{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:21:19Z","timestamp":1742912479659,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319308579"},{"type":"electronic","value":"9783319308586"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-30858-6_1","type":"book-chapter","created":{"date-parts":[[2016,3,18]],"date-time":"2016-03-18T11:13:12Z","timestamp":1458299592000},"page":"1-5","source":"Crossref","is-referenced-by-count":9,"title":["Brain Lesions, Introduction"],"prefix":"10.1007","author":[{"given":"Alessandro","family":"Crimi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"4","key":"1_CR1","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1136\/jnnp.2007.131045","volume":"79","author":"J Jankovic","year":"2008","unstructured":"Jankovic, J.: Parkinsons disease: clinical features and diagnosis. J. Neurol. Neurosurg. Psychiatry 79(4), 368\u2013376 (2008)","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"issue":"8","key":"1_CR2","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1016\/S1474-4422(07)70178-3","volume":"6","author":"B Dubois","year":"2007","unstructured":"Dubois, B., Feldman, H.H., Jacova, C., DeKosky, S.T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al.: Research criteria for the diagnosis of Alzheimer\u2019s disease: revising the NINCDS-ADRDA criteria. Lancet Neurol. 6(8), 734\u2013746 (2007)","journal-title":"Lancet Neurol."},{"issue":"9","key":"1_CR3","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1038\/ni0901-762","volume":"2","author":"L Steinman","year":"2001","unstructured":"Steinman, L.: Multiple sclerosis: a two-stage disease. Nat. Immunol. 2(9), 762\u2013764 (2001)","journal-title":"Nat. Immunol."},{"issue":"11","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.1200\/JCO.2009.26.3541","volume":"28","author":"PY Wen","year":"2010","unstructured":"Wen, P.Y., Macdonald, D.R., Reardon, D.A., Cloughesy, T.F., Sorensen, A.G., Galanis, E., DeGroot, J., Wick, W., Gilbert, M.R., Lassman, A.B., et al.: Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J. Clin. Oncol. 28(11), 1963\u20131972 (2010)","journal-title":"J. Clin. Oncol."},{"issue":"6","key":"1_CR5","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1016\/S1470-2045(11)70057-2","volume":"12","author":"M Bent van den","year":"2011","unstructured":"van den Bent, M., Wefel, J.S., Schiff, D., Taphoorn, M., Jaeckle, K., Junck, L., Armstrong, T., Choucair, A., Waldman, A., Gorlia, T., et al.: Response assessment in neuro-oncology (a report of the RANO group): assessment of outcome in trials of diffuse low-grade gliomas. Lancet Oncol. 12(6), 583\u2013593 (2011)","journal-title":"Lancet Oncol."},{"issue":"7","key":"1_CR6","doi-asserted-by":"publisher","first-page":"1900","DOI":"10.1093\/brain\/awq076","volume":"133","author":"E Leray","year":"2010","unstructured":"Leray, E., Yaouanq, J., Le Page, E., Coustans, M., Laplaud, D., Oger, J., Edan, G.: Evidence for a two-stage disability progression in multiple sclerosis. Brain 133(7), 1900\u20131913 (2010)","journal-title":"Brain"},{"issue":"4","key":"1_CR7","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1111\/j.1468-1331.2006.01543.x","volume":"13","author":"M Filippi","year":"2006","unstructured":"Filippi, M., Rocca, M.A., Arnold, D.L., Bakshi, R., Barkhof, F., De Stefano, N., Fazekas, F., Frohman, E., Wolinsky, J.S.: EFNS guidelines on the use of neuroimaging in the management of multiple sclerosis. Eur. J. Neurol. 13(4), 313\u2013325 (2006)","journal-title":"Eur. J. Neurol."},{"issue":"8","key":"1_CR8","first-page":"1534","volume":"22","author":"JW Pexman","year":"2001","unstructured":"Pexman, J.W., Barber, P.A., Hill, M.D., Sevick, R.J., Demchuk, A.M., Hudon, M.E., Hu, W.Y., Buchan, A.M.: Use of the Alberta stroke program early CT score (aspects) for assessing CT scans in patients with acute stroke. Am. J. Neuroradiol. 