{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:10:16Z","timestamp":1758636616969,"version":"3.41.0"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T00:00:00Z","timestamp":1733702400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T00:00:00Z","timestamp":1733702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No.71872034","No.71901053"],"award-info":[{"award-number":["No.71872034","No.71901053"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Key Projects of Social Science Planning Foundation of Liaoning Province","award":["No.L23AGL008"],"award-info":[{"award-number":["No.L23AGL008"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1007\/s00521-024-10585-5","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T19:36:55Z","timestamp":1733773015000},"page":"13251-13266","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An unsupervised medical image registration network for intelligent medical education"],"prefix":"10.1007","volume":"37","author":[{"given":"Ke","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Mu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiantian","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqi","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,9]]},"reference":[{"key":"10585_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1472-6963-7-119","volume":"7","author":"G Flores-Mateo","year":"2007","unstructured":"Flores-Mateo G, Argimon JM (2007) Evidence based practice in postgraduate healthcare education: a systematic review. BMC Health Serv Res 7:1\u20138","journal-title":"BMC Health Serv Res"},{"issue":"3","key":"10585_CR2","first-page":"133","volume":"11","author":"MM Mir","year":"2023","unstructured":"Mir MM, Mir GM, Raina NT, Mir SM, Mir SM, Miskeen E, Alharthi MH, Alamri MMS (2023) Application of artificial intelligence in medical education: current scenario and future perspectives. J Adv Med Educ Prof 11(3):133","journal-title":"J Adv Med Educ Prof"},{"key":"10585_CR3","first-page":"298","volume":"13437","author":"M Mallya","year":"2022","unstructured":"Mallya M, Hamarneh G (2022) Deep multimodal guidance for medical image classification. Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci 13437:298\u2013308","journal-title":"Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci"},{"issue":"7","key":"10585_CR4","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1109\/42.932742","volume":"20","author":"GE Christensen","year":"2001","unstructured":"Christensen GE, Johnson HJ (2001) Consistent image registration. IEEE Trans Med Imaging 20(7):568\u2013582","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"10585_CR5","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/42.796284","volume":"18","author":"D Rueckert","year":"1999","unstructured":"Rueckert D, Sonoda LI, Hayes C, Hill DL, Leach MO, Hawkes DJ (1999) Nonrigid registration using free-form deformations: application to breast mr images. IEEE Trans Med Imaging 18(8):712\u2013721","journal-title":"IEEE Trans Med Imaging"},{"issue":"12","key":"10585_CR6","doi-asserted-by":"publisher","first-page":"2887","DOI":"10.1088\/0031-9155\/50\/12\/011","volume":"50","author":"H Wang","year":"2005","unstructured":"Wang H, Dong L, O\u2019Daniel J, Mohan R, Garden AS, Ang KK, Kuban DA, Bonnen M, Chang JY, Cheung R (2005) Validation of an accelerated \u2018demons\u2019 algorithm for deformable image registration in radiation therapy. Phys Med & Biol 50(12):2887","journal-title":"Phys Med & Biol"},{"key":"10585_CR7","doi-asserted-by":"crossref","unstructured":"Mok TCW, Chung ACS (2022) Affine medical image rregistration with coarse-to-fine vision transformer. In: Proceedings of the IEEE conference on computer vision and pattern recognition, 20803\u201320812","DOI":"10.1109\/CVPR52688.2022.02017"},{"key":"10585_CR8","volume-title":"Optimal registration of deformed images","author":"C Broit","year":"1981","unstructured":"Broit C (1981) Optimal registration of deformed images. University of Pennsylvania"},{"issue":"3","key":"10585_CR9","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1016\/j.neuroimage.2008.12.037","volume":"46","author":"A Klein","year":"2009","unstructured":"Klein A, Andersson JLR, Ardekani BA, Ashburner