{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T21:56:52Z","timestamp":1769551012883,"version":"3.49.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227329","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Test Time Training for 4D Medical Image Interpolation"],"prefix":"10.1109","author":[{"given":"Qikang","family":"Zhang","sequence":"first","affiliation":[{"name":"South China Normal University,Aberdeen Institution of Data Science and Artificial Intelligence,Foshan,China"}]},{"given":"Yingjie","family":"Lei","sequence":"additional","affiliation":[{"name":"South China Normal University,Aberdeen Institution of Data Science and Artificial Intelligence,Foshan,China"}]},{"given":"Zihao","family":"Zheng","sequence":"additional","affiliation":[{"name":"South China Normal University,Aberdeen Institution of Data Science and Artificial Intelligence,Foshan,China"}]},{"given":"Ziyang","family":"Chen","sequence":"additional","affiliation":[{"name":"South China Normal University,Aberdeen Institution of Data Science and Artificial Intelligence,Foshan,China"}]},{"given":"Zhonghao","family":"Xie","sequence":"additional","affiliation":[{"name":"South China Normal University,Aberdeen Institution of Data Science and Artificial Intelligence,Foshan,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00478"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3318127"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102615"},{"key":"ref4","article-title":"Fourier-net+: Leveraging band-limited representation for efficient 3d medical image registration","author":"Jia","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102917"},{"key":"ref6","first-page":"1349","article-title":"Implicit neural representations for deformable image registration","volume-title":"Proceedings of The 5th International Conference on Medical Imaging with Deep Learning","volume":"172","author":"Wolterink"},{"key":"ref7","first-page":"9229","article-title":"Test-time training with self-supervision for generalization under distribution shifts","volume-title":"International conference on machine learning","author":"Sun"},{"key":"ref8","article-title":"Unsupervised domain adaptation through self-supervision","author":"Sun","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16431-6_51"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01079"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02181-w"},{"key":"ref14","first-page":"29374","article-title":"Test-time training with masked autoencoders","volume":"35","author":"Gandelsman","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00395"},{"key":"ref16","article-title":"Test-time training for matching-based video object segmentation","volume-title":"Thirty-seventh Conference on Neural Information Processing Systems","author":"Bertrand"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101539"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78191-0_51"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref21","article-title":"Unsupervised representation learning by predicting image rotations","author":"Gidaris","year":"2018"},{"key":"ref22","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Chen"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","location":"Rome, Italy","start":{"date-parts":[[2025,6,30]]},"end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227329.pdf?arnumber=11227329","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:54:19Z","timestamp":1763193259000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227329\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227329","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}