{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T21:19:13Z","timestamp":1774041553451,"version":"3.50.1"},"reference-count":47,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100013068","name":"Key Technologies Research and Development Program of Guangzhou Municipality","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013068","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004000","name":"Guangzhou Science and Technology Program Key Projects","doi-asserted-by":"publisher","award":["202206010130"],"award-info":[{"award-number":["202206010130"]}],"id":[{"id":"10.13039\/501100004000","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":[[2026,6]]},"DOI":"10.1016\/j.bspc.2026.109979","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T04:39:16Z","timestamp":1771821556000},"page":"109979","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PB","title":["Structure-aware graph neural networks for vascular pose estimation"],"prefix":"10.1016","volume":"119","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4347-0727","authenticated-orcid":false,"given":"Yang","family":"Hong","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1302-2626","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jianqing","family":"Mo","sequence":"additional","affiliation":[]},{"given":"Hanwu","family":"He","sequence":"additional","affiliation":[]},{"given":"Guangzhong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Kun","family":"Qin","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.bspc.2026.109979_b1","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.jocn.2021.06.032","article-title":"Applications of augmented reality in the neurosurgical operating room: A systematic review of the literature","volume":"91","author":"Chidambaram","year":"2021","journal-title":"J. Clin. Neurosci."},{"issue":"7","key":"10.1016\/j.bspc.2026.109979_b2","doi-asserted-by":"crossref","first-page":"2565","DOI":"10.1364\/BOE.7.002565","article-title":"Augmented reality based real-time subcutaneous vein imaging system","volume":"7","author":"Ai","year":"2016","journal-title":"Biomed. Opt. Express"},{"issue":"1","key":"10.1016\/j.bspc.2026.109979_b3","doi-asserted-by":"crossref","DOI":"10.3390\/jcm11010194","article-title":"Surgical applications of lymphatic vessel visualization using photoacoustic imaging and augmented reality","volume":"11","author":"Suzuki","year":"2021","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.bspc.2026.109979_b4","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019","first-page":"236","article-title":"Markerless image-to-face registration for untethered augmented reality in head and neck surgery","author":"Gsaxner","year":"2019"},{"issue":"9","key":"10.1016\/j.bspc.2026.109979_b5","doi-asserted-by":"crossref","first-page":"891","DOI":"10.3390\/bioengineering11090891","article-title":"A rapid head organ localization system based on clinically realistic images: a 3D two step progressive registration method with CVH anatomical knowledge mapping","volume":"11","author":"Sun","year":"2024","journal-title":"Bioengineering"},{"issue":"1","key":"10.1016\/j.bspc.2026.109979_b6","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1186\/s13638-020-01754-w","article-title":"Automatic registration method using EM sensors in the IoT operating room","volume":"2020","author":"Lin","year":"2020","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"10.1016\/j.bspc.2026.109979_b7","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023","first-page":"227","article-title":"Learning expected appearances for intraoperative registration during neurosurgery","author":"Haouchine","year":"2023"},{"key":"10.1016\/j.bspc.2026.109979_b8","series-title":"IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings","article-title":"Deep learning-based point cloud registration for augmented reality-guided surgery","author":"Weber","year":"2024"},{"issue":"2","key":"10.1016\/j.bspc.2026.109979_b9","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.bspc.2026.109979_b10","series-title":"Computer Vision \u2013 ECCV 2006","first-page":"404","article-title":"SURF: speeded up robust features","author":"Bay","year":"2006"},{"key":"10.1016\/j.bspc.2026.109979_b11","doi-asserted-by":"crossref","unstructured":"Y. Su, M. Saleh, T. Fetzer, J. Rambach, N. Navab, B. Busam, D. Stricker, F. Tombari, ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 6738\u20136748.","DOI":"10.1109\/CVPR52688.2022.00662"},{"key":"10.1016\/j.bspc.2026.109979_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.127652","article-title":"TransPose: 6D object pose estimation with geometry-aware