{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:45:58Z","timestamp":1742913958912,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"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_42","type":"book-chapter","created":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T14:28:53Z","timestamp":1498055333000},"page":"482-493","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology"],"prefix":"10.1007","author":[{"name":"The Alzheimer\u2019s Disease Neuroimaging Initiative","sequence":"first","affiliation":[]},{"given":"Muhammad Febrian","family":"Rachmadi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2771-6546","authenticated-orcid":false,"given":"Maria del C.","family":"Vald\u00e9s-Hern\u00e1ndez","sequence":"additional","affiliation":[]},{"given":"Maria Leonora Fatimah","family":"Agan","sequence":"additional","affiliation":[]},{"given":"Taku","family":"Komura","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"issue":"4","key":"42_CR1","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1016\/j.neurobiolaging.2013.10.072","volume":"35","author":"AC Birdsill","year":"2014","unstructured":"Birdsill, A.C., Koscik, R.L., Jonaitis, E.M., Johnson, S.C., Okonkwo, O.C., Hermann, B.P., LaRue, A., Sager, M.A., Bendlin, B.B.: Regional white matter hyperintensities: aging, Alzheimer\u2019s disease risk, and cognitive function. Neurobiol. Aging 35(4), 769\u2013776 (2014)","journal-title":"Neurobiol. Aging"},{"issue":"5","key":"42_CR2","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1109\/TMI.2016.2528821","volume":"35","author":"T Brosch","year":"2016","unstructured":"Brosch, T., Tang, L.Y.W., Yoo, Y., Li, D.K.B., Traboulsee, A., Tam, R.: Deep 3D convolutional encoder networks with shortcuts for multiscale feature integration applied to multiple sclerosis lesion segmentation. IEEE Trans. Med. Imaging 35(5), 1229\u20131239 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"42_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-24574-4_1","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"T Brosch","year":"2015","unstructured":"Brosch, T., Yoo, Y., Tang, L.Y.W., Li, D.K.B., Traboulsee, A., Tam, R.: Deep convolutional encoder networks for multiple sclerosis lesion segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 3\u201311. Springer, Cham (2015). doi: 10.1007\/978-3-319-24574-4_1"},{"unstructured":"Chollet, F.: Keras (2015). https:\/\/github.com\/fchollet\/keras","key":"42_CR4"},{"issue":"3","key":"42_CR5","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."},{"issue":"3","key":"42_CR6","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297\u2013302 (1945)","journal-title":"Ecology"},{"issue":"1","key":"42_CR7","first-page":"926","volume":"9","author":"G Hinton","year":"2010","unstructured":"Hinton, G.: A practical guide to training restricted boltzmann machines. Momentum 9(1), 926 (2010)","journal-title":"Momentum"},{"issue":"8","key":"42_CR8","doi-asserted-by":"crossref","first-page":"4219","DOI":"10.1002\/hbm.22472","volume":"35","author":"V Ithapu","year":"2014","unstructured":"Ithapu, V., Singh, V., Lindner, C., Austin, B.P., Hinrichs, C., Carlsson, C.M., Bendlin, B.B., Johnson, S.C.: Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer\u2019s disease risk and aging studies. Hum. Brain Mapp. 35(8), 4219\u20134235 (2014)","journal-title":"Hum. Brain Mapp."},{"issue":"2","key":"42_CR9","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1006\/nimg.2002.1132","volume":"17","author":"M Jenkinson","year":"2002","unstructured":"Jenkinson, M., Bannister, P., Brady, M., Smith, S.: Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17(2), 825\u2013841 (2002)","journal-title":"Neuroimage"},{"issue":"2","key":"42_CR10","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.neuroimage.2011.04.053","volume":"57","author":"S Kl\u00f6ppel","year":"2011","unstructured":"Kl\u00f6ppel, S., Abdulkadir, A., Hadjidemetriou, S., Issleib, S., Frings, L., Thanh, T.N., Mader, I., Teipel, S.J., H\u00fcll, M., Ronneberger, O.: A comparison of different automated methods for the detection of white matter lesions in MRI data. NeuroImage 57(2), 416\u2013422 (2011)","journal-title":"NeuroImage"},{"issue":"1","key":"42_CR11","doi-asserted-by":"publisher","first-page":"014002","DOI":"10.1117\/1.JMI.2.1.014002","volume":"2","author":"M Leite","year":"2015","unstructured":"Leite, M., Rittner, L., Appenzeller, S., Ruocco, H.H., Lotufo, R.: Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging. J. Med. Imaging 2(1), 014002 (2015)","journal-title":"J. Med. Imaging"},{"key":"42_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-642-35428-1_4","volume-title":"Machine Learning in Medical Imaging","author":"M Liu","year":"2012","unstructured":"Liu, M., Zhang, D., Yap, P.