{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:54:31Z","timestamp":1742936071753,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642236259"},{"type":"electronic","value":"9783642236266"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-23626-6_47","type":"book-chapter","created":{"date-parts":[[2011,9,20]],"date-time":"2011-09-20T06:18:46Z","timestamp":1316499526000},"page":"378-386","source":"Crossref","is-referenced-by-count":7,"title":["Adaptive Neonate Brain Segmentation"],"prefix":"10.1007","author":[{"given":"M. Jorge","family":"Cardoso","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Melbourne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giles S.","family":"Kendall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Modat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelia F.","family":"Hagmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola J.","family":"Robertson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neil","family":"Marlow","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastien","family":"Ourselin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"1","key":"47_CR1","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1056\/NEJMoa041367","volume":"352","author":"N. Marlow","year":"2005","unstructured":"Marlow, N., Wolke, D., Bracewell, M.A., Samara, M.: Neurologic and developmental disability at six years of age after extremely preterm birth. New England Journal of Medicine\u00a0352(1), 9\u201319 (2005)","journal-title":"New England Journal of Medicine"},{"issue":"2","key":"47_CR2","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.neuroimage.2010.04.261","volume":"52","author":"J. Boardman","year":"2010","unstructured":"Boardman, J., Craven, C., Valappil, S., Counsell, S., Dyet, L., Rueckert, D., Aljabar, P., Rutherford, M., Chew, A., Allsop, J., Cowan, F., Edwards, A.: A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm. NeuroImage\u00a052(2), 409\u2013414 (2010)","journal-title":"NeuroImage"},{"issue":"2","key":"47_CR3","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1016\/j.neuroimage.2009.04.068","volume":"47","author":"N.I. Weisenfeld","year":"2009","unstructured":"Weisenfeld, N.I., Warfield, S.K.: Automatic segmentation of newborn brain mri. NeuroImage\u00a047(2), 564\u2013572 (2009)","journal-title":"NeuroImage"},{"key":"47_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1007\/978-3-540-75757-3_107","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2007","author":"Z. Song","year":"2007","unstructured":"Song, Z., Awate, S., Licht, D., Gee, J.: Clinical neonatal brain mri segmentation using adaptive nonparametric data models. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. LNCS, vol.\u00a04791, pp. 883\u2013890. Springer, Heidelberg (2007)"},{"key":"47_CR5","doi-asserted-by":"crossref","unstructured":"Yu, X., Zhang, Y., Lasky, R.E., Parikh, N.A., Narayana, P.A.: Comprehensive brain mri segmentation in high risk preterm newborns. PLoS ONE 5(11) (2010)","DOI":"10.1371\/journal.pone.0013874"},{"issue":"3","key":"47_CR6","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1016\/j.neuroimage.2007.07.030","volume":"38","author":"H. Xue","year":"2007","unstructured":"Xue, H., Srinivasan, L., Jiang, S., Rutherford, M., Edwards, A.D., Rueckert, D., Hajnal, J.V.: Automatic segmentation and reconstruction of the cortex from neonatal mri. NeuroImage\u00a038(3), 461\u2013477 (2007)","journal-title":"NeuroImage"},{"issue":"4","key":"47_CR7","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1109\/42.511747","volume":"15","author":"W. Wells","year":"1996","unstructured":"Wells, W., Grimson, W.E., Kikinis, R., Jolesz, F.A.: Adaptive segmentation of MRI data. IEEE Transactions on Medical Imaging\u00a015(4), 429\u2013442 (1996)","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"1","key":"47_CR8","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y. Zhang","year":"2001","unstructured":"Zhang, Y., Brady, M., Smith, S.M.: Segmentation of brain MR images through a hidden markov random field model and the expectation-maximization algorithm. IEEE Transactions on Medical Imaging\u00a020(1), 45\u201357 (2001)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated model-based tissue classification of MR images of the brain. IEEE TMI 18(10) (1999)","DOI":"10.1109\/42.811270"},{"issue":"10","key":"47_CR10","doi-asserted-by":"publisher","first-page":"2570","DOI":"10.1109\/78.157297","volume":"40","author":"J. Zhang","year":"1992","unstructured":"Zhang, J.: The mean field theory in em procedures for markov random fields. IEEE Transactions on Signal Processing\u00a040(10), 2570\u20132583 (1992)","journal-title":"IEEE Transactions on Signal Processing"},{"key":"47_CR11","unstructured":"Shiee, N., Bazin, P.L., Cuzzocreo, J.L., Blitz, A., Pham, D.L.: Segmentation of brain images using adaptive atlases with application to ventriculomegaly"},{"key":"47_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1007\/978-3-540-40899-4_57","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2000","author":"S. Ourselin","year":"2000","unstructured":"Ourselin, S., Roche, A., Prima, S., Ayache, N.: Block matching: A general framework to improve robustness of rigid registration of medical images. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol.\u00a01935, pp. 557\u2013566. Springer, Heidelberg (2000)"},{"key":"47_CR13","doi-asserted-by":"crossref","unstructured":"Modat, M., Ridgway, G., Taylor, Z., Lehmann, M., Barnes, J., Hawkes, D., Fox, N., Ourselin, S.: Fast free-form deformation using graphics processing units. Computer Methods and Programs in Biomedicine (October 2009)","DOI":"10.1016\/j.cmpb.2009.09.002"},{"key":"47_CR14","doi-asserted-by":"crossref","unstructured":"Kuklisova-Murgasova, M., Aljabar, P., Srinivasan, L., Counsell, S.J., Gousias, I.S., Boardman, J.P., Rutherford, M.A., Edwards, A.D., Hajnal, J.V., Rueckert, D.: A dynamic 4d probabilistic atlas of the developing brain. NeuroImage 54(4) (2011)","DOI":"10.1016\/j.neuroimage.2010.10.019"},{"issue":"1","key":"47_CR15","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TMI.2002.806587","volume":"22","author":"K. Leemput Van","year":"2003","unstructured":"Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: A unifying framework for partial volume segmentation of brain MR images. IEEE Transactions on Medical Imaging\u00a022(1), 105\u2013119 (2003)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"47_CR16","doi-asserted-by":"crossref","unstructured":"Ruan, S., Jaggi, C., Fadili, J., Bloyet, D.: Brain tissue classification of magnetic resonance images using partial volume modeling. IEEE TMI 19(12) (December 2000)","DOI":"10.1109\/42.897810"},{"issue":"3","key":"47_CR17","doi-asserted-by":"publisher","first-page":"1386","DOI":"10.1016\/j.neuroimage.2011.02.013","volume":"56","author":"M.J. Cardoso","year":"2011","unstructured":"Cardoso, M.J., Clarkson, M.J., Ridgway, G.R., Modat, M., Fox, N.C., Ourselin, S., The Alzheimer\u2019s Disease Neuroimaging Initiative.: LoAd: A locally adaptive cortical segmentation algorithm. NeuroImage\u00a056(3), 1386\u20131397 (2011)","journal-title":"NeuroImage"},{"key":"47_CR18","doi-asserted-by":"crossref","unstructured":"Kitamoto, A., Takagi, M.: Image classification using probabilistic models that reflect the internal structure of mixels. Pattern Analysis and Applications 2 (1999)","DOI":"10.1007\/s100440050012"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23626-6_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,15]],"date-time":"2019-06-15T21:41:45Z","timestamp":1560634905000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23626-6_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642236259","9783642236266"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23626-6_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}