{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T19:10:27Z","timestamp":1738609827325,"version":"3.35.0"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62371325"],"award-info":[{"award-number":["62371325"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sichuan Science and Technology Program","award":["2023YFG0025"],"award-info":[{"award-number":["2023YFG0025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3531848","type":"journal-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T19:14:13Z","timestamp":1737400453000},"page":"721-725","source":"Crossref","is-referenced-by-count":0,"title":["FDDM: Frequency-Decomposed Diffusion Model for Dose Prediction in Radiotherapy"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3178-7623","authenticated-orcid":false,"given":"Xin","family":"Liao","sequence":"first","affiliation":[{"name":"School of Computer Science, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3211-3279","authenticated-orcid":false,"given":"Zhenghao","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2514-1614","authenticated-orcid":false,"given":"Jianghong","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7042-718X","authenticated-orcid":false,"given":"Xingchen","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8843-8685","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Sichuan University, Chengdu, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/jrr\/rry012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.prro.2011.11.012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aaef74"},{"article-title":"Dose prediction with U-net: A feasibility study for predicting dose distributions from contours using deep learning on prostate IMRT patients","year":"2017","author":"Nguyen","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.11.061"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2020.05.005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16449-1_55"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102339"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00909"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15034"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43987-2_19"},{"key":"ref14","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02160"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3618373"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00983"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/BF01456927"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2000.93.supplement_3.0219"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-3016(99)00183-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13490"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/10848196.pdf?arnumber=10848196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T18:34:48Z","timestamp":1738607688000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10848196\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3531848","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2025]]}}}