{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T20:19:48Z","timestamp":1780431588241,"version":"3.54.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100007316","name":"Informatics for Life Project through the Klaus Tschira Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007316","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Competence Network for Congenital Heart Defects through the Federal Ministry of Education and Research","doi-asserted-by":"publisher","award":["01GI0601"],"award-info":[{"award-number":["01GI0601"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010447","name":"German Centre for Cardiovascular Research","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100010447","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/tmi.2021.3052972","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T20:57:38Z","timestamp":1611176258000},"page":"2939-2953","source":"Crossref","is-referenced-by-count":12,"title":["Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4989-8766","authenticated-orcid":false,"given":"Sven","family":"Koehler","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarique","family":"Hussain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6916-0107","authenticated-orcid":false,"given":"Zach","family":"Blair","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9442-8600","authenticated-orcid":false,"given":"Tyler","family":"Huffaker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"Ritzmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Animesh","family":"Tandon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0019-6325","authenticated-orcid":false,"given":"Thomas","family":"Pickardt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samir","family":"Sarikouch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heiner","family":"Latus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7288-6566","authenticated-orcid":false,"given":"Gerald","family":"Greil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6519-6484","authenticated-orcid":false,"given":"Ivo","family":"Wolf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8816-7654","authenticated-orcid":false,"given":"Sandy","family":"Engelhardt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"143","article-title":"&#x2018;The Euler angles&#x2019; and &#x2018;Euler angles in alternate conventions","author":"goldstein","year":"1980","journal-title":"&#x00A7;4&#x2013;4 and Appendix B in Classical Mechanics"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00968"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01182-4"},{"key":"ref32","article-title":"Unsupervised domain adaptation with multiple domain discriminators and adaptive self-training","author":"spadotto","year":"2020","journal-title":"arXiv 2004 12724"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2980671"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00608"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-46976-8_19","article-title":"The importance of skip connections in biomedical image segmentation","volume":"10008","author":"drozdzal","year":"2016","journal-title":"Deep Learning and Data Labeling for Medical Applications&#x2014;DLMIA"},{"key":"ref36","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc 32nd Int Conf Int Conf Mach Learn (ICML)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/12.2550651"},{"key":"ref34","article-title":"SPIGAN: Privileged adversarial learning from simulation","author":"lee","year":"2018","journal-title":"arXiv 1810 03756"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2743464"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCIMAGING.111.963637"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.05.008"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.09.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.10.004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_10"},{"key":"ref16","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00964"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_19"},{"key":"ref28","article-title":"Adversarial dropout regularization","author":"saito","year":"2017","journal-title":"arXiv 1711 01575"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2009.02.030"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00710"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101693"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/1532-429X-11-S1-P210"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_13"},{"key":"ref7","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/technologies8020035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.203"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_42"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00823"},{"key":"ref41","article-title":"Albumentations: Fast and flexible image augmentations","author":"buslaev","year":"2018","journal-title":"arXiv 1809 06839"},{"key":"ref23","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.10329"},{"key":"ref26","first-page":"1989","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3400066"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00189"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9552972\/09328840.pdf?arnumber=9328840","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:19Z","timestamp":1652194159000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9328840\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":44,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2021.3052972","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10]]}}}