{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:19:39Z","timestamp":1783120779791,"version":"3.54.6"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100018904","name":"Beijing Xisike Clinical Oncology Research Foundation","doi-asserted-by":"publisher","award":["Y-Young2023-0156"],"award-info":[{"award-number":["Y-Young2023-0156"]}],"id":[{"id":"10.13039\/100018904","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018904","name":"Beijing Xisike Clinical Oncology Research Foundation","doi-asserted-by":"publisher","award":["Y-Young2024-0538"],"award-info":[{"award-number":["Y-Young2024-0538"]}],"id":[{"id":"10.13039\/100018904","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003851","name":"Heilongjiang Province Department of Education","doi-asserted-by":"publisher","award":["NO.YQJH2024072"],"award-info":[{"award-number":["NO.YQJH2024072"]}],"id":[{"id":"10.13039\/501100003851","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011844","name":"Heilongjiang Province Science and Technology Department","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["PL2024F017"],"award-info":[{"award-number":["PL2024F017"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["NO.PL2024F017"],"award-info":[{"award-number":["NO.PL2024F017"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018598","name":"Guangdong Esophageal Cancer Research Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018598","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.bspc.2026.110495","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T23:41:11Z","timestamp":1777592471000},"page":"110495","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["DAPR-Net: Symmetric Dual-Stream Pyramid Architecture for Non-Rigid Brain MRI Registration"],"prefix":"10.1016","volume":"122","author":[{"given":"Xin","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runhan","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liwei","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sijuan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.bspc.2026.110495_b0005","doi-asserted-by":"crossref","first-page":"786","DOI":"10.3390\/bioengineering11080786","article-title":"A review of medical image registration for different modalities [J]","volume":"11","author":"Darzi","year":"2024","journal-title":"Bioengineering"},{"key":"10.1016\/j.bspc.2026.110495_b0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103385","article-title":"A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond [J]","volume":"100","author":"Chen","year":"2025","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.bspc.2026.110495_b0015","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","article-title":"Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain [J]","volume":"12","author":"Avants","year":"2008","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110495_b0020","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1016\/j.neuroimage.2013.04.114","article-title":"LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm [J]","volume":"81","author":"Lorenzi","year":"2013","journal-title":"Neuroimage"},{"issue":"8","key":"10.1016\/j.bspc.2026.110495_b0025","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1016\/S0031-3203(98)80010-1","article-title":"New algorithms for 2D and 3D point matching: pose estimation and correspondence [J]","volume":"31","author":"Gold","year":"1998","journal-title":"Pattern Recogn."},{"key":"10.1016\/j.bspc.2026.110495_b0030","doi-asserted-by":"crossref","unstructured":"LEORDEANU M, HEBERT M. A spectral technique for correspondence problems using pairwise constraints [C]. Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, F, 2005. IEEE: 1482-1489.","DOI":"10.1109\/ICCV.2005.20"},{"key":"10.1016\/j.bspc.2026.110495_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102036","article-title":"CycleMorph: cycle consistent unsupervised deformable image registration [J]","volume":"71","author":"Kim","year":"2021","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110495_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103212","article-title":"CMAN: cascaded multi-scale spatial channel attention-guided network for large 3D deformable registration of liver CT images [J]","volume":"96","author":"Pham","year":"2024","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110495_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.mri.2025.110449","article-title":"Hierarchical refinement with adaptive deformation cascaded for multi-scale medical image registration [J]","volume":"122","author":"Hussain","year":"2025","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.bspc.2026.110495_b0050","doi-asserted-by":"crossref","unstructured":"SIEGERT L, FISCHER P, HEINRICH M P, et al. PULPo: probabilistic unsupervised laplacian pyramid registration [C]. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Marrakesh\/MOROCCO, F, 2024. Springer: 717-727.","DOI":"10.1007\/978-3-031-72069-7_67"},{"issue":"3","key":"10.1016\/j.bspc.2026.110495_b0055","doi-asserted-by":"crossref","first-page":"2170","DOI":"10.1109\/TPAMI.2025.3622041","article-title":"High-resolution photo enhancement in real-time: a laplacian pyramid network [J]","volume":"48","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"10.1016\/j.bspc.2026.110495_b0060","doi-asserted-by":"crossref","DOI":"10.1117\/1.JBO.29.6.066007","article-title":"Deformable multi-modal image registration for the correlation between optical measurements and histology images [J]","volume":"29","author":"Feenstra","year":"2024","journal-title":"J. Biomed. Opt."},{"issue":"8","key":"10.1016\/j.bspc.2026.110495_b0065","doi-asserted-by":"crossref","first-page":"1788","DOI":"10.1109\/TMI.2019.2897538","article-title":"Voxelmorph: a learning framework for deformable medical image registration [J]","volume":"38","author":"Balakrishnan","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.bspc.2026.110495_b0070","doi-asserted-by":"crossref","unstructured":"RONNEBERGER O, FISCHER P, BROX T. U-net: convolutional networks for biomedical image segmentation [C]. