{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T22:03:45Z","timestamp":1778537025834,"version":"3.51.4"},"reference-count":44,"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"}],"funder":[{"name":"Swedish Foundation of Strategic Research","award":["AM13-0049"],"award-info":[{"award-number":["AM13-0049"]}]},{"name":"VINNOVA Open Innovation Hub","award":["2015-06759"],"award-info":[{"award-number":["2015-06759"]}]},{"name":"Philips Healthcare"},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technological Development of the Republic of Serbia","award":["ON174008"],"award-info":[{"award-number":["ON174008"]}]},{"name":"National Academic Infrastructure for Supercomputing in Sweden"},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e5det","doi-asserted-by":"publisher","award":["2022-06725"],"award-info":[{"award-number":["2022-06725"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tci.2024.3463485","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T18:01:44Z","timestamp":1726682504000},"page":"1414-1424","source":"Crossref","is-referenced-by-count":5,"title":["3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6648-2378","authenticated-orcid":false,"given":"Jevgenija","family":"Rudzusika","sequence":"first","affiliation":[{"name":"Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8754-7436","authenticated-orcid":false,"given":"Buda","family":"Baji\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1986-0057","authenticated-orcid":false,"given":"Thomas","family":"Koehler","sequence":"additional","affiliation":[{"name":"Philips Innovative Technologies, Hamburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1118-6483","authenticated-orcid":false,"given":"Ozan","family":"\u00d6ktem","sequence":"additional","affiliation":[{"name":"Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.8.5.052111"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-5670(07)00401-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s40134-012-0003-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1155\/S0161171203209315"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019191422"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1017\/S0962492919000059"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2021.01.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging6120135"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI53787.2023.10230511"},{"key":"ref10","article-title":"Simulator-based self-supervision for learned 3D tomography reconstruction","author":"Kosomaa","year":"2022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging7030044"},{"key":"ref13","first-page":"7368","article-title":"Near-exact recovery for tomographic inverse problems via deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Genzel"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/mp.16779"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2799231"},{"key":"ref16","article-title":"The reversible residual network: Backpropagation without storing activations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Gomez","year":"2017"},{"key":"ref17","article-title":"Invertible learned primal-dual","volume-title":"Proc. NeurIPS 2021 Workshop Deep Learn. Inverse Problems","author":"Rudzusika","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/12.2646442"},{"key":"ref19","article-title":"Neural ordinary differential equations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Chen","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.2990299"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/42.363108"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/44\/11\/311"},{"key":"ref23","article-title":"Stochastic primal-dual deep unrolling networks for imaging inverse problems","author":"Tang","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13627"},{"key":"ref25","article-title":"Low dose CT image and projection data (LDCT-and-Projection-data) (version 5) [data set]","author":"McCollough","year":"2020","journal-title":"Cancer Imag. Arch."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-010-0251-1"},{"key":"ref27","article-title":"Training deep nets with sublinear memory cost","author":"Chen","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/43\/4\/028"},{"key":"ref29","article-title":"Computed tomography: Principles, design, artifacts, and recent advances","author":"Hsieh","year":"2003"},{"key":"ref30","first-page":"112","article-title":"Correction of gain fluctuations in iterative tomographic image reconstruction","volume-title":"Proc. Int. Mtg. Fully 3D Image Recon. Rad. Nuc. Med","author":"Thibault","year":"2007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/42.993128"},{"key":"ref32","first-page":"543","article-title":"A method for solving the convex programming problem with convergence rate $o(1\/k^{2})$","volume-title":"Proc. USSR Acad. Sci., (Doklady Akademii Nauk SSSR)","volume":"269","author":"Nesterov","year":"1983"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/49\/1\/010"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/51\/7\/017"},{"key":"ref35","article-title":"Operator discretization library (ODL)","author":"Adler","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1364\/OE.24.025129"},{"key":"ref37","article-title":"Automatic differentiation in PyTorch","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","author":"Paszke","year":"2017"},{"key":"ref38","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref39","volume-title":"Robust Statistics","volume":"523","author":"Huber","year":"2004"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-019-00926-8"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3019647"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00556"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1118\/1.4941953"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/49\/11\/007"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6745852\/10398876\/10683984.pdf?arnumber=10683984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T17:24:04Z","timestamp":1727976244000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10683984\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tci.2024.3463485","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2024]]}}}