{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T05:20:20Z","timestamp":1768454420372,"version":"3.49.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["R01-EB026574"],"award-info":[{"award-number":["R01-EB026574"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institute of Health","doi-asserted-by":"publisher","award":["5T32GM007171-44"],"award-info":[{"award-number":["5T32GM007171-44"]}],"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":[[2020,6]]},"DOI":"10.1109\/tmi.2020.2970867","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T20:49:25Z","timestamp":1580503765000},"page":"2277-2286","source":"Crossref","is-referenced-by-count":34,"title":["MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1670-4179","authenticated-orcid":false,"given":"Ouwen","family":"Huang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9533-318X","authenticated-orcid":false,"given":"Will","family":"Long","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4080-2310","authenticated-orcid":false,"given":"Nick","family":"Bottenus","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6722-4605","authenticated-orcid":false,"given":"Marcelo","family":"Lerendegui","sequence":"additional","affiliation":[]},{"given":"Gregg E.","family":"Trahey","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4872-2902","authenticated-orcid":false,"given":"Sina","family":"Farsiu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8995-0050","authenticated-orcid":false,"given":"Mark L.","family":"Palmeri","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759216"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2019.8692835"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref32","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"arXiv 1511 06434"},{"key":"ref31","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref30","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"brock","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2019.2903795"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2018.8579877"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2018.8580183"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48308-5_61"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.156"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2009.1263"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.1996.584398"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.312573"},{"key":"ref22","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention—MICCAI"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710815"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70096-0_23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00121"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2015.0520"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref55","article-title":"fastMRI: An open dataset and benchmarks for accelerated MRI","author":"zbontar","year":"2018","journal-title":"arXiv 1811 08839"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref53","first-page":"9605","article-title":"An intriguing failing of convolutional neural networks and the CoordConv solution","author":"liu","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref52","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2015140338"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2011.1957"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2018.8579764"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2017.12.006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2019.2906553"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/8756479309334354"},{"key":"ref15","first-page":"1","article-title":"Contrast ratio dynamic range: A new beamformer performance metric","author":"dei","year":"2017","journal-title":"Proc IEEE Int Ultrason Symp (IUS)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2019.2911267"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2019.2956855"},{"key":"ref18","first-page":"1790","article-title":"Deep convolutional neural network for image deconvolution","author":"xu","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2011.1868"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2371235"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2018.8580195"},{"key":"ref5","article-title":"Exploring nSIGHT Imaging—A totally new architecture for premium ultrasound","author":"thiele","year":"2013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0894-7317(98)70055-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.940266"},{"key":"ref49","article-title":"Diversity-sensitive conditional generative adversarial networks","author":"yang","year":"2019","journal-title":"arXiv 1901 09024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0887-2171(01)90014-9"},{"key":"ref46","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref45","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)ICLR"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref47","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1177\/0161734614547281"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ULTSYM.2018.8580063"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2017.06.024"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9106594\/08977476.pdf?arnumber=8977476","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:58:32Z","timestamp":1651067912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8977476\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":55,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2020.2970867","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}