{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T05:34:59Z","timestamp":1790832899254,"version":"4.1.0"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T00:00:00Z","timestamp":1539907200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008020","name":"Sidney Myer Fund and Myer Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008020","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1020526"],"award-info":[{"award-number":["APP1020526"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000942","name":"Brain Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000942","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004752","name":"State Government of Victoria","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004752","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1016\/j.nicl.2018.10.019","type":"journal-article","created":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T03:04:09Z","timestamp":1540177449000},"page":"101581","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":32,"special_numbering":"C","title":["A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants"],"prefix":"10.1016","volume":"21","author":[{"given":"Mohamed Salah","family":"Khlif","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9244-2900","authenticated-orcid":false,"given":"Natalia","family":"Egorova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emilio","family":"Werden","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Redolfi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marina","family":"Boccardi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles S.","family":"DeCarli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evan","family":"Fletcher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baljeet","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7214-8122","authenticated-orcid":false,"given":"Qi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Bird","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Brodtmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2018.10.019_bb0005","doi-asserted-by":"crossref","first-page":"3063","DOI":"10.1093\/brain\/aww194","article-title":"Brain networks under attack: robustness properties and the impact of lesions","volume":"139","author":"Aerts","year":"2016","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2018.10.019_bb0010","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1016\/j.neuroimage.2009.02.018","article-title":"Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy","volume":"46","author":"Aljabar","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0015","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.biopsych.2010.09.044","article-title":"Hippocampal volume differences in Gulf War Veterans with Current Versus Lifetime Posttraumatic stress Disorder Symptoms","volume":"69","author":"Apfel","year":"2011","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.nicl.2018.10.019_bb0020","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1016\/j.neuroimage.2005.02.018","article-title":"Unified segmentation","volume":"26","author":"Ashburner","year":"2005","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0025","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1177\/096228029900800204","article-title":"Measuring agreement in method comparison studies","volume":"8","author":"Bland","year":"1999","journal-title":"Stat. Methods Med. Res."},{"key":"10.1016\/j.nicl.2018.10.019_bb0030","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.jalz.2014.02.009","article-title":"Delphi definition of the EADC-ADNI Harmonized Protocol for hippocampal segmentation on magnetic resonance","volume":"11","author":"Boccardi","year":"2015","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.nicl.2018.10.019_bb0035","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1111\/ijs.12301","article-title":"Charting cognitive and volumetric trajectories after stroke: protocol for the Cognition and Neocortical volume after Stroke (CANVAS) study","volume":"9","author":"Brodtmann","year":"2014","journal-title":"Int. J. Stroke"},{"key":"10.1016\/j.nicl.2018.10.019_bb0040","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0387-7604(99)00022-4","article-title":"MRI-based brain volumetrics: emergence of a developmental brain science","volume":"21","author":"Caviness","year":"1999","journal-title":"Brain and Development"},{"key":"10.1016\/j.nicl.2018.10.019_bb0045","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1007\/s11682-015-9474-5","article-title":"A majority rule approach for region-of-interest-guided streamline fiber tractography","volume":"10","author":"Colon-Perez","year":"2016","journal-title":"Brain Imaging Behav"},{"key":"10.1016\/j.nicl.2018.10.019_bb0050","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.pscychresns.2016.04.006","article-title":"Reproducibility of hippocampal atrophy rates measured with manual, FreeSurfer, AdaBoost, FSL\/FIRST and the MAPS-HBSI methods in Alzheimer's disease","volume":"252","author":"Cover","year":"2016","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.nicl.2018.10.019_bb0055","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/nimg.1998.0395","article-title":"Cortical surface-based analysis. I. Segmentation and surface reconstruction","volume":"9","author":"Dale","year":"1999","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb9000","series-title":"Applied Statistics: Analysis of Variance and Regression","author":"Dunn","year":"1974"},{"key":"10.1016\/j.nicl.2018.10.019_bb0060","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D