{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T22:07:34Z","timestamp":1780956454997,"version":"3.54.1"},"reference-count":52,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012149","name":"National Key Scientific Instrument and Equipment Development Projects of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012149","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113711","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T14:57:26Z","timestamp":1776697046000},"page":"113711","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["Bones to identity: Generative contrastive fusion for cross-modality medical person identification from skeletal data"],"prefix":"10.1016","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7146-7677","authenticated-orcid":false,"given":"Chaoqun","family":"Niu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongdong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jizhe","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan-Hui","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caiyang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Ju","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiancheng","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2026.113711_b1","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s00414-019-02186-y","article-title":"Identification of human remains using Rapid DNA analysis","volume":"134","author":"Turingan","year":"2020","journal-title":"Int. J. Legal Med."},{"key":"10.1016\/j.patcog.2026.113711_b2","doi-asserted-by":"crossref","unstructured":"J. Deng, J. Guo, N. Xue, S. Zafeiriou, Arcface: Additive angular margin loss for deep face recognition, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 4690\u20134699.","DOI":"10.1109\/CVPR.2019.00482"},{"key":"10.1016\/j.patcog.2026.113711_b3","doi-asserted-by":"crossref","unstructured":"H.\u0130. \u00d6zt\u00fcrk, B. Selbes, Y. Artan, Minnet: Minutia patch embedding network for automated latent fingerprint recognition, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 1627\u20131635.","DOI":"10.1109\/CVPRW56347.2022.00169"},{"issue":"1","key":"10.1016\/j.patcog.2026.113711_b4","first-page":"26","article-title":"Challenging DNA: assessment of a range of genotyping approaches for highly degraded forensic samples","volume":"1","author":"Fondevila","year":"2008","journal-title":"Forensic Sci. Int.: Genet. Suppl. Ser."},{"issue":"2","key":"10.1016\/j.patcog.2026.113711_b5","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.jofri.2014.02.039","article-title":"RADid: a pictorial review of radiologic identification using postmortem CT","volume":"2","author":"Hatch","year":"2014","journal-title":"J. Forensic Radiol. Imaging"},{"key":"10.1016\/j.patcog.2026.113711_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.fri.2021.200465","article-title":"Dental radiographic identification using ante-mortem CT, cone-beam CT, and MRI head and neck assessments","volume":"26","author":"Fujimoto","year":"2021","journal-title":"Forensic Imaging"},{"key":"10.1016\/j.patcog.2026.113711_b7","doi-asserted-by":"crossref","first-page":"944","DOI":"10.1109\/TMM.2023.3273924","article-title":"MsgFusion: Medical semantic guided two-branch network for multimodal brain image fusion","volume":"26","author":"Wen","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113711_b8","doi-asserted-by":"crossref","unstructured":"C. Niu, D. Chen, J. Zhou, J. Wang, X. Luo, Q.-H. Liu, Y. Li, J. Lv, Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 7609\u20137618.","DOI":"10.1145\/3664647.3681174"},{"key":"10.1016\/j.patcog.2026.113711_b9","doi-asserted-by":"crossref","unstructured":"X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, R.M. Summers, Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 2097\u20132106.","DOI":"10.1109\/CVPR.2017.369"},{"issue":"1","key":"10.1016\/j.patcog.2026.113711_b10","doi-asserted-by":"crossref","first-page":"14851","DOI":"10.1038\/s41598-022-19045-3","article-title":"Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data","volume":"12","author":"Packh\u00e4user","year":"2022","journal-title":"Sci. Rep."},{"issue":"5","key":"10.1016\/j.patcog.2026.113711_b11","doi-asserted-by":"crossref","first-page":"1941","DOI":"10.1007\/s10278-023-00850-9","article-title":"Patient identification based on deep metric learning for preventing human errors in follow-up X-ray examinations","volume":"36","author":"Ueda","year":"2023","journal-title":"J. Digit. Imaging"},{"issue":"2","key":"10.1016\/j.patcog.2026.113711_b12","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1111\/1556-4029.14199","article-title":"A pilot study comparing postmortem and antemortem CT for the identification of unknowns: Could a forensic pathologist do it?","volume":"65","author":"Ali","year":"2020","journal-title":"J. Forensic Sci."},{"issue":"3","key":"10.1016\/j.patcog.2026.113711_b13","doi-asserted-by":"crossref","first-page":"158","DOI":"10.4103\/jfo.jfds_13_18","article-title":"Antemortem dental records versus individual identification","volume":"10","author":"Thampan","year":"2018","journal-title":"J. Forensic Dent. Sci."},{"issue":"2","key":"10.1016\/j.patcog.2026.113711_b14","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1097\/PAF.0000000000000223","article-title":"Establishing standards for side-by-side radiographic comparisons","volume":"37","author":"Ross","year":"2016","journal-title":"Am. J. Forensic Med. Pathol."