{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T08:21:22Z","timestamp":1774945282254,"version":"3.50.1"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004955","name":"sterreichische Forschungsfrderungsgesellschaft","doi-asserted-by":"publisher","award":["879730"],"award-info":[{"award-number":["879730"]}],"id":[{"id":"10.13039\/501100004955","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1109\/tmi.2021.3129068","type":"journal-article","created":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T23:11:40Z","timestamp":1637190700000},"page":"937-950","source":"Crossref","is-referenced-by-count":20,"title":["Multi-Task Fusion for Improving Mammography Screening Data Classification"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2599-2395","authenticated-orcid":false,"given":"Maria","family":"Wimmer","sequence":"first","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9056-5758","authenticated-orcid":false,"given":"Gert","family":"Sluiter","sequence":"additional","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9091-3684","authenticated-orcid":false,"given":"David","family":"Major","sequence":"additional","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1563-7683","authenticated-orcid":false,"given":"Dimitrios","family":"Lenis","sequence":"additional","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2300-2661","authenticated-orcid":false,"given":"Astrid","family":"Berg","sequence":"additional","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5926-9317","authenticated-orcid":false,"given":"Theresa","family":"Neubauer","sequence":"additional","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0362-7998","authenticated-orcid":false,"given":"Katja","family":"Buhler","sequence":"additional","affiliation":[{"name":"VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"World Cancer Report 2020: Cancer Research for Cancer Precention","author":"Wild","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.19.21994"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-22437-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.07.007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180694"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.2513420"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1799-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019182716"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2019.05.012"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07640-9"},{"key":"ref11","article-title":"Interpretable mammographic image classification using case-based reasoning and deep learning","author":"Jade Barnett","year":"2021","journal-title":"arXiv:2107.05605"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.0265"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(20)30003-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018181371"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019182627"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101908"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0942-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3359206"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.semcancer.2020.06.002"},{"key":"ref22","article-title":"ACR BI-RADS mammography","volume-title":"ACR BI-RADS Atlas, Breast Imaging Reporting and Data System","author":"Sickles","year":"2013"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.7326\/M15-2934"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462671"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12683"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2532122"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.4.4.044501"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2751523"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_37"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.12.014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa93d4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41546-8_5"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363518"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2002.806569"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.6.3.031409"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.01.009"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.09.027"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.01.009"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.01.017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103774"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-01174-9"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-48995-4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_20"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_69"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2945514"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2968397"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3050040"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_3"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.05.001"},{"key":"ref51","article-title":"High-resolution breast cancer screening with multi-view deep convolutional neural networks","author":"Geras","year":"2017","journal-title":"arXiv:1703.07047"},{"key":"ref52","first-page":"571","article-title":"Multi-view multi-task learning for improving autonomous mammogram diagnosis","volume-title":"Proc. Mach. Learn. Healthcare","volume":"106","author":"Kyono"},{"key":"ref53","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5318-8_75"},{"key":"ref55","first-page":"212","article-title":"The digital database for screening mammography","volume-title":"Proc. Int. Workshop Digit. Mammography","author":"Heath"},{"key":"ref56","article-title":"Curated breast imaging subset of DDSM [Dataset]","author":"Lee","year":"2016"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.177"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098681"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_31"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref62","volume-title":"Keras","author":"Chollet","year":"2015"},{"key":"ref63","volume-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems","author":"Abadi","year":"2015"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.351"},{"key":"ref65","first-page":"876","article-title":"Averaging weights leads to wider optima and better generalization","volume-title":"Proc. Uncertain. Artif. Intell.","author":"Izmailov"},{"issue":"17","key":"ref66","first-page":"1","article-title":"Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning","volume":"18","author":"Lema\u00eetre","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2007.903514"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.10.026"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017170644"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06186-9"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180547"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djy222"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.17.18708"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9745979\/09618960.pdf?arnumber=9618960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:54:03Z","timestamp":1705020843000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9618960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":73,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2021.3129068","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4]]}}}