22(8), 1534\u20131542 (2001)","journal-title":"Am. J. Neuroradiol."},{"issue":"pt. 2","key":"1_CR9","first-page":"449","volume":"134","author":"KM Kinnunen","year":"2010","unstructured":"Kinnunen, K.M., Greenwood, R., Powell, J.H., Leech, R., Hawkins, P.C., Bonnelle, V., Patel, M.C., Counsell, S.J., Sharp, D.J.: White matter damage and cognitive impairment after traumatic brain injury. Brain 134(pt. 2), 449\u2013463 (2010)","journal-title":"Brain"},{"issue":"4","key":"1_CR10","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1016\/j.neuroimage.2006.02.024","volume":"31","author":"SM Smith","year":"2006","unstructured":"Smith, S.M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T.E., Mackay, C.E., Watkins, K.E., Ciccarelli, O., Cader, M.Z., Matthews, P.M., et al.: Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31(4), 1487\u20131505 (2006)","journal-title":"Neuroimage"},{"issue":"4","key":"1_CR11","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1097\/00006123-199710000-00013","volume":"41","author":"PM Black","year":"1997","unstructured":"Black, P.M., Moriarty, T., Alexander III, E., Stieg, P., Woodard, E.J., Gleason, P.L., Martin, C.H., Kikinis, R., Schwartz, R.B., Jolesz, F.A.: Development and implementation of intraoperative magnetic resonance imaging and its neurosurgical applications. Neurosurgery 41(4), 831\u2013845 (1997)","journal-title":"Neurosurgery"},{"issue":"5","key":"1_CR12","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/S1470-2045(08)70125-6","volume":"9","author":"D Brandsma","year":"2008","unstructured":"Brandsma, D., Stalpers, L., Taal, W., Sminia, P., van den Bent, M.J.: Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas. Lancet Oncol. 9(5), 453\u2013461 (2008)","journal-title":"Lancet Oncol."},{"issue":"6","key":"1_CR13","doi-asserted-by":"publisher","first-page":"865","DOI":"10.3171\/jns.1987.66.6.0865","volume":"66","author":"PJ Kelly","year":"1987","unstructured":"Kelly, P.J., Daumas-Duport, C., Kispert, D.B., Kall, B.A., Scheithauer, B.W., Illig, J.J.: Imaging-based stereotaxic serial biopsies in untreated intracranial glial neoplasms. J. Neurosurg. 66(6), 865\u2013874 (1987)","journal-title":"J. Neurosurg."},{"issue":"12","key":"1_CR14","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1016\/S1076-6332(03)00506-3","volume":"10","author":"M Prastawa","year":"2003","unstructured":"Prastawa, M., Bullitt, E., Moon, N., Van Leemput, K., Gerig, G.: Automatic brain tumor segmentation by subject specific modification of atlas priors 1. Acad. Radiol. 10(12), 1341\u20131348 (2003)","journal-title":"Acad. Radiol."},{"issue":"3","key":"1_CR15","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.media.2004.06.007","volume":"8","author":"M Prastawa","year":"2004","unstructured":"Prastawa, M., Bullitt, E., Ho, S., Gerig, G.: A brain tumor segmentation framework based on outlier detection. Med. Image Anal. 8(3), 275\u2013283 (2004)","journal-title":"Med. Image Anal."},{"key":"1_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/978-3-540-85988-8_43","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2008","author":"C-H Lee","year":"2008","unstructured":"Lee, C.-H., Wang, S., Murtha, A., Brown, M.R.G., Greiner, R.: Segmenting brain tumors using pseudo\u2013conditional random fields. In: Metaxas, D., Axel, L., Fichtinger, G., Sz\u00e9kely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 359\u2013366. Springer, Heidelberg (2008)"},{"issue":"8","key":"1_CR17","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1109\/42.938237","volume":"20","author":"K Leemput Van","year":"2001","unstructured":"Van Leemput, K., Maes, F., Vandermeulen, D., Colchester, A., Suetens, P.: Automated segmentation of multiple sclerosis lesions by model outlier detection. IEEE Trans. Med. Imaging 20(8), 677\u2013688 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"1_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/978-3-642-40760-4_68","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"Z Karimaghaloo","year":"2013","unstructured":"Karimaghaloo, Z., Rivaz, H., Arnold, D.L., Collins, D.L., Arbel, T.: Adaptive voxel, texture and temporal conditional random fields for detection of gad-enhancing multiple sclerosis lesions in brain MRI. