{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T11:41:19Z","timestamp":1780659679863,"version":"3.54.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000289","name":"Cancer Research UK","doi-asserted-by":"publisher","award":["C23017\/A27935"],"award-info":[{"award-number":["C23017\/A27935"]}],"id":[{"id":"10.13039\/501100000289","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3161954","type":"journal-article","created":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T17:38:44Z","timestamp":1648143524000},"page":"34369-34378","source":"Crossref","is-referenced-by-count":8,"title":["Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5198-5482","authenticated-orcid":false,"given":"Yaozhi","family":"Lu","sequence":"first","affiliation":[{"name":"Centre for Medical Image Computing, University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahab","family":"Aslani","sequence":"additional","affiliation":[{"name":"Centre for Medical Image Computing, University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Emberton","sequence":"additional","affiliation":[{"name":"Division of Surgery and Interventional Science, University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel C.","family":"Alexander","sequence":"additional","affiliation":[{"name":"Centre for Medical Image Computing, University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8054-2293","authenticated-orcid":false,"given":"Joseph","family":"Jacob","sequence":"additional","affiliation":[{"name":"Centre for Medical Image Computing, University College London, London, U.K"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(18)32203-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(20)30925-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10091808"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1056\/nejmoa1102873"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1056\/nejmoa1208962"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","article-title":"Med3D: Transfer learning for 3D medical image analysis","author":"Chen","year":"2019","journal-title":"arXiv:1904.00625"},{"key":"ref8","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013","journal-title":"arXiv:1312.6034"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1037\/e590462011-001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1289\/ehp.1103639"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/12.2512400"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2946066"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.10.5577"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.15142062"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020191621"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2019.7416"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-81554-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101785"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2892409"},{"key":"ref21","article-title":"Striving for simplicity: The all convolutional net","author":"Tobias Springenberg","year":"2014","journal-title":"arXiv:1412.6806"},{"key":"ref22","first-page":"9525","article-title":"Sanity checks for saliency maps","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Adebayo"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-019-6413-7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcmg.2021.01.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1513\/annalsats.201412-591oc"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2013-3819"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-018-4524-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2005.06.034"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.22134"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09740694.pdf?arnumber=9740694","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T19:06:18Z","timestamp":1705518378000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9740694\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3161954","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.01.12.22269152","asserted-by":"object"}]},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}