{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T07:32:52Z","timestamp":1768807972033,"version":"3.49.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01EB019961"],"award-info":[{"award-number":["R01EB019961"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01 AG067078"],"award-info":[{"award-number":["R01 AG067078"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["1R01EB031169-01"],"award-info":[{"award-number":["1R01EB031169-01"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MRI instrument","award":["1S10OD025025-01"],"award-info":[{"award-number":["1S10OD025025-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/tmi.2022.3168559","type":"journal-article","created":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T20:16:13Z","timestamp":1650312973000},"page":"2693-2703","source":"Crossref","is-referenced-by-count":19,"title":["Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR)"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7037-9621","authenticated-orcid":false,"given":"Abdul Haseeb","family":"Ahmed","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2729-2491","authenticated-orcid":false,"given":"Qing","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2347-034X","authenticated-orcid":false,"given":"Prashant","family":"Nagpal","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6196-3933","authenticated-orcid":false,"given":"Mathews","family":"Jacob","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/00004424-199409000-00009"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1098-1098(1997)8:6<551::AID-IMA7>3.0.CO;2-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22444"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10611"},{"key":"ref5","first-page":"1","article-title":"k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity","volume-title":"Proc. 13th Annu. Meeting ISMRM","volume":"2420","author":"Lustig"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25665"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2203921"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21757"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2100850"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28235"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25240"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2255133"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24524"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2343953"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2893598"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2723871"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3008329"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26958"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref23","article-title":"Deep subspace learning: Enhancing speed and scalability of deep learning-based reconstruction of dynamic imaging data","volume-title":"Proc. Annu. Meeting ISMRM","volume":"599","author":"Sandino"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102190"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-70551-8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28420"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27706"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9433882"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3084288"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2322815"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25722"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25168"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26537"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2509245"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2090538"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"ref38","article-title":"Understanding disentangling in SS -VAE","author":"Burgess","year":"2018","journal-title":"arXiv:1804.03599"},{"key":"ref39","first-page":"1","article-title":"SS -VAE: Learning basic visual concepts with a constrained variational framework","volume-title":"Proc. ICLR","author":"Higgins"},{"key":"ref40","article-title":"ENSURE: A general approach for unsupervised training of deep image reconstruction algorithms","author":"Aggarwal","year":"2020","journal-title":"arXiv:2010.10631"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9906463\/09759446.pdf?arnumber=9759446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:26:19Z","timestamp":1705958779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9759446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":40,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3168559","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}