{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T05:46:36Z","timestamp":1785649596391,"version":"3.56.0"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032319265","type":"print"},{"value":"9783032319272","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-31927-2_45","type":"book-chapter","created":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T05:15:24Z","timestamp":1785647724000},"page":"677-691","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SI-IoSR: Hybrid Shape Completion for\u00a0Intraoral Scan Repair via\u00a0Selective Interpolation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-2262-5347","authenticated-orcid":false,"given":"Ons","family":"Abida","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4643-1978","authenticated-orcid":false,"given":"Ahmed","family":"Rekik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0073-3023","authenticated-orcid":false,"given":"Achraf","family":"Ben-Hamadou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5241-3320","authenticated-orcid":false,"given":"Manel","family":"Farhat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"45_CR1","unstructured":"Ben-Hamadou, A., et al.: Teeth3Ds+: An Extended Benchmark for Intra-oral 3D Scans Analysis. arXiv preprint arXiv:2210.06094 (2022)"},{"issue":"4","key":"45_CR2","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1109\/2945.817351","volume":"5","author":"F Bernardini","year":"1999","unstructured":"Bernardini, F., Mittleman, J., Rushmeier, H., Silva, C., Taubin, G.: The ball-pivoting algorithm for surface reconstruction. IEEE Trans. Visual Comput. Graphics 5(4), 349\u2013359 (1999). https:\/\/doi.org\/10.1109\/2945.817351","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Borghi, L., et al.: Bits2bites: intra-oral scans occlusal classification. In: Oral and Dental Image Analysis Workshop (2025)","DOI":"10.1007\/978-3-032-20711-1_5"},{"key":"45_CR4","doi-asserted-by":"publisher","unstructured":"Charles, R.Q., Su, H., Kaichun, M., Guibas, L.J.: PointNet: deep learning on point sets for 3D classification and segmentation. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 77\u201385 (2017). https:\/\/doi.org\/10.1109\/CVPR.2017.16","DOI":"10.1109\/CVPR.2017.16"},{"key":"45_CR5","doi-asserted-by":"publisher","unstructured":"Chen, J., Guo, F., Tang, Q.: Cartilage repair based on point cloud completion. In: 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL), pp. 955\u2013959 (2024). https:\/\/doi.org\/10.1109\/CVIDL62147.2024.10603469","DOI":"10.1109\/CVIDL62147.2024.10603469"},{"key":"45_CR6","doi-asserted-by":"publisher","unstructured":"Chen, Z., et al.: AnchorFormer: point cloud completion from discriminative nodes. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13581\u201313590 (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.01305","DOI":"10.1109\/CVPR52729.2023.01305"},{"key":"45_CR7","doi-asserted-by":"publisher","unstructured":"Chibane, J., Alldieck, T., Pons-Moll, G.: Implicit functions in feature space for 3D shape reconstruction and completion. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, pp. 6968\u20136979 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00700","DOI":"10.1109\/CVPR42600.2020.00700"},{"key":"45_CR8","doi-asserted-by":"publisher","unstructured":"Du, Z., et al.: CDPNet: cross-modal dual phases network for point cloud completion. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 2, pp. 1635\u20131643 (2024). https:\/\/doi.org\/10.1609\/aaai.v38i2.27930","DOI":"10.1609\/aaai.v38i2.27930"},{"key":"45_CR9","unstructured":"Farhat, M., Ben-hamadou, A., Rekik, A., Abida, O., Smaoui, O.: IoSR: end-to-end intraoral scans repairing. In: 36th British Machine Vision Conference 2025, BMVC 2025, Sheffield, UK, 24\u201327 November 2025 (2025)"},{"issue":"12","key":"45_CR10","doi-asserted-by":"publisher","first-page":"22862","DOI":"10.1109\/TITS.2022.3195555","volume":"23","author":"B Fei","year":"2022","unstructured":"Fei, B., et al.: Comprehensive review of deep learning-based 3D point cloud completion processing and analysis. IEEE Trans. Intell. Transp. Syst. 23(12), 22862\u201322883 (2022). https:\/\/doi.org\/10.1109\/TITS.2022.3195555","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"45_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdent.2021.103690","volume":"110","author":"M G\u00f3mez-Polo","year":"2021","unstructured":"G\u00f3mez-Polo, M., Piedra-Casc\u00f3n, W., Methani, M.M., Quesada-Olmo, N., Farjas-Abadia, M., Revilla-Le\u00f3n, M.: Influence of rescanning mesh holes and stitching procedures on the complete-arch scanning accuracy of an intraoral scanner: an in vitro study. J. Dent. 110, 103690 (2021). https:\/\/doi.org\/10.1016\/j.jdent.2021.103690","journal-title":"J. Dent."