{"id":"https://openalex.org/W7126021846","doi":"https://doi.org/10.1109/bibm66473.2025.11357042","title":"FedPMR: Personalized Prototype-Based Federated Learning for Accelerated Magnetic Resonance Image Reconstruction","display_name":"FedPMR: Personalized Prototype-Based Federated Learning for Accelerated Magnetic Resonance Image Reconstruction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126021846","doi":"https://doi.org/10.1109/bibm66473.2025.11357042"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5124268683","display_name":"Jing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748162","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0003-4961-5092"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124156560","display_name":"Siyuan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Luo","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoran Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoran Guo","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124177058","display_name":"Jiayi Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Yin","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336774","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-6566-1406"},"institutions":[{"id":"https://openalex.org/I4210113495","display_name":"Children's Hospital of Zhejiang University","ror":"https://ror.org/025fyfd20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210113495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Children&#x0027;s Hospital, Zhejiang University School of Medicine,Department of Data and Information,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Children&#x0027;s Hospital, Zhejiang University School of Medicine,Department of Data and Information,Hangzhou,China","institution_ids":["https://openalex.org/I4210113495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124198924","display_name":"Zehua Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Yuan","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124289845","display_name":"Gang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113495","display_name":"Children's Hospital of Zhejiang University","ror":"https://ror.org/025fyfd20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210113495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yu","raw_affiliation_strings":["Children&#x0027;s Hospital, Zhejiang University School of Medicine,Department of Data and Information,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Children&#x0027;s Hospital, Zhejiang University School of Medicine,Department of Data and Information,Hangzhou,China","institution_ids":["https://openalex.org/I4210113495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124181589","display_name":"Bo Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Lin","raw_affiliation_strings":["Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Innovation Centre for Information, Binjiang Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80563022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2945","last_page":"2952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7206000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7206000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05779999867081642,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.621399998664856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5584999918937683},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5037999749183655},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4530999958515167},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42160001397132874},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41659998893737793},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.373199999332428},{"id":"https://openalex.org/keywords/image-sharing","display_name":"Image sharing","score":0.3693999946117401},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.3675000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519999742507935},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.621399998664856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.527899980545044},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5037999749183655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4537999927997589},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C2780639701","wikidata":"https://www.wikidata.org/wiki/Q354869","display_name":"Image sharing","level":3,"score":0.3693999946117401},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2784000039100647},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C512654426","wikidata":"https://www.wikidata.org/wiki/Q19652","display_name":"Public domain","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4632166028022766,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W2442117232","https://openalex.org/W2796670799","https://openalex.org/W2900954917","https://openalex.org/W2902719825","https://openalex.org/W2912213068","https://openalex.org/W2995022099","https://openalex.org/W3003650457","https://openalex.org/W3089971547","https://openalex.org/W3175307072","https://openalex.org/W4224441431","https://openalex.org/W4224879845","https://openalex.org/W4283796083","https://openalex.org/W4298352247","https://openalex.org/W4308637617","https://openalex.org/W4382463479","https://openalex.org/W4386071594","https://openalex.org/W4386076561","https://openalex.org/W4390872418","https://openalex.org/W4393156671"],"related_works":[],"abstract_inverted_index":{"Fast":[0],"and":[1,23,105,141,158,187,221],"accurate":[2],"reconstruction":[3,34],"of":[4,86,144,206,215],"magnetic":[5],"resonance":[6],"(MR)":[7],"images":[8],"from":[9],"under-sampled":[10],"data":[11,98],"can":[12],"significantly":[13],"reduce":[14],"MR":[15,32,96,126],"scan":[16],"times,":[17],"leading":[18],"to":[19,38,72,100],"improved":[20],"equipment":[21],"utilization":[22],"enhanced":[24],"patient":[25,53],"comfort.":[26],"Applying":[27],"federated":[28],"learning":[29],"(FL)":[30],"in":[31,43,83,94,102,134,185,192,209],"image":[33,87,97,127,210],"enables":[35],"multiple":[36,139],"hospitals":[37],"collaboratively":[39,130],"train":[40],"a":[41,44,108,181,188],"model":[42],"distributed":[45],"manner":[46],"without":[47],"aggregating":[48],"local":[49,145],"data,":[50],"thereby":[51],"protecting":[52],"privacy.":[54],"Prototype-based":[55],"FL":[56,77,122],"further":[57],"optimizes":[58],"communication":[59,168],"costs":[60,169],"by":[61,147],"sharing":[62],"lightweight":[63],"representatives":[64],"as":[65],"global":[66],"knowledge":[67],"for":[68,124,194],"multisite":[69],"collaboration.":[70],"However,":[71],"our":[73],"knowledge,":[74],"existing":[75],"prototypebased":[76],"methods":[78],"have":[79],"not":[80,165],"been":[81],"explored":[82],"the":[84,118,135,203,213],"context":[85],"generation":[88],"tasks.":[89],"Moreover,":[90],"tackling":[91],"domain":[92,198],"shifts":[93],"multi-site":[95],"due":[99],"differences":[101],"sequences,":[103],"scanners,":[104],"diseases":[106],"presents":[107],"significant":[109],"challenge.":[110],"To":[111],"address":[112],"these":[113],"issues,":[114],"we":[115,201],"propose":[116],"FedPMR,":[117],"first":[119],"personalized":[120],"prototype-based":[121],"framework":[123],"accelerated":[125],"reconstruction.":[128],"FedPMR":[129,164],"searches":[131],"semantic":[132],"features