},{"key":"10.1016\/j.patcog.2026.113711_b15","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s11604-017-0632-0","article-title":"Usefulness of 2D fusion of postmortem CT and antemortem chest radiography studies for human identification","volume":"35","author":"Shinkawa","year":"2017","journal-title":"Jpn. J. Radiol."},{"key":"10.1016\/j.patcog.2026.113711_b16","unstructured":"R. Ishigami, T.T. Zin, N. Shinkawa, R. Nishii, Human identification using X-Ray image matching, in: Proceedings of the International Multi Conference of Engineers and Computer Scientists, Vol. 1, 2017."},{"issue":"2","key":"10.1016\/j.patcog.2026.113711_b17","first-page":"51","article-title":"Post-mortem human identification using chest x-ray and ct scan images","volume":"23","author":"Cho","year":"2018","journal-title":"Int. J. Biomed. Soft Comput. Hum. Sci.: Off. J. Biomed. Fuzzy Syst. Assoc."},{"issue":"6","key":"10.1016\/j.patcog.2026.113711_b18","article-title":"Patient reidentification from chest radiographs: an interpretable deep metric learning approach and its applications","volume":"5","author":"Macpherson","year":"2023","journal-title":"Radiol.: Artif. Intell."},{"key":"10.1016\/j.patcog.2026.113711_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108400","article-title":"CR-GAN: Automatic craniofacial reconstruction for personal identification","volume":"124","author":"Li","year":"2022","journal-title":"Pattern Recognit."},{"issue":"3","key":"10.1016\/j.patcog.2026.113711_b20","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1111\/1556-4029.12111","article-title":"Discrete traits of the sternum and ribs: a useful contribution to identification in forensic anthropology and medicine","volume":"58","author":"Verna","year":"2013","journal-title":"J. Forensic Sci."},{"key":"10.1016\/j.patcog.2026.113711_b21","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1007\/s00414-020-02430-w","article-title":"Forensic sex estimation using the vertebrae: an evaluation on two European populations","volume":"134","author":"Garoufi","year":"2020","journal-title":"Int. J. Legal Med."},{"issue":"5","key":"10.1016\/j.patcog.2026.113711_b22","doi-asserted-by":"crossref","first-page":"1855","DOI":"10.1007\/s00414-021-02581-4","article-title":"A review of visualization techniques of post-mortem computed tomography data for forensic death investigations","volume":"135","author":"Ebert","year":"2021","journal-title":"Int. J. Legal Med."},{"key":"10.1016\/j.patcog.2026.113711_b23","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1007\/s00330-012-2627-7","article-title":"Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations","volume":"23","author":"Neroladaki","year":"2013","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.patcog.2026.113711_b24","unstructured":"United Nations Scientific Committee on the Effects of Atomic Radiation, Sources and Effects of Ionizing Radiation, United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) 2008 Report, Volume I: Report to the General Assembly, with Scientific Annexes a and B-Sources, United Nations, 2010."},{"key":"10.1016\/j.patcog.2026.113711_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102125","article-title":"Deep learning for chest X-ray analysis: A survey","volume":"72","author":"\u00c7all\u0131","year":"2021","journal-title":"Med. Image Anal."},{"issue":"2","key":"10.1016\/j.patcog.2026.113711_b26","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1148\/radiol.2532082010","article-title":"Radiologic and nuclear medicine studies in the United States and worldwide: Frequency, radiation dose, and comparison with other radiation sources\u20141950\u20132007","volume":"253","author":"Mettler","year":"2009","journal-title":"Radiology"},{"key":"10.1016\/j.patcog.2026.113711_b27","series-title":"International Conference on Multimedia Modeling","first-page":"399","article-title":"Multi-view adaptive bone activation from chest X-Ray with conditional adversarial nets","author":"Niu","year":"2023"},{"key":"10.1016\/j.patcog.2026.113711_b28","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"24","article-title":"A virtual domain collaborative learning framework for semi-supervised microscopic hyperspectral image segmentation","author":"Qin","year":"2025"},{"key":"10.1016\/j.patcog.2026.113711_b29","article-title":"Learning compact semantic information and reliable pseudo-labels for incomplete multi-view multi-label classification","author":"Liu","year":"2026","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"10.1016\/j.patcog.2026.113711_b30","doi-asserted-by":"crossref","first-page":"11396","DOI":"10.1109\/TNNLS.2023.3260349","article-title":"Deep double incomplete multi-view multi-label learning with incomplete labels and missing views","volume":"35","author":"Wen","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113711_b31","doi-asserted-by":"crossref","unstructured":"P. Isola, J.