},{"issue":"12","key":"45_CR12","doi-asserted-by":"publisher","first-page":"9727","DOI":"10.1109\/TPAMI.2024.3429209","volume":"46","author":"Z Huang","year":"2024","unstructured":"Huang, Z., Wen, Y., Wang, Z., Ren, J., Jia, K.: Surface reconstruction from point clouds: a survey and a benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 46(12), 9727\u20139748 (2024). https:\/\/doi.org\/10.1109\/TPAMI.2024.3429209","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"45_CR13","doi-asserted-by":"publisher","unstructured":"Huang, Z., Yu, Y., Xu, J., Ni, F., Le, X.: PF-Net: point fractal network for 3D point cloud completion. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7659\u20137667 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00768","DOI":"10.1109\/CVPR42600.2020.00768"},{"key":"45_CR14","unstructured":"Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of the Fourth Eurographics Symposium on Geometry Processing, vol.\u00a07 (2006)"},{"issue":"3","key":"45_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2487228.2487237","volume":"32","author":"M Kazhdan","year":"2013","unstructured":"Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Trans. Graph. (ToG) 32(3), 1\u201313 (2013)","journal-title":"ACM Trans. Graph. (ToG)"},{"key":"45_CR16","doi-asserted-by":"publisher","unstructured":"Li, S., Gao, P., Tan, X., Wei, M.: ProxyFormer: proxy alignment assisted point cloud completion with missing part sensitive transformer. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9466\u20139475 (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.00913","DOI":"10.1109\/CVPR52729.2023.00913"},{"issue":"4","key":"45_CR17","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1145\/37402.37422","volume":"21","author":"WE Lorensen","year":"1987","unstructured":"Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. SIGGRAPH Comput. Graph. 21(4), 163\u2013169 (1987). https:\/\/doi.org\/10.1145\/37402.37422","journal-title":"SIGGRAPH Comput. Graph."},{"key":"45_CR18","doi-asserted-by":"publisher","unstructured":"Luo, W., Wu, D., Na, H., Zhu, Y., Hu, M., Quan, G.: Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective (2025). https:\/\/doi.org\/10.48550\/arXiv.2511.12170","DOI":"10.48550\/arXiv.2511.12170"},{"issue":"1","key":"45_CR19","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1186\/s12903-017-0442-x","volume":"17","author":"F Mangano","year":"2017","unstructured":"Mangano, F., Gandolfi, A., Luongo, G., Logozzo, S.: Intraoral scanners in dentistry: a review of the current literature. BMC Oral Health 17(1), 149 (2017). https:\/\/doi.org\/10.1186\/s12903-017-0442-x","journal-title":"BMC Oral Health"},{"key":"45_CR20","doi-asserted-by":"publisher","unstructured":"Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: learning 3D reconstruction in function space. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4455\u20134465 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00459","DOI":"10.1109\/CVPR.2019.00459"},{"key":"45_CR21","doi-asserted-by":"publisher","unstructured":"Park, J.J., Florence, P., Straub, J., Newcombe, R., Lovegrove, S.: DeepSDF: learning continuous signed distance functions for shape representation. