{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T12:39:29Z","timestamp":1774701569413,"version":"3.50.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tmi.2023.3311345","type":"journal-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T17:28:56Z","timestamp":1693589336000},"page":"3817-3832","source":"Crossref","is-referenced-by-count":17,"title":["Stable Deep MRI Reconstruction Using Generative Priors"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1941-875X","authenticated-orcid":false,"given":"Martin","family":"Zach","sequence":"first","affiliation":[{"name":"Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5357-8656","authenticated-orcid":false,"given":"Florian","family":"Knoll","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence in Biomedical Engineering, Friedrich Alexander University of Erlangen&#x2013;Nuernberg, Erlangen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6120-1058","authenticated-orcid":false,"given":"Thomas","family":"Pock","sequence":"additional","affiliation":[{"name":"Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21728"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22964"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.1999.786990"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27420"},{"key":"ref8","article-title":"fastMRI: An open dataset and benchmarks for accelerated MRI","author":"Zbontar","year":"2018","journal-title":"arXiv:1811.08839"},{"key":"ref9","first-page":"1","article-title":"Invert to learn to invert","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Putzky"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00433"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2527753"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102479"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66709-6_23"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0165-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nature25988"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/16M1064064"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_7"},{"key":"ref20","first-page":"537","article-title":"Compressed sensing using generative models","volume-title":"Proc. ICML","volume":"70","author":"Bora"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref22","first-page":"1","article-title":"Solving inverse problems in medical imaging with score-based generative models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.29624"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00965"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1907377117"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00757"},{"key":"ref27","first-page":"1","article-title":"Implicit generation and modeling with energy based models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Du"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5973"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.160"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.4848"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2023.02.004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24751"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10087"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21691"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.21245"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-021-00727-9"},{"key":"ref37","first-page":"1","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. ICLR","author":"Song"},{"key":"ref38","first-page":"14938","article-title":"Robust compressed sensing MRI with deep generative priors","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Jalal"},{"key":"ref39","first-page":"1","article-title":"Diffusion posterior sampling for general noisy inverse problems","volume-title":"Proc. ICLR","author":"Chung"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1137\/090769521"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.2307\/3318418"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00123"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1137\/16M1108340"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-020-09986-y"},{"key":"ref47","first-page":"1","article-title":"Improved contrastive divergence training of energy based models","volume-title":"Proc. ICML","author":"Du"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007925832420"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390290"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1017\/S096249291600009X"},{"key":"ref51","article-title":"The complex gradient operator and the CR-calculus","author":"Kreutz-Delgado","year":"2009","journal-title":"arXiv:0906.4835"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/s0003-2670(00)82860-3"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020190007"},{"key":"ref54","first-page":"18795","article-title":"Adabelief optimizer: Adapting stepsizes by the belief in observed gradients","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zhuang"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00771"},{"key":"ref57","first-page":"1","article-title":"Visualizing the loss landscape of neural nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Li"},{"key":"ref58","first-page":"52","article-title":"Computed tomography reconstruction using generative energy-based priors","volume-title":"Proc. OAGM Workshop","author":"Zach"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10336247\/10237244.pdf?arnumber=10237244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T23:22:54Z","timestamp":1709335374000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10237244\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":58,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3311345","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}