-T., Shen, D.: Hierarchical ensemble of multi-level classifiers for diagnosis of Alzheimer\u2019s disease. In: Wang, F., Shen, D., Yan, P., Suzuki, K. (eds.) MLMI 2012. LNCS, vol. 7588, pp. 27\u201335. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-35428-1_4"},{"issue":"12","key":"42_CR13","doi-asserted-by":"publisher","first-page":"e115551","DOI":"10.1371\/journal.pone.0115551","volume":"9","author":"ES Lutkenhoff","year":"2014","unstructured":"Lutkenhoff, E.S., Rosenberg, M., Chiang, J., Zhang, K., Pickard, J.D., Owen, A.M., Monti, M.M.: Optimized brain extraction for pathological brains (optibet). PLoS ONE 9(12), e115551 (2014)","journal-title":"PLoS ONE"},{"issue":"4","key":"42_CR14","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1016\/j.nic.2005.09.008","volume":"15","author":"SG Mueller","year":"2005","unstructured":"Mueller, S.G., Weiner, M.W., Thal, L.J., Petersen, R.C., Jack, C., Jagust, W., Trojanowski, J.Q., Toga, A.W., Beckett, L.: The Alzheimer\u2019s disease neuroimaging initiative. Neuroimaging Clin. N. Am. 15(4), 869\u2013877 (2005)","journal-title":"Neuroimaging Clin. N. Am."},{"unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML-2010), pp. 807\u2013814 (2010)","key":"42_CR15"},{"issue":"2","key":"42_CR16","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/42.836373","volume":"19","author":"LG Ny\u00fal","year":"2000","unstructured":"Ny\u00fal, L.G., Udupa, J.K., Zhang, X.: New variants of a method of MRI scale standardization. IEEE Trans. Med. Imaging 19(2), 143\u2013150 (2000)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"42_CR17","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1613\/jair.614","volume":"11","author":"D Opitz","year":"1999","unstructured":"Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. J. Artif. Intell. Res. 11, 169\u2013198 (1999)","journal-title":"J. Artif. Intell. Res."},{"unstructured":"Salakhutdinov, R., Hinton, G.E.: Deep boltzmann machines. In: International Conference on Artificial Intelligence and Statistics, pp. 448\u2013455 (2009)","key":"42_CR18"},{"issue":"4","key":"42_CR19","doi-asserted-by":"publisher","first-page":"3774","DOI":"10.1016\/j.neuroimage.2011.11.032","volume":"59","author":"P Schmidt","year":"2012","unstructured":"Schmidt, P., Gaser, C., Arsic, M., Buck, D., F\u00f6rschler, A., Berthele, A., Hoshi, M., Ilg, R., Schmid, V.J., Zimmer, C., et al.: An automated tool for detection of flair-hyperintense white-matter lesions in multiple sclerosis. Neuroimage 59(4), 3774\u20133783 (2012)","journal-title":"Neuroimage"},{"issue":"12","key":"42_CR20","doi-asserted-by":"crossref","first-page":"e00415","DOI":"10.1002\/brb3.415","volume":"5","author":"MDC Val\u00e9ds Hern\u00e1ndez","year":"2015","unstructured":"Val\u00e9ds Hern\u00e1ndez, M.D.C., Armitage, P.A., Thrippleton, M.J., Chappell, F., Sandeman, E., Muoz Maniega, S., Shuler, K., Wardlaw, J.M.: Rationale, design, methodology of the image analysis protocol for studies of patients with cerebral small vessel disease, mild stroke. Brain Behav. 5(12), e00415 (2015)","journal-title":"Brain Behav."},{"issue":"8","key":"42_CR21","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1016\/S1474-4422(13)70124-8","volume":"12","author":"JM Wardlaw","year":"2013","unstructured":"Wardlaw, J.M., Smith, E.E., Biessels, G.J., Cordonnier, C., Fazekas, F., Frayne, R., Lindley, R.I., O\u2019Brien, J.T., Barkhof, F., Benavente, O.R., et al.: Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 12(8), 822\u2013838 (2013)","journal-title":"Lancet Neurol."},{"issue":"1","key":"42_CR22","doi-asserted-by":"publisher","first-page":"S1","DOI":"10.1016\/j.jalz.2011.09.172","volume":"8","author":"MW Weiner","year":"2012","unstructured":"Weiner, M.W., Veitch, D.P., Aisen, P.S., Beckett, L.A., Cairns, N.J., Green, R.C., Harvey, D., Jack, C.R., Jagust, W., Liu, E., et al.: The Alzheimers disease neuroimaging initiative: a review of papers published since its inception. Alzheimer\u2019s Dement. 8(1), S1\u2013S68 (2012)","journal-title":"Alzheimer\u2019s Dement."}],"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_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T22:19:28Z","timestamp":1719267568000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60964-5_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319609638","9783319609645"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60964-5_42","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"}}]}}