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 165\u2013174 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00025","DOI":"10.1109\/CVPR.2019.00025"},{"key":"45_CR22","doi-asserted-by":"publisher","unstructured":"Peng, S., Jiang, C.M., Liao, Y., Niemeyer, M., Pollefeys, M., Geiger, A.: Shape As Points: A Differentiable Poisson Solver (2021). https:\/\/doi.org\/10.48550\/arXiv.2106.03452","DOI":"10.48550\/arXiv.2106.03452"},{"key":"45_CR23","doi-asserted-by":"publisher","unstructured":"Peng, S., Niemeyer, M., Mescheder, L., Pollefeys, M., Geiger, A.: Convolutional Occupancy Networks (2020). https:\/\/doi.org\/10.48550\/arXiv.2003.04618","DOI":"10.48550\/arXiv.2003.04618"},{"key":"45_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.109535","volume":"185","author":"A Rekik","year":"2025","unstructured":"Rekik, A., Ben-Hamadou, A., Smaoui, O., Bouzguenda, F., Pujades, S., Boyer, E.: TSegLab: multi-stage 3D dental scan segmentation and labeling. Comput. Biol. Med. 185, 109535 (2025). https:\/\/doi.org\/10.1016\/j.compbiomed.2024.109535","journal-title":"Comput. Biol. Med."},{"issue":"5","key":"45_CR25","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1016\/j.prosdent.2021.10.017","volume":"130","author":"M Revilla-Le\u00f3n","year":"2023","unstructured":"Revilla-Le\u00f3n, M., Sicilia, E., Agust\u00edn-Panadero, R., G\u00f3mez-Polo, M., Kois, J.C.: Clinical evaluation of the effects of cutting off, overlapping, and rescanning procedures on intraoral scanning accuracy. J. Prosthet. Dent. 130(5), 746\u2013754 (2023). https:\/\/doi.org\/10.1016\/j.prosdent.2021.10.017","journal-title":"J. Prosthet. Dent."},{"key":"45_CR26","doi-asserted-by":"publisher","unstructured":"Rong, Y., Zhou, H., Yuan, L., Mei, C., Wang, J., Lu, T.: CRA-PCN: point cloud completion with intra- and inter-level cross-resolution transformers. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 5, pp. 4676\u20134685 (2024). https:\/\/doi.org\/10.1609\/aaai.v38i5.28268","DOI":"10.1609\/aaai.v38i5.28268"},{"issue":"3","key":"45_CR27","doi-asserted-by":"publisher","first-page":"2000","DOI":"10.1109\/TPAMI.2024.3510932","volume":"47","author":"R Sulzer","year":"2025","unstructured":"Sulzer, R., Marlet, R., Vallet, B., Landrieu, L.: A survey and benchmark of automatic surface reconstruction from point clouds. IEEE Trans. Pattern Anal. Mach. Intell. 47(3), 2000\u20132019 (2025). https:\/\/doi.org\/10.1109\/TPAMI.2024.3510932","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"45_CR28","doi-asserted-by":"publisher","unstructured":"Tchapmi, L.P., Kosaraju, V., Rezatofighi, H., Reid, I., Savarese, S.: TopNet: structural point cloud decoder. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 383\u2013392 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00047","DOI":"10.1109\/CVPR.2019.00047"},{"issue":"10","key":"45_CR29","doi-asserted-by":"publisher","first-page":"6880","DOI":"10.1109\/TVCG.2023.3344935","volume":"30","author":"KW Tesema","year":"2024","unstructured":"Tesema, K.W., Hill, L., Jones, M.W., Ahmad, M.I., Tam, G.K.: Point cloud completion: a survey. IEEE Trans. Visual Comput. Graphics 30(10), 6880\u20136899 (2024). https:\/\/doi.org\/10.1109\/TVCG.2023.3344935","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"45_CR30","doi-asserted-by":"publisher","unstructured":"van Nistelrooij, N., et al.: ToothSeg: robust tooth instance segmentation and numbering in CBCT using deep learning and self-correction. IEEE J. Biomed. Health Inform. (2026). https:\/\/doi.org\/10.1109\/JBHI.2025.3650444","DOI":"10.1109\/JBHI.2025.3650444"},{"key":"45_CR31","doi-asserted-by":"publisher","unstructured":"Xiang, P., et al.: SnowflakeNet: point cloud completion by snowflake point deconvolution with skip-transformer. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 5479\u20135489 (2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.00545","DOI":"10.1109\/ICCV48922.2021.00545"},{"key":"45_CR32","doi-asserted-by":"publisher","unstructured":"Xie, H., Yao, H., Zhou, S., Mao, J., Zhang, S., Sun, W.: GRNet: Gridding Residual Network for Dense Point Cloud Completion (2020). https:\/\/doi.org\/10.48550\/arXiv.2006.03761","DOI":"10.48550\/arXiv.2006.03761"},{"key":"45_CR33","doi-asserted-by":"publisher","unstructured":"Yan, H., Li, Z., Luo, K., Lu, L., Tan, P.: SymmCompletion: high-fidelity and high-consistency point cloud completion with symmetry guidance. