{"id":"https://openalex.org/W4406610249","doi":"https://doi.org/10.1109/lsp.2025.3531848","title":"FDDM: Frequency-Decomposed Diffusion Model for Dose Prediction in Radiotherapy","display_name":"FDDM: Frequency-Decomposed Diffusion Model for Dose Prediction in Radiotherapy","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406610249","doi":"https://doi.org/10.1109/lsp.2025.3531848"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3531848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3531848","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112240636","display_name":"Xin Di Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Liao","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-3178-7623","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109729509","display_name":"Zhenghao Feng","orcid":"https://orcid.org/0009-0007-3211-3279"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghao Feng","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0007-3211-3279","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009334041","display_name":"Jianghong Xiao","orcid":"https://orcid.org/0000-0002-2514-1614"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianghong Xiao","raw_affiliation_strings":["Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2514-1614","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051630281","display_name":"Xingchen Peng","orcid":"https://orcid.org/0000-0001-7042-718X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingchen Peng","raw_affiliation_strings":["Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7042-718X","affiliations":[{"raw_affiliation_string":"Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733310","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-8843-8685"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8843-8685","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112240636"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":1.6609,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76936013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"721","last_page":"725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5294268727302551},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.4742421507835388},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.45146867632865906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16379597783088684},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1473332941532135},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12688273191452026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5294268727302551},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.4742421507835388},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.45146867632865906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16379597783088684},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1473332941532135},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12688273191452026},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3531848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3531848","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6622944791","display_name":null,"funder_award_id":"62371325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2119298887","https://openalex.org/W2164718209","https://openalex.org/W2183101157","https://openalex.org/W2756545703","https://openalex.org/W2787091153","https://openalex.org/W2791897958","https://openalex.org/W2900148384","https://openalex.org/W2921903201","https://openalex.org/W2983735215","https://openalex.org/W3026792403","https://openalex.org/W3171527745","https://openalex.org/W3216919020","https://openalex.org/W4200048078","https://openalex.org/W4254902779","https://openalex.org/W4296054731","https://openalex.org/W4386065404","https://openalex.org/W4386066464","https://openalex.org/W4387225552","https://openalex.org/W4389347891","https://openalex.org/W6744422213","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accurate":[0],"dose":[1,80,98,111,158,164],"distribution":[2],"prediction":[3,30],"is":[4,122],"crucial":[5],"in":[6,42,47,134,152],"the":[7,24,75,79,109,127,153,157,162,173],"radiotherapy":[8],"planning.":[9],"Although":[10],"previous":[11],"methods":[12],"based":[13],"on":[14,168],"convolutional":[15],"neural":[16],"network":[17],"have":[18,23],"shown":[19],"promising":[20],"performance,":[21],"they":[22],"problem":[25],"of":[26,78,156,161,175],"over-smoothing,":[27],"leading":[28],"to":[29,93,107],"without":[31],"important":[32],"high-frequency":[33,52,76,119,135,154],"details.":[34],"Recently,":[35],"diffusion":[36,150],"model":[37],"has":[38],"achieved":[39],"great":[40],"success":[41],"computer":[43],"vision,":[44],"which":[45],"excels":[46],"generating":[48],"images":[49],"with":[50],"more":[51],"details,":[53],"yet":[54],"suffers":[55],"from":[56],"time-consuming":[57],"and":[58,100,117,131],"extensive":[59],"computational":[60],"resource":[61],"consumption.":[62],"To":[63,82],"alleviate":[64],"these":[65],"problems,":[66],"we":[67,85,138],"propose":[68],"Frequency-Decomposed":[69],"Diffusion":[70],"Model":[71],"(FDDM)":[72],"that":[73,148],"refines":[74],"subbands":[77],"map.":[81,165],"be":[83],"specific,":[84],"design":[86,139],"a":[87,96,114,123,140],"Coarse":[88],"Dose":[89],"Prediction":[90],"Module":[91,146],"(CDPM)":[92],"first":[94],"predict":[95],"coarse":[97,110,128],"map":[99,112,159],"then":[101],"utilize":[102],"2D":[103],"discrete":[104],"wavelet":[105],"transform":[106],"decompose":[108],"into":[113],"low-frequency":[115],"subband":[116],"three":[118],"subbands.":[120,136],"There":[121],"notable":[124],"difference":[125],"between":[126],"predicted":[129],"results":[130],"ground":[132],"truth":[133],"Therefore,":[137],"diffusion-based":[141],"module":[142],"called":[143],"High-Frequency":[144],"Refinement":[145],"(HFRM)":[147],"performs":[149],"operation":[151],"components":[155],"instead":[160],"original":[163],"Extensive":[166],"experiments":[167],"two":[169],"in-house":[170],"datasets":[171],"verify":[172],"effectiveness":[174],"our":[176],"approach.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}