{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:34:03Z","timestamp":1787013243808,"version":"3.56.0"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 CA214981"],"award-info":[{"award-number":["R01 CA214981"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/tmi.2021.3066896","type":"journal-article","created":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T15:58:41Z","timestamp":1615996721000},"page":"1805-1816","source":"Crossref","is-referenced-by-count":36,"title":["Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9129-0060","authenticated-orcid":false,"given":"Mingjie","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9998-3315","authenticated-orcid":false,"given":"Jeffrey A.","family":"Fessler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7777-9006","authenticated-orcid":false,"given":"Heang-Ping","family":"Chan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1117\/12.2549361"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2858752"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2708987"},{"key":"ref31","article-title":"Improved training of wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"arXiv 1704 00028"},{"key":"ref30","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"arXiv 1701 07875"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2785879"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0057-9"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832217"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13415"},{"key":"ref28","article-title":"Generative adversarial networks","author":"goodfellow","year":"2014","journal-title":"arXiv 1406 2661"},{"key":"ref27","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1118\/1.4770279"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1118\/1.3120285"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/12.912807"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1118\/1.4903283"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07887-8_73"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1515\/9783110524116"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.11.001237"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/29\/7\/007"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/21\/8457"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2629286"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1137\/16M1102884"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.15132091"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1118\/1.3560428"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1118\/1.2988161"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.14.002420"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2732824"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2018.5474"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1118\/1.4928139"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1118\/1.3505851"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.713663"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70538-3_86"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1118\/1.3232211"},{"key":"ref16","article-title":"Digital breast tomosynthesis reconstruction using spatially weighted non-convex regularization","volume":"9783","author":"zheng","year":"2016","journal-title":"Proc SPIE"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098497"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2217\/iim.12.13"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1097\/RTI.0000000000000122"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/59\/19\/5883"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14132722"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.2293125"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70538-3_85"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2089694"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1118\/1.2237543"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1117\/12.348620"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1118\/1.4928603"},{"key":"ref46","year":"2019","journal-title":"Technical Evaluation of GE Healthcare Senographe Pristina Digital Breast Tomosynthesis System"},{"key":"ref45","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"arXiv 1411 1792"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2870343"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12092"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1117\/12.710713"},{"key":"ref41","article-title":"A new, open-source, multi-modality digital breast phantom","volume":"9783","author":"graff","year":"2016","journal-title":"Proc SPIE"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref43","article-title":"CatSim manual version 6.0","author":"de man","year":"2015"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9469008\/09380534.pdf?arnumber=9380534","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T10:49:10Z","timestamp":1652179750000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9380534\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":59,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2021.3066896","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}