{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T23:32:14Z","timestamp":1775086334594,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61501292"],"award-info":[{"award-number":["61501292"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01 EB018753"],"award-info":[{"award-number":["U01 EB018753"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-15-1-2141"],"award-info":[{"award-number":["N00014-15-1-2141"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DARPA Young Faculty","award":["D14AP00086"],"award-info":[{"award-number":["D14AP00086"]}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-11-1-0391"],"award-info":[{"award-number":["W911NF-11-1-0391"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["2015-05174-05"],"award-info":[{"award-number":["2015-05174-05"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/tmi.2019.2934933","type":"journal-article","created":{"date-parts":[[2019,8,12]],"date-time":"2019-08-12T19:31:06Z","timestamp":1565638266000},"page":"729-741","source":"Crossref","is-referenced-by-count":25,"title":["SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2295-3123","authenticated-orcid":false,"given":"Siqi","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5792-5827","authenticated-orcid":false,"given":"Saiprasad","family":"Ravishankar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2055-0662","authenticated-orcid":false,"given":"Yong","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9998-3315","authenticated-orcid":false,"given":"Jeffrey A.","family":"Fessler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Adaptive sparse modeling and shifted-Poisson likelihood based approach for low-dose CT image reconstruction","author":"ye","year":"2017","journal-title":"Proc IEEE Workshop Mach Learn Signal Process"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832007"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"98470l","DOI":"10.1117\/12.2223786","article-title":"2.5D dictionary learning based computed tomography reconstruction","volume":"9847","author":"luo","year":"2016","journal-title":"Proc SPIE"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"1682","DOI":"10.1109\/TMI.2012.2195669","article-title":"Low-dose X-ray CT reconstruction via dictionary learning","volume":"31","author":"xu","year":"2012","journal-title":"IEEE Trans Med Imag"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12097"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1118\/1.3638125"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2405503"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2226449"},{"key":"ref35","volume":"29","author":"garey","year":"2002","journal-title":"Computers and Intractability"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2643009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1118\/1.3560878"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1118\/1.2836423"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2172951"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/57\/2\/309"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1118\/1.598392"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2606338"},{"key":"ref22","article-title":"Unbiased statistical image reconstruction in low-dose CT","volume":"10948","author":"hayes","year":"2019","journal-title":"Proc SPIE"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/83.465108"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.875429"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1118\/1.1915015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2779406"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1109\/TIP.2009.2017139","article-title":"Electronic noise modeling in statistical iterative reconstruction","volume":"18","author":"xu","year":"2009","journal-title":"IEEE Trans Image Process"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2508780"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/42.802758"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.1.000612"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2010.2050898"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2600249"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1118\/1.2955743"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1137\/141002293"},{"key":"ref54","author":"mordukhovich","year":"2006","journal-title":"Variational Analysis and Generalized Differentiation I Basic Theory II Applications"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02431-3"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1137\/17M112124X"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1118\/1.4722751"},{"key":"ref11","first-page":"399","article-title":"Modeling mixed Poisson–Gaussian noise in statistical image reconstruction for X-ray CT","author":"ding","year":"2016","journal-title":"Proc 2nd Int Meeting Image Formation X-ray CT"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0761-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/58\/12\/R63"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2627004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2012.01.003"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1118\/1.2789499"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2350962"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/42.993128"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2006.882141"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/12.660281"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2008.2004557"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/19\/7437"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1118\/1.598410"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/3.831079.ch1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/12.480302"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.465601"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2365179"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1097\/RCT.0b013e318258e891"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823756"},{"key":"ref45","article-title":"Deep residual learning for compressed sensing CT reconstruction via persistent homology analysis","author":"han","year":"2016","journal-title":"arXiv 1611 06391"},{"key":"ref48","first-page":"115","article-title":"Sparse-view X-ray CT reconstruction using \n$\\ell_{1}$\n regularization with learned sparsifying transform","author":"chun","year":"2017","journal-title":"Proc of International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2567299"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2753138"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2799231"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865202"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2805692"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9023440\/08794829.pdf?arnumber=8794829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:58:27Z","timestamp":1651067907000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8794829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":59,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2019.2934933","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3]]}}}