{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T09:06:45Z","timestamp":1772010405138,"version":"3.50.1"},"reference-count":87,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-2043134"],"award-info":[{"award-number":["CCF-2043134"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"Washington University Institute of Clinical and Translational Sciences from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health","doi-asserted-by":"publisher","award":["UL1TR002345"],"award-info":[{"award-number":["UL1TR002345"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tmi.2022.3163018","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T21:00:19Z","timestamp":1648501219000},"page":"2371-2384","source":"Crossref","is-referenced-by-count":12,"title":["Deformation-Compensated Learning for Image Reconstruction Without Ground Truth"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3604-784X","authenticated-orcid":false,"given":"Weijie","family":"Gan","sequence":"first","affiliation":[{"name":"Department of Computer Science &#x0026; Engineering, Washington University in St. Louis, St. Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-9677","authenticated-orcid":false,"given":"Yu","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Computer Science &#x0026; Engineering, Washington University in St. Louis, St. Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4457-0916","authenticated-orcid":false,"given":"Cihat","family":"Eldeniz","sequence":"additional","affiliation":[{"name":"Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1042-4443","authenticated-orcid":false,"given":"Jiaming","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Electrical &#x0026; System Engineering, Washington University in St. Louis, St. Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6459-2269","authenticated-orcid":false,"given":"Hongyu","family":"An","sequence":"additional","affiliation":[{"name":"Department of Neurology, Department of Biomedical Engineering, Mallinckrodt Institute of Radiology, Saint Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6770-3278","authenticated-orcid":false,"given":"Ulugbek S.","family":"Kamilov","sequence":"additional","affiliation":[{"name":"Department of Computer Science &#x0026; Engineering and Electrical &#x0026; Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21391"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2176954"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2165552"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2950640"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2760358"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2739299"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991563"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00273-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3119273"},{"key":"ref12","first-page":"2965","article-title":"Noise2Noise: Learning image restoration without clean data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lehtinen"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2998402"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00223"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098514"},{"key":"ref16","first-page":"6970","article-title":"High-quality self-supervised deep image denoising","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Laine"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000792"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28344"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01163"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00258"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3035154"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759519"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3019647"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_3"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab843e"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.11.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32486-5_4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_29"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref30","article-title":"Deep image reconstruction using unregistered measurements without groundtruth","author":"Gan","year":"2020","journal-title":"arXiv:2009.13986"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref33","first-page":"9","article-title":"Deep ADMM-Net for compressive sensing MRI","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6737048"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/16M1102884"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2599778"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683057"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00177"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2949470"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104374"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299163"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3085534"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28378"},{"key":"ref47","article-title":"Zero-shot self-supervised learning for MRI reconstruction","author":"Yaman","year":"2021","journal-title":"arXiv:2102.07737"},{"key":"ref48","first-page":"524","article-title":"Noise2Self: Blind denoising by self-supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Batson"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2020.00005"},{"key":"ref50","first-page":"11","article-title":"Training deep learning based denoisers without ground truth data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Soltanayev"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00196"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682856"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3084288"},{"key":"ref55","first-page":"1","article-title":"DeepRED: Deep image prior powered by RED","volume-title":"Proc. IEEE Int. Conf. Comput. Vis. Workshops","author":"Mataev"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1117\/12.912190"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85990-1_52"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa6055"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(89)80014-3"},{"key":"ref60","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"2","author":"Jaderberg"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25665"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24440"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22463"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24463"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26274"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1186\/s12968-020-00611-5"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2053212"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2463088"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22368-7_21"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2021.10.004"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28851"},{"key":"ref72","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2007.06.004"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66182-7_27"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000442"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.54294\/uvnhin"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref80","article-title":"OASIS-3: Longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer disease","author":"LaMontagne","year":"2019","journal-title":"MedRxiv"},{"key":"ref81","first-page":"1","article-title":"TorchKbNufft: A high-level, hardware-agnostic non-uniform fast Fourier transform","volume-title":"Proc. ISMRM Workshop Data Sampling Image Reconstruction","author":"Muckley"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24980"},{"issue":"2","key":"ref83","first-page":"147","article-title":"Dynamic contrast-enhanced magnetic resonance imaging: Fundamentals and application to the evaluation of the peripheral perfusion","volume":"4","author":"Gordon","year":"2014","journal-title":"Cardiovascular Diagnosis Therapy"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2519261"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"issue":"2","key":"ref87","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"Freesurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"NeuroImage"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/42\/9872156\/9743932-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9872156\/09743932.pdf?arnumber=9743932","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:23:20Z","timestamp":1705537400000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9743932\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":87,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3163018","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}