{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T06:07:20Z","timestamp":1749794840958,"version":"3.37.3"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2019A1515111087"],"award-info":[{"award-number":["2019A1515111087"]}]},{"name":"Project of Young Innovative Talents from Educational Commission of Guangdong Province, China","award":["2018KQNCX247"],"award-info":[{"award-number":["2018KQNCX247"]}]},{"DOI":"10.13039\/501100006410","name":"Doctoral Scientific Research Foundation of Huizhou University","doi-asserted-by":"publisher","award":["2018JB024","2018JB025"],"award-info":[{"award-number":["2018JB024","2018JB025"]}],"id":[{"id":"10.13039\/501100006410","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515010962"],"award-info":[{"award-number":["2020A1515010962"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Educational Science Planning Project of Guangdong Province","award":["2018GXJK183"],"award-info":[{"award-number":["2018GXJK183"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2991442","type":"journal-article","created":{"date-parts":[[2020,4,30]],"date-time":"2020-04-30T19:59:51Z","timestamp":1588276791000},"page":"82347-82363","source":"Crossref","is-referenced-by-count":4,"title":["A Probabilistic Model-Based Method With Nonlocal Filtering for Robust Magnetic Resonance Imaging Reconstruction"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6625-3949","authenticated-orcid":false,"given":"Zhonghua","family":"Xie","sequence":"first","affiliation":[]},{"given":"Lingjun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Cui","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2837865"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2873047"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2628352"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2012.09.003"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.038"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2676466"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2765831"},{"key":"ref35","first-page":"676","article-title":"Group sparse coding with a Laplacian scale mixture prior","author":"garrigues","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.11.003"},{"key":"ref10","first-page":"1","article-title":"An efficient algorithm for compressed MR imaging using total variation and wavelets","author":"ma","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2813969"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.02.019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2014.07.016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2191780"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.03.064"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2150231"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.09.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929364"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2932961"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2329449"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21391"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2365634"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2793851"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964095"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2556683"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2886290"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2806351"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21236"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2791179"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2956877"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2503756"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532589"},{"key":"ref22","article-title":"DR2-net: Deep residual reconstruction network for image compressive sensing","author":"yao","year":"2017","journal-title":"arXiv 1702 05743"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952561"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/070703983"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2846413"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2763583"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2017.03.017"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ITWKSPS.2010.5503228"},{"key":"ref25","article-title":"Learned D-AMP: Principled neural network based compressive image recovery","author":"metzler","year":"2017","journal-title":"arXiv 1704 06625"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09082668.pdf?arnumber=9082668","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:51:46Z","timestamp":1639770706000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9082668\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2991442","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}