{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T01:10:33Z","timestamp":1791421833489,"version":"4.3.3"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62122033"],"award-info":[{"award-number":["62122033"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62161026"],"award-info":[{"award-number":["62161026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013064","name":"Key Research and Development Program of Jiangxi Province","doi-asserted-by":"publisher","award":["20212BBE53001"],"award-info":[{"award-number":["20212BBE53001"]}],"id":[{"id":"10.13039\/501100013064","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tmi.2023.3288219","type":"journal-article","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T19:03:27Z","timestamp":1687547007000},"page":"3420-3435","source":"Crossref","is-referenced-by-count":24,"title":["One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5328-6775","authenticated-orcid":false,"given":"Hong","family":"Peng","sequence":"first","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Sciences, Nanchang University, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9098-8048","authenticated-orcid":false,"given":"Jing","family":"Cheng","sequence":"additional","affiliation":[{"name":"Paul C. Lauterbur Research Center for Biomedical Imaging, SIAT, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6158-5722","authenticated-orcid":false,"given":"Minghui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0575-6523","authenticated-orcid":false,"given":"Shanshan","family":"Wang","sequence":"additional","affiliation":[{"name":"Paul C. Lauterbur Research Center for Biomedical Imaging, SIAT, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6257-0875","authenticated-orcid":false,"given":"Dong","family":"Liang","sequence":"additional","affiliation":[{"name":"Paul C. Lauterbur Research Center for Biomedical Imaging, SIAT, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4717-2283","authenticated-orcid":false,"given":"Qiegen","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Nanchang University, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2956877"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2760978"},{"key":"ref56","article-title":"UNIT-DDPM: UNpaired image translation with denoising diffusion probabilistic models","author":"sasaki","year":"2021","journal-title":"arXiv 2104 05358"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.29036"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22899"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2863670"},{"key":"ref58","article-title":"Score-based generative modeling through stochastic differential equations","author":"song","year":"2020","journal-title":"arXiv 2011 13456"},{"key":"ref53","first-page":"4713","article-title":"Image super-resolution via iterative refinement","volume":"45","author":"saharia","year":"2023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref52","first-page":"1","article-title":"DiffWave: A versatile diffusion model for audio synthesis","author":"kong","year":"2021","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26977"},{"key":"ref55","first-page":"4724","article-title":"Source separation with deep generative priors","author":"jayaram","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_78"},{"key":"ref54","first-page":"12438","article-title":"Improved techniques for training score-based generative models","volume":"33","author":"song","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","article-title":"LORAKI: Autocalibrated recurrent neural networks for autoregressive MRI reconstruction in k-space","author":"hyung kim","year":"2019","journal-title":"arXiv 1904 09390"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27420"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27921"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101717"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_22"},{"key":"ref50","first-page":"4474","article-title":"Permutation invariant graph generation via score-based generative modeling","author":"niu","year":"2020","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref46","first-page":"11895","article-title":"Generative modeling by estimating gradients of the data distribution","author":"song","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00142"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI52829.2022.9761446"},{"key":"ref47","first-page":"695","article-title":"Estimation of non-normalized statistical models by score matching","volume":"6","author":"hyv\u00e4rinen","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref42","article-title":"Score-based diffusion models for accelerated MRI","author":"chung","year":"2021","journal-title":"arXiv 2110 05243"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI52829.2022.9761692"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16446-0_62"},{"key":"ref43","first-page":"1","article-title":"Robust compressed sensing MRI with deep generative priors","volume":"34","author":"jalal","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref49","article-title":"Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models","author":"luo","year":"2022","journal-title":"arXiv 2202 01479"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28378"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2601296"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01432"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24751"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914728"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2293974"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24997"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25717"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2493530"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587642"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.22899"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2235847"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2016.7492870"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.3.CO;2-J"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10171"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101687"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2927101"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_7"},{"key":"ref70","first-page":"1","article-title":"MRI reconstruction using deep energy-based model","volume":"12262","author":"guan","year":"2022","journal-title":"NMR Biomed"},{"key":"ref73","first-page":"10","article-title":"Calibrationless parallel imaging in multi echo\/contrast data","volume":"11","author":"bilgic","year":"2016","journal-title":"Reconstruction"},{"key":"ref72","article-title":"Algorithms for sparse and low-rank optimization: Convergence, complexity and applications","author":"ma","year":"2011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3147426"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3081677"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2746086"},{"key":"ref26","article-title":"Unsupervised medical image translation with adversarial diffusion models","author":"\u00f6zbey","year":"2022","journal-title":"arXiv 2207 08208"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3001737"},{"key":"ref69","article-title":"FastMRI: An open dataset and benchmarks for accelerated MRI","author":"zbontar","year":"2018","journal-title":"arXiv 1811 08839"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2887072"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref63","first-page":"1","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"brock","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3049648"},{"key":"ref66","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume":"33","author":"tancik","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28274"},{"key":"ref65","first-page":"7324","article-title":"Making convolutional networks shift-invariant again","author":"zhang","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref27","article-title":"Generative adversarial networks for image-to-image translation on multi-contrast MR images&#x2014;A comparison of CycleGAN and UNIT","author":"welander","year":"2018","journal-title":"arXiv 1806 07777"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2780985"},{"key":"ref60","first-page":"2870","article-title":"Calibrationless parallel imaging reconstruction by structured low-rank matrix completion","author":"lustig","year":"2010","journal-title":"Proc 18th Annu Meeting ISMRM"},{"key":"ref62","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref61","first-page":"483","article-title":"Post-cartesian calibrationless parallel imaging reconstruction by structured low-rank matrix completion","author":"lustig","year":"2011","journal-title":"Proc 19th Annu Meeting ISMRM"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10299534\/10158730.pdf?arnumber=10158730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:20:10Z","timestamp":1699903210000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10158730\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":73,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3288219","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}