{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T20:59:54Z","timestamp":1775595594859,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001602","name":"Science Foundation Ireland","doi-asserted-by":"publisher","award":["SFI\/12\/RC\/2289_P2,SFI\/15\/SIRG\/3283"],"award-info":[{"award-number":["SFI\/12\/RC\/2289_P2,SFI\/15\/SIRG\/3283"]}],"id":[{"id":"10.13039\/501100001602","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1109\/idsta50958.2020.9264030","type":"proceedings-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T21:50:41Z","timestamp":1606773041000},"page":"149-155","source":"Crossref","is-referenced-by-count":22,"title":["A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset"],"prefix":"10.1109","author":[{"given":"David","family":"Azcona","sequence":"first","affiliation":[]},{"given":"Kevin","family":"McGuinness","sequence":"additional","affiliation":[]},{"given":"Alan F.","family":"Smeaton","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref11","author":"besbes","year":"2019","journal-title":"Automate the diagnosis of knee injuries with deep learning part 2 Building an ACL tear classifier"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14"},{"key":"ref15","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"197","article-title":"Assessing knee OA severity with CNN attention-based end-to-end architectures","volume":"102","author":"g\u00f3rriz","year":"2019","journal-title":"Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002699"},{"key":"ref3","year":"2019","journal-title":"Radiology rounds A closer look at interstitial lung disease"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2018.9020001"},{"key":"ref5","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref8","first-page":"2148","article-title":"Predicting parameters in deep learning","author":"denil","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012450327387"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.115.001593"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17795-9_10"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz339"}],"event":{"name":"2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","location":"Valencia, Spain","start":{"date-parts":[[2020,10,19]]},"end":{"date-parts":[[2020,10,22]]}},"container-title":["2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9263698\/9264028\/09264030.pdf?arnumber=9264030","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:15:22Z","timestamp":1656375322000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9264030\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/idsta50958.2020.9264030","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]}}}