{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T00:32:29Z","timestamp":1771029149203,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100010665","name":"European Union\u2019s Horizon 2020 research and innovation programme through the Marie Sklodowska-Curie","doi-asserted-by":"publisher","award":["N\u00b0 701915"],"award-info":[{"award-number":["N\u00b0 701915"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"LabEx PRIMES of the University de Lyon","doi-asserted-by":"publisher","award":["ANR-11-LABX-0063"],"award-info":[{"award-number":["ANR-11-LABX-0063"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"ANR project SALTO","doi-asserted-by":"publisher","award":["ANR-17-CE19-0011-01"],"award-info":[{"award-number":["ANR-17-CE19-0011-01"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010681","name":"European Union\u2019s Horizon 2020 research and innovation programme","doi-asserted-by":"publisher","award":["N 668142"],"award-info":[{"award-number":["N 668142"]}],"id":[{"id":"10.13039\/100010681","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"France Life Imaging from the French Investissements d\u2019Avenir","doi-asserted-by":"publisher","award":["ANR-11-INBS-0006"],"award-info":[{"award-number":["ANR-11-INBS-0006"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland Project","doi-asserted-by":"publisher","award":["312123"],"award-info":[{"award-number":["312123"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"EPSRC","doi-asserted-by":"publisher","award":["EP\/N022750\/1"],"award-info":[{"award-number":["EP\/N022750\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"EPSRC","doi-asserted-by":"publisher","award":["EP\/T000864\/1"],"award-info":[{"award-number":["EP\/T000864\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3056150","type":"journal-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T06:25:48Z","timestamp":1612247148000},"page":"25632-25647","source":"Crossref","is-referenced-by-count":34,"title":["Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2757-8676","authenticated-orcid":false,"given":"Juan F. P. J.","family":"Abascal","sequence":"first","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3996-710X","authenticated-orcid":false,"given":"Nicolas","family":"Ducros","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"given":"Valeriya","family":"Pronina","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2530-1013","authenticated-orcid":false,"given":"Simon","family":"Rit","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"given":"Pierre-Antoine","family":"Rodesch","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"given":"Thomas","family":"Broussaud","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"given":"Suzanne","family":"Bussod","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"given":"Philippe C.","family":"Douek","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3756-8121","authenticated-orcid":false,"given":"Andreas","family":"Hauptmann","sequence":"additional","affiliation":[{"name":"Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1292-0210","authenticated-orcid":false,"given":"Simon","family":"Arridge","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University College London, London, U.K."}]},{"given":"Francoise","family":"Peyrin","sequence":"additional","affiliation":[{"name":"Univ Lyon, INSA-Lyon, Universit&#x00E9; Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm CREATIS UMR 5220, U1206, LYON, France"}]}],"member":"263","reference":[{"key":"ref39","first-page":"59","article-title":"Multi-energy CT decomposition using convolutional neural networks","volume":"10573","author":"clark","year":"2018","journal-title":"Medical Imaging Physics of Medical Imaging"},{"key":"ref38","article-title":"Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction","author":"park","year":"2017","journal-title":"arXiv 1708 00244"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2820382"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2785879"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713099"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref37","first-page":"234","author":"ronneberger","year":"2015","journal-title":"U-net Convolutional networks for biomedical image segmentation"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1017\/S0962492919000059"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2760358"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2936204"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301270"},{"key":"ref62","article-title":"Stabilizing deep tomographic reconstruction networks","author":"wu","year":"2020","journal-title":"arXiv 2008 01846"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2799231"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISBIWorkshops50223.2020.9153440"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1118\/1.4820371"},{"key":"ref29","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/21\/5\/002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/52\/15\/020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aaeaf2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12283"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1201\/9780429486111-19"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2746269"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/53\/15\/002"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/aae1e7"},{"key":"ref25","first-page":"41","article-title":"Penalized likelihood decomposition for dual layer spectral CT","author":"brendel","year":"2016","journal-title":"Proc 4th Intl Mtg Image Formation X-ray CT"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967622"},{"key":"ref51","article-title":"The KiTS19 challenge data: 300 kidney tumor cases with clinical context, ct semantic segmentations, and surgical outcomes","author":"heller","year":"2019"},{"key":"ref59","first-page":"3347","article-title":"Transfusion: Understanding transfer learning for medical imaging","volume":"32","author":"raghu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2019.05.019"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/S0939-3889(15)70384-3"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.nima.2017.04.014"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/489\/1\/012079"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12344"},{"key":"ref53","author":"ducros","year":"0","journal-title":"SPRAY&#x2014;Spectral X-Ray Image Reconstruction Toolbox"},{"key":"ref52","article-title":"Deep Bayesian inversion computational uncertainty quantification for large scale inverse problems","author":"adler","year":"2018","journal-title":"arXiv 1811 05910"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1118\/1.4790468"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2020.2997880"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/61\/16\/6132"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2339497"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/27\/11\/115012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2380993"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2305840"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1118\/1.3525840"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2320284"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/59\/21\/6445"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1088\/0022-3727\/59\/22\/6709"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.3611506"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10092473"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1118\/1.4894724"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000483"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/5\/1741"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/59\/10\/N65"},{"key":"ref49","first-page":"12949","article-title":"Sim2real transfer learning for 3D human pose estimation: motion to the rescue","volume":"32","author":"doersch","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.58.1.013104"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3400066"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1118\/1.4967345"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13946"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/8\/3175"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09343830.pdf?arnumber=9343830","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T19:58:29Z","timestamp":1662667109000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9343830\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3056150","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}