J, Avants BB, Chiang M, Christensen GE, Collins DL, Gee JC, Hellier P, Song JH, Jenkinson M, Lepage C, Rueckert D, Thompson PM, Vercauteren T, Woods RP, Mann JJ, Parsey RV (2009) Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 46(3):786\u2013802","journal-title":"Neuroimage"},{"issue":"11","key":"10585_CR10","doi-asserted-by":"publisher","first-page":"2118","DOI":"10.1109\/TMI.2014.2332370","volume":"33","author":"A Gruslys","year":"2014","unstructured":"Gruslys A, Acosta-Cabronero J, Nestor PJ, Williams GB, Ansorge RE (2014) A new fast accurate nonlinear nedical image registration program including surface preserving regularization. IEEE Trans Med Imaging 33(11):2118\u20132127","journal-title":"IEEE Trans Med Imaging"},{"key":"10585_CR11","doi-asserted-by":"crossref","unstructured":"Lombaert H, Grady LJ, Pennec X, Peyrat J, Ayache N, Cheriet F (2012) Groupwise spectral log-demons framework for atlas construction. In: international conference on medical image computing and computer assisted intervention. Lecture Notes Comput Sci, vol. 7766","DOI":"10.1007\/978-3-642-36620-8_2"},{"key":"10585_CR12","unstructured":"Chee E, Wu Z (2018) Airnet: self-supervised affine registration for 3d medical images using neural networks. CoRR arxiv:abs\/1810.02583"},{"key":"10585_CR13","first-page":"48","volume":"10008","author":"X Yang","year":"2016","unstructured":"Yang X, Kwitt R, Niethammer M (2016) Fast predictive image registration. Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci 10008:48\u201357","journal-title":"Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci"},{"key":"10585_CR14","doi-asserted-by":"publisher","first-page":"4880","DOI":"10.1109\/TIP.2023.3307215","volume":"32","author":"X Fan","year":"2023","unstructured":"Fan X, Li Z, Li Z, Wang X, Liu R, Luo Z, Huang H (2023) Automated learning for deformable medical image registration by jointly optimizing network architectures and objective functions. IEEE Trans Image Process 32:4880\u20134892","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"10585_CR15","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1109\/TMI.2023.3299588","volume":"43","author":"C Gao","year":"2024","unstructured":"Gao C, Feng A, Liu X, Taylor RH, Armand M, Unberath M (2024) A fully differentiable framework for 2d\/3d registration and the projective spatial transformers. IEEE Trans Med Imaging 43(1):275\u2013285","journal-title":"IEEE Trans Med Imaging"},{"key":"10585_CR16","first-page":"729","volume":"11070","author":"AV Dalca","year":"2018","unstructured":"Dalca AV, Balakrishnan G, Guttag JV, Sabuncu MR (2018) Unsupervised learning for fast probabilistic diffeomorphic registration. Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci 11070:729\u2013738","journal-title":"Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci"},{"key":"10585_CR17","first-page":"217","volume":"13436","author":"J Shi","year":"2022","unstructured":"Shi J, He Y, Kong Y, Coatrieux J, Shu H, Yang G, Li S (2022) Xmorpher: full transformer for deformable medical image registration via cross attention. Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci 13436:217\u2013226","journal-title":"Int Conf Med Image Comput Comput Assist Interv Lect Notes Comput Sci"},{"key":"10585_CR18","doi-asserted-by":"crossref","unstructured":"Dong Q, Du H, Song Y, Xu Y, Liao J (2023) Preserving tumor volumes for unsupervised medical image registration. In: IEEE\/CVF International Conference on Computer Vision, pp. 21151\u201321161","DOI":"10.1109\/ICCV51070.2023.01939"},{"issue":"1","key":"10585_CR19","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1109\/TMI.2023.3288136","volume":"43","author":"Z Chen","year":"2024","unstructured":"Chen Z, Zheng Y, Gee JC (2024) Transmatch: A transformer-based multilevel dual-stream feature matching network for unsupervised deformable image registration. IEEE Trans Med Imaging 43(1):15\u201327","journal-title":"IEEE Trans Med Imaging"},{"key":"10585_CR20","doi-asserted-by":"publisher","first-page":"126409","DOI":"10.1016\/j.neucom.2023.126409","volume":"548","author":"J Mu","year":"2023","unstructured":"Mu J, Zhang X, Du Y, Hu Y, Liu H, Xu J (2023) Bcrnet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems. Neurocomputing 