{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T20:16:01Z","timestamp":1778271361228,"version":"3.51.4"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206005"],"award-info":[{"award-number":["62206005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62122059"],"award-info":[{"award-number":["62122059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tmi.2026.3652170","type":"journal-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:01:04Z","timestamp":1768255264000},"page":"2283-2294","source":"Crossref","is-referenced-by-count":0,"title":["CeLR: A Transformer-Based Regression Network for Accurate Cephalometric Landmark Detection in High-Resolution X-Ray Imaging"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3167-2614","authenticated-orcid":false,"given":"Jiakai","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Anhui Polytechnic University, Wuhu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2837-8016","authenticated-orcid":false,"given":"Yang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Anhui University of Technology, Maanshan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaolin","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Dai","sequence":"additional","affiliation":[{"name":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3005-3405","authenticated-orcid":false,"given":"Chunyu","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Anhui University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1259\/dmfr\/37010910"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajodo.2010.09.021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102486"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_97"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1259\/dmfr.20220362"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3222730"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_60"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/app122010190"},{"key":"ref9","article-title":"Uncertainty-aware U-Net for medical landmark detection","author":"Ye","year":"2023","journal-title":"arXiv:2303.10349"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/app10072547"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2021EDP7001"},{"key":"ref12","first-page":"262","article-title":"Locating cephalometric X-ray landmarks with foveated pyramid attention","volume-title":"Proc. Med. Imag. Deep Learn. (MIDL)","author":"Gilmour"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","first-page":"2366","article-title":"Explicit box detection unifies end-to-end multi-person pose estimation","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Yang"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16437-8_22"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73397-0_6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01325"},{"key":"ref18","first-page":"8587","article-title":"DINO: DETR with improved DeNoising anchor boxes for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zhang"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3149281"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3009002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2025.3557430"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI52829.2022.9761506"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-022-00718-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3002939"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101904"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01159"},{"key":"ref27","first-page":"7281","article-title":"HRFormer: High-resolution transformer for dense prediction","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Yuan"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20068-7_5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00414"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00320"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref33","first-page":"611","article-title":"An Image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Dosovitskiy"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01084"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.02.004"},{"key":"ref38","article-title":"CEPHA29: Automatic cephalometric landmark detection challenge 2023","author":"Anwaar Khalid","year":"2022","journal-title":"arXiv:2212.04808"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43907-0_66"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2412951"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajodo.2021.09.012"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20068-7_6"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124840"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IBDAP58581.2023.10271989"},{"key":"ref45","article-title":"HYATT-Net is grand: A hybrid attention network for performant anatomical landmark detection","author":"Zhou","year":"2024","journal-title":"arXiv:2412.06499"},{"key":"ref46","first-page":"1","article-title":"Fully automatic cephalometric evaluation using random forest regression-voting","volume-title":"Proc. IEEE Int. Symp. Biomed. Imag. (ISBI)","author":"Lindner"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11512112\/11343877.pdf?arnumber=11343877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:40:43Z","timestamp":1778269243000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11343877\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":46,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2026.3652170","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}