{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T16:09:10Z","timestamp":1778774950547,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011755","name":"National Key Project of Research and Development Plan","doi-asserted-by":"publisher","award":["2022YFC2401600"],"award-info":[{"award-number":["2022YFC2401600"]}],"id":[{"id":"10.13039\/501100011755","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["T2225025"],"award-info":[{"award-number":["T2225025"]}],"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":["62301145"],"award-info":[{"award-number":["62301145"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Programs in Jiangsu Province of China","award":["BE2021703"],"award-info":[{"award-number":["BE2021703"]}]},{"name":"Key Research and Development Programs in Jiangsu Province of China","award":["BE2022768"],"award-info":[{"award-number":["BE2022768"]}]},{"DOI":"10.13039\/501100010010","name":"Jiangsu Province Science Foundation for Youths","doi-asserted-by":"publisher","award":["BK20220825"],"award-info":[{"award-number":["BK20220825"]}],"id":[{"id":"10.13039\/501100010010","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tmi.2025.3617899","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:36:45Z","timestamp":1759772205000},"page":"1099-1114","source":"Crossref","is-referenced-by-count":2,"title":["Delta-Net: Deep Dual-Domain Alternating Optimization Network for High Pitch Helical CT Reconstruction"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6788-423X","authenticated-orcid":false,"given":"Xinyun","family":"Zhong","sequence":"first","affiliation":[{"name":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7612-9070","authenticated-orcid":false,"given":"Guojun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8562-047X","authenticated-orcid":false,"given":"Li","family":"Chen","sequence":"additional","affiliation":[{"name":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4048-4869","authenticated-orcid":false,"given":"Yikun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, School of Computer Science and Engineering, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0770-9189","authenticated-orcid":false,"given":"Qianjin","family":"Feng","sequence":"additional","affiliation":[{"name":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7901-5253","authenticated-orcid":false,"given":"Xu","family":"Ji","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, School of Computer Science and Engineering, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5660-6349","authenticated-orcid":false,"given":"Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, School of Computer Science and Engineering, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/00004424-199711000-00002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/44\/2\/019"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3233\/XST-2006-00155"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2380993"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2983414"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2018.2867611"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3225697"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2715284"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2823338"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3221772"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3128703"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2022.3225680"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3449647"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/acc000"},{"key":"ref16","article-title":"Prompted contextual transformer for incomplete-view CT reconstruction","author":"Ma","year":"2023","journal-title":"arXiv:2312.07846"},{"key":"ref17","article-title":"CT-mamba: A hybrid convolutional state space model for low-dose CT denoising","author":"Li","year":"2024","journal-title":"arXiv:2411.07930"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/mp.17387"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3054167"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3097808"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s19183941"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01454"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43990-2_44"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2023.3281196"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/mp.16421"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2023.3242662"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17247-2_9"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01076"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab8fc1"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2805692"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2022.3222213"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102289"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3351382"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3175529"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3420411"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15176"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3083210"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3148110"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_11"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.05.001"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00270"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"issue":"1","key":"ref48","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume-title":"Proc. ICML","volume":"30","author":"Maas"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref50","first-page":"5769","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Gulrajani"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14594"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2022.100475"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102729"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3231453"},{"key":"ref56","article-title":"Plug-and-play methods provably converge with properly trained denoisers","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Ryu"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2629286"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01165"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01045"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00377"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11421252\/11193774.pdf?arnumber=11193774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T20:43:23Z","timestamp":1772743403000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11193774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":60,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3617899","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}