{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T04:48:29Z","timestamp":1771562909028,"version":"3.50.1"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T00:00:00Z","timestamp":1599436800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003958","name":"Stichting voor de Technische Wetenschappen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003958","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Image Analysis"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1016\/j.media.2020.101810","type":"journal-article","created":{"date-parts":[[2020,9,6]],"date-time":"2020-09-06T01:10:20Z","timestamp":1599354620000},"page":"101810","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":24,"special_numbering":"C","title":["Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning"],"prefix":"10.1016","volume":"66","author":[{"given":"Midas","family":"Meijs","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5921-639X","authenticated-orcid":false,"given":"Frederick J.A.","family":"Meijer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathias","family":"Prokop","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bram van","family":"Ginneken","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rashindra","family":"Manniesing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.media.2020.101810_bib0001","doi-asserted-by":"crossref","unstructured":"Albers, G.\u00a0W., Marks, M.\u00a0P., Kemp, S., Christensen, S., Tsai, J.\u00a0P., Ortega-Gutierrez, S., McTaggart, R.\u00a0A., Torbey, M.\u00a0T., Kim-Tenser, M., Leslie-Mazwi, T., Sarraj, A., Kasner, S.\u00a0E., Ansari, S.\u00a0A., Yeatts, S.\u00a0D., Hamilton, S., Mlynash, M., Heit, J.\u00a0J., Zaharchuk, G., Kim, S., Carrozzella, J., Palesch, Y.\u00a0Y., Demchuk, A.\u00a0M., Bammer, R., Lavori, P.\u00a0W., Broderick, J.\u00a0P., Lansberg, M.\u00a0G., 2018. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging.","DOI":"10.1056\/NEJMoa1713973"},{"issue":"2","key":"10.1016\/j.media.2020.101810_bib0002","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.neurad.2018.03.003","article-title":"Brain CT perfusion improves intracranial vessel occlusion detection on CT angiography","volume":"46","author":"Becks","year":"2019","journal-title":"J. Neuroradiol."},{"issue":"1","key":"10.1016\/j.media.2020.101810_bib0003","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1056\/NEJMoa1411587","article-title":"A randomized trial of intraarterial treatment for acute ischemic stroke","volume":"372","author":"Berkhemer","year":"2015","journal-title":"New Engl. J. Med."},{"issue":"11","key":"10.1016\/j.media.2020.101810_bib0004","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1016\/S1474-4422(16)30177-6","article-title":"Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (thrace): a randomised controlled trial","volume":"15","author":"Bracard","year":"2016","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.media.2020.101810_bib0005","doi-asserted-by":"crossref","unstructured":"Campbell, B. C. V., Mitchell, P. J., Kleinig, T. J., Dewey, H. M., Churilov, L., Yassi, N., Yan, B., Dowling, R. J., Parsons, M. W., Oxley, T. J., Wu, T. Y., Brooks, M., Simpson, M. A., Miteff, F., Levi, C. R., Krause, M., Harrington, T. J., Faulder, K. C., Steinfort, B. S., Priglinger, M., Ang, T., Scroop, R., Barber, P. A., McGuinness, B., Wijeratne, T., Phan, T. G., Chong, W., Chandra, R. V., Bladin, C. F., Badve, M., Rice, H., de Villiers, L., Ma, H., Desmond, P. M., Donnan, G. A., Davis, S. M.,, E. -I. I., 2015. Endovascular therapy for ischemic stroke with perfusion-imaging selection 372, 1009\u20131018. 10.1056\/NEJMoa1414792.","DOI":"10.1056\/NEJMoa1414792"},{"issue":"Suppl_1","key":"10.1016\/j.media.2020.101810_sbref0004","doi-asserted-by":"crossref","DOI":"10.1161\/str.50.suppl_1.WMP16","article-title":"Abstract wmp16: Artificial intelligence detection of cerebrovascular large vessel occlusion-nine month, 650 patient evaluation of the diagnostic accuracy and performance of the viz. ai lvo algorithm","volume":"50","author":"Chatterjee","year":"2019","journal-title":"Stroke"},{"key":"10.1016\/j.media.2020.101810_bib0007","first-page":"2199","article-title":"Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer","volume":"318","author":"Ehteshami Bejnordi","year":"2017"},{"issue":"7639","key":"10.1016\/j.media.2020.101810_bib0008","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"Esteva","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.media.2020.101810_bib0009","first-page":"1019","article-title":"Randomized assessment of rapid endovascular treatment of ischemic stroke","volume":"372","author":"Goyal","year":"2015"},{"key":"10.1016\/j.media.2020.101810_bib0010","doi-asserted-by":"crossref","unstructured":"Goyal, M., Menon, B. K., Derdeyn, C. P., 2013. Perfusion imaging in acute ischemic stroke: Let us improve the science before changing clinical practice 266, 16\u201321. 