{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:17:42Z","timestamp":1778822262674,"version":"3.51.4"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NIH the National Institute of General Medical Sciences (NIGMS) Center for Integrative Biomedical Computing"},{"name":"NIH the National Heart, Lung, and Blood Institute","award":["R01HL145590"],"award-info":[{"award-number":["R01HL145590"]}]},{"DOI":"10.13039\/100000001","name":"NSF CAREER Award","doi-asserted-by":"publisher","award":["ACI-1350374"],"award-info":[{"award-number":["ACI-1350374"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIH NIGMS","award":["P41GM103545"],"award-info":[{"award-number":["P41GM103545"]}]},{"name":"NIH NIGMS","award":["R24GM136986"],"award-info":[{"award-number":["R24GM136986"]}]},{"DOI":"10.13039\/100017995","name":"Nora Eccles Treadwell Foundation for Cardiovascular Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017995","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/tmi.2022.3218170","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:56:00Z","timestamp":1667523360000},"page":"403-415","source":"Crossref","is-referenced-by-count":11,"title":["Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1075-6736","authenticated-orcid":false,"given":"Xiajun","family":"Jiang","sequence":"first","affiliation":[{"name":"Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maryam","family":"Toloubidokhti","sequence":"additional","affiliation":[{"name":"Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4586-6911","authenticated-orcid":false,"given":"Jake","family":"Bergquist","sequence":"additional","affiliation":[{"name":"Scientific Computing and Imaging Institute (SCI), University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Zenger","sequence":"additional","affiliation":[{"name":"Scientific Computing and Imaging Institute (SCI), University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0111-9076","authenticated-orcid":false,"given":"Wilson W.","family":"Good","sequence":"additional","affiliation":[{"name":"Scientific Computing and Imaging Institute (SCI), University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0000-0356","authenticated-orcid":false,"given":"Rob S.","family":"MacLeod","sequence":"additional","affiliation":[{"name":"Scientific Computing and Imaging Institute (SCI), University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5678-2369","authenticated-orcid":false,"given":"Linwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Deep learning neural nets for detecting heart activity","author":"horvath","year":"2019","journal-title":"arXiv 1901 09831"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21949-9_11"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_12"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513207"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/436281"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_47"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2024531"},{"key":"ref18","article-title":"The information bottleneck method","author":"tishby","year":"2000","journal-title":"arXiv physics\/0004057"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2018.01727"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00472"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1115"},{"key":"ref42","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref41","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"clevert","year":"2015","journal-title":"arXiv 1511 07289"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.273"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/0960-0779(95)00089-5"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_51"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.12.039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2906600"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21949-9_3"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1038\/nature25988","article-title":"Image reconstruction by domain-transform manifold learning","volume":"555","author":"zhu","year":"2018","journal-title":"Nature"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_57"},{"key":"ref5","first-page":"10","article-title":"Deep ADMM-Net for compressive sensing MRI","author":"yang","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref40","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2013","journal-title":"arXiv 1312 6114"},{"key":"ref35","article-title":"Variational graph auto-encoders","author":"kipf","year":"2016","journal-title":"arXiv 1611 07308"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10179"},{"key":"ref37","article-title":"Triangulated surface mesh simplification","author":"cacciola","year":"2007","journal-title":"User and Reference Manual"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01418-6_41"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00097"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2839713"},{"key":"ref33","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"yu","year":"2017","journal-title":"arXiv 1709 04875"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0_33"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2760358"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","article-title":"The electrocardiographic inverse problem","volume":"20","author":"rudy","year":"1992","journal-title":"Crit Rev Biomed Eng"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84882-046-3_9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-009-9665-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/10.736746"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nm1011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1977.326201"},{"key":"ref21","article-title":"Bioelectric phenomena","author":"plonsey","year":"1969","journal-title":"Wiley Encyclopedia of Electrical and Electronics Engineering"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-009-9747-5"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2324900"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/10.918594"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/42\/10035777\/9932432-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10035777\/09932432.pdf?arnumber=9932432","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T18:49:35Z","timestamp":1677523775000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9932432\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":49,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3218170","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}