Slicer as an image computing platform for the Quantitative Imaging Network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.nicl.2018.10.019_bb0065","doi-asserted-by":"crossref","first-page":"1626","DOI":"10.1212\/WNL.55.11.1626","article-title":"Hippocampal and cortical atrophy predict dementia in subcortical ischemic vascular disease","volume":"55","author":"Fein","year":"2000","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2018.10.019_bb0070","series-title":"Proceedings of the National Academy of Sciences of the United States of America","first-page":"11050","article-title":"Measuring the thickness of the human cerebral cortex from magnetic resonance images","volume":"Vol. 97","author":"Fischl","year":"2000"},{"key":"10.1016\/j.nicl.2018.10.019_bb0075","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/42.906426","article-title":"Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex","volume":"20","author":"Fischl","year":"2001","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.nicl.2018.10.019_bb0080","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","article-title":"Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain","volume":"33","author":"Fischl","year":"2002","journal-title":"Neuron"},{"issue":"Suppl. 1","key":"10.1016\/j.nicl.2018.10.019_bb0085","doi-asserted-by":"crossref","first-page":"S69","DOI":"10.1016\/j.neuroimage.2004.07.016","article-title":"Sequence-independent segmentation of magnetic resonance images","volume":"23","author":"Fischl","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0090","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1093\/cercor\/bhg087","article-title":"Automatically parcellating the human cerebral cortex","volume":"14","author":"Fischl","year":"2004","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2018.10.019_bb0095","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.jalz.2014.05.1756","article-title":"The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: evidence of validity","volume":"11","author":"Frisoni","year":"2015","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.nicl.2018.10.019_bb0100","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1139\/jpn.0636","article-title":"Reduced hippocampal volume correlates with executive dysfunctioning in major depression","volume":"31","author":"Frodl","year":"2006","journal-title":"J. Psychiatry Neurosci."},{"key":"10.1016\/j.nicl.2018.10.019_bb0105","series-title":"CAT - a Computational Anatomy Toolbox for the Analysis of Structural MRI Data","author":"Gaser","year":"2016"},{"key":"10.1016\/j.nicl.2018.10.019_bb0110","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1161\/STROKEAHA.111.636498","article-title":"Hippocampal neuronal atrophy and cognitive function in delayed poststroke and aging-related dementias","volume":"43","author":"Gemmell","year":"2012","journal-title":"Stroke"},{"key":"10.1016\/j.nicl.2018.10.019_bb0115","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1038\/sj.mp.4001579","article-title":"MR-based in vivo hippocampal volumetrics: 2. Findings in neuropsychiatric disorders","volume":"10","author":"Geuze","year":"2005","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.nicl.2018.10.019_bb0120","doi-asserted-by":"crossref","first-page":"141","DOI":"10.11613\/BM.2015.015","article-title":"Understanding Bland Altman analysis","volume":"25","author":"Giavarina","year":"2015","journal-title":"Biochem Med (Zagreb)"},{"key":"10.1016\/j.nicl.2018.10.019_bb0125","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.nicl.2017.05.003","article-title":"Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation","volume":"15","author":"Gonzalez-Villa","year":"2017","journal-title":"Neuroimage Clin"},{"key":"10.1016\/j.nicl.2018.10.019_bb0130","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1016\/j.neuroimage.2007.11.034","article-title":"Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest","volume":"40","author":"Gousias","year":"2008","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0135","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.neuroimage.2006.02.051","article-title":"Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer","volume":"32","author":"Han","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0140","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.neuroimage.2006.05.061","article-title":"Automatic anatomical brain MRI segmentation combining label propagation and decision fusion","volume":"33","author":"Heckemann","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0145","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1159\/000092923","article-title":"Poststroke Dementia","volume":"22","author":"H\u00e9non","year":"2006","journal-title":"Cerebrovasc. Dis."