{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T22:05:40Z","timestamp":1770933940044,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Project, China","doi-asserted-by":"publisher","award":["2019YFE0110800"],"award-info":[{"award-number":["2019YFE0110800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276040"],"award-info":[{"award-number":["62276040"]}],"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":["62276041"],"award-info":[{"award-number":["62276041"]}],"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":["62221005"],"award-info":[{"award-number":["62221005"]}],"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":["61976031"],"award-info":[{"award-number":["61976031"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research Instrument Development Program, China","award":["62027827"],"award-info":[{"award-number":["62027827"]}]},{"name":"Chongqing Education Commission Science and Technology Research Project, China","award":["KJQN202200624"],"award-info":[{"award-number":["KJQN202200624"]}]},{"name":"Chongqing Big Data Collaborative Innovation Center Funding","award":["CQBDCIC202303"],"award-info":[{"award-number":["CQBDCIC202303"]}]},{"DOI":"10.13039\/501100005230","name":"Natural Science Foundation of Chongqing Municipality","doi-asserted-by":"publisher","award":["CSTB2022NSCQ-MSX0436"],"award-info":[{"award-number":["CSTB2022NSCQ-MSX0436"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chongqing Key Laboratory of Precision Diagnosis and Treatment for Kidney Diseases"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tcsvt.2025.3601858","type":"journal-article","created":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:04:57Z","timestamp":1755911097000},"page":"1993-2005","source":"Crossref","is-referenced-by-count":0,"title":["Parallel Trajectory Constraint Sampling for Solving Universal Medical Inverse Problems"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7722-0093","authenticated-orcid":false,"given":"Lihong","family":"Qiao","sequence":"first","affiliation":[{"name":"Chongqing Big Data Collaborative Innovation Center, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"given":"Jinbo","family":"Li","sequence":"additional","affiliation":[{"name":"Chongqing Big Data Collaborative Innovation Center, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7422-4604","authenticated-orcid":false,"given":"Rongxuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing Big Data Collaborative Innovation Center, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5737-9571","authenticated-orcid":false,"given":"Yucheng","family":"Shu","sequence":"additional","affiliation":[{"name":"Chongqing Big Data Collaborative Innovation Center, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9033-8245","authenticated-orcid":false,"given":"Weisheng","family":"Li","sequence":"additional","affiliation":[{"name":"Chongqing Big Data Collaborative Innovation Center, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6954-7691","authenticated-orcid":false,"given":"Zhanchuan","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7985-0037","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing Big Data Collaborative Innovation Center, Chongqing University of Posts and Telecommunications, Chongqing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10091012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15489"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2020.08.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2739299"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.923099"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1907377117"},{"key":"ref8","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref9","first-page":"1","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song"},{"key":"ref10","article-title":"Flow matching for generative modeling","author":"Lipman","year":"2022","journal-title":"arXiv:2210.02747"},{"key":"ref11","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Dhariwal"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00978"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3424435"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3369757"},{"key":"ref15","first-page":"1","article-title":"Scaling rectified flow transformers for high-resolution image synthesis","volume-title":"Proc. 44th Int. Conf. Mach. Learn.","author":"Esser"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bjrai\/ubae013"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28209"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02036"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73202-7_25"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3525015"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3383659"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i3.32304"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV61041.2025.00032"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i16.33819"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00844"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00811"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3286841"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3435448"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-78305-0_10"},{"key":"ref30","article-title":"Image translation as diffusion visual programmers","author":"Han","year":"2024","journal-title":"arXiv:2401.09742"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00191"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00194"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102846"},{"key":"ref34","article-title":"A survey on diffusion models for inverse problems","author":"Daras","year":"2024","journal-title":"arXiv:2410.00083"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00965"},{"key":"ref36","article-title":"A variational perspective on solving inverse problems with diffusion models","author":"Mardani","year":"2023","journal-title":"arXiv:2305.04391"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16446-0_62"},{"key":"ref38","first-page":"1","article-title":"Diffusion posterior sampling for linear inverse problem solving: A filtering perspective","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dou"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00905"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16446-0_59"},{"key":"ref41","article-title":"Zero-shot image restoration using denoising diffusion null-space model","author":"Wang","year":"2022","journal-title":"arXiv:2212.00490"},{"key":"ref42","first-page":"1","article-title":"Pseudoinverse-guided diffusion models for inverse problems","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00983"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00170"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00587"},{"key":"ref46","article-title":"Learning Fourier-constrained diffusion bridges for MRI reconstruction","author":"Mirza","year":"2023","journal-title":"arXiv:2308.01096"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2025.103747"},{"key":"ref48","article-title":"Physics-driven autoregressive state space models for medical image reconstruction","author":"Kabas","year":"2024","journal-title":"arXiv:2412.09331"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4149(82)90051-5"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00142"},{"issue":"24","key":"ref51","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":"ref52","first-page":"574","article-title":"Sliced score matching: A scalable approach to density and score estimation","volume":"115","author":"Song","year":"2020","journal-title":"Proc. 36th Conf. Uncertainty Artif. Intell.(UAI), Mach. Learn. Res."},{"key":"ref53","first-page":"11895","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"32","author":"Song"},{"key":"ref54","first-page":"6572","article-title":"Neural ordinary differential equations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Chen"},{"key":"ref55","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020","journal-title":"arXiv:2010.02502"},{"key":"ref56","article-title":"Neural empirical Bayes","author":"Saremi","year":"2019","journal-title":"arXiv:1903.02334"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345632"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2011.tm11181"},{"key":"ref59","article-title":"FastMRI: An open dataset and benchmarks for accelerated MRI","author":"Zbontar","year":"2018","journal-title":"arXiv:1811.08839"},{"key":"ref60","article-title":"Decomposed diffusion sampler for accelerating large-scale inverse problems","author":"Chung","year":"2023","journal-title":"arXiv:2303.05754"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102479"},{"key":"ref62","first-page":"1","article-title":"Solving inverse problems in compressive imaging with score-based generative models","volume-title":"Proc. IEEE 10th Int. Conf. Data Sci. Adv. Analytics (DSAA)","author":"Chong"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI56570.2024.10635891"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02159"},{"key":"ref65","first-page":"25683","article-title":"Improving diffusion models for inverse problems using manifold constraints","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Chung"},{"key":"ref66","first-page":"1","article-title":"Diffusion posterior sampling for general noisy inverse problems","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Chung"},{"key":"ref67","first-page":"23593","article-title":"Denoising diffusion restoration models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Kawar"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/11392768\/11134484.pdf?arnumber=11134484","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T21:02:51Z","timestamp":1770930171000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11134484\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":67,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2025.3601858","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}