{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T11:44:10Z","timestamp":1783597450614,"version":"3.55.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032049643","type":"print"},{"value":"9783032049650","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-04965-0_21","type":"book-chapter","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T08:05:55Z","timestamp":1758182755000},"page":"218-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Gaussian Primitive Optimized Deformable Retinal Image Registration"],"prefix":"10.1007","author":[{"given":"Xin","family":"Tian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiazheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renjiu","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaolei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,19]]},"reference":[{"issue":"365","key":"21_CR1","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"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Chen, X., et al.: Spatially covariant image registration with text prompts. IEEE Trans. Neural Netw. Learn. Syst. (2024)","DOI":"10.1109\/TNNLS.2024.3454076"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.media.2018.11.010","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)","journal-title":"Med. Image Anal."},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"DeTone, D., Malisiewicz, T., Rabinovich, A.: Superpoint: self-supervised interest point detection and description. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 224\u2013236 (2018)","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"Edstedt, J., Sun, Q., B\u00f6kman, G., Wadenb\u00e4ck, M., Felsberg, M.: Roma: robust dense feature matching. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 19790\u201319800 (2024)","DOI":"10.1109\/CVPR52733.2024.01871"},{"key":"21_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-3-030-32226-7_6","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019","author":"MP Heinrich","year":"2019","unstructured":"Heinrich, M.P.: Closing the gap between deep and conventional image registration using probabilistic dense displacement networks. In: Shen, D., Khan, A. (eds.) MICCAI 2019. LNCS, vol. 11769, pp. 50\u201358. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32226-7_6"},{"key":"21_CR7","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-031-11203-4_10","volume-title":"WBIR 2022","author":"MP Heinrich","year":"2022","unstructured":"Heinrich, M.P., Hansen, L.: Voxelmorph++ going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. In: Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M., Rueckert, D. (eds.) WBIR 2022. LNCS, vol. 13386, pp. 85\u201395. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-11203-4_10"},{"issue":"7","key":"21_CR8","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1109\/TMI.2013.2246577","volume":"32","author":"MP Heinrich","year":"2013","unstructured":"Heinrich, M.P., Jenkinson, M., Brady, M., Schnabel, J.A.: MRF-based deformable registration and ventilation estimation of lung CT. IEEE Trans. Med. Imaging 32(7), 1239\u20131248 (2013)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"21_CR9","first-page":"16","volume":"1","author":"C Hernandez-Matas","year":"2017","unstructured":"Hernandez-Matas, C., Zabulis, X., Triantafyllou, A., Anyfanti, P., Douma, S., Argyros, A.A.: FIRE: fundus image registration dataset. Model. Artif. Intell. Ophthalmol. 1(4), 16\u201328 (2017)","journal-title":"Model. Artif. Intell. Ophthalmol."},{"key":"21_CR10","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2021.659941","volume":"9","author":"J Hu","year":"2021","unstructured":"Hu, J., et al.: Automatic artery\/vein classification using a vessel-constraint network for multicenter fundus images. Front. Cell Dev. Biol. 9, 659941 (2021)","journal-title":"Front. Cell Dev. Biol."},{"issue":"1","key":"21_CR11","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TMI.2021.3108881","volume":"41","author":"X Jia","year":"2021","unstructured":"Jia, X., et al.: Learning a model-driven variational network for deformable image registration. IEEE Trans. Med. Imaging 41(1), 199\u2013212 (2021)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"21_CR12","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)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Lindenberger, P., Sarlin, P.E., Pollefeys, M.: LightGlue: local feature matching at light speed. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 17627\u201317638 (2023)","DOI":"10.1109\/ICCV51070.2023.01616"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Liu, J., Li, X.: Geometrized transformer for self-supervised homography estimation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9556\u20139565 (2023)","DOI":"10.1109\/ICCV51070.2023.00876"},{"key":"21_CR15","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/978-3-031-19803-8_35","volume-title":"ECCV 2022","author":"J Liu","year":"2022","unstructured":"Liu, J., Li, X., Wei, Q., Xu, J., Ding, D.: Semi-supervised keypoint detector and descriptor for retinal image matching. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13681, pp. 593\u2013609. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19803-8_35"},{"key":"21_CR16","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":"21_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-3-030-71827-5_7","volume-title":"Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data","author":"TCW Mok","year":"2021","unstructured":"Mok, T.C.W., Chung, A.C.S.: Large deformation image registration with anatomy-aware Laplacian pyramid networks. In: Shusharina, N., Heinrich, M.P., Huang, R. (eds.) MICCAI 2020. LNCS, vol. 12587, pp. 61\u201367. