{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T02:21:57Z","timestamp":1783045317893,"version":"3.54.6"},"reference-count":45,"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\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2023-NR077088"],"award-info":[{"award-number":["RS-2023-NR077088"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2025-14322975"],"award-info":[{"award-number":["RS-2025-14322975"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003052","name":"Korea Ministry of Trade Industry and Energy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003052","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.2026.110449","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T23:41:11Z","timestamp":1777592471000},"page":"110449","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["POPNet: A point offset prediction network for topology-preserving hole-filling in 3D intraoral scans"],"prefix":"10.1016","volume":"122","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2479-5211","authenticated-orcid":false,"given":"Sujeong","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Su","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4353-450X","authenticated-orcid":false,"given":"Ji Yong","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dahee","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1298-5180","authenticated-orcid":false,"given":"Sang-Heon","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3443-4862","authenticated-orcid":false,"given":"Jun-Min","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Won-Jin","family":"Yi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.bspc.2026.110449_b1","first-page":"101","article-title":"Intraoral scanning systems - a current overview","volume":"18","author":"Zimmermann","year":"2015","journal-title":"Int. J. Comput. Dent."},{"issue":"1","key":"10.1016\/j.bspc.2026.110449_b2","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1186\/s12903-017-0442-x","article-title":"Intraoral scanners in dentistry: a review of the current literature","volume":"17","author":"Mangano","year":"2017","journal-title":"BMC Oral. Health"},{"key":"10.1016\/j.bspc.2026.110449_b3","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.optlaseng.2013.07.017","article-title":"Recent advances in dental optics\u2013part I: 3D intraoral scanners for restorative dentistry","volume":"54","author":"Logozzo","year":"2014","journal-title":"Opt. Lasers Eng."},{"issue":"6","key":"10.1016\/j.bspc.2026.110449_b4","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1016\/j.prosdent.2014.05.027","article-title":"Scanning accuracy and precision in 4 intraoral scanners: an in vitro comparison based on 3-dimensional analysis","volume":"112","author":"Nedelcu","year":"2014","journal-title":"J. Prosthet. Dent."},{"issue":"9","key":"10.1016\/j.bspc.2026.110449_b5","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0163107","article-title":"Trueness and precision of four intraoral scanners in oral implantology: a comparative in vitro study","volume":"11","author":"Mangano","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.bspc.2026.110449_b6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12903-017-0415-0","article-title":"The complete digital workflow in fixed prosthodontics: a systematic review","volume":"17","author":"Joda","year":"2017","journal-title":"BMC Oral. Health"},{"key":"10.1016\/j.bspc.2026.110449_b7","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1007\/s00784-016-1902-4","article-title":"Accuracy of five intraoral scanners compared to indirect digitalization","volume":"21","author":"G\u00fcth","year":"2017","journal-title":"Clin. Oral Investig."},{"issue":"1","key":"10.1016\/j.bspc.2026.110449_b8","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1038\/s41591-018-0316-z","article-title":"A guide to deep learning in healthcare","volume":"25","author":"Esteva","year":"2019","journal-title":"Nature Med."