{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T20:27:09Z","timestamp":1786998429858,"version":"build-2736575974"},"reference-count":31,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000052","name":"National Institutes of Health Office of the Director","doi-asserted-by":"publisher","award":["S10OD032285"],"award-info":[{"award-number":["S10OD032285"]}],"id":[{"id":"10.13039\/100000052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000052","name":"National Institutes of Health Office of the Director","doi-asserted-by":"publisher","award":["R 56NS126748"],"award-info":[{"award-number":["R 56NS126748"]}],"id":[{"id":"10.13039\/100000052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000052","name":"National Institutes of Health Office of the Director","doi-asserted-by":"publisher","award":["R01NS115845"],"award-info":[{"award-number":["R01NS115845"]}],"id":[{"id":"10.13039\/100000052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","award":["MOP-130269"],"award-info":[{"award-number":["MOP-130269"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","award":["MOP-106651"],"award-info":[{"award-number":["MOP-106651"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100003193","name":"The Foundation of the American Society of Neuroradiology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100003193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001516","name":"National Heart Foundation of New Zealand","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001516","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011975","name":"American Society of Neuroradiology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011975","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000179","name":"Office of the Director","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000179","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000065","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\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["GNT1045617"],"award-info":[{"award-number":["GNT1045617"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["GNT1094974"],"award-info":[{"award-number":["GNT1094974"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["GNT1020526"],"award-info":[{"award-number":["GNT1020526"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Reports"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.ynirp.2026.100344","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T06:06:52Z","timestamp":1776060412000},"page":"100344","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["Estimating white matter hyperintensities volume in individuals with stroke using T1-weighted images"],"prefix":"10.1016","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7215-9585","authenticated-orcid":false,"given":"Mahir H.","family":"Khan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5695-2049","authenticated-orcid":false,"given":"Stuti","family":"Chakraborty","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3624-6996","authenticated-orcid":false,"given":"Jennifer K.","family":"Ferris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2828-4549","authenticated-orcid":false,"given":"Lara A.","family":"Boyd","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0096-434X","authenticated-orcid":false,"given":"Mohamed Salah","family":"Khlif","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9466-2862","authenticated-orcid":false,"given":"Amy","family":"Brodtmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael R.","family":"Borich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1908-5588","authenticated-orcid":false,"given":"James H.","family":"Cole","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven C.","family":"Cramer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niko H.","family":"Fullmer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeanette R.","family":"Gumarang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hosung","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0874-1803","authenticated-orcid":false,"given":"Amisha","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8923-254X","authenticated-orcid":false,"given":"Octavio","family":"Marin-Pardo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan M.","family":"Murphy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily R.","family":"Rosario","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1886-2288","authenticated-orcid":false,"given":"Heidi M.","family":"Schambra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grace C.","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sook-Lei","family":"Liew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ynirp.2026.100344_bib1","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1093\/brain\/awab439","article-title":"Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence","volume":"145","author":"Bonkhoff","year":"2021","journal-title":"Brain"},{"key":"10.1016\/j.ynirp.2026.100344_bib2","doi-asserted-by":"crossref","first-page":"e1364","DOI":"10.1212\/WNL.0000000000200926","article-title":"Association of stroke lesion pattern and white matter hyperintensity burden with stroke severity and outcome","volume":"99","author":"Bonkhoff","year":"2022","journal-title":"Neurology"},{"key":"10.1016\/j.ynirp.2026.100344_bib3","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1177\/1747493017714176","article-title":"Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable","volume":"12","author":"Boyd","year":"2017","journal-title":"Int. J. Stroke Off. J. Int. Stroke Soc"},{"key":"10.1016\/j.ynirp.2026.100344_bib4","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.ynirp.2026.100344_bib5","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1136\/jnnp-2021-326569","article-title":"Rate of, and risk factors for, white matter hyperintensity growth: a systematic review and meta-analysis with implications for clinical trial design","volume":"92","author":"Brown","year":"2021","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"10.1016\/j.ynirp.2026.100344_bib6","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117471","article-title":"A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis","volume":"225","author":"Cerri","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.ynirp.2026.100344_bib7","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1016\/S1474-4422(23)00131-X","article-title":"Neuroimaging standards for research into small vessel disease\u2014advances since 2013","volume":"22","author":"Duering","year":"2023","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.ynirp.2026.100344_bib8","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.0000000000209387","article-title":"Modulation of the association between corticospinal tract damage and outcome after stroke by white matter hyperintensities","volume":"102","author":"Ferris","year":"2024","journal-title":"Neurology"},{"key":"10.1016\/j.ynirp.2026.100344_bib9","doi-asserted-by":"crossref","DOI":"10.3389\/fnimg.2023.1099301","article-title":"Optimizing automated white matter hyperintensity segmentation in individuals with stroke","volume":"2","author":"Ferris","year":"2023","journal-title":"Front. Neuroimaging"},{"key":"10.1016\/j.ynirp.2026.100344_bib30","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.neuroimage.2017.03.024","article-title":"Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults","volume":"170","author":"Griffanti","year":"2018","journal-title":"NeuroImage"},{"key":"10.1016\/j.ynirp.2026.100344_bib10","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.neuroimage.2016.07.018","article-title":"BIANCA (Brain intensity AbNormality classification algorithm): a new tool for automated segmentation of white matter hyperintensities","volume":"141","author":"Griffanti","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.ynirp.2026.100344_bib11","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2021.700616","article-title":"Excessive white matter hyperintensity increases susceptibility to poor functional outcomes after acute ischemic stroke","volume":"12","author":"Hong","year":"2021","journal-title":"Front. Neurol."