{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:42:26Z","timestamp":1729665746565,"version":"3.28.0"},"reference-count":22,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3,12]]},"DOI":"10.1117\/12.2293449","type":"proceedings-article","created":{"date-parts":[[2018,3,12]],"date-time":"2018-03-12T21:48:28Z","timestamp":1520891308000},"page":"1","source":"Crossref","is-referenced-by-count":1,"title":["Classifying Alzheimer's disease using probability distribution distance of fractional anisotropy and trace from diffusion tensor imaging in combination with whole-brain segmentations"],"prefix":"10.1117","author":[{"given":"Yuanyuan","family":"Wei","sequence":"first","affiliation":[]},{"given":"Zhibin","family":"Chen","sequence":"first","affiliation":[]},{"given":"Xiaoying","family":"Tang","sequence":"first","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.34.7.939"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(07)70178-3"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awp105"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.07.006"},{"issue":"2","key":"c5","first-page":"599","article-title":"Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer\u2019s disease","volume":"44","author":"Tang","year":"2015"},{"key":"c6","doi-asserted-by":"publisher","DOI":"10.1007\/s00234-008-0463-x"},{"key":"c7","first-page":"1013712","article-title":"Automated diagnosis of Alzheimer\u2019s disease with multi-atlas based whole brain segmentations","author":"Luo","year":"2017"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2016.05.001"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1007\/s12031-007-0029-0"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2005.03.026"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1002\/(ISSN)1522-2586"},{"key":"c12","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.201.3.8939209"},{"key":"c13","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23491"},{"issue":"5","key":"c14","first-page":"952","article-title":"Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis","volume":"22","author":"Cercignani","year":"2001"},{"key":"c15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.02.033"},{"key":"c16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0096985"},{"key":"c17","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awm319"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"c19","doi-asserted-by":"crossref","unstructured":"Sch\u00f6lkopf, B. and Smola, A. J., [Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond], The MIT Press, Cambridge MA (2001).","DOI":"10.7551\/mitpress\/4175.001.0001"},{"key":"c20","doi-asserted-by":"publisher","DOI":"10.1137\/1026034"},{"issue":"1","key":"c21","first-page":"1","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"Dempster","year":"1977"},{"issue":"3","key":"c22","first-page":"1","article-title":"LIBSVM: A library for support vector machines","volume":"2","author":"Chang","year":"2011"}],"event":{"name":"Biomedical Applications in Molecular, Structural, and Functional Imaging","start":{"date-parts":[[2018,2,10]]},"location":"Houston, United States","end":{"date-parts":[[2018,2,15]]}},"container-title":["Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging"],"original-title":[],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T23:30:27Z","timestamp":1719876627000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10578\/2293449\/Classifying-Alzheimers-disease-using-probability-distribution-distance-of-fractional-anisotropy\/10.1117\/12.2293449.full"}},"subtitle":[],"editor":[{"given":"Barjor","family":"Gimi","sequence":"first","affiliation":[]},{"given":"Andrzej","family":"Krol","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,3,12]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1117\/12.2293449","relation":{},"subject":[],"published":{"date-parts":[[2018,3,12]]}}}