},{"key":"10.1016\/j.bspc.2026.110449_b9","doi-asserted-by":"crossref","unstructured":"R.A. Tabib, et al., DeFi: detection and filling of holes in point clouds towards restoration of digitized cultural heritage models, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023.","DOI":"10.1109\/ICCVW60793.2023.00175"},{"key":"10.1016\/j.bspc.2026.110449_b10","first-page":"30","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"Qi","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.bspc.2026.110449_b11","series-title":"2022 IEEE 19th International Symposium on Biomedical Imaging","article-title":"Dental restoration using a multi-resolution deep learning approach","author":"Lessard","year":"2022"},{"key":"10.1016\/j.bspc.2026.110449_b12","series-title":"3D hole filling using deep learning inpainting","author":"Hern\u00e1ndez-Bautista","year":"2024"},{"key":"10.1016\/j.bspc.2026.110449_b13","series-title":"Invisible stitch: Generating smooth 3D scenes with depth inpainting","author":"Engstler","year":"2024"},{"key":"10.1016\/j.bspc.2026.110449_b14","series-title":"2018 International Conference on 3D Vision","article-title":"Pcn: Point completion network","author":"Yuan","year":"2018"},{"key":"10.1016\/j.bspc.2026.110449_b15","series-title":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","article-title":"Toothcr: a two-stage completion and reconstruction approach on 3D dental model","author":"Zhu","year":"2022"},{"key":"10.1016\/j.bspc.2026.110449_b16","article-title":"Personalized dental crown design: A point-to-mesh completion network","volume":"101","author":"Hosseinimanesh","year":"2024","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110449_b17","series-title":"DCrownFormer: Morphology-Aware Point-To-Mesh Generation Transformer for Dental Crown Prosthesis from 3D Scan Data of Antagonist and Preparation Teeth","author":"Yang","year":"2024"},{"key":"10.1016\/j.bspc.2026.110449_b18","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.neunet.2018.09.001","article-title":"Dgcnn: A convolutional neural network over large-scale labeled graphs","volume":"108","author":"Phan","year":"2018","journal-title":"Neural Netw."},{"key":"10.1016\/j.bspc.2026.110449_b19","first-page":"13032","article-title":"Shape as points: A differentiable Poisson solver","volume":"34","author":"Peng","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.bspc.2026.110449_b20","unstructured":"M. Kazhdan, M. Bolitho, H. Hoppe, Poisson surface reconstruction, in: Proceedings of the Fourth Eurographics Symposium on Geometry Processing, 2006."},{"key":"10.1016\/j.bspc.2026.110449_b21","series-title":"Delaunay Refinement Mesh Generation","author":"Shewchuk","year":"1997"},{"key":"10.1016\/j.bspc.2026.110449_b22","series-title":"2010 International Conference on Artificial Intelligence and Computational Intelligence","article-title":"An integrated approach to filling holes in meshes","author":"Wei","year":"2010"},{"key":"10.1016\/j.bspc.2026.110449_b23","doi-asserted-by":"crossref","unstructured":"J.C. Carr, et al., Reconstruction and representation of 3D objects with radial basis functions, in: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques, 2001.","DOI":"10.1145\/383259.383266"},{"key":"10.1016\/j.bspc.2026.110449_b24","series-title":"Proceedings First International Symposium on 3d Data Processing Visualization and Transmission","article-title":"Filling holes in complex surfaces using volumetric diffusion","author":"Davis","year":"2002"},{"key":"10.1016\/j.bspc.2026.110449_b25","doi-asserted-by":"crossref","unstructured":"A. Dai, C. Ruizhongtai Qi, M. Nie\u00dfner, Shape completion using 3d-encoder-predictor cnns and shape synthesis, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017.","DOI":"10.1109\/CVPR.2017.693"},{"key":"10.1016\/j.bspc.2026.110449_b26","doi-asserted-by":"crossref","unstructured":"X. Han, et al., High-resolution shape completion using deep neural networks for global structure and local geometry inference, in: Proceedings of the IEEE International Conference on Computer Vision, 2017.","DOI":"10.1109\/ICCV.2017.19"},{"key":"10.1016\/j.bspc.2026.110449_b27","doi-asserted-by":"crossref","unstructured":"G. Riegler, A. Osman Ulusoy, A. Geiger, Octnet: Learning deep 3d representations at high resolutions, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017.","DOI":"10.1109\/CVPR.2017.701"},{"key":"10.1016\/j.bspc.2026.110449_b28","unstructured":"Z. Wu, et al., 3d shapenets: A deep representation for volumetric shapes, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015."},{"issue":"3","key":"10.1016\/j.bspc.2026.110449_b29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2487228.2487237","article-title":"Screened Poisson surface reconstruction","volume":"32","author":"Kazhdan","year":"2013","journal-title":"ACM Trans. Graph."},{"issue":"9","key":"10.1016\/j.bspc.2026.110449_b30","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1109\/TVCG.2011.276","article-title":"A curvature-adaptive implicit surface reconstruction for irregularly spaced points","volume":"18","author":"Zagorchev","year":"2011","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"key":"10.1016\/j.bspc.2026.110449_b31","unstructured":"M. Hern\u00e1ndez-Bautista, F.J. Melero, Deep learning of curvature features for shape completion, Comput. Graph.."