transformer","volume":"589","author":"Lin","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.bspc.2026.109979_b13","series-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","first-page":"5105","article-title":"Pointnet++: deep hierarchical feature learning on point sets in a metric space","author":"Qi","year":"2017"},{"key":"10.1016\/j.bspc.2026.109979_b14","series-title":"AAAI-25, Sponsored By the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA","first-page":"21824","article-title":"Why does dropping edges usually outperform adding edges in graph contrastive learning?","author":"Xu","year":"2025"},{"key":"10.1016\/j.bspc.2026.109979_b15","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2024.3459932","article-title":"ES-GNN: Generalizing graph neural networks beyond homophily with edge splitting","author":"Guo","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"C","key":"10.1016\/j.bspc.2026.109979_b16","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.neunet.2023.08.002","article-title":"Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks","volume":"167","author":"Spinelli","year":"2023","journal-title":"Neural Netw."},{"key":"10.1016\/j.bspc.2026.109979_b17","series-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"10.1016\/j.bspc.2026.109979_b18","series-title":"International Conference on Learning Representations","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2018"},{"key":"10.1016\/j.bspc.2026.109979_b19","series-title":"Learning from graph-structured data: Addressing design issues and exploring practical applications in graph representation learning","author":"Hua","year":"2024"},{"key":"10.1016\/j.bspc.2026.109979_b20","first-page":"1","article-title":"Graph convolutional neural networks with diverse negative samples via decomposed determinant point processes","author":"Duan","year":"2023","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"key":"10.1016\/j.bspc.2026.109979_b21","first-page":"8291","article-title":"Vision gnn: An image is worth graph of nodes","volume":"35","author":"Han","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.bspc.2026.109979_b22","series-title":"Frontiers of Computer Vision: 27th International Workshop, IW-FCV 2021, Daegu, South Korea, February 22\u201323, 2021, Revised Selected Papers 27","first-page":"253","article-title":"Gcn-calculated graph-feature embedding for 3d endoscopic system based on active stereo","author":"Mikamo","year":"2021"},{"key":"10.1016\/j.bspc.2026.109979_b23","series-title":"Pose-GNN : Camera pose estimation system using graph neural networks","author":"Elmoogy","year":"2021"},{"issue":"3","key":"10.1016\/j.bspc.2026.109979_b24","doi-asserted-by":"crossref","first-page":"2718","DOI":"10.1109\/TIE.2021.3070501","article-title":"Pseudo-siamese graph matching network for textureless objects\u2019 6-d pose estimation","volume":"69","author":"Wu","year":"2022","journal-title":"IEEE Trans. Ind. Electron."},{"key":"10.1016\/j.bspc.2026.109979_b25","series-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3773","article-title":"DGECN: A depth-guided edge convolutional network for end-to-end 6D pose estimation","author":"Cao","year":"2022"},{"key":"10.1016\/j.bspc.2026.109979_b26","doi-asserted-by":"crossref","unstructured":"R. Lian, H. Ling, CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 14022\u201314033.","DOI":"10.1109\/ICCV51070.2023.01289"},{"issue":"3","key":"10.1016\/j.bspc.2026.109979_b27","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1007\/s11548-018-1814-7","article-title":"Head-mounted display augmented reality to guide pedicle screw placement utilizing computed tomography","volume":"14","author":"Gibby","year":"2019","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"2","key":"10.1016\/j.bspc.2026.109979_b28","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1109\/TMI.2020.3037013","article-title":"Development and pre-clinical analysis of spatiotemporal-aware augmented reality in orthopedic interventions","volume":"40","author":"Fotouhi","year":"2021","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"19","key":"10.1016\/j.bspc.2026.109979_b29","doi-asserted-by":"crossref","first-page":"9955","DOI":"10.3390\/ijerph18199955","article-title":"Augmented reality-assisted craniotomy for parasagittal and convexity en plaque meningiomas and custom-made cranio-plasty: A preliminary laboratory report","volume":"18","author":"Montemurro","year":"2021","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"4","key":"10.1016\/j.bspc.2026.109979_b30","doi-asserted-by":"crossref","first-page":"137","DOI":"10.2176\/jns-nmc.2022-0278","article-title":"Augmented reality in stereotactic neurosurgery: current status and issues","volume":"63","author":"Satoh","year":"2023","journal-title":"Neurol. Medico-Chirurgica"},{"key":"10.1016\/j.bspc.2026.109979_b31","series-title":"Computer Graphics International Conference","first-page":"135","article-title":"Automated marker-less patient-to-preoperative medical image registration approach using RGB-d images and facial landmarks for potential use in computed-aided surgical navigation of the paranasal sinus","author":"Kim","year":"2023"},{"key":"10.1016\/j.bspc.2026.109979_b32","article-title":"Intraoperative image guidance in neurosurgery: Development, current indications, and future trends","volume":"2012","author":"Schulz","year":"2012","journal-title":"Radiol. Res. Pr."