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Munich,Germany, F, 2015. Springer: 234-241.","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"6","key":"10.1016\/j.bspc.2026.110495_b0075","doi-asserted-by":"crossref","first-page":"2229","DOI":"10.1109\/TMI.2024.3362968","article-title":"Recursive deformable pyramid network for unsupervised medical image registration [J]","volume":"43","author":"Wang","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.bspc.2026.110495_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.mri.2025.110386","article-title":"Deformable image registration with strategic integration pyramid framework for brain MRI [J]","volume":"120","author":"Zhang","year":"2025","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.bspc.2026.110495_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102615","article-title":"Transmorph: transformer for unsupervised medical image registration [J]","volume":"82","author":"Chen","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110495_b0090","doi-asserted-by":"crossref","unstructured":"MENG M, BI L, FULHAM M, et al. Non-iterative coarse-to-fine transformer networks for joint affine and deformable image registration [C]. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Vancouver, BC, Canada, F, 2023. Springer: 750-760.","DOI":"10.1007\/978-3-031-43999-5_71"},{"key":"10.1016\/j.bspc.2026.110495_b0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.107990","article-title":"BCSwinReg: a cross-modal attention network for CBCT-to-CT multimodal image registration [J]","volume":"171","author":"Zhang","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.bspc.2026.110495_b0100","doi-asserted-by":"crossref","unstructured":"GHAHREMANI M, KHATERI M, JIAN B, et al. H-vit: a hierarchical vision transformer for deformable image registration [C]. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Seattle WA, US, F, 2024. 11513-11523.","DOI":"10.1109\/CVPR52733.2024.01094"},{"key":"10.1016\/j.bspc.2026.110495_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.107858","article-title":"FDR-TransUNet: a novel encoder-decoder architecture with vision transformer for improved medical image segmentation [J]","volume":"169","author":"Chaoyang","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.bspc.2026.110495_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111338","article-title":"Autofuse: automatic fusion networks for deformable medical image registration [J]","volume":"161","author":"Meng","year":"2025","journal-title":"Pattern Recogn."},{"key":"10.1016\/j.bspc.2026.110495_b0115","article-title":"ModeTv2: GPU-accelerated motion decomposition transformer for pairwise optimization in medical image registration [J]","volume":"103862","author":"Wang","year":"2025","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110495_b0120","doi-asserted-by":"crossref","unstructured":"WANG Z, LEI L, XI F. Affine registration for medical images via coarse-to-fine swin transformer [C]. Proceedings of the Sixteenth International Conference on Signal Processing Systems (ICSPS 2024), Kunming, China, F, 2025. SPIE: 1768-1778.","DOI":"10.1117\/12.3061028"},{"key":"10.1016\/j.bspc.2026.110495_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.107897","article-title":"Equivariance and motion-enhanced neighborhood attention-based pyramid network for 3D deformable medical image registration [J]","volume":"108","author":"Wang","year":"2025","journal-title":"Biomed. Signal Process. Control"},{"issue":"1","key":"10.1016\/j.bspc.2026.110495_b0130","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1109\/TMI.2023.3288136","article-title":"TransMatch: a transformer-based multilevel dual-stream feature matching network for unsupervised deformable image registration [J]","volume":"43","author":"Chen","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.bspc.2026.110495_b0135","doi-asserted-by":"crossref","unstructured":"GUO M-H, LU C-Z, HOU Q, et al. Segnext: rethinking convolutional attention design for semantic segmentation [J]. Advances in Neural Information Processing Systems, 2022, 35: 1140-1156.","DOI":"10.52202\/068431-0084"},{"issue":"3","key":"10.1016\/j.bspc.2026.110495_b0140","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1016\/j.neuroimage.2007.09.031","article-title":"Construction of a 3D probabilistic atlas of human cortical structures [J]","volume":"39","author":"Shattuck","year":"2008","journal-title":"Neuroimage"},{"issue":"2","key":"10.1016\/j.bspc.2026.110495_b0145","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"FreeSurfer [J]","volume":"62","author":"Fischl","year":"2012","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.bspc.2026.110495_b0150","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1016\/j.neuroimage.2008.12.037","article-title":"Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration [J]","volume":"46","author":"Klein","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.bspc.2026.110495_b0155","doi-asserted-by":"crossref","unstructured":"SHI J, HE Y, KONG Y, et al. Xmorpher: full transformer for deformable medical image registration via cross attention [C]. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Singapore, Singapore, F, 2022. Springer: 217-226.","DOI":"10.1007\/978-3-031-16446-0_21"},{"key":"10.1016\/j.bspc.2026.110495_b0160","doi-asserted-by":"crossref","unstructured":"WANG H, NI D, WANG Y. ModeT: learning deformable image registration via motion decomposition transformer [C]. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, Vancouver, BC, F, 2023. Springer: 740-749.","DOI":"10.1007\/978-3-031-43999-5_70"},{"key":"10.1016\/j.bspc.2026.110495_b0165","doi-asserted-by":"crossref","unstructured":"LIU Y, ZUO L, HAN S, et al. Coordinate translator for learning deformable medical image registration [C]. Proceedings of the International Workshop on Multiscale Multimodal Medical Imaging, Shenzhen, China, F, 2022. Springer: 98-109.","DOI":"10.1007\/978-3-031-18814-5_10"},{"key":"10.1016\/j.bspc.2026.110495_b0170","doi-asserted-by":"crossref","unstructured":"WANG Z, WANG H, WANG Y. Pyramid attention network for medical image registration [C]. Proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), F, 2024. IEEE: 1-5.","DOI":"10.1109\/ISBI56570.2024.10635156"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426010499?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426010499?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T22:33:32Z","timestamp":1783118012000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426010499"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":34,"alternative-id":["S1746809426010499"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110495","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DAPR-Net: Symmetric Dual-Stream Pyramid Architecture for Non-Rigid Brain MRI Registration","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110495","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110495"}}