{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T05:06:29Z","timestamp":1784005589981,"version":"3.55.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["62572284"],"award-info":[{"award-number":["62572284"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Shandong Province Project","award":["ZR2024ZD12"],"award-info":[{"award-number":["ZR2024ZD12"]}]},{"name":"High Level Innovation Team of in Jinan","award":["202534004"],"award-info":[{"award-number":["202534004"]}]},{"DOI":"10.13039\/501100009331","name":"Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support","doi-asserted-by":"publisher","award":["ZLRK202330"],"award-info":[{"award-number":["ZLRK202330"]}],"id":[{"id":"10.13039\/501100009331","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tmi.2026.3676039","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T19:58:34Z","timestamp":1774036714000},"page":"3438-3450","source":"Crossref","is-referenced-by-count":0,"title":["Progressive Orthodontic Motion Planning Based on Hierarchical Diffusion Transformer"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9573-7730","authenticated-orcid":false,"given":"Yeying","family":"Fan","sequence":"first","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6950-3261","authenticated-orcid":false,"given":"Yuanfeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3247-8646","authenticated-orcid":false,"given":"Weijie","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6045-4392","authenticated-orcid":false,"given":"Guangshun","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3798-4504","authenticated-orcid":false,"given":"Zhiming","family":"Cui","sequence":"additional","affiliation":[{"name":"ShanghaiTech University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1385-1480","authenticated-orcid":false,"given":"Yiran","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5774-1916","authenticated-orcid":false,"given":"Yong-Jin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2284-3952","authenticated-orcid":false,"given":"Wenping","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Texas A&#x0026;M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/dj9100117"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23321-0_42"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/3624515"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1544\/1\/012017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i2.27935"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2024.102293"},{"key":"ref7","first-page":"9902","article-title":"Planning with diffusion for flexible behavior synthesis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"J\u00e4nner"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_29"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417771"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59716-0_11"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3218028"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02171"},{"key":"ref14","article-title":"CoAtNeXt: An attention-enhanced ConvNeXtV2-transformer hybrid model for gastric tissue classification","author":"Yurdakul","year":"2025","journal-title":"arXiv:2509.09242"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3564213"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/ima.70159"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14143"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3289760"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29637-2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01102"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3007520"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3313795"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2025.3588466"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3440009"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2025.3543091"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3180343"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3265000"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2022.102077"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2022.101138"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3504866"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3722\/cadaps.2013.371-398"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-016-1475-3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32254-0_39"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72390-2_30"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3413857"},{"key":"ref36","first-page":"2843","article-title":"Human motion diffusion model","volume-title":"Proc. 11th Int. Conf. Learn. Represent. (ICLR)","author":"Tevet"},{"key":"ref37","first-page":"10021","article-title":"LION: Latent point diffusion models for 3D shape generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst. 35","author":"Fidler"},{"key":"ref38","first-page":"67960","article-title":"DiT-3D: Exploring plain diffusion transformers for 3D shape generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst. 36","author":"Chu"},{"key":"ref39","article-title":"PolyDiff: Generating 3D polygonal meshes with diffusion models","author":"Alliegro","year":"2023","journal-title":"arXiv:2312.11417"},{"key":"ref40","article-title":"MeshDiffusion: Score-based generative 3D mesh modeling","author":"Liu","year":"2023","journal-title":"arXiv:2303.08133"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00151"},{"key":"ref42","first-page":"53729","article-title":"Simple hierarchical planning with diffusion","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Chen"},{"key":"ref43","first-page":"4117","article-title":"Hierarchical vaes know what they don\u2019t know","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Havtorn"},{"key":"ref44","first-page":"19667","article-title":"NVAE: A deep hierarchical variational autoencoder","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Vahdat"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(99)00052-1"},{"key":"ref46","article-title":"ArCHer: Training language model agents via hierarchical multi-turn RL","author":"Zhou","year":"2024","journal-title":"arXiv:2402.19446"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref50","first-page":"12606","article-title":"Scaling rectified flow transformers for high-resolution image synthesis","volume-title":"Proc. 41st Int. Conf. Mach. Learn. (ICML)","volume":"235","author":"Esser"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.00616"},{"key":"ref52","first-page":"20035","article-title":"Hierarchical diffusion for offline decision making","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref53","article-title":"Gated graph sequence neural networks","author":"Li","year":"2015","journal-title":"arXiv:1511.05493"},{"key":"ref54","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Gilmer"},{"issue":"20","key":"ref55","first-page":"10","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"Stat"},{"key":"ref56","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref57","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Qi"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00084"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00088"},{"key":"ref60","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020","journal-title":"arXiv:2010.02502"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2025.102436"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-04138-7"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11606328\/11449349.pdf?arnumber=11449349","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T04:39:21Z","timestamp":1784003961000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11449349\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":62,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2026.3676039","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}