{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T04:34:45Z","timestamp":1772339685787,"version":"3.50.1"},"reference-count":61,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2003,12,1]],"date-time":"2003-12-01T00:00:00Z","timestamp":1070236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Image Analysis"],"published-print":{"date-parts":[[2003,12]]},"DOI":"10.1016\/s1361-8415(03)00037-9","type":"journal-article","created":{"date-parts":[[2003,10,15]],"date-time":"2003-10-15T11:38:36Z","timestamp":1066217916000},"page":"513-527","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":250,"title":["A fully automatic and robust brain MRI tissue classification method"],"prefix":"10.1016","volume":"7","author":[{"given":"Chris A.","family":"Cocosco","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alex P.","family":"Zijdenbos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan C.","family":"Evans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S1361-8415(03)00037-9_BIB1","series-title":"Discrete Mathematics with Algorithms","author":"Albertson","year":"1988"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB2","first-page":"381","article-title":"Algorithms for fast vector quantization","author":"Arya","year":"1993"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB3","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1145\/293347.293348","article-title":"An optimal algorithm for approximate nearest neighbor searching","volume":"45","author":"Arya","year":"1998","journal-title":"Journal of the ACM"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB4","unstructured":"Ashburner, J., 2000. Computational neuroanatomy. Ph.D. thesis, University College London."},{"issue":"6","key":"10.1016\/S1361-8415(03)00037-9_BIB5","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1006\/nimg.2000.0582","article-title":"Voxel-based morphometry\u2014the methods","volume":"11","author":"Ashburner","year":"2000","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB6","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1109\/42.97590","article-title":"Partial volume tissue classification of multichannel magnetic resonance images \u2013 a mixel model","volume":"10","author":"Choi","year":"1991","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/S1361-8415(03)00037-9_BIB7","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/0730-725X(93)90417-C","article-title":"MRI: stability of three supervised segmentation techniques","volume":"11","author":"Clarke","year":"1993","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB8","unstructured":"Cocosco, C., Kollokian, V., Kwan, R.-S., Evans, A., 1997. Brainweb: Online interface to a 3D MRI simulated brain database. In: NeuroImage (Proc. of HBM\u201997). Vol. 5 (4, part 2\/4). Academic Press, New York, p. S425."},{"key":"10.1016\/S1361-8415(03)00037-9_BIB9","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1177\/001316446002000104","article-title":"A coefficient of agreement for nominal scales","volume":"20","author":"Cohen","year":"1960","journal-title":"Educational and Psychological Measurements"},{"issue":"8","key":"10.1016\/S1361-8415(03)00037-9_BIB10","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1142\/S0218001497000597","article-title":"Animal: validation and applications of non-linear registration-based segmentation","volume":"11","author":"Collins","year":"1997","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB11","doi-asserted-by":"crossref","unstructured":"Collins, D., Montagnat, J., Zijdenbos, A., Evans, A., Arnold, D., 2001. Automated estimation of brain volume in multiple sclerosis with BICCR. In: Insana, M.F., Leahy, R.M. (Eds.), Proc. of IPMI 2001. Vol. 2082 of LNCS. Springer, Berlin, pp. 141\u2013147.","DOI":"10.1007\/3-540-45729-1_12"},{"issue":"2","key":"10.1016\/S1361-8415(03)00037-9_BIB12","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1097\/00004728-199403000-00005","article-title":"Automatic 3D inter-subject registration of MR volumetric data in standardized Talairach space","volume":"18","author":"Collins","year":"1994","journal-title":"J. Comput. Assist. Tomogr"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB13","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1109\/42.712135","article-title":"Design and construction of a realistic digital brain phantom","volume":"17","author":"Collins","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB14","series-title":"Introduction To Algorithms","author":"Cormen","year":"1990"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB15","doi-asserted-by":"crossref","unstructured":"D\u2019Agostino, E., Maes, F., Vandermeulen, D., Suetens, P., 2002. A viscous fluid model for multimodal non-rigid image registration using