{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T14:56:08Z","timestamp":1775228168668,"version":"3.50.1"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["CCF-1813910"],"award-info":[{"award-number":["CCF-1813910"]}]},{"DOI":"10.13039\/100007000","name":"Laboratory Directed Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007000","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008902","name":"Los Alamos National Laboratory","doi-asserted-by":"publisher","award":["20200061DR"],"award-info":[{"award-number":["20200061DR"]}],"id":[{"id":"10.13039\/100008902","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tci.2021.3085534","type":"journal-article","created":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T19:31:05Z","timestamp":1622575865000},"page":"598-610","source":"Crossref","is-referenced-by-count":27,"title":["SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1042-4443","authenticated-orcid":false,"given":"Jiaming","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-9677","authenticated-orcid":false,"given":"Yu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijie","family":"Gan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5264-8963","authenticated-orcid":false,"given":"Xiaojian","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4767-1843","authenticated-orcid":false,"given":"Brendt","family":"Wohlberg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6770-3278","authenticated-orcid":false,"given":"Ulugbek S.","family":"Kamilov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1561\/2200000058"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8853-9"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2028250"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2832656"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1118\/1.1455742","volume":"29","author":"kak","year":"2002","journal-title":"Med Physics"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-015-0871-8"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.9.002130"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00482"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020190007"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28378"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3003170"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2799231"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1109\/TMI.2013.2266898","article-title":"Accelerating ordered subsets image reconstruction for X-ray CT using spatially nonuniform optimization transfer","volume":"32","author":"kim","year":"2013","journal-title":"IEEE Trans Med Imag"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-011-0472-0"},{"key":"ref34","first-page":"161","article-title":"The tradeoffs of large scale learning","author":"bottou","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3012955"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2017.8335685"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2998402"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532589"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2949470"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2820382"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3006390"},{"key":"ref67","first-page":"3501","article-title":"Robust phase retrieval with a flexible deep network","author":"metzler","year":"0","journal-title":"Proc 36th Int Conf Mach Learn Stockholmsm&#x00E4;ssan"},{"key":"ref68","first-page":"380","article-title":"Block coordinate regularization by denoising","author":"sun","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00328"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/83.941856"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2599778"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/17M1122451"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2763583"},{"key":"ref24","first-page":"5546","article-title":"Plug-and-play methods provably converge with properly trained denoisers","volume":"97","author":"ryu","year":"0","journal-title":"Proc 36th Int Conf"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2880326"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2999820"},{"key":"ref25","first-page":"1","article-title":"DeepRED: Deep image prior powered by RED","author":"mataev","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis Workshops"},{"key":"ref50","first-page":"399","article-title":"Learning fast approximation of sparse coding","author":"gregor","year":"0","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.349"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3025735"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27706"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3057621"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2833812"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2548245"},{"key":"ref52","first-page":"5261","article-title":"On learning optimized reaction diffuction processes for effective image restoration","author":"chen","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref10","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc MED"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1561\/9781601987174"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12344"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/OE.26.014678"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823768"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6737048"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/aa9581"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/16M1102884"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1118\/1.4957556"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1515\/9783110524116"},{"key":"ref84","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf on Learn Representation"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2629286"},{"key":"ref83","doi-asserted-by":"crossref","first-page":"25\ufffd129","DOI":"10.1364\/OE.24.025129","article-title":"Fast and flexible x-ray tomography using the ASTRA toolbox","volume":"24","author":"aarle","year":"2016","journal-title":"Opt Exp"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.58"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2176954"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2237919"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2165552"},{"key":"ref85","article-title":"Why gradient clipping accelerates training: A theoretical justification for adaptivity","author":"zhang","year":"0","journal-title":"Proc Int Conf on Learn Representation"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2760358"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2519261"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2739299"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991563"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2047910"},{"key":"ref45","first-page":"42","author":"beck","year":"2009","journal-title":"Convex Optimization in Signal Processing and Communications Cambridge Ch Gradient-Based Algorithms With Applications to Signal Recovery Problems"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1137\/090774823"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.814255"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/BF01581204"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20042"},{"key":"ref43","first-page":"1","article-title":"A $\\ell _1$-unified variational framework for image restoration","volume":"3024","author":"bect","year":"0","journal-title":"Proc Eur Comput Vis Conf"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6745852\/9318600\/09444876.pdf?arnumber=9444876","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:10Z","timestamp":1652194450000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9444876\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":86,"URL":"https:\/\/doi.org\/10.1109\/tci.2021.3085534","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2021]]}}}