},{"key":"10.1016\/j.bspc.2026.110449_b32","series-title":"Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020 Proceedings, Part XIV 16","article-title":"Self-supervised single-view 3d reconstruction via semantic consistency","author":"Li","year":"2020"},{"issue":"4","key":"10.1016\/j.bspc.2026.110449_b33","doi-asserted-by":"crossref","DOI":"10.1145\/3386569.3392415","article-title":"Point2mesh","volume":"39","author":"Hanocka","year":"2020","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.bspc.2026.110449_b34","doi-asserted-by":"crossref","unstructured":"F. Bongratz, et al., Vox2cortex: Fast explicit reconstruction of cortical surfaces from 3d mri scans with geometric deep neural networks, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022.","DOI":"10.1109\/CVPR52688.2022.02011"},{"issue":"5","key":"10.1016\/j.bspc.2026.110449_b35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3326362","article-title":"Dynamic graph cnn for learning on point clouds","volume":"38","author":"Wang","year":"2019","journal-title":"ACM Trans. Graph. (Tog)"},{"key":"10.1016\/j.bspc.2026.110449_b36","series-title":"2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","article-title":"Attention EdgeConv for 3D point cloud classification","author":"Lin","year":"2021"},{"key":"10.1016\/j.bspc.2026.110449_b37","series-title":"NIPS","article-title":"Attention is all you need","author":"Waswani","year":"2017"},{"key":"10.1016\/j.bspc.2026.110449_b38","doi-asserted-by":"crossref","unstructured":"H. Fan, H. Su, L.J. Guibas. A point set generation network for 3d object reconstruction from a single image, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017.","DOI":"10.1109\/CVPR.2017.264"},{"key":"10.1016\/j.bspc.2026.110449_b39","doi-asserted-by":"crossref","unstructured":"A. Nealen, et al., Laplacian mesh optimization, in: Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia, 2006.","DOI":"10.1145\/1174429.1174494"},{"issue":"7","key":"10.1016\/j.bspc.2026.110449_b40","doi-asserted-by":"crossref","first-page":"2440","DOI":"10.1109\/TMI.2020.2971730","article-title":"Deep multi-scale mesh feature learning for automated labeling of raw dental surfaces from 3D intraoral scanners","volume":"39","author":"Lian","year":"2020","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.bspc.2026.110449_b41","series-title":"Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13\u201317, 2019, Proceedings, Part VI","article-title":"Meshsnet: Deep multi-scale mesh feature learning for end-to-end tooth labeling on 3d dental surfaces","volume":"Vol. 22","author":"Lian","year":"2019"},{"key":"10.1016\/j.bspc.2026.110449_b42","unstructured":"C.R. Qi, et al., Pointnet: Deep learning on point sets for 3d classification and segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017."},{"key":"10.1016\/j.bspc.2026.110449_b43","doi-asserted-by":"crossref","unstructured":"X. Yu, et al., Pointr: Diverse point cloud completion with geometry-aware transformers, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021.","DOI":"10.1109\/ICCV48922.2021.01227"},{"key":"10.1016\/j.bspc.2026.110449_b44","doi-asserted-by":"crossref","first-page":"40","DOI":"10.51847\/izu17ACVUd","article-title":"Factors affecting the accuracy of intraoral scanners-a systematic review","author":"Sindhu","year":"2023","journal-title":"Ann. Dent. Spec."},{"issue":"1","key":"10.1016\/j.bspc.2026.110449_b45","doi-asserted-by":"crossref","first-page":"1739","DOI":"10.1186\/s12903-025-07107-7","article-title":"Effect of implant angulation on the trueness and precision of intraoral scanning and photogrammetry","volume":"25","author":"Muslu","year":"2025","journal-title":"BMC Oral. Health"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426010037?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426010037?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T02:04:58Z","timestamp":1783044298000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426010037"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":45,"alternative-id":["S1746809426010037"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110449","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":"POPNet: A point offset prediction network for topology-preserving hole-filling in 3D intraoral scans","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110449","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":"110449"}}