mutual information. In: Dohi, T., Kikinis, R. (Eds.), Proc. of MICCAI 2002. Vol. 2489 of LNCS. Springer, Berlin, pp. 541\u2013548.","DOI":"10.1007\/3-540-45787-9_68"},{"issue":"2","key":"10.1016\/S1361-8415(03)00037-9_BIB16","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1097\/00004728-199203000-00018","article-title":"Method for quantification of brain, ventricular and subarachnoid CSF volumes from MR images","volume":"16","author":"DeCarli","year":"1992","journal-title":"J. Comput. Assist. Tomogr"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB17","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1214\/aos\/1176345647","article-title":"On the almost everywhere convergence of nonparametric regression function estimates","volume":"9","author":"Devroye","year":"1981","journal-title":"Annals of Statistics"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB18","series-title":"Pattern Classification","author":"Duda","year":"2001"},{"issue":"2","key":"10.1016\/S1361-8415(03)00037-9_BIB19","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/0898-1221(86)90076-3","article-title":"Choice of the smoothing parameter and efficiency of k-nearest neighbour classification","volume":"12A","author":"Enas","year":"1986","journal-title":"Computers and Mathematics with Applications"},{"issue":"20","key":"10.1016\/S1361-8415(03)00037-9_BIB20","doi-asserted-by":"crossref","first-page":"11044","DOI":"10.1073\/pnas.200033797","article-title":"Measuring the thickness of the human cerebral cortex from magnetic resonance images","volume":"97","author":"Fischl","year":"2000","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB21","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1109\/42.585758","article-title":"Estimating the bias field of MR images","volume":"16","author":"Guillemaud","year":"1997","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB22","doi-asserted-by":"crossref","unstructured":"Hahn, H.K., Peitgen, H.-O., 2000. The skull stripping problem in MRI solved by a single 3D watershed transform. In: Delp, S.L., DiGioia, A.M., Jaramaz, B. (Eds.), Proc. of MICCAI 2000. Vol. 1935 of LNCS. Springer, Berlin, pp. 134\u2013143.","DOI":"10.1007\/978-3-540-40899-4_14"},{"issue":"6","key":"10.1016\/S1361-8415(03)00037-9_BIB23","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1109\/42.650883","article-title":"Markov random field segmentation of brain MR images","volume":"16","author":"Held","year":"1997","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB24","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1002\/1097-0193(200009)11:1<12::AID-HBM20>3.0.CO;2-K","article-title":"Three-dimensional mapping of cortical thickness using Laplace\u2019s equation","volume":"11","author":"Jones","year":"2000","journal-title":"Hum. Brain Mapp"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB25","doi-asserted-by":"crossref","unstructured":"Justice, R.K., Stokeley, E.M., Strobel, J.S., Ideker, R.E., Smith, W.M., 1997. Medical image segmentation using 3-D seeded region growing. In: Proc. of SPIE: Image Processing. Vol. 3034. pp. 900\u2013910.","DOI":"10.1117\/12.274179"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB26","article-title":"Hemispheric differences in gray matter volume of adult human brain","author":"Kabani","year":"1997"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB27","doi-asserted-by":"crossref","unstructured":"Kabani, N., MacDonald, D., Holmes, C., Evans, A., 1998. 3D atlas of the human brain. In: Neuroimage (Proc. of HBM\u201998). Vol. 7 (4). Academic Press, New York.","DOI":"10.1016\/S1053-8119(18)31550-7"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB28","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1109\/42.414608","article-title":"Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images","volume":"14","author":"Kamber","year":"1995","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB29","series-title":"Principles of Neural Science","author":"Kandel","year":"2000"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB30","unstructured":"Kollokian, V., 1996. Performance analysis of automatic techniques for tissue classification in magnetic resonance images of the human brain. Master\u2019s thesis, Computer Science, Concordia University, Montreal, Quebec, Canada."