10.1148\/radiol.12112134.","DOI":"10.1148\/radiol.12112134"},{"key":"10.1016\/j.media.2020.101810_bib0011","first-page":"2402","article-title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.","volume":"316","author":"Gulshan","year":"2016"},{"issue":"24","key":"10.1016\/j.media.2020.101810_bib0012","first-page":"2296","article-title":"Thrombectomy within 8 hours after symptom onset in ischemic stroke.","volume":"372","author":"Jovin","year":"2015"},{"key":"10.1016\/j.media.2020.101810_bib0013","article-title":"Adam: A method for stochastic optimization","volume":"abs\/1412.6980","author":"Kingma","year":"2014","journal-title":"CoRR"},{"key":"10.1016\/j.media.2020.101810_sbref0011","first-page":"1026","article-title":"4d-CTA in neurovascular disease: a review","volume":"36","author":"Kortman","year":"2015"},{"key":"10.1016\/j.media.2020.101810_bib0015","first-page":"201","article-title":"Accuracy and reliability assessment of CT and MR perfusion analysis software using a digital phantom","volume":"267","author":"Kudo","year":"2013"},{"issue":"2","key":"10.1016\/j.media.2020.101810_bib0016","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1148\/radiol.2017162326","article-title":"Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks","volume":"284","author":"Lakhani","year":"2017","journal-title":"Radiology"},{"key":"10.1016\/j.media.2020.101810_bib0017","series-title":"BIOIMAGING","first-page":"24","article-title":"Thrombus detection in ct brain scans using a convolutional neural network","author":"Lisowska","year":"2017"},{"key":"10.1016\/j.media.2020.101810_bib0018","first-page":"60","article-title":"A survey on deep learning in medical image analysis","volume":"42","author":"Litjens","year":"2017"},{"issue":"19","key":"10.1016\/j.media.2020.101810_bib0019","doi-asserted-by":"crossref","first-page":"1795","DOI":"10.1056\/NEJMoa1813046","article-title":"Thrombolysis guided by perfusion imaging up to 9 hours after onset of stroke","volume":"380","author":"Ma","year":"2019","journal-title":"New Engl. J. Med."},{"key":"10.1016\/j.media.2020.101810_bib0020","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s13244-019-0685-y","article-title":"Ultra-high-resolution subtraction CT angiography in the follow-up of treated intracranial aneurysms","volume":"10","author":"Meijer","year":"2019","journal-title":"Insight. Imag."},{"key":"10.1016\/j.media.2020.101810_bib0021","article-title":"Robust segmentation of the full cerebral vasculature in 4D CT images of suspected stroke patients","volume":"7","author":"Meijs","year":"2017"},{"key":"10.1016\/j.media.2020.101810_bib0022","series-title":"Fast, robust and accurate segmentation of the complete cerebral vasculature in 4D-CTA using deep learning","author":"Meijs","year":"2018"},{"key":"10.1016\/j.media.2020.101810_bib0023","first-page":"11","article-title":"Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct.","volume":"378","author":"Nogueira","year":"2018"},{"key":"10.1016\/j.media.2020.101810_bib0024","first-page":"216","article-title":"Robust cranial cavity segmentation in ct and ct perfusion images of trauma and suspected stroke patients","volume":"36","author":"Patel","year":"2017"},{"issue":"3","key":"10.1016\/j.media.2020.101810_bib0025","doi-asserted-by":"crossref","first-page":"e46","DOI":"10.1161\/STR.0000000000000158","article-title":"2018 guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the american heart association\/american stroke association","volume":"49","author":"Powers","year":"2018","journal-title":"Stroke"},{"issue":"7","key":"10.1016\/j.media.2020.101810_bib0026","doi-asserted-by":"crossref","first-page":"e101985","DOI":"10.1371\/journal.pone.0101985","article-title":"Development and validation of intracranial thrombus segmentation on ct angiography in patients with acute ischemic stroke","volume":"9","author":"Santos","year":"2014","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.media.2020.101810_bib0027","doi-asserted-by":"crossref","first-page":"e0145641","DOI":"10.1371\/journal.pone.0145641","article-title":"Automated entire thrombus density measurements for robust and comprehensive thrombus characterization in patients with acute ischemic stroke","volume":"11","author":"Santos","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.media.2020.101810_bib0028","doi-asserted-by":"crossref","unstructured":"Saver, J. L., Goyal, M., Bonafe, A., Diener, H.-C., Levy, E. I., Pereira, V. M., Albers, G. W., Cognard, C., Cohen, D. J., Hacke, W., Jansen, O., Jovin, T. G., Mattle, H. P., Nogueira, R. G., Siddiqui, A. H., Yavagal, D. R., Baxter, B. W., Devlin, T. G., Lopes, D. K., Reddy, V. K., de Rochemont, R. d. M., Singer, O. C., Jahan, R.,, S. P. I., 2015. Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke.","DOI":"10.1056\/NEJMoa1415061"},{"issue":"1","key":"10.1016\/j.media.2020.101810_bib0029","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1017\/cjn.2015.349","article-title":"CT perfusion in acute stroke predicts final infarct volume-inter-observer study","volume":"43","author":"Shankar","year":"2016","journal-title":"Canad. J. Neurologic. Sci."},{"key":"10.1016\/j.media.2020.101810_bib0030","series-title":"Deep learning in emergent large vessel occlusion detection using maximum intensity projections via CT angiography","author":"Stib","year":"2018"}],"container-title":["Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841520301742?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841520301742?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T18:39:34Z","timestamp":1761244774000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1361841520301742"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":30,"alternative-id":["S1361841520301742"],"URL":"https:\/\/doi.org\/10.1016\/j.media.2020.101810","relation":{},"ISSN":["1361-8415"],"issn-type":[{"value":"1361-8415","type":"print"}],"subject":[],"published":{"date-parts":[[2020,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning","name":"articletitle","label":"Article Title"},{"value":"Medical Image Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.media.2020.101810","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"101810"}}