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-71827-5_7"},{"issue":"4","key":"21_CR18","doi-asserted-by":"publisher","DOI":"10.1088\/2057-1976\/aa7d16","volume":"3","author":"G Noyel","year":"2017","unstructured":"Noyel, G., Thomas, R., Bhakta, G., Crowder, A., Owens, D., Boyle, P.: Superimposition of eye fundus images for longitudinal analysis from large public health databases. Biomed. Phys. Eng. Express 3(4), 045015 (2017)","journal-title":"Biomed. Phys. Eng. Express"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Potje, G., Cadar, F., Araujo, A., Martins, R., Nascimento, E.R.: XFeat: accelerated features for lightweight image matching. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2682\u20132691 (2024)","DOI":"10.1109\/CVPR52733.2024.00259"},{"key":"21_CR20","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1007\/978-3-031-16446-0_6","volume-title":"MICCAI 2022","author":"H Qiu","year":"2022","unstructured":"Qiu, H., Hammernik, K., Qin, C., Chen, C., Rueckert, D.: Embedding gradient-based optimization in image registration networks. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) MICCAI 2022. LNCS, vol. 13436, pp. 56\u201365. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16446-0_6"},{"key":"21_CR21","unstructured":"Revaud, J., De\u00a0Souza, C., Humenberger, M., Weinzaepfel, P.: R2D2: reliable and repeatable detector and descriptor. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"21_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.109645","volume":"186","author":"VB Sivaraman","year":"2025","unstructured":"Sivaraman, V.B., et al.: RetinaRegNet: a zero-shot approach for retinal image registration. Comput. Biol. Med. 186, 109645 (2025)","journal-title":"Comput. Biol. Med."},{"key":"21_CR23","doi-asserted-by":"crossref","unstructured":"Tian, X., Anantrasirichai, N., Nicholson, L., Achim, A.: Optimal transport-based graph matching for 3d retinal oct image registration. In: 2022 IEEE International Conference on Image Processing (ICIP), pp. 2791\u20132795. IEEE (2022)","DOI":"10.1109\/ICIP46576.2022.9897650"},{"key":"21_CR24","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1007\/978-3-031-72378-0_72","volume-title":"MICCAI 2024","author":"X Tian","year":"2024","unstructured":"Tian, X., Anantrasirichai, N., Nicholson, L., Achim, A.: TaGAT: topology-aware graph attention network for multi-modal retinal image fusion. In: Linguraru, M.G., et al. (eds.) MICCAI 2024. LNCS, vol. 15001, pp. 775\u2013784. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-72378-0_72"},{"key":"21_CR25","doi-asserted-by":"crossref","unstructured":"Tian, X., Zheng, R., Chu, C.J., Bell, O.H., Nicholson, L.B., Achim, A.: Multimodal retinal image registration and fusion based on sparse regularization via a generalized minimax-concave penalty. In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1010\u20131014. IEEE (2019)","DOI":"10.1109\/ICASSP.2019.8683010"},{"key":"21_CR26","doi-asserted-by":"crossref","unstructured":"Truong, P., Apostolopoulos, S., Mosinska, A., Stucky, S., Ciller, C., Zanet, S.D.: Glampoints: greedily learned accurate match points. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10732\u201310741 (2019)","DOI":"10.1109\/ICCV.2019.01083"},{"key":"21_CR27","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1007\/978-3-031-72384-1_63","volume-title":"MICCAI 2024","author":"H Zhang","year":"2024","unstructured":"Zhang, H., Chen, X., Hu, R., Liu, D., Li, G., Wang, R.: MemWarp: discontinuity-preserving cardiac registration with memorized anatomical filters. In: Linguraru, M.G., et al. (eds.) MICCAI 2024. LNCS, vol. 15003, pp. 671\u2013681. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-72384-1_63"},{"key":"21_CR28","unstructured":"Zhang, H., et al.: Unsupervised deformable image registration with structural nonparametric smoothing. arXiv preprint arXiv:2506.10813 (2025)"},{"key":"21_CR29","unstructured":"Zhang, H., Chen, X., Wang, R., Hu, R., Liu, D., Li, G.: Slicer networks. arXiv preprint arXiv:2401.09833 (2024)"},{"key":"21_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, H., Wang, R., Zhang, J., Liu, D., Li, C., Li, J.: Spatially covariant lesion segmentation. arXiv preprint arXiv:2301.07895 (2023)","DOI":"10.24963\/ijcai.2023\/190"},{"issue":"5","key":"21_CR31","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)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"21_CR32","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/978-3-031-12053-4_6","volume-title":"MIUA 2022","author":"JQ Zheng","year":"2022","unstructured":"Zheng, J.Q., Wang, Z., Huang, B., Vincent, T., Lim, N.H., Papie\u017c, B.W.: Recursive deformable image registration network with mutual attention. In: Yang, G., Aviles-Rivero, A., Roberts, M., Sch\u00f6nlieb, C.B. (eds.) MIUA 2022. LNCS, vol. 13413, pp. 75\u201386. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-12053-4_6"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04965-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T22:05:21Z","timestamp":1758233121000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04965-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,19]]},"ISBN":["9783032049643","9783032049650"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04965-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,19]]},"assertion":[{"value":"19 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}