},{"key":"10.1016\/S1361-8415(03)00037-9_BIB31","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1090\/S0002-9939-1956-0078686-7","article-title":"On the shortest spanning subtree of a graph and the traveling salesman problem","volume":"7","author":"Kruskal","year":"1956","journal-title":"Proceedings of the American Mathematical Society"},{"issue":"11","key":"10.1016\/S1361-8415(03)00037-9_BIB32","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1109\/42.816072","article-title":"MRI simulation-based evaluation of image-processing and classification methods","volume":"18","author":"Kwan","year":"1999","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/S1361-8415(03)00037-9_BIB33","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/42.668696","article-title":"Partial-volume bayesian classification of material mixtures in MR volume data using voxel histograms","volume":"17","author":"Laidlaw","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB34","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1006\/nimg.1999.0534","article-title":"Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI","volume":"12","author":"MacDonald","year":"2000","journal-title":"Neuroimage"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB35","unstructured":"MNI, 1997. Brainweb-Simulated Brain Database. http:\/\/www.bic.mni.mcgill.ca\/brainweb\/"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB36","unstructured":"Mount, D., Arya, S., 1998. ANN: Library for approximate nearest neighbor searching. http:\/\/www.cs.umd.edu\/\u223cmount\/ANN\/"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB37","series-title":"Computational Geometry in C","author":"O\u2019Rourke","year":"1998"},{"issue":"5409","key":"10.1016\/S1361-8415(03)00037-9_BIB38","doi-asserted-by":"crossref","first-page":"1908","DOI":"10.1126\/science.283.5409.1908","article-title":"Structural maturation of neural pathways in children and adolescents: in vivo study","volume":"283","author":"Paus","year":"1999","journal-title":"Science"},{"issue":"9","key":"10.1016\/S1361-8415(03)00037-9_BIB39","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1109\/42.802752","article-title":"Adaptive fuzzy segmentation of magnetic resonance images","volume":"18","author":"Pham","year":"1999","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB40","doi-asserted-by":"crossref","unstructured":"Pohl, K., Wells, W., Guimond, A., Kasai, K., Shenton, M., Kikinis, R., Grimson, W., Warfield, S., 2002. Incorporating non-rigid registration into expectation maximization algorithm to segment MR images. In: Dohi, T., Kikinis, R. (Eds.), Proc. of MICCAI 2002. Vol. 2488 of LNCS. Springer, Berlin, pp. 564\u2013571.","DOI":"10.1007\/3-540-45786-0_70"},{"issue":"2","key":"10.1016\/S1361-8415(03)00037-9_BIB41","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1109\/42.563663","article-title":"Statistical approach to segmentation of single-channel cerebral MR images","volume":"16","author":"Rajapakse","year":"1997","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"10.1016\/S1361-8415(03)00037-9_BIB42","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1001\/archpsyc.56.7.649","article-title":"Progressive cortical change during adolescence in childhood-onset schizophrenia. a longitudinal magnetic resonance imaging study","volume":"56","author":"Rapoport","year":"1999","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB43","first-page":"350","article-title":"Application of artificial neural networks for tissue classification from multispectral magnetic resonance images of the head","author":"Schellenberg","year":"1990"},{"issue":"2","key":"10.1016\/S1361-8415(03)00037-9_BIB44","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1109\/42.700730","article-title":"Robust parameter estimation of intensity distributions for brain magnetic resonance images","volume":"17","author":"Schroeter","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"10.1016\/S1361-8415(03)00037-9_BIB45","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1109\/42.730409","article-title":"Standing-wave and RF penetration artifacts caused by elliptic geometry: an electrodynamic analysis of MRI","volume":"17","author":"Sled","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/S1361-8415(03)00037-9_BIB46","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/42.668698","article-title":"A nonparametric method for automatic correction of intensity nonuniformity in MRI data","volume":"17","author":"Sled","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB47","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/hbm.10062","article-title":"Fast robust automated brain extraction","volume":"17","author":"Smith","year":"2002","journal-title":"Hum. Brain Mapp"},{"issue":"6","key":"10.1016\/S1361-8415(03)00037-9_BIB48","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1006\/nimg.2000.0661","article-title":"Automatic morphology-based brain segmentation (MBRASE) from MRI-T1 data","volume":"12","author":"Stokking","year":"2000","journal-title":"Neuroimage"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB49","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1214\/aos\/1176343886","article-title":"Consistent