{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T16:51:48Z","timestamp":1791564708673,"version":"4.3.4"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3354554","type":"journal-article","created":{"date-parts":[[2024,1,16]],"date-time":"2024-01-16T18:30:40Z","timestamp":1705429840000},"page":"381-385","source":"Crossref","is-referenced-by-count":8,"title":["Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3265-0349","authenticated-orcid":false,"given":"Arthur","family":"Floquet","sequence":"first","affiliation":[{"name":"IRIT Laboratory, Université de Toulouse, and CNRS, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8187-4193","authenticated-orcid":false,"given":"Sayantan","family":"Dutta","sequence":"additional","affiliation":[{"name":"Department of Radiology, Weill Cornell Medicine, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0571-6983","authenticated-orcid":false,"given":"Emmanuel","family":"Soubies","sequence":"additional","affiliation":[{"name":"IRIT Laboratory, Université de Toulouse, and CNRS, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2928-5797","authenticated-orcid":false,"given":"Duong-Hung","family":"Pham","sequence":"additional","affiliation":[{"name":"IRIT Laboratory, Université de Toulouse, and CNRS, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2143-759X","authenticated-orcid":false,"given":"Denis","family":"Kouame","sequence":"additional","affiliation":[{"name":"IRIT Laboratory, Université de Toulouse, and CNRS, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2647948"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2022.108690"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1515\/9783110430394-008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP49359.2023.10222154"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/ac245d"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/23M1552486"},{"key":"ref8","first-page":"2965","article-title":"Noise2Noise: Learning image restoration without clean data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lehtinen","year":"2018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3026622"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01208"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00208"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/1268518"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/140968045"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2001404"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2052820"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1054-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1168\/2\/022022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01303-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/OJSP.2021.3067507"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506794"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00223"},{"key":"ref23","first-page":"524","article-title":"Noise2self: Blind denoising by self-supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Batson","year":"2019"},{"key":"ref24","first-page":"1","article-title":"Training image estimators without image ground truth","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xia","year":"2019"},{"key":"ref25","first-page":"4983","article-title":"Unsupervised learning from incomplete measurements for inverse problems","volume-title":"Proc. 36th Conf. Neural Inf. Process. Syst.","author":"Tachella","year":"2022"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/10380231\/10400797.pdf?arnumber=10400797","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:23:33Z","timestamp":1706768613000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10400797\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3354554","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}