-Y. Zhu, T. Zhou, A.A. Efros, Image-to-image translation with conditional adversarial networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 1125\u20131134.","DOI":"10.1109\/CVPR.2017.632"},{"key":"10.1016\/j.patcog.2026.113711_b32","doi-asserted-by":"crossref","unstructured":"K. He, H. Fan, Y. Wu, S. Xie, R. Girshick, Momentum contrast for unsupervised visual representation learning, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 9729\u20139738.","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"10.1016\/j.patcog.2026.113711_b33","series-title":"International Conference on Machine Learning","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"10.1016\/j.patcog.2026.113711_b34","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.patcog.2026.113711_b35","series-title":"2015 Ieee Information Theory Workshop (Itw)","first-page":"1","article-title":"Deep learning and the information bottleneck principle","author":"Tishby","year":"2015"},{"key":"10.1016\/j.patcog.2026.113711_b36","doi-asserted-by":"crossref","unstructured":"C. Tang, T. Shen, X. Gong, C. Zhao, T. Zhang, DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis, in: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025, pp. 8250\u20138258.","DOI":"10.24963\/ijcai.2025\/917"},{"key":"10.1016\/j.patcog.2026.113711_b37","series-title":"Ultralytics YOLO","author":"Jocher","year":"2023"},{"key":"10.1016\/j.patcog.2026.113711_b38","series-title":"Similarity-Based Pattern Recognition: Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings 3","first-page":"84","article-title":"Deep metric learning using triplet network","author":"Hoffer","year":"2015"},{"key":"10.1016\/j.patcog.2026.113711_b39","series-title":"2020 25th International Conference on Pattern Recognition","first-page":"9415","article-title":"Improved residual networks for image and video recognition","author":"Duta","year":"2021"},{"key":"10.1016\/j.patcog.2026.113711_b40","doi-asserted-by":"crossref","unstructured":"H. Park, S. Lee, J. Lee, B. Ham, Learning by aligning: Visible-infrared person re-identification using cross-modal correspondences, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021, pp. 12046\u201312055.","DOI":"10.1109\/ICCV48922.2021.01183"},{"key":"10.1016\/j.patcog.2026.113711_b41","series-title":"Biometric Recognition: 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings 13","first-page":"428","article-title":"Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices","author":"Chen","year":"2018"},{"key":"10.1016\/j.patcog.2026.113711_b42","doi-asserted-by":"crossref","unstructured":"W. Dai, L. Lu, Z. Li, Diffusion-based synthetic data generation for visible-infrared person re-identification, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39, (11) 2025, pp. 11185\u201311193.","DOI":"10.1609\/aaai.v39i11.33216"},{"key":"10.1016\/j.patcog.2026.113711_b43","series-title":"Dehallu3D: Hallucination-mitigated 3D generation from single image via cyclic view consistency refinement","author":"Wang","year":"2026"},{"key":"10.1016\/j.patcog.2026.113711_b44","doi-asserted-by":"crossref","unstructured":"D. Chen, J. Tachella, M.E. Davies, Equivariant Imaging: learning beyond the range space, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, ICCV, 2021, pp. 4379\u20134388.","DOI":"10.1109\/ICCV48922.2021.00434"},{"key":"10.1016\/j.patcog.2026.113711_b45","doi-asserted-by":"crossref","first-page":"1706","DOI":"10.1109\/TMM.2024.3521763","article-title":"Accurate-PGNet: Learning to assemble perceptual body parts for accurate human skeleton establishment","volume":"27","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113711_b46","article-title":"Temporal-interim pose synthesis and distillation for dynamic human pose estimation","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"4","key":"10.1016\/j.patcog.2026.113711_b47","doi-asserted-by":"crossref","first-page":"2796","DOI":"10.1109\/TAFFC.2023.3259010","article-title":"MIA-net: Multi-modal interactive attention network for multi-modal affective analysis","volume":"14","author":"Li","year":"2023","journal-title":"IEEE Trans. Affect. Comput."},{"key":"10.1016\/j.patcog.2026.113711_b48","article-title":"Multimodal affect perception with large language model enhancement network","author":"Yang","year":"2025","journal-title":"IEEE Trans. Affect. Comput."},{"key":"10.1016\/j.patcog.2026.113711_b49","series-title":"International Conference on Machine Learning","first-page":"60749","article-title":"Image fusion via vision-language model","author":"Zhao","year":"2024"},{"key":"10.1016\/j.patcog.2026.113711_b50","article-title":"Contrastive adversarial tuning: Enhancing discriminability and robustness of LLMs for emotion recognition in conversation","author":"Lan","year":"2026","journal-title":"Pattern Recognit."},{"issue":"8","key":"10.1016\/j.patcog.2026.113711_b51","doi-asserted-by":"crossref","first-page":"10539","DOI":"10.1109\/TNNLS.2023.3242473","article-title":"Projective incomplete multi-view clustering","volume":"35","author":"Deng","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113711_b52","doi-asserted-by":"crossref","DOI":"10.1109\/TDSC.2025.3601175","article-title":"Dp-trae: A dual-phase merging transferable reversible adversarial example for image privacy protection","author":"Du","year":"2025","journal-title":"IEEE Trans. Depend. Secur. Comput."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S003132032600676X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S003132032600676X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T21:53:17Z","timestamp":1780955597000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S003132032600676X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":52,"alternative-id":["S003132032600676X"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113711","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Bones to identity: Generative contrastive fusion for cross-modality medical person identification from skeletal data","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113711","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":"113711"}}