nonparametric regression","volume":"5","author":"Stone","year":"1977","journal-title":"Annals of Statistics"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB50","series-title":"Co-planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System \u2013 An Approach To Cerebral Imaging","author":"Talairach","year":"1988"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB51","unstructured":"The MathWorks Inc., 1998. Matlab. http:\/\/www.mathworks.com"},{"issue":"3","key":"10.1016\/S1361-8415(03)00037-9_BIB52","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1006\/gmip.1996.0021","article-title":"Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation","volume":"58","author":"Udupa","year":"1996","journal-title":"Graphical Models and Image Processing"},{"issue":"10","key":"10.1016\/S1361-8415(03)00037-9_BIB53","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1109\/42.811268","article-title":"Automated model-based bias field correction of MR images of the brain","volume":"18","author":"Van Leemput","year":"1999","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10","key":"10.1016\/S1361-8415(03)00037-9_BIB54","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1109\/42.811270","article-title":"Automated model-based tissue classification of MR images of the brain","volume":"18","author":"Van Leemput","year":"1999","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"11","key":"10.1016\/S1361-8415(03)00037-9_BIB55","first-page":"105","article-title":"A unifying framework for partial volume segmentation of brain MR images","volume":"21","author":"Van Leemput","year":"2002","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/S1361-8415(03)00037-9_BIB56","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/S1361-8415(00)00003-7","article-title":"Adaptive, template moderated, spatially varying statistical classification","volume":"4","author":"Warfield","year":"2000","journal-title":"Med. Image Anal"},{"issue":"4","key":"10.1016\/S1361-8415(03)00037-9_BIB57","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1109\/42.511747","article-title":"Adaptive segmentation of MRI data","volume":"15","author":"Wells","year":"1996","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB58","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1006\/nimg.1995.1032","article-title":"A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia","volume":"2","author":"Wright","year":"1995","journal-title":"Neuroimage"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB59","first-page":"201","article-title":"An adaptive bayesian approach to three-dimensional MR brain segmentation","author":"Yan","year":"1995"},{"key":"10.1016\/S1361-8415(03)00037-9_BIB60","doi-asserted-by":"crossref","unstructured":"Zijdenbos, A., Forghani, R., Evans, A., 1998. Automatic quantification of MS lesions in 3D MRI brain data sets: Validation of INSECT. In: Wells, W.M., Colchester, A.C.F., Delp, S. (Eds.), Proc. of MICCAI\u201998. Vol. 1496 of LNCS. Springer, Berlin, pp. 439\u2013448.","DOI":"10.1007\/BFb0056229"},{"issue":"10","key":"10.1016\/S1361-8415(03)00037-9_BIB61","doi-asserted-by":"crossref","first-page":"1280","DOI":"10.1109\/TMI.2002.806283","article-title":"Automatic \u2018pipeline\u2019 analysis of 3D MRI data for clinical trials: application to multiple sclerosis","volume":"21","author":"Zijdenbos","year":"2002","journal-title":"IEEE Trans. Med. Imaging"}],"updated-by":[{"DOI":"10.1016\/j.media.2003.10.001","type":"erratum","label":"Erratum","source":"publisher","updated":{"date-parts":[[2004,3,1]],"date-time":"2004-03-01T00:00:00Z","timestamp":1078099200000}}],"container-title":["Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841503000379?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841503000379?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T18:31:57Z","timestamp":1761244317000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1361841503000379"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,12]]},"references-count":61,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2003,12]]}},"alternative-id":["S1361841503000379"],"URL":"https:\/\/doi.org\/10.1016\/s1361-8415(03)00037-9","relation":{},"ISSN":["1361-8415"],"issn-type":[{"value":"1361-8415","type":"print"}],"subject":[],"published":{"date-parts":[[2003,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A fully automatic and robust brain MRI tissue classification method","name":"articletitle","label":"Article Title"},{"value":"Medical Image Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/S1361-8415(03)00037-9","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"converted-article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2003 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}