applications for spine imaging. Lecture Notes in Computational Vision and Biomechanics, vol 20. Springer, Cham"},{"key":"1853_CR24","doi-asserted-by":"publisher","first-page":"3104","DOI":"10.1007\/s00586-016-4426-3","volume":"25","author":"W Thong","year":"2016","unstructured":"Thong W, Parent S, Wu J, Aubin C-E, Labelle H, Kadoury S (2016) Three-dimensional morphology study of surgical adolescent idiopathic scoliosis patient from encoded geometric models. Eur Spine J 25:3104\u20133113. \n                    https:\/\/doi.org\/10.1007\/s00586-016-4426-3","journal-title":"Eur Spine J"},{"key":"1853_CR25","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.inffus.2013.04.006","volume":"16","author":"M Wo\u017aniak","year":"2014","unstructured":"Wo\u017aniak M, Gra\u00f1a M, Corchado E (2014) A survey of multiple classifier systems as hybrid systems. Information Fusion 16:3\u201317. \n                    https:\/\/doi.org\/10.1016\/j.inffus.2013.04.006","journal-title":"Information Fusion"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-018-1853-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-018-1853-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-018-1853-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,8]],"date-time":"2019-06-08T19:09:48Z","timestamp":1560020988000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-018-1853-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,9]]},"references-count":25,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["1853"],"URL":"https:\/\/doi.org\/10.1007\/s11517-018-1853-9","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"type":"print","value":"0140-0118"},{"type":"electronic","value":"1741-0444"}],"subject":[],"published":{"date-parts":[[2018,6,9]]},"assertion":[{"value":"1 October 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}