{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T14:29:31Z","timestamp":1747319371334,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"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":[[2021,4,13]]},"DOI":"10.1109\/isbi48211.2021.9433835","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T20:14:15Z","timestamp":1621973655000},"page":"908-912","source":"Crossref","is-referenced-by-count":3,"title":["A New Unsupervised Learning Method for 3D Deformable Medical Image Registration"],"prefix":"10.1109","author":[{"given":"Yongpei","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zicong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guojun","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kehong","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"’squeeze and excite’ guided few-shot segmentation of volumetric images","author":"roy","year":"2019","journal-title":"arXiv preprint arXiv 1902 05023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_22"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.2580815"},{"key":"ref14","first-page":"2","article-title":"New variational method of grid generation with prescribed jacobian determinant and prescribed curl","author":"chen","year":"2015"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1117\/12.2550030","article-title":"New loss functions for medical image registration based on voxelmorph","author":"zhu","year":"2020","journal-title":"Proceedings of SPIE 11313 Medical Imaging 2020 Image Processing 113132E (10 March 2020)"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jalz.2005.06.003","article-title":"Ways toward an early diagnosis in alzheimers disease: the alzheimers disease neuroimaging initiative (adni)","volume":"1","author":"susanne","year":"2005","journal-title":"Alzheimer's & Dementia"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2011.09.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"journal-title":"Keras","year":"2015","author":"francois","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00964"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_24"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_82"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.006"},{"key":"ref2","article-title":"Deep pose estimation for image-based registration","author":"hou","year":"2018","journal-title":"MIDL"},{"key":"ref1","article-title":"Unsupervised deformable image registration with fully connected generative neural network","author":"sheikhjafari","year":"2018","journal-title":"MIDL"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref20","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"martin","year":"2016","journal-title":"arXiv preprint arXiv 1603 04467"},{"key":"ref21","article-title":"Adam: A method for stochastic optimization","author":"diederik","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"}],"event":{"name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2021,4,13]]},"location":"Nice, France","end":{"date-parts":[[2021,4,16]]}},"container-title":["2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9433749\/9433753\/09433835.pdf?arnumber=9433835","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:33Z","timestamp":1652197293000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9433835\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/isbi48211.2021.9433835","relation":{},"subject":[],"published":{"date-parts":[[2021,4,13]]}}}