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 9, pp. 9094\u20139102 (2025). https:\/\/doi.org\/10.1609\/aaai.v39i9.32984","DOI":"10.1609\/aaai.v39i9.32984"},{"key":"45_CR34","doi-asserted-by":"publisher","unstructured":"Yang, S., et al.: DCrownFormer: morphology-aware point-to-mesh generation transformer for dental crown prosthesis from 3D scan data of antagonist and preparation teeth. In: Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024, pp. 109\u2013119. Springer, Heidelberg (2024). https:\/\/doi.org\/10.1007\/978-3-031-72089-5_11","DOI":"10.1007\/978-3-031-72089-5_11"},{"key":"45_CR35","doi-asserted-by":"publisher","unstructured":"Yang, Y., Feng, C., Shen, Y., Tian, D.: FoldingNet: point cloud auto-encoder via deep grid deformation. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 206\u2013215 (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00029","DOI":"10.1109\/CVPR.2018.00029"},{"key":"45_CR36","doi-asserted-by":"publisher","unstructured":"Yu, J., Huang, B., Zhang, Y., Li, H., Tang, X., Gao, S.: GeoFormer: learning point cloud completion with tri-plane integrated transformer. In: Proceedings of the 32nd ACM International Conference on Multimedia, pp. 8952\u20138961 (2024). https:\/\/doi.org\/10.1145\/3664647.3680842","DOI":"10.1145\/3664647.3680842"},{"issue":"12","key":"45_CR37","doi-asserted-by":"publisher","first-page":"14114","DOI":"10.1109\/TPAMI.2023.3309253","volume":"45","author":"X Yu","year":"2023","unstructured":"Yu, X., Rao, Y., Wang, Z., Lu, J., Zhou, J.: AdaPoinTr: diverse point cloud completion with adaptive geometry-aware transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(12), 14114\u201314130 (2023). https:\/\/doi.org\/10.1109\/TPAMI.2023.3309253","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"45_CR38","doi-asserted-by":"publisher","unstructured":"Yuan, W., Khot, T., Held, D., Mertz, C., Hebert, M.: PCN: point completion network. In: 2018 International Conference on 3D Vision (3DV), pp. 728\u2013737 (2018). https:\/\/doi.org\/10.1109\/3DV.2018.00088","DOI":"10.1109\/3DV.2018.00088"},{"key":"45_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2024.101233","volume":"136","author":"K Zhang","year":"2024","unstructured":"Zhang, K., Zhang, A., Wang, X., Li, W.: Deep-learning-based point cloud completion methods: a review. Graph. Models 136, 101233 (2024). https:\/\/doi.org\/10.1016\/j.gmod.2024.101233","journal-title":"Graph. Models"},{"key":"45_CR40","doi-asserted-by":"publisher","unstructured":"Zhong, Y., Quan, W., Yan, D.M., Jiang, J., Wei, Y.: PointCFormer: a relation-based progressive feature extraction network for point cloud completion. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 10, pp. 10689\u201310697 (2025). https:\/\/doi.org\/10.1609\/aaai.v39i10.33161","DOI":"10.1609\/aaai.v39i10.33161"},{"key":"45_CR41","doi-asserted-by":"publisher","unstructured":"Zhou, H., et al.: SeedFormer: patch seeds based point cloud completion with\u00a0upsample transformer. In: Computer Vision \u2013 ECCV 2022: 17th European Conference, 2022, Proceedings, Part III, pp. 416\u2013432 (2022). https:\/\/doi.org\/10.1007\/978-3-031-20062-5_24","DOI":"10.1007\/978-3-031-20062-5_24"},{"key":"45_CR42","doi-asserted-by":"publisher","unstructured":"Zhu, Z., Chen, H., He, X., Wang, W., Qin, J., Wei, M.: SVDFormer: complementing point cloud via self-view augmentation and self-structure dual-generator. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 14462\u201314472 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.01334","DOI":"10.1109\/ICCV51070.2023.01334"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-31927-2_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T05:15:31Z","timestamp":1785647731000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-31927-2_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,3]]},"ISBN":["9783032319265","9783032319272"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-31927-2_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,3]]},"assertion":[{"value":"3 August 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lyon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 August 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 2026","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":"icpr2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2026.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}