{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T19:55:15Z","timestamp":1771962915808,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81830058"],"award-info":[{"award-number":["81830058"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012543","name":"Shanghai Science and Technology Development Foundation","doi-asserted-by":"publisher","award":["19ZR1432700"],"award-info":[{"award-number":["19ZR1432700"]}],"id":[{"id":"10.13039\/100012543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012543","name":"Shanghai Science and Technology Development Foundation","doi-asserted-by":"publisher","award":["18010500600"],"award-info":[{"award-number":["18010500600"]}],"id":[{"id":"10.13039\/100012543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012543","name":"Shanghai Science and Technology Development Foundation","doi-asserted-by":"publisher","award":["19411965400"],"award-info":[{"award-number":["19411965400"]}],"id":[{"id":"10.13039\/100012543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","award":["D20031"],"award-info":[{"award-number":["D20031"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Clinical Research Project of Shanghai Municipal Health Commission","award":["201940267"],"award-info":[{"award-number":["201940267"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1109\/jbhi.2021.3093649","type":"journal-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T19:26:46Z","timestamp":1625081206000},"page":"334-344","source":"Crossref","is-referenced-by-count":20,"title":["Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine"],"prefix":"10.1109","volume":"26","author":[{"given":"Bangming","family":"Gong","sequence":"first","affiliation":[]},{"given":"Jing","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Xiangmin","family":"Han","sequence":"additional","affiliation":[]},{"given":"Huan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yuemin","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Liwei","family":"Hu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9548-0411","authenticated-orcid":false,"given":"Jun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Du","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3226-3978","authenticated-orcid":false,"given":"Jun","family":"Shi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/MOP.0000000000000574"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2018-1147"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018172592"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105516"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.03.013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_14"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1097\/01241398-198411000-00015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2019.09.018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.08.039"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2010.938364"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.01.074"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2655720"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.025"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2836965"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.01.031"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.10.002"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.05.010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.09.018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.02.037"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/241"},{"key":"ref26","first-page":"1603","article-title":"Diversity regularized machine","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Yu"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33460-3_27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7496.003.0003"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.01.008"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3073812"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref33","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"70","author":"Finn","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.565"},{"key":"ref35","first-page":"2927","article-title":"Gradient-based meta-learning with learned layerwise metric and subspace","volume-title":"Proc. Int. Conf. Mach. Learn","volume":"80","author":"Lee","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870689"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101562"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00373"},{"issue":"2","key":"ref40","first-page":"1967","article-title":"Deep Boltzmann machines","volume":"5","author":"Salakhutdinov","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2016.12.016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2295755"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1023\/A:I0I0933404324"},{"key":"ref47","first-page":"4579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maate","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_26"},{"key":"ref49","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"Konen","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106854"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9684248\/09468916.pdf?arnumber=9468916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:37:02Z","timestamp":1705016222000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9468916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":50,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2021.3093649","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]}}}