},{"key":"10.1016\/j.ynirp.2026.100344_bib12","doi-asserted-by":"crossref","DOI":"10.3174\/ajnr.A8734","article-title":"Predicting white matter hyperintensity: leveraging portable magnetic resonance imaging for accessible brain health screening","author":"Johnson","year":"2025","journal-title":"Am. J. Neuroradiol."},{"key":"10.1016\/j.ynirp.2026.100344_bib13","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.1177\/0271678X221101644","article-title":"Global changes in diffusion tensor imaging during acute ischemic stroke and post-stroke cognitive performance","volume":"42","author":"Kern","year":"2022","journal-title":"J. Cerebr. Blood Flow Metabol."},{"key":"10.1016\/j.ynirp.2026.100344_bib14","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2025.1538598","article-title":"Small-vessel-disease-induced white matter damage in occipital lobe epilepsy","volume":"16","author":"Kim","year":"2025","journal-title":"Front. Neurol."},{"key":"10.1016\/j.ynirp.2026.100344_bib15","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J. Chiropract. Med."},{"key":"10.1016\/j.ynirp.2026.100344_bib16","doi-asserted-by":"crossref","first-page":"2556","DOI":"10.1109\/TMI.2019.2905770","article-title":"Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge","volume":"38","author":"Kuijf","year":"2019","journal-title":"IEEE Trans. Med. Imag."},{"key":"10.1016\/j.ynirp.2026.100344_bib17","author":"Laso"},{"key":"10.1016\/j.ynirp.2026.100344_bib18","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1038\/s41597-022-01401-7","article-title":"A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms","volume":"9","author":"Liew","year":"2022","journal-title":"Sci. Data"},{"key":"10.1016\/j.ynirp.2026.100344_bib19","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1002\/hbm.25015","article-title":"The ENIGMA stroke recovery working group: big data neuroimaging to study brain-behavior relationships after stroke","volume":"43","author":"Liew","year":"2022","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.ynirp.2026.100344_bib20","article-title":"A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images","volume":"1","author":"Lo","year":"2023","journal-title":"Front. Neuroimaging"},{"key":"10.1016\/j.ynirp.2026.100344_bib31","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.70138","article-title":"Long-term post-stroke cognition in patients with minor ischemic stroke is related to tract-based disconnection induced by white matter hyperintensities","volume":"46","author":"Lopes","year":"2025","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.ynirp.2026.100344_bib21","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2024.1470441","article-title":"Molecular profiling of frontal and occipital subcortical white matter hyperintensities in Alzheimer's disease","volume":"15","author":"Malla","year":"2025","journal-title":"Front. Neurol."},{"key":"10.1016\/j.ynirp.2026.100344_bib22","doi-asserted-by":"crossref","first-page":"e347","DOI":"10.1161\/CIR.0000000000001209","article-title":"2024 heart disease and stroke statistics: a report of US and global data from the American heart association","volume":"149","author":"Martin","year":"2024","journal-title":"Circulation"},{"key":"10.1016\/j.ynirp.2026.100344_bib23","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1186\/s13195-024-01633-2","article-title":"Neuropathological contributions to grey matter atrophy and white matter hyperintensities in amnestic dementia","volume":"17","author":"Ortega-Cruz","year":"2025","journal-title":"Alzheimers Res. Ther."},{"key":"10.1016\/j.ynirp.2026.100344_bib24","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/j.neuroimage.2010.09.013","article-title":"Lesion explorer: a comprehensive segmentation and parcellation package to obtain regional volumetrics for subcortical hyperintensities and intracranial tissue","volume":"54","author":"Ramirez","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.ynirp.2026.100344_bib25","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.neurobiolaging.2018.03.029","article-title":"Shades of white: diffusion properties of T1- and FLAIR-defined white matter signal abnormalities differ in stages from cognitively normal to dementia","volume":"68","author":"Riphagen","year":"2018","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.ynirp.2026.100344_bib26","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1002\/ana.27156","article-title":"Association that neuroimaging and clinical measures have with change in arm impairment in a phase 3 stroke recovery trial","volume":"97","author":"Schwarz","year":"2025","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.ynirp.2026.100344_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2023.103511","article-title":"Stroke lesion size \u2013 still a useful biomarker for stroke severity and outcome in times of high-dimensional models","volume":"40","author":"Sperber","year":"2023","journal-title":"Neuroimage, Clin."},{"key":"10.1016\/j.ynirp.2026.100344_bib28","article-title":"What are white matter hyperintensities made of?","volume":"4","author":"Wardlaw","year":"2015","journal-title":"J. Am. Heart Assoc. Cardiovasc. Cerebrovasc. Dis."},{"key":"10.1016\/j.ynirp.2026.100344_bib29","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.1457","article-title":"White matter hypointensities and hyperintensities have equivalent correlations with age and CSF \u03b2\u2010amyloid in the nondemented elderly","volume":"9","author":"Wei","year":"2019","journal-title":"Brain Behav"}],"container-title":["NeuroImage: Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666956026000279?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666956026000279?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T19:37:23Z","timestamp":1785267443000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666956026000279"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":31,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["S2666956026000279"],"URL":"https:\/\/doi.org\/10.1016\/j.ynirp.2026.100344","relation":{},"ISSN":["2666-9560"],"issn-type":[{"value":"2666-9560","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Estimating white matter hyperintensities volume in individuals with stroke using T1-weighted images","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Reports","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ynirp.2026.100344","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"100344"}}