548:126409","journal-title":"Neurocomputing"},{"key":"10585_CR21","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.comcom.2021.08.016","volume":"178","author":"J Mu","year":"2021","unstructured":"Mu J, Zhang X, Li Y, Guo J (2021) Deep neural network for text anomaly detection in siot. Comput Commun 178:286\u2013296","journal-title":"Comput Commun"},{"key":"10585_CR22","doi-asserted-by":"publisher","unstructured":"Mu J, Nie F, Wang W, Xu J, Zhang J, Liu H (2023) Mocolnet: A momentum contrastive learning network for multimodal aspect-level sentiment analysis. In: IEEE transactions on knowledge data engineering, 1\u201314 https:\/\/doi.org\/10.1109\/TKDE.2023.3345022","DOI":"10.1109\/TKDE.2023.3345022"},{"key":"10585_CR23","unstructured":"Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. In: International conference on learning Representations"},{"key":"10585_CR24","unstructured":"Chorowski J, Bahdanau D, Cho K, Bengio Y (2014) End-to-end continuous speech recognition using attention-based recurrent NN: first results. CoRR arxiv:abs\/1412.1602"},{"key":"10585_CR25","doi-asserted-by":"crossref","unstructured":"Li H, Chen J, Hu R, Yu M, Chen H, Xu Z (2019) Action recognition using visual attention with reinforcement learning. In: International conference on multiMedia modeling. Lecture Notes in Computer Science, vol. 11296, pp. 365\u2013376","DOI":"10.1007\/978-3-030-05716-9_30"},{"key":"10585_CR26","unstructured":"Kim J, Jun J, Zhang B (2018) Bilinear attention networks. In: Advances in Neural Information Processing Systems, pp. 1571\u20131581"},{"key":"10585_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/J.INFFUS.2023.102147","volume":"103","author":"H Li","year":"2024","unstructured":"Li H, Wu X (2024) Crossfuse: a novel cross attention mechanism based infrared and visible image fusion approach. Inf Fusion 103:102147. https:\/\/doi.org\/10.1016\/J.INFFUS.2023.102147","journal-title":"Inf Fusion"},{"key":"10585_CR28","doi-asserted-by":"publisher","first-page":"1326","DOI":"10.1109\/TIP.2022.3197972","volume":"33","author":"Z Shi","year":"2024","unstructured":"Shi Z, Zhang T, Wei X, Wu F, Zhang Y (2024) Decoupled cross-modal phrase-attention network for image-sentence matching. IEEE Trans Image Process 33:1326\u20131337","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"10585_CR29","doi-asserted-by":"publisher","first-page":"3859","DOI":"10.1109\/TNNLS.2022.3200480","volume":"35","author":"R Liang","year":"2024","unstructured":"Liang R, Zhang Q, Wang J, Lu J (2024) A hierarchical attention network for cross-domain group recommendation. IEEE Trans Neural Networks Learn Syst 35(3):3859\u20133873. https:\/\/doi.org\/10.1109\/TNNLS.2022.3200480","journal-title":"IEEE Trans Neural Networks Learn Syst"},{"key":"10585_CR30","unstructured":"Hjelm RD, Fedorov A, Lavoie-Marchildon S, Grewal K, Bachman P, Trischler A, Bengio Y (2019) Learning deep representations by mutual information estimation and maximization. In: International Conference on Learning Representations"},{"key":"10585_CR31","unstructured":"Nowozin S, Cseke B, Tomioka R (2016) f-gan: training generative neural samplers using variational divergence minimization. In: Advances in Neural Information Processing Systems, pp. 271\u2013279"},{"issue":"9","key":"10585_CR32","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1162\/jocn.2007.19.9.1498","volume":"19","author":"DS Marcus","year":"2007","unstructured":"Marcus DS, Wang TH, Parker J, Csernansky JG, Morris JC, Buckner RL (2007) Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J Cogn Neurosci 19(9):1498\u20131507","journal-title":"J Cogn Neurosci"},{"issue":"3","key":"10585_CR33","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1016\/j.neuroimage.2007.09.031","volume":"39","author":"DW Shattuck","year":"2008","unstructured":"Shattuck DW, Mirza M, Adisetiyo V, Hojatkashani C, Salamon G, Narr K, Poldrack RA, Bilder RM, Toga AW (2008) Construction of a 3d probabilistic atlas of human cortical structures. Neuroimage 39(3):1064\u20131080","journal-title":"Neuroimage"},{"issue":"2","key":"10585_CR34","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"B Fischl","year":"2012","unstructured":"Fischl