{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T23:26:54Z","timestamp":1780615614928,"version":"3.54.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000781","name":"[European Research Council (ERC)]","doi-asserted-by":"publisher","award":["884622"],"award-info":[{"award-number":["884622"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]},{"name":"German Federal Ministry of Education and Research"},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["532139938"],"award-info":[{"award-number":["532139938"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"HPC Resources"},{"name":"NHR@FAU through the NHR Projects","award":["b143dc"],"award-info":[{"award-number":["b143dc"]}]},{"name":"NHR@FAU through the NHR Projects","award":["b180dc"],"award-info":[{"award-number":["b180dc"]}]},{"name":"NHR funding is provided by federal and Bavarian state authorities"},{"name":"NHR@FAU Hardware"},{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"crossref","award":["440719683"],"award-info":[{"award-number":["440719683"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"name":"ERC through Project Medical Image Analysis with Normative Machine Learning","award":["101083647"],"award-info":[{"award-number":["101083647"]}]},{"name":"DFG","award":["513220538"],"award-info":[{"award-number":["513220538"]}]},{"name":"DFG","award":["512819079"],"award-info":[{"award-number":["512819079"]}]},{"name":"State of Bavaria"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tmi.2025.3595421","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T18:45:22Z","timestamp":1754333122000},"page":"257-268","source":"Crossref","is-referenced-by-count":4,"title":["Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2495-6114","authenticated-orcid":false,"given":"Sophie","family":"Starck","sequence":"first","affiliation":[{"name":"School of Computation, Information and Technology and the School of Medicine and Health, TUM Klinikum, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0135-7442","authenticated-orcid":false,"given":"Vasiliki","family":"Sideri-Lampretsa","sequence":"additional","affiliation":[{"name":"School of Computation, Information and Technology and the School of Medicine and Health, TUM Klinikum, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernhard","family":"Kainz","sequence":"additional","affiliation":[{"name":"Imperial College London, London, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8261-7810","authenticated-orcid":false,"given":"Martin J.","family":"Menten","sequence":"additional","affiliation":[{"name":"School of Computation, Information and Technology and the School of Medicine and Health, TUM Klinikum, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1818-1036","authenticated-orcid":false,"given":"Tamara T.","family":"Mueller","sequence":"additional","affiliation":[{"name":"School of Computation, Information and Technology and the School of Medicine and Health, TUM Klinikum, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5683-5889","authenticated-orcid":false,"given":"Daniel","family":"Rueckert","sequence":"additional","affiliation":[{"name":"School of Computation, Information and Technology and the School of Medicine and Health, TUM Klinikum, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2007.00574.x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2004.1398502"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.07.068"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2004.1398686"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.07.010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.09.062"},{"key":"ref7","first-page":"1","article-title":"Learning conditional deformable templates with convolutional networks","volume-title":"Proc. NeurIPS","author":"Dalca"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00390"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87735-4_21"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2265603"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s43856-024-00670-0"},{"key":"ref12","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","author":"Ho"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2007.128728"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0193(200002)9:2<81::AID-HBM3>3.0.CO;2-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/11866763_8"},{"key":"ref16","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"},{"key":"ref17","first-page":"5769","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. NeurIPS","volume":"30","author":"Gulrajani"},{"key":"ref18","article-title":"Which training methods for GANs do actually converge?","author":"Mescheder","year":"2018","journal-title":"arXiv:1801.04406"},{"key":"ref19","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3626235"},{"key":"ref22","article-title":"An overview of diffusion models: Applications, guided generation, statistical rates and optimization","author":"Chen","year":"2024","journal-title":"arXiv:2404.07771"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102846"},{"key":"ref24","article-title":"Medical diffusion: Denoising diffusion probabilistic models for 3D medical image generation","author":"Khader","year":"2022","journal-title":"arXiv:2211.03364"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI53787.2023.10230346"},{"key":"ref26","first-page":"1","article-title":"Three-dimensional medical image synthesis with denoising diffusion probabilistic models","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Dorjsembe"},{"key":"ref27","article-title":"RoentGen: Vision-language foundation model for chest X-ray generation","author":"Chambon","year":"2022","journal-title":"arXiv:2211.12737"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-18576-2_4"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-18576-2_12"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00204"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2024.3507008"},{"key":"ref32","article-title":"Mask, stitch, and re-sample: Enhancing robustness and generalizability in anomaly detection through automatic diffusion models","volume-title":"Proc. ICML Workshop","author":"Bercea"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_4"},{"key":"ref34","article-title":"Conversion between CT and MRI images using diffusion and score-matching models","author":"Lyu","year":"2022","journal-title":"arXiv:2209.12104"},{"key":"ref35","article-title":"A novel unified conditional score-based generative framework for multi-modal medical image completion","author":"Meng","year":"2022","journal-title":"arXiv:2207.03430"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3290149"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19821-2_20"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16431-6_51"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43999-5_62"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/42.796284"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1001779"},{"key":"ref46","article-title":"Bet: Brain extraction tool","author":"Smith","year":"2000"},{"key":"ref47","volume-title":"DeepAli: Image, Point Set, and Surface Registration in PyTorch"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102789"},{"key":"ref49","first-page":"1","article-title":"Learning diffeomorphic and modality-invariant registration using B-splines","volume-title":"Proc. MIDL","author":"Qiu"},{"key":"ref50","article-title":"Generative AI for medical imaging: Extending the MONAI framework","author":"Pinaya","year":"2023","journal-title":"arXiv:2307.15208"},{"key":"ref51","article-title":"Fast template matching","volume":"95","author":"Lewis","year":"1995","journal-title":"Vision Interface"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45468-3_69"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.1992.tb02073.x"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2006.05.018"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awn146"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-2010-1406"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000008673"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11328978\/11108960.pdf?arnumber=11108960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T18:35:46Z","timestamp":1767724546000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11108960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":57,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3595421","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}