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Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

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dc.contributor.authorJohnson, Patricia M.-
dc.contributor.authorJeong, Geunu-
dc.contributor.authorHammernik, Kerstin-
dc.contributor.authorSchlemper, Jo-
dc.contributor.authorQin, Chen-
dc.contributor.authorDuan, Jinming-
dc.contributor.authorRueckert, Daniel-
dc.contributor.authorLee, Jingu-
dc.contributor.authorPezzotti, Nicola-
dc.contributor.authorDe Weerdt, Elwin-
dc.contributor.authorYousefi, Sahar-
dc.contributor.authorElmahdy, Mohamed S.-
dc.contributor.authorVan Gemert, Jeroen Hendrikus Franciscus-
dc.contributor.authorSchülke, Christophe-
dc.contributor.authorDoneva, Mariya-
dc.contributor.authorNielsen, Tim-
dc.contributor.authorKastryulin, Sergey-
dc.contributor.authorLelieveldt, Boudewijn P. F.-
dc.contributor.authorVan Osch, Matthias J. P.-
dc.contributor.authorStaring, Marius-
dc.contributor.authorChen, Eric Z.-
dc.contributor.authorWang, Puyang-
dc.contributor.authorChen, Xiao-
dc.contributor.authorChen, Terrence-
dc.contributor.authorPatel, Vishal M.-
dc.contributor.authorSun, Shanhui-
dc.contributor.authorShin, Hyungseob-
dc.contributor.authorJun, Yohan-
dc.contributor.authorEo, Taejoon-
dc.contributor.authorKim, Sewon-
dc.contributor.authorKim, Taeseong-
dc.contributor.authorHwang, Dosik-
dc.contributor.authorPutzky, Patrick-
dc.contributor.authorKarkalousos, Dimitrios-
dc.contributor.authorTeuwen, Jonas-
dc.contributor.authorMiriakov, Nikita-
dc.contributor.authorBakker, Bart-
dc.contributor.authorCaan, Matthan-
dc.contributor.authorWelling, Max-
dc.contributor.authorMuckley, Matthew J.-
dc.contributor.authorKnoll, Florian-
dc.date.accessioned2023-04-13T00:40:05Z-
dc.date.available2023-04-13T00:40:05Z-
dc.date.issued2021-10-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6476-
dc.format.extent10-
dc.publisherSpringer Verlag-
dc.titleEvaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1007/978-3-030-88552-6_3-
dc.identifier.bibliographicCitationLecture Notes in Computer Science, v.12964, pp 25 - 34-
dc.citation.titleLecture Notes in Computer Science-
dc.citation.volume12964-
dc.citation.startPage25-
dc.citation.endPage34-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
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