},{"key":"10.1016\/j.nicl.2018.10.019_bb0150","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.neuroimage.2015.04.042","article-title":"A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI","volume":"115","author":"Iglesias","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0155","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S1361-8415(01)00036-6","article-title":"A global optimisation method for robust affine registration of brain images","volume":"5","author":"Jenkinson","year":"2001","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.nicl.2018.10.019_bb0160","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1006\/nimg.2002.1132","article-title":"Improved optimization for the robust and accurate linear registration and motion correction of brain images","volume":"17","author":"Jenkinson","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0165","series-title":"The Problem of $m$ Rankings","first-page":"275","author":"Kendall","year":"1939"},{"key":"10.1016\/j.nicl.2018.10.019_bb0170","doi-asserted-by":"crossref","first-page":"3178","DOI":"10.1016\/j.neuroimage.2011.11.040","article-title":"Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities","volume":"59","author":"Kim","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0175","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/1471-2342-5-7","article-title":"Mindboggle: Automated brain labeling with multiple atlases","volume":"5","author":"Klein","year":"2005","journal-title":"BMC Med. Imaging"},{"key":"10.1016\/j.nicl.2018.10.019_bb0180","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1161\/STROKEAHA.111.000536","article-title":"Cognitive decline after stroke: relation to inflammatory biomarkers and hippocampal volume","volume":"44","author":"Kliper","year":"2013","journal-title":"Stroke"},{"key":"10.1016\/j.nicl.2018.10.019_bb0185","doi-asserted-by":"crossref","first-page":"255","DOI":"10.2307\/2532051","article-title":"A concordance correlation coefficient to evaluate reproducibility","volume":"45","author":"Lin","year":"1989","journal-title":"Biometrics"},{"key":"10.1016\/j.nicl.2018.10.019_bb0190","doi-asserted-by":"crossref","first-page":"752","DOI":"10.3174\/ajnr.A3308","article-title":"MR Imaging of Hippocampal Asymmetry at 3T in a Multiethnic, Population-based Sample: results from the Dallas Heart Study","volume":"34","author":"Lucarelli","year":"2013","journal-title":"Am. J. Neuroradiol."},{"key":"10.1016\/j.nicl.2018.10.019_bb0195","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1007\/s10044-015-0492-0","article-title":"Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm","volume":"19","author":"Maglietta","year":"2016","journal-title":"Pattern. Anal. Applic."},{"key":"10.1016\/j.nicl.2018.10.019_bb0200","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0145118","article-title":"Classifiers for Ischemic Stroke Lesion Segmentation: a Comparison Study","volume":"10","author":"Maier","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2018.10.019_bb0205","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1080\/01621459.1951.10500769","article-title":"The Kolmogorov-Smirnov test for goodness of fit","volume":"46","author":"Massey","year":"1951","journal-title":"J. Am. Stat. Assoc."},{"key":"10.1016\/j.nicl.2018.10.019_bb0210","doi-asserted-by":"crossref","unstructured":"M Meisenzahl, Eva, Doerthe Seifert, Ronald Bottlender, Stefan Teipel, Thomas Zetzsche, Markus J\u00e4ger, Nikolaos Koutsouleris, Gisela Schmitt, Johanna Scheuerecker, Bernhard Burgermeister, Harald Hampel, Tobias Rupprecht, Christine Born, Maximilian Reiser, Hans-J\u00fcrgen M\u00f6ller, and Thomas Frodl. 2009. Differences in hippocampal volume between major depression and schizophrenia: A comparative neuroimaging study.","DOI":"10.1007\/s00406-009-0023-3"},{"key":"10.1016\/j.nicl.2018.10.019_bb0215","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1007\/s00276-017-1843-x","article-title":"The hippocampus: detailed assessment of normative two-dimensional measurements, signal intensity, and subfield conspicuity on routine 3T T2-weighted sequences","volume":"39","author":"Middlebrooks","year":"2017","journal-title":"Surg. Radiol. Anat."},{"key":"10.1016\/j.nicl.2018.10.019_bb0220","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1038\/nrneurol.2017.16","article-title":"Early-onset and delayed-onset poststroke dementia [mdash] revisiting the mechanisms","volume":"13","author":"Mok","year":"2017","journal-title":"Nat. Rev. Neurol."},{"key":"10.1016\/j.nicl.2018.10.019_bb0225","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1016\/j.neuroimage.2008.12.033","article-title":"A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes","volume":"45","author":"Morey","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0230","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.neuroimage.2008.07.003","article-title":"Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls","volume":"43","author":"Morra","year":"2008","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0235","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/TMI.2009.2021941","article-title":"Comparison of AdaBoost and support vector machines for detecting Alzheimer's disease through automated hippocampal segmentation","volume":"29","author":"Morra","year":"2010","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.nicl.2018.10.019_bb0240","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.neuroimage.2014.01.058","article-title":"Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST","volume":"92","author":"Mulder","year":"2014","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0245","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1002\/1098-1063(2000)10:6<752::AID-HIPO1012>3.0.CO;2-Y","article-title":"A new method for the in vivo volumetric measurement of the human hippocampus with high neuroanatomical accuracy","volume":"10","author":"Pantel","year":"2000","journal-title":"Hippocampus"},{"key":"10.1016\/j.nicl.2018.10.019_bb0250","doi-asserted-by":"crossref","first-page":"2586","DOI":"10.1111\/j.1528-1167.2009.02243.x","article-title":"Hippocampal volume assessment in temporal lobe epilepsy: how good is automated segmentation?","volume":"50","author":"Pardoe","year":"2009","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2018.10.019_bb0255","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1016\/j.neuroimage.2011.02.046","article-title":"A Bayesian model of shape and appearance for subcortical brain segmentation","volume":"56","author":"Patenaude","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0260","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"},{"key":"10.1016\/j.nicl.2018.10.019_bb0265","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.dadm.2016.11.007","article-title":"A comparison of measurement methods of hippocampal atrophy rate for predicting Alzheimer's dementia in the Aberdeen Birth Cohort of 1936","volume":"6","author":"Rana","year":"2017","journal-title":"Alzheimers Dement (Amst)"},{"key":"10.1016\/j.nicl.2018.10.019_bb0270","first-page":"175","article-title":"Brain investigation and brain conceptualization","volume":"28","author":"Redolfi","year":"2013","journal-title":"Funct. Neurol."