{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:45:51Z","timestamp":1770846351709,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017607","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","award":["JCYJ20220531102407018"],"award-info":[{"award-number":["JCYJ20220531102407018"]}],"id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201355,62071303"],"award-info":[{"award-number":["62201355,62071303"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,15]]},"DOI":"10.1109\/bibm66473.2025.11356343","type":"proceedings-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T21:19:40Z","timestamp":1769721580000},"page":"2265-2272","source":"Crossref","is-referenced-by-count":0,"title":["Probabilistic Image Registration Framework Using Self-Normalized Importance Sampling with Variance Reduction"],"prefix":"10.1109","author":[{"given":"Yong","family":"Hua","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ad0d8a"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_26"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ad4c4f"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108785"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3108881"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/101"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897112"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.07.006"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3141119"},{"key":"ref11","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013","journal-title":"arXiv preprint"},{"key":"ref12","article-title":"Importance weighted autoencoders","author":"Burda","year":"2015","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-43999-5_55","article-title":"Importance weighted variational cardiac mri registration using transformer and implicit prior","volume-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","author":"Xu","year":"2023"},{"key":"ref14","article-title":"Differentiable annealed importance sampling and the perils of gradient noise","volume-title":"Proceedings of the 35th International Conference on Neural Information Processing Systems, ser. NIPS \u201921","author":"Zhang"},{"key":"ref15","volume-title":"Variational inference with locally enhanced bounds for hierarchical models","volume":"abs\/2203.04432","author":"Geffner","year":"2022"},{"key":"ref16","volume-title":"Monte carlo variational autoencoders","volume":"abs\/2106.15921","author":"Thin","year":"2021"},{"key":"ref17","first-page":"4277","article-title":"Tighter variational bounds are not necessarily better","volume-title":"International Conference on Machine Learning. PMLR","author":"Rainforth","year":"2018"},{"key":"ref18","article-title":"Reinterpreting importanceweighted autoencoders","author":"Cremer","year":"2017","journal-title":"arXiv preprint"},{"key":"ref19","first-page":"893","article-title":"Variational inference and model selection with generalized evidence bounds","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ser. Proceedings of Machine Learning Research","volume":"80","author":"Chen","year":"2018"},{"key":"ref20","first-page":"25412","article-title":"Collapsed variational bounds for bayesian neural networks","volume-title":"Advances in Neural Information Processing Systems","volume":"34","author":"Tomczak","year":"2021"},{"key":"ref21","article-title":"Doubly reparameterized gradient estimators for monte carlo objectives","author":"Tucker","year":"2018","journal-title":"arXiv preprint"},{"key":"ref22","article-title":"Importance weighting and variational inference","volume":"31","author":"Domke","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref23","article-title":"Sticking the landing: Simple, lower-variance gradient estimators for variational inference","volume":"30","author":"Roeder","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref24","first-page":"814","article-title":"Black box variational inference","author":"Ranganath","year":"2014","journal-title":"Artificial intelligence and statistics. PMLR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2007.12.003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.54294\/g80ruo"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3090082"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43999-5_60"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_82"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102036"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3288136"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106476"}],"event":{"name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Wuhan, China","start":{"date-parts":[[2025,12,15]]},"end":{"date-parts":[[2025,12,18]]}},"container-title":["2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11355913\/11355975\/11356343.pdf?arnumber=11356343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:53:14Z","timestamp":1770843194000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11356343\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,15]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bibm66473.2025.11356343","relation":{},"subject":[],"published":{"date-parts":[[2025,12,15]]}}}