{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:33:25Z","timestamp":1725914005931},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319686110"},{"type":"electronic","value":"9783319686127"}],"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":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68612-7_73","type":"book-chapter","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T11:31:17Z","timestamp":1508844677000},"page":"643-651","source":"Crossref","is-referenced-by-count":5,"title":["A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations"],"prefix":"10.1007","author":[{"given":"Adrian","family":"Ion-M\u0103rgineanu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel","family":"Kocevar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio","family":"Stamile","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diana M.","family":"Sima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fran\u00e7oise","family":"Durand-Dubief","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabine","family":"Van Huffel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominique","family":"Sappey-Marinier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,25]]},"reference":[{"issue":"9648","key":"73_CR1","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1016\/S0140-6736(08)61620-7","volume":"372","author":"A Compston","year":"2008","unstructured":"Compston, A., Coles, A.: Multiple sclerosis. Lancet 372(9648), 1502\u20131518 (2008)","journal-title":"Lancet"},{"issue":"2","key":"73_CR2","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S1474-4422(11)70274-5","volume":"11","author":"DH Miller","year":"2012","unstructured":"Miller, D.H., Chard, D.T., Ciccarelli, O.: Clinically isolated syndromes. Lancet Neurolog. 11(2), 157\u2013169 (2012)","journal-title":"Lancet Neurolog."},{"issue":"7","key":"73_CR3","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1093\/brain\/awq118","volume":"133","author":"A Scalfari","year":"2010","unstructured":"Scalfari, A., Neuhaus, A., Degenhardt, A., Rice, G.P., Muraro, P.A., Daumer, M., Ebers, G.C.: The natural history of multiple sclerosis, a geographically based study 10: relapses and long-term disability. Brain 133(7), 1914\u20131929 (2010)","journal-title":"Brain"},{"issue":"1","key":"73_CR4","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/ana.1032","volume":"50","author":"WI McDonald","year":"2001","unstructured":"McDonald, W.I., Compston, A., Edan, G., Goodkin, D., Hartung, H.P., Lublin, F.D., McFarland, H.F., Paty, D.W., Polman, C.H., Reingold, S.C., et al.: Recommended diagnostic criteria for multiple sclerosis: guidelines from the international panel on the diagnosis of multiple sclerosis. Ann. Neurolog. 50(1), 121\u2013127 (2001)","journal-title":"Ann. Neurolog."},{"issue":"6","key":"73_CR5","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1002\/ana.20703","volume":"58","author":"CH Polman","year":"2005","unstructured":"Polman, C.H., Reingold, S.C., Edan, G., Filippi, M., Hartung, H.P., Kappos, L., Lublin, F.D., Metz, L.M., McFarland, H.F., O\u2019Connor, P.W., et al.: Diagnostic criteria for multiple sclerosis: 2005 revisions to the McDonald criteria. Ann. Neurolog. 58(6), 840\u2013846 (2005)","journal-title":"Ann. Neurolog."},{"issue":"2","key":"73_CR6","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1002\/ana.22366","volume":"69","author":"CH Polman","year":"2011","unstructured":"Polman, C.H., Reingold, S.C., Banwell, B., Clanet, M., Cohen, J.A., Filippi, M., Fujihara, K., Havrdova, E., Hutchinson, M., Kappos, L., et al.: Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann. Neurolog. 69(2), 292\u2013302 (2011)","journal-title":"Ann. Neurolog."},{"issue":"5","key":"73_CR7","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1177\/1756285613484079","volume":"6","author":"\u00c0 Rovira","year":"2013","unstructured":"Rovira, \u00c0., Auger, C., Alonso, J.: Magnetic resonance monitoring of lesion evolution in multiple sclerosis. Ther. Adv. Neurolog. Disord. 6(5), 298\u2013310 (2013)","journal-title":"Ther. Adv. Neurolog. Disord."},{"issue":"4","key":"73_CR8","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1212\/WNL.46.4.907","volume":"46","author":"FD Lublin","year":"1996","unstructured":"Lublin, F.D., Reingold, S.C., et al.: Defining the clinical course of multiple sclerosis results of an international survey. Neurology 46(4), 907\u2013911 (1996)","journal-title":"Neurology"},{"key":"73_CR9","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.nicl.2015.05.003","volume":"8","author":"S Jain","year":"2015","unstructured":"Jain, S., Sima, D.M., Ribbens, A., Cambron, M., Maertens, A., Van Hecke, W., De Mey, J., Barkhof, F., Steenwijk, M.D., Daams, M., et al.: Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images. NeuroImage Clin. 8, 367\u2013375 (2015)","journal-title":"NeuroImage Clin."},{"key":"73_CR10","doi-asserted-by":"crossref","unstructured":"Poullet, J.B.: Quantification and classification of magnetic resonance spectroscopic data for brain tumor diagnosis. Katholic University of Leuven (2008)","DOI":"10.1109\/IEMBS.2007.4353565"},{"issue":"2","key":"73_CR11","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"RA Fisher","year":"1936","unstructured":"Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugen. 7(2), 179\u2013188 (1936)","journal-title":"Ann. Eugen."},{"issue":"1","key":"73_CR12","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random Forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"3","key":"73_CR13","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"73_CR14","first-page":"2825","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.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"73_CR15","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint (2014). arXiv:1409.1556"},{"key":"73_CR16","unstructured":"Chollet, F.: Keras (2015). https:\/\/github.com\/fchollet\/keras"},{"key":"73_CR17","unstructured":"Theano Development Team: Theano: a Python framework for fast computation of mathematical expressions. arXiv e-prints abs\/1605.02688. http:\/\/arxiv.org\/abs\/1605.02688"},{"key":"73_CR18","doi-asserted-by":"crossref","unstructured":"Muthuraman, M., Fleischer, V., Kolber, P., Luessi, F., Zipp, F., Groppa, S.: Structural brain network characteristics can differentiate CIS from early RRMS. Front. Neurosci. 10 (2016). Article no. 14","DOI":"10.3389\/fnins.2016.00014"},{"key":"73_CR19","doi-asserted-by":"crossref","first-page":"478","DOI":"10.3389\/fnins.2016.00478","volume":"10","author":"G Kocevar","year":"2016","unstructured":"Kocevar, G., Stamile, C., Hannoun, S., Cotton, F., Vukusic, S., Durand-Dubief, F., Sappey-Marinier, D.: Graph theory-based brain connectivity for automatic classification of multiple sclerosis clinical courses. Front. Neurosci. 10, 478 (2016)","journal-title":"Front. Neurosci."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68612-7_73","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T05:10:15Z","timestamp":1659676215000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68612-7_73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319686110","9783319686127"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68612-7_73","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}