{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:44:51Z","timestamp":1742913891020,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819601219"},{"type":"electronic","value":"9789819601226"}],"license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0122-6_23","type":"book-chapter","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T18:23:59Z","timestamp":1731781439000},"page":"258-270","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AffViT: Fast Affine Medical Image Registration with\u00a0Convolutional Vision Transformer"],"prefix":"10.1007","author":[{"given":"Chaomin","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongyi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"issue":"1","key":"23_CR1","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","volume":"12","author":"B Avants","year":"2008","unstructured":"Avants, B., Epstein, C., Grossman, M., Gee, J.: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal. 12(1), 26\u201341 (2008). https:\/\/doi.org\/10.1016\/j.media.2007.06.004","journal-title":"Med. Image Anal."},{"issue":"365","key":"23_CR2","first-page":"1","volume":"2","author":"BB Avants","year":"2009","unstructured":"Avants, B.B., Tustison, N., Song, G., et al.: Advanced normalization tools (ANTS). Insight J. 2(365), 1\u201335 (2009)","journal-title":"Insight J."},{"issue":"8","key":"23_CR3","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1109\/TMI.2019.2897538","volume":"38","author":"G Balakrishnan","year":"2019","unstructured":"Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: VoxelMorph: a learning framework for deformable medical image registration. IEEE Trans. Med. Imaging 38(8), 1788\u20131800 (2019). https:\/\/doi.org\/10.1109\/TMI.2019.2897538","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10","key":"23_CR4","doi-asserted-by":"publisher","first-page":"1783","DOI":"10.1016\/S0031-3203(98)00178-2","volume":"32","author":"G Bebis","year":"1999","unstructured":"Bebis, G., Georgiopoulos, M., da Vitoria Lobo, N., Shah, M.: Learning affine transformations. Pattern Recogn. 32(10), 1783\u20131799 (1999). https:\/\/doi.org\/10.1016\/S0031-3203(98)00178-2","journal-title":"Pattern Recogn."},{"key":"23_CR5","doi-asserted-by":"publisher","first-page":"102615","DOI":"10.1016\/j.media.2022.102615","volume":"82","author":"J Chen","year":"2022","unstructured":"Chen, J., Frey, E.C., He, Y., Segars, W.P., Li, Y., Du, Y.: TransMorph: transformer for unsupervised medical image registration. Med. Image Anal. 82, 102615 (2022). https:\/\/doi.org\/10.1016\/j.media.2022.102615","journal-title":"Med. Image Anal."},{"key":"23_CR6","doi-asserted-by":"publisher","unstructured":"Chen, J., He, Y., Frey, E.C., Li, Y., Du, Y.: Vit-V-Net: Vision Transformer for unsupervised volumetric medical image registration. arXiv preprint arXiv:2104.06468 (2021). https:\/\/doi.org\/10.48550\/arXiv.2104.06468","DOI":"10.48550\/arXiv.2104.06468"},{"key":"23_CR7","doi-asserted-by":"publisher","unstructured":"Dalca, A.V., Balakrishnan, G., Guttag, J., Sabuncu, M.R.: Unsupervised learning for fast probabilistic diffeomorphic registration. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, pp. 729\u2013738. Springer (2018). https:\/\/doi.org\/10.1007\/978-3-030-00928-1_82","DOI":"10.1007\/978-3-030-00928-1_82"},{"key":"23_CR8","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1109\/JBHI.2019.2951024","volume":"52","author":"BD De Vos","year":"2019","unstructured":"De Vos, B.D., Berendsen, F.F., Viergever, M.A., Sokooti, H., Staring, M., I\u0161gum, I.: A deep learning framework for unsupervised affine and deformable image registration. Med. Image Anal. 52, 128\u2013143 (2019). https:\/\/doi.org\/10.1109\/JBHI.2019.2951024","journal-title":"Med. Image Anal."},{"key":"23_CR9","unstructured":"Dosovitskiy, A., et\u00a0al.: An image is worth 16x16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"issue":"2","key":"23_CR10","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1016\/j.neuroimage.2012.01.024","volume":"62","author":"AC Evans","year":"2012","unstructured":"Evans, A.C., Janke, A.L., Collins, D.L., Baillet, S.: Brain templates and atlases. Neuroimage 62(2), 911\u2013922 (2012)","journal-title":"Neuroimage"},{"key":"23_CR11","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.media.2017.04.010","volume":"39","author":"E Ferrante","year":"2017","unstructured":"Ferrante, E., Paragios, N.: Slice-to-volume medical image registration: a survey. Med. Image Anal. 39, 101\u2013123 (2017). https:\/\/doi.org\/10.1016\/j.media.2017.04.010","journal-title":"Med. Image Anal."},{"key":"23_CR12","doi-asserted-by":"publisher","unstructured":"Fischl, B.: Freesurfer. NeuroImage 62(2), 774\u2013781 (2012). https:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.021","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"issue":"1","key":"23_CR13","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/TPAMI.2022.3152247","volume":"45","author":"K Han","year":"2022","unstructured":"Han, K., et al.: A survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1), 87\u2013110 (2022). https:\/\/doi.org\/10.1109\/TPAMI.2022.3152247","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"23_CR14","doi-asserted-by":"publisher","unstructured":"Jia, X., Bartlett, J., Zhang, T., Lu, W., Qiu, Z., Duan, J.: U-Net vs transformer: Is U-Net outdated in medical image registration? In: International Workshop on Machine Learning in Medical Imaging, pp. 151\u2013160. Springer (2022). https:\/\/doi.org\/10.1007\/978-3-031-21014-3_16","DOI":"10.1007\/978-3-031-21014-3_16"},{"key":"23_CR15","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"issue":"1","key":"23_CR16","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TMI.2009.2035616","volume":"29","author":"S Klein","year":"2009","unstructured":"Klein, S., Staring, M., Murphy, K., Viergever, M.A., Pluim, J.P.: Elastix: a toolbox for intensity-based medical image registration. IEEE Trans. Med. Imaging 29(1), 196\u2013205 (2009). https:\/\/doi.org\/10.1109\/TMI.2009.2035616","journal-title":"IEEE Trans. Med. Imaging"},{"key":"23_CR17","doi-asserted-by":"publisher","unstructured":"Ma, T., Dai, X., Zhang, S., Wen, Y.: PIViT: large deformation image registration with pyramid-iterative vision Transformer. