{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:34:48Z","timestamp":1777566888277,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22B2052"],"award-info":[{"award-number":["U22B2052"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62027826"],"award-info":[{"award-number":["62027826"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["2022RG04"],"award-info":[{"award-number":["2022RG04"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3307215","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T17:32:03Z","timestamp":1692984723000},"page":"4880-4892","source":"Crossref","is-referenced-by-count":19,"title":["Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8991-4188","authenticated-orcid":false,"given":"Xin","family":"Fan","sequence":"first","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province and the DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7952-7021","authenticated-orcid":false,"given":"Zi","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province and the DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyang","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province and the DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province and the DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9554-0565","authenticated-orcid":false,"given":"Risheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province and the DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongxuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province and the DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9103-4382","authenticated-orcid":false,"given":"Hao","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Children&#x2019;s Hospital of Philadelphia, Philadelphia, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/101"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00450"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3135708"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2967589"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.006"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01070"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2820424"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2899947"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3115825"},{"key":"ref18","first-page":"3","article-title":"Hypermorph: Amortized hyperparameter learning for image registration","author":"hoopes","year":"2021","journal-title":"Proc Int Conf Inf Process Med Imag"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.09.025"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2011.09.005"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2013.78"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.10.055"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.316"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2005.06.003"},{"key":"ref43","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.11.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10404-1_25"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3019649"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref4","first-page":"804","article-title":"Learning conditional deformable templates with convolutional networks","author":"dalca","year":"2019","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.2009.21407"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2007.06.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2265603"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2012.05.008"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3115672"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3140611"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00428"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00418"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_74"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00720"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3078079"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2799706"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-8415(01)80026-8"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.07.007"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00578"},{"key":"ref24","first-page":"2020","article-title":"Neural architecture search with Bayesian optimisation and optimal transport","volume":"31","author":"kandasamy","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref26","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2019","journal-title":"Proc ICLR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01166"},{"key":"ref20","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00866"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"ref27","first-page":"7603","article-title":"Bayesnas: A Bayesian approach for neural architecture search","author":"zhou","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3028288"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10231109.pdf?arnumber=10231109","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:43:25Z","timestamp":1695667405000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10231109\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3307215","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}