{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:51:06Z","timestamp":1773931866885,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Special Fund of the Hubei Luojia Laboratory","award":["230100001"],"award-info":[{"award-number":["230100001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3547474","type":"journal-article","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T13:30:15Z","timestamp":1741008615000},"page":"1-12","source":"Crossref","is-referenced-by-count":2,"title":["Zero-Shot Low-Dose CT Image Denoising via Patch-Based Content-Guided Diffusion Models"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5635-9117","authenticated-orcid":false,"given":"Bo","family":"Su","sequence":"first","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3011-0983","authenticated-orcid":false,"given":"Xiangyun","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4173-0518","authenticated-orcid":false,"given":"Yunfei","family":"Zha","sequence":"additional","affiliation":[{"name":"Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3638-3775","authenticated-orcid":false,"given":"Zijun","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0073-1434","authenticated-orcid":false,"given":"Yuncheng","family":"Ma","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0984-9794","authenticated-orcid":false,"given":"Jiabo","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2615-787X","authenticated-orcid":false,"given":"Baochang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Computer Aided Medical Procedures (CAMP), Technische Universit&#x00E4;t M&#x00FC;nchen, Munich, Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1056\/nejmra072149"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2020.3011413"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2187213"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.3232004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2004.834824"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/53\/17\/021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3233\/xst-2006-00155"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/55\/22\/001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/57\/23\/7923"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2195669"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1118\/1.2789499"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-012-2765-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1118\/1.3638125"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.2006907"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2022368"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2024.3403187"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3329200"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3128703"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3225697"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-022-09785-w"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3113365"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3155788"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2023.3241546"},{"key":"ref25","article-title":"DuDoTrans: Dual-domain transformer provides more attention for sinogram restoration in sparse-view CT reconstruction","author":"Wang","year":"2021","journal-title":"arXiv:2111.10790"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3148110"},{"key":"ref27","article-title":"Diffusion prior regularized iterative reconstruction for low-dose CT","author":"Xia","year":"2023","journal-title":"arXiv:2310.06949"},{"key":"ref28","article-title":"Unsupervised CT metal artifact reduction by plugging diffusion priors in dual domains","author":"Liu","year":"2023","journal-title":"arXiv:2308.16742"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102479"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16446-0_59"},{"key":"ref31","article-title":"Solving inverse problems in medical imaging with score-based generative models","author":"Song","year":"2021","journal-title":"arXiv:2111.08005"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3320812"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3416398"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3432812"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2024.3375967"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3220681"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2023.3309474"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2022.3224553"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3312748"},{"key":"ref40","first-page":"524","article-title":"Noise2Self: Blind denoising by self-supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Batson"},{"key":"ref41","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126278"},{"key":"ref43","article-title":"Diffusion probabilistic priors for zero-shot low-dose CT image denoising","author":"Liu","year":"2023","journal-title":"arXiv:2305.15887"},{"key":"ref44","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref45","first-page":"330","article-title":"An open library of CT patient projection data","volume-title":"Proc. SPIE","volume":"9783","author":"Chen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICSP48669.2020.9320928"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/acc000"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref51","article-title":"DPM-Solver++: Fast solver for guided sampling of diffusion probabilistic models","author":"Lu","year":"2022","journal-title":"arXiv:2211.01095"},{"key":"ref52","first-page":"26565","article-title":"Elucidating the design space of diffusion-based generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Karras"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-9263-6_5"},{"key":"ref54","article-title":"Low-dose CT using denoising diffusion probabilistic model for 20\u00d7speedup","author":"Xia","year":"2022","journal-title":"arXiv:2209.15136"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10909320.pdf?arnumber=10909320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T20:49:41Z","timestamp":1772225381000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10909320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3547474","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}