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 602\u2013612. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-43999-5_57","DOI":"10.1007\/978-3-031-43999-5_57"},{"issue":"1","key":"23_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S1361-8415(01)80026-8","volume":"2","author":"JA Maintz","year":"1998","unstructured":"Maintz, J.A., Viergever, M.A.: A survey of medical image registration. Med. Image Anal. 2(1), 1\u201336 (1998). https:\/\/doi.org\/10.1016\/S1361-8415(01)80026-8","journal-title":"Med. Image Anal."},{"issue":"9","key":"23_CR19","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1162\/jocn.2007.19.9.1498","volume":"19","author":"DS Marcus","year":"2007","unstructured":"Marcus, D.S., Wang, T.H., Parker, J., Csernansky, J.G., Morris, J.C., Buckner, R.L.: 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 (2007). https:\/\/doi.org\/10.1162\/jocn.2007.19.9.1498","journal-title":"J. Cogn. Neurosci."},{"key":"23_CR20","doi-asserted-by":"publisher","unstructured":"Meng, M., Bi, L., Fulham, M., Feng, D., Kim, J.: Non-iterative coarse-to-fine Transformer networks for joint affine and deformable image registration. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 750\u2013760. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-43999-5_71","DOI":"10.1007\/978-3-031-43999-5_71"},{"key":"23_CR21","doi-asserted-by":"crossref","unstructured":"Mok, T.C., Chung, A.: Affine medical image registration with coarse-to-fine Vision Transformer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20835\u201320844 (2022)","DOI":"10.1109\/CVPR52688.2022.02017"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Shen, Z., Han, X., Xu, Z., Niethammer, M.: Networks for joint affine and non-parametric image registration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4224\u20134233 (2019)","DOI":"10.1109\/CVPR.2019.00435"},{"key":"23_CR23","doi-asserted-by":"publisher","unstructured":"Shi, J., He, Y., Kong, Y., Coatrieux, J.L., Shu, H., Yang, G., Li, S.: Xmorpher: full transformer for deformable medical image registration via cross attention. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 217\u2013226. Springer (2022). https:\/\/doi.org\/10.1007\/978-3-031-16446-0_21","DOI":"10.1007\/978-3-031-16446-0_21"},{"key":"23_CR24","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Pei, Y., Zha, H.: Learning dual Transformer network for diffeomorphic registration. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part IV 2, pp. 129\u2013138. Springer (2021). https:\/\/doi.org\/10.1007\/978-3-030-87202-1_13","DOI":"10.1007\/978-3-030-87202-1_13"},{"key":"23_CR25","doi-asserted-by":"publisher","first-page":"102786","DOI":"10.1016\/j.media.2023.102786","volume":"86","author":"L Zhao","year":"2023","unstructured":"Zhao, L., et al.: SpineRegNet: spine registration network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field. Med. Image Anal. 86, 102786 (2023). https:\/\/doi.org\/10.1016\/j.media.2023.102786","journal-title":"Med. Image Anal."},{"key":"23_CR26","doi-asserted-by":"crossref","unstructured":"Zhao, S., Dong, Y., Chang, E.I., Xu, Y., et\u00a0al.: Recursive cascaded networks for unsupervised medical image registration. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10600\u201310610 (2019)","DOI":"10.1109\/ICCV.2019.01070"},{"issue":"5","key":"23_CR27","doi-asserted-by":"publisher","first-page":"1394","DOI":"10.1109\/JBHI.2019.2951024","volume":"24","author":"S Zhao","year":"2019","unstructured":"Zhao, S., Lau, T., Luo, J., Eric, I., Chang, C., Xu, Y.: Unsupervised 3D end-to-end medical image registration with volume Tweening network. IEEE J. Biomed. Health Inform. 24(5), 1394\u20131404 (2019). https:\/\/doi.org\/10.1109\/JBHI.2019.2951024","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"1","key":"23_CR28","first-page":"726852","volume":"2014","author":"W Zhou","year":"2014","unstructured":"Zhou, W., Zhang, L., Xie, Y., Liang, C.: A novel technique for prealignment in multimodality medical image registration. Biomed. Res. Int. 2014(1), 726852 (2014)","journal-title":"Biomed. Res. Int."}],"container-title":["Lecture Notes in Computer Science","PRICAI 2024: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0122-6_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T19:19:55Z","timestamp":1731784795000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0122-6_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,12]]},"ISBN":["9789819601219","9789819601226"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0122-6_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,12]]},"assertion":[{"value":"12 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyoto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}