{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T14:28:19Z","timestamp":1773325699402,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Institute of Information and Communications Technology Planning and Evaluation"},{"name":"Korea government","award":["2017-0-00451"],"award-info":[{"award-number":["2017-0-00451"]}]},{"name":"Korea government","award":["2017-0-01779"],"award-info":[{"award-number":["2017-0-01779"]}]},{"name":"German Ministry for Education and Research","award":["01IS14013A-E"],"award-info":[{"award-number":["01IS14013A-E"]}]},{"name":"German Ministry for Education and Research","award":["01GQ1115"],"award-info":[{"award-number":["01GQ1115"]}]},{"name":"German Ministry for Education and Research","award":["01GQ0850"],"award-info":[{"award-number":["01GQ0850"]}]},{"name":"German Ministry for Education and Research","award":["01IS18025\u00a0A"],"award-info":[{"award-number":["01IS18025\u00a0A"]}]},{"name":"German Ministry for Education and Research","award":["01IS18037\u00a0A"],"award-info":[{"award-number":["01IS18037\u00a0A"]}]},{"name":"DFG","award":["EXC 2046\/1"],"award-info":[{"award-number":["EXC 2046\/1"]}]},{"name":"DFG","award":["390685689"],"award-info":[{"award-number":["390685689"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/tbme.2020.2983539","type":"journal-article","created":{"date-parts":[[2020,4,14]],"date-time":"2020-04-14T16:57:02Z","timestamp":1586883422000},"page":"3317-3326","source":"Crossref","is-referenced-by-count":34,"title":["Mammography Image Quality Assurance Using Deep Learning"],"prefix":"10.1109","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0308-4548","authenticated-orcid":false,"given":"Tobias","family":"Kretz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Klaus-Robert","family":"Mueller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tobias","family":"Schaeffter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clemens","family":"Elster","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1992.227182"},{"key":"ref38","year":"2019","journal-title":"Deep Learning Toolbox version 12 1 (R2019a)"},{"key":"ref33","first-page":"214","article-title":"Deep convolutional neural network based regression approach for estimation of remaining useful life","author":"babu","year":"0","journal-title":"Proc Int Conf Database Syst Adv Appl"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_43"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2760518"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.224"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2008070"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-1904-8_8"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1118\/1.1862097"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2869989"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2877577"},{"key":"ref40","first-page":"215","article-title":"An incremental learning algorithm that optimizes network size and sample size in one trial","volume":"1","author":"zhang","year":"0","journal-title":"Proc IEEE Int Conf Neural Netw"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2889512"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3781951"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.semcancer.2018.07.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.12.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.07.007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2235592100"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-08987-4"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/jicru_ndp029","article-title":"ICRU Report No. 82: Mammography-assessment of image quality","volume":"9","year":"2009","journal-title":"J ICRU"},{"key":"ref6","first-page":"155","article-title":"Determination of contrast-detail curves of mammography systems by automated image analysis","volume":"96","author":"karssemeijer","year":"1996","journal-title":"Digital Mammgraphy"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2019.05.008"},{"key":"ref5","author":"amendoeira","year":"2006","journal-title":"European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.13.11812"},{"key":"ref7","author":"perry","year":"2013","journal-title":"European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.7326\/M15-2886"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2016.03.004"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(02)08020-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref22","first-page":"1803","article-title":"How to explain individual classification decisions","volume":"11","author":"baehrens","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref21","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2001.938474"},{"key":"ref23","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"2013"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.318"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2016.10.008"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/9264772\/09067050.pdf?arnumber=9067050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:49:54Z","timestamp":1641988194000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9067050\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":43,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2020.2983539","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12]]}}}