B (2012) Freesurfer. Neuroimage 62(2):774\u2013781","journal-title":"Neuroimage"},{"key":"10585_CR35","doi-asserted-by":"crossref","unstructured":"Grabner G, Janke AL, Budge MM, Smith D, Pruessner JC, Collins DL (2006) Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults. In: international conference on medical image computing and computer assisted intervention. Lecture Notes in Computer Science, vol. 4191, pp. 58\u201366","DOI":"10.1007\/11866763_8"},{"key":"10585_CR36","doi-asserted-by":"publisher","first-page":"13","DOI":"10.3389\/fninf.2014.00013","volume":"8","author":"M McCormick","year":"2014","unstructured":"McCormick M, Liu X, Ib\u00e1\u00f1ez L, Jomier J, Marion C (2014) ITK: enabling reproducible research and open science. Front Neuroinform 8:13","journal-title":"Front Neuroinform"},{"issue":"365","key":"10585_CR37","first-page":"1","volume":"2","author":"BB Avants","year":"2009","unstructured":"Avants BB, Tustison N, Song G et al (2009) Advanced normalization tools (ants). Insight J 2(365):1\u201335","journal-title":"Insight J"},{"issue":"1","key":"10585_CR38","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TMI.2009.2035616","volume":"29","author":"S Klein","year":"2010","unstructured":"Klein S, Staring M, Murphy K, Viergever MA, Pluim JPW (2010) elastix: A toolbox for intensity-based medical image registration. IEEE Trans Med Imaging 29(1):196\u2013205","journal-title":"IEEE Trans Med Imaging"},{"key":"10585_CR39","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.media.2018.11.010","volume":"52","author":"BD Vos","year":"2019","unstructured":"Vos BD, Berendsen FF, Viergever MA, Sokooti H, Staring M, Isgum I (2019) A deep learning framework for unsupervised affine and deformable image registration. Med Image Anal 52:128\u2013143","journal-title":"Med Image Anal"},{"issue":"5","key":"10585_CR40","doi-asserted-by":"publisher","first-page":"1394","DOI":"10.1109\/JBHI.2019.2951024","volume":"24","author":"S Zhao","year":"2020","unstructured":"Zhao S, Lau TF, Luo J, Chang EI, Xu Y (2020) Unsupervised 3d end-to-end medical image registration with volume tweening network. IEEE J Biomed Health Inform 24(5):1394\u20131404","journal-title":"IEEE J Biomed Health Inform"},{"key":"10585_CR41","doi-asserted-by":"crossref","unstructured":"Zhao S, Dong Y, Chang EI, Xu Y (2019) Recursive cascaded networks for unsupervised medical image registration. In: international conference on computer vision, pp. 10599\u201310609","DOI":"10.1109\/ICCV.2019.01070"},{"issue":"3","key":"10585_CR42","doi-asserted-by":"publisher","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","volume":"54","author":"BB Avants","year":"2011","unstructured":"Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC (2011) A reproducible evaluation of ants similarity metric performance in brain image registration. Neuroimage 54(3):2033\u20132044","journal-title":"Neuroimage"},{"key":"10585_CR43","doi-asserted-by":"crossref","unstructured":"Marstal K, Berendsen FF, Staring M, Klein S (2016) Simpleelastix: A user-friendly, multi-lingual library for medical image registration. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 574\u2013582","DOI":"10.1109\/CVPRW.2016.78"},{"issue":"9","key":"10585_CR44","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1109\/34.232073","volume":"15","author":"DP Huttenlocher","year":"1993","unstructured":"Huttenlocher DP, Klanderman GA, Rucklidge W (1993) Comparing images using the hausdorff distance. IEEE Trans Pattern Anal Mach Intell 15(9):850\u2013863","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10585-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-10585-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10585-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T08:29:24Z","timestamp":1751012964000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-10585-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,9]]},"references-count":44,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["10585"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-10585-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2024,12,9]]},"assertion":[{"value":"28 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}