{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T17:57:52Z","timestamp":1765475872141,"version":"3.48.0"},"reference-count":42,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization"],"published-print":{"date-parts":[[2025,12,31]]},"DOI":"10.1080\/21681163.2025.2583123","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T00:11:06Z","timestamp":1762215066000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence-based discrimination of hydrocephaly in brain CT scan"],"prefix":"10.1080","volume":"13","author":[{"given":"Shirin","family":"Kordnoori","sequence":"first","affiliation":[{"name":"Islamic Azad University","place":["Tehran, Iran"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maliheh","family":"Sabeti","sequence":"additional","affiliation":[{"name":"Islamic Azad University","place":["Tehran, Iran"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yashar","family":"Goorakani","sequence":"additional","affiliation":[{"name":"Shahid Beheshti University of Medical Sciences","place":["Tehran, Iran"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azita","family":"Tavassoli","sequence":"additional","affiliation":[{"name":"Iran University of Medical Sciences","place":["Tehran, Iran"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ehsan","family":"Moradi","sequence":"additional","affiliation":[{"name":"Shahid Beheshti University of Medical Sciences","place":["Tehran, Iran"]},{"name":"Shahid Beheshti University of Medical Sciences","place":["Tehran, Iran"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2025,11,3]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/ase.256"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0081895"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27250-4_25"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/00000658-191910000-00004"},{"key":"e_1_3_3_6_1","unstructured":"Demyanchuk A Pushkina E Russkikh N Shtokalo D Mishinov S. 2019. Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and \u201ctransfer learning\u201d technique. 1909.10473. arXiv https:\/\/arxiv.org\/abs\/1909.10473"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000021229"},{"key":"e_1_3_3_8_1","volume-title":"Pattern classification","author":"Duda RO","year":"2000","unstructured":"Duda RO, Hart PE, Stork DG. 2000. Pattern classification. 2nd ed. Wiley-Interscience.","edition":"2"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.2478\/amcs-2014-0022"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00701-020-04447-x"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1159\/000357329"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-90524-9"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2023.1321964"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mehy.2020.109696"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocn.2020.04.092"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/3059170"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inat.2023.101931"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2000.92.6.0915"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A8372"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A8489"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.3171\/2014.7.PEDS14324"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.3171\/2014.9.PEDS12426"},{"key":"e_1_3_3_23_1","unstructured":"MATLAB. 2021. MATLAB and statistics toolbox release 2021a. Natick (MA): The MathWorks Inc."},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1542\/9781610020473"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2017.04.107"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1159\/000028730"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1227\/01.NEU.0000146206.40375.41"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2016.06.017"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.05.099"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.3171\/2020.6.PEDS20251"},{"key":"e_1_3_3_31_1","first-page":"263","article-title":"Early prediction of hydrocephalus using data mining techniques","author":"Rajiga SV","year":"2022","unstructured":"Rajiga SV, Gunasekaran M. 2022. Early prediction of hydrocephalus using data mining techniques. In: Advances in Computational Intelligence and Communication Technology: Proceedings of CICT 2021. Singapore: Springer Singapore. p. 263\u2013272.","journal-title":"Advances in Computational Intelligence and Communication Technology: Proceedings of CICT 2021"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00701-024-05940-3"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2022.102705"},{"issue":"5","key":"e_1_3_3_34_1","first-page":"5299","article-title":"Novel deep learning approach for the automated diagnosis of normal pressure hydrocephalus","volume":"41","author":"Rudhra B","year":"2021","unstructured":"Rudhra B, Malu G, Sherly E, Mathew R. 2021. Novel deep learning approach for the automated diagnosis of normal pressure hydrocephalus. J Intell Fuzzy Syst. 41(5):5299\u20135307.","journal-title":"J Intell Fuzzy Syst"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inat.2022.101675"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0800"},{"key":"e_1_3_3_37_1","first-page":"1","article-title":"Automated detection of hydrocephalus in pediatric head computed tomography using VGG 16 CNN deep learning architecture and based automated segmentation workflow for ventricular volume estimation","author":"Sekkat H","year":"2025","unstructured":"Sekkat H et al. 2025. Automated detection of hydrocephalus in pediatric head computed tomography using VGG 16 CNN deep learning architecture and based automated segmentation workflow for ventricular volume estimation. J Imag Inf Med. 1\u201318.","journal-title":"J Imag Inf Med"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.3171\/2014.7.PEDS14328"},{"issue":"6","key":"e_1_3_3_39_1","first-page":"1171","article-title":"Diffusion imaging in obstructive hydrocephalus","volume":"24","author":"Ulug AM","year":"2003","unstructured":"Ulug AM et al. 2003. Diffusion imaging in obstructive hydrocephalus. AJNR Am J Neuroradiol. 24(6):1171\u20131176.","journal-title":"AJNR Am J Neuroradiol"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.12.042"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1542\/pir.2015-0134"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103547"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07048-0"}],"container-title":["Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/21681163.2025.2583123","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T17:53:13Z","timestamp":1765475593000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/21681163.2025.2583123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,12,31]]}},"alternative-id":["10.1080\/21681163.2025.2583123"],"URL":"https:\/\/doi.org\/10.1080\/21681163.2025.2583123","relation":{},"ISSN":["2168-1163","2168-1171"],"issn-type":[{"type":"print","value":"2168-1163"},{"type":"electronic","value":"2168-1171"}],"subject":[],"published":{"date-parts":[[2025,11,3]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tciv20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tciv20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2025-02-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2583123"}}