},{"key":"10.1016\/j.nicl.2018.10.019_bb0275","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1016\/j.neuroimage.2010.07.020","article-title":"Highly accurate inverse consistent registration: a robust approach","volume":"53","author":"Reuter","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0280","doi-asserted-by":"crossref","first-page":"1402","DOI":"10.1016\/j.neuroimage.2012.02.084","article-title":"Within-subject template estimation for unbiased longitudinal image analysis","volume":"61","author":"Reuter","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0285","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1136\/jnnp.55.10.967","article-title":"Atrophy of medial temporal lobes on MRI in \u201cprobable\u201d: Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates","volume":"55","author":"Scheltens","year":"1992","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"10.1016\/j.nicl.2018.10.019_bb0290","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1055\/s-0033-1335445","article-title":"Interobserver Agreement in MR enterography for diagnostic assessment in patients with Crohn's Disease","volume":"184","author":"Schleder","year":"2013","journal-title":"Rofo"},{"key":"10.1016\/j.nicl.2018.10.019_bb0295","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.neuroimage.2004.03.032","article-title":"A hybrid approach to the skull stripping problem in MRI","volume":"22","author":"Segonne","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0300","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1109\/TMI.2006.887364","article-title":"Geometrically accurate topology-correction of cortical surfaces using nonseparating loops","volume":"26","author":"Segonne","year":"2007","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.nicl.2018.10.019_bb0305","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1016\/S1474-4422(07)70291-0","article-title":"Lifetime risk of stroke and dementia: current concepts, and estimates from the Framingham Study","volume":"6","author":"Seshadri","year":"2007","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.nicl.2018.10.019_bb0310","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1016\/j.neuroimage.2007.09.031","article-title":"Construction of a 3D probabilistic atlas of human cortical structures","volume":"39","author":"Shattuck","year":"2008","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0315","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1037\/0033-2909.86.2.420","article-title":"Intraclass correlations: uses in assessing rater reliability","volume":"86","author":"Shrout","year":"1979","journal-title":"Psychol. Bull."},{"key":"10.1016\/j.nicl.2018.10.019_bb0320","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"},{"key":"10.1016\/j.nicl.2018.10.019_bb0330","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/S1474-4422(07)70031-5","article-title":"Preventing stroke: saving lives around the world","volume":"6","author":"Strong","year":"2007","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.nicl.2018.10.019_bb0335","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.neuroimage.2004.05.007","article-title":"Fast and robust parameter estimation for statistical partial volume models in brain MRI","volume":"23","author":"Tohka","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.10.019_bb0340","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1109\/TPAMI.2012.143","article-title":"Multi-Atlas Segmentation with Joint Label Fusion","volume":"35","author":"Wang","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.nicl.2018.10.019_bb0345","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1212\/WNL.0000000000004086","article-title":"Structural MRI markers of brain aging early after ischemic stroke","volume":"89","author":"Werden","year":"2017","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2018.10.019_bb0350","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1016\/j.pnpbp.2010.06.016","article-title":"Hippocampal volume deficits associated with exposure to psychological trauma and posttraumatic stress disorder in adults: a meta-analysis","volume":"34","author":"Woon","year":"2010","journal-title":"Prog. Neuro-Psychopharmacol. Biol. Psychiatry"}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158218303292?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158218303292?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:13:55Z","timestamp":1761970435000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158218303292"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":70,"alternative-id":["S2213158218303292"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2018.10.019","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2018.10.019","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101581"}}