{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T14:13:51Z","timestamp":1783606431370,"version":"3.55.0"},"reference-count":5,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jns-journal.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of the Neurological Sciences"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.jns.2026.126062","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T16:31:31Z","timestamp":1781541091000},"page":"126062","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Comment on \u201cExcellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke\u201d"],"prefix":"10.1016","volume":"488","author":[{"given":"S.","family":"Sundararajan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Naveen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.B.","family":"Surendar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.T.","family":"Meyyammai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jns.2026.126062_bb0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.jns.2026.125914","article-title":"Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke","volume":"486","author":"Sakamoto","year":"2026","journal-title":"J. Neurol. Sci."},{"key":"10.1016\/j.jns.2026.126062_bb0010","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2025.1741898","article-title":"Current perspective in acute ischemic stroke: net water uptake and imaging-guided selection as bridges to personalized, tissue-based care","author":"Broocks","year":"2026","journal-title":"Front. Neurol."},{"key":"10.1016\/j.jns.2026.126062_bb0015","doi-asserted-by":"crossref","first-page":"196","DOI":"10.3390\/math14010196","article-title":"A high-breakdown MCD-based robust concordance correlation coefficient","volume":"14","author":"Bulut","year":"2026","journal-title":"Mathematics"},{"key":"10.1016\/j.jns.2026.126062_bb0020","series-title":"An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions","author":"Islam","year":"2026"},{"key":"10.1016\/j.jns.2026.126062_bb0025","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1186\/s41747-025-00638-2","article-title":"Low-field and portable MRI technology: advancements and innovations","volume":"9","author":"Kravchenko","year":"2025","journal-title":"European Radiology Experimental"}],"container-title":["Journal of the Neurological Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022510X26003448?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022510X26003448?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T13:19:14Z","timestamp":1783603154000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0022510X26003448"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":5,"alternative-id":["S0022510X26003448"],"URL":"https:\/\/doi.org\/10.1016\/j.jns.2026.126062","relation":{},"ISSN":["0022-510X"],"issn-type":[{"value":"0022-510X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Comment on \u201cExcellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke\u201d","name":"articletitle","label":"Article Title"},{"value":"Journal of the Neurological Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jns.2026.126062","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"https:\/\/doi.org\/10.1016\/j.jns.2026.126061","name":"associatedlink","label":"CrossRef DOI link to the associated document"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"126062"}}