},{"key":"10.1016\/j.bspc.2026.109979_b33","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11629","article-title":"PVN3D: A deep point-wise 3D keypoints voting network for 6dof pose estimation","author":"He","year":"2020"},{"issue":"2","key":"10.1016\/j.bspc.2026.109979_b34","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s11263-008-0152-6","article-title":"EPnP: An accurate O(n) solution to the PnP problem","volume":"81","author":"Lepetit","year":"2009","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.bspc.2026.109979_b35","series-title":"2023 31st Irish Conference on Artificial Intelligence and Cognitive Science","first-page":"1","article-title":"Connecting the dots: Graph neural network powered ensemble and classification of medical images","author":"Singh","year":"2023"},{"key":"10.1016\/j.bspc.2026.109979_b36","series-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5686","article-title":"Deep high-resolution representation learning for human pose estimation","author":"Sun","year":"2019"},{"key":"10.1016\/j.bspc.2026.109979_b37","series-title":"Discovering Knowledge in Data: an Introduction To Data Mining","first-page":"149","article-title":"K-nearest neighbor algorithm","author":"Larose","year":"2014"},{"key":"10.1016\/j.bspc.2026.109979_b38","first-page":"3438","article-title":"Measuring and relieving the over-smoothing problem for graph neural networks from the topological view","volume":"vol. 34","author":"Deli","year":"2020"},{"key":"10.1016\/j.bspc.2026.109979_b39","article-title":"Medical image analysis using deep learning algorithms","volume":"11","author":"Li","year":"2023","journal-title":"Front. Public Health"},{"key":"10.1016\/j.bspc.2026.109979_b40","series-title":"Computer Vision\u2013ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I 11","first-page":"548","article-title":"Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes","author":"Hinterstoisser","year":"2013"},{"key":"10.1016\/j.bspc.2026.109979_b41","article-title":"PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes","author":"Xiang","year":"2018","journal-title":"Robot.: Sci. Syst. XIV"},{"key":"10.1016\/j.bspc.2026.109979_b42","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"16555","article-title":"Cldice - a novel topology-preserving loss function for tubular structure segmentation","author":"Shit","year":"2021"},{"key":"10.1016\/j.bspc.2026.109979_b43","series-title":"3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015"},{"key":"10.1016\/j.bspc.2026.109979_b44","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3002","article-title":"FFB6d: A full flow bidirectional fusion network for 6D pose estimation","author":"He","year":"2021"},{"key":"10.1016\/j.bspc.2026.109979_b45","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102962","article-title":"A robust and interpretable deep learning framework for multi-modal registration via keypoints","volume":"90","author":"Wang","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.109979_b46","doi-asserted-by":"crossref","DOI":"10.1109\/TIP.2024.3378469","article-title":"Advancing 6-dof instrument pose estimation in variable X-Ray imaging geometries","author":"Viviers","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.bspc.2026.109979_b47","article-title":"Structure-aware DropEdge toward deep graph convolutional networks","author":"Han","year":"2023","journal-title":"IEEE Trans. Neural Networks Learn. Syst."}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426005331?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426005331?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T19:29:19Z","timestamp":1774034959000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426005331"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":47,"alternative-id":["S1746809426005331"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.109979","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Structure-aware graph neural networks for vascular pose estimation","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.109979","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":"109979"}}