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part III. LNCS, vol. 8151, pp. 543\u2013550. Springer, Heidelberg (2013)"},{"issue":"1","key":"1_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1\u2013127 (2009)","journal-title":"Found. Trends Mach. Learn."},{"issue":"3","key":"1_CR20","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"},{"key":"1_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1007\/3-540-45468-3_62","volume-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001","author":"G Gerig","year":"2001","unstructured":"Gerig, G., Jomier, M., Chakos, M.: Valmet: a new validation tool for assessing and improving 3D object segmentation. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 516\u2013523. Springer, Heidelberg (2001)"},{"issue":"1","key":"1_CR22","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1148\/radiol.14131731","volume":"273","author":"O Gevaert","year":"2014","unstructured":"Gevaert, O., Mitchell, L.A., Achrol, A.S., Xu, J., Echegaray, S., Steinberg, G.K., Cheshier, S.H., Napel, S., Zaharchuk, G., Plevritis, S.K.: Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features. Radiology 273(1), 168\u2013174 (2014)","journal-title":"Radiology"},{"issue":"10","key":"1_CR23","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/j.cad.2009.02.007","volume":"41","author":"M Reuter","year":"2009","unstructured":"Reuter, M., Wolter, F.E., Shenton, M., Niethammer, M.: Laplace-Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis. Comput. Aided Des. 41(10), 739\u2013755 (2009)","journal-title":"Comput. Aided Des."},{"issue":"4","key":"1_CR24","doi-asserted-by":"publisher","first-page":"1476","DOI":"10.1016\/j.neuroimage.2009.05.036","volume":"47","author":"E Gerardin","year":"2009","unstructured":"Gerardin, E., Ch\u00e9telat, G., Chupin, M., Cuingnet, R., Desgranges, B., Kim, H.S., Niethammer, M., Dubois, B., Leh\u00e9ricy, S., Garnero, L., et al.: Multidimensional classification of hippocampal shape features discriminates Alzheimer\u2019s disease and mild cognitive impairment from normal aging. Neuroimage 47(4), 1476\u20131486 (2009)","journal-title":"Neuroimage"},{"issue":"4","key":"1_CR25","doi-asserted-by":"publisher","first-page":"e93024","DOI":"10.1371\/journal.pone.0093024","volume":"9","author":"A Crimi","year":"2014","unstructured":"Crimi, A., Commowick, O., Maarouf, A., Ferr\u00e9, J.C., Bannier, E., Tourbah, A., Berry, I., Ranjeva, J.P., Edan, G., Barillot, C.: Predictive value of imaging markers at multiple sclerosis disease onset based on gadolinium- and USPIO-enhanced MRI and machine learning. PLoS ONE 9(4), e93024 (2014)","journal-title":"PLoS ONE"},{"issue":"4","key":"1_CR26","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.1016\/j.neuroimage.2009.05.029","volume":"47","author":"KO Babalola","year":"2009","unstructured":"Babalola, K.O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., Smith, S., Cootes, T., Jenkinson, M., Rueckert, D.: An evaluation of four automatic methods of segmenting the subcortical structures in the brain. Neuroimage 47(4), 1435\u20131447 (2009)","journal-title":"Neuroimage"}],"container-title":["Lecture Notes in Computer Science","Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-30858-6_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T15:19:44Z","timestamp":1559402384000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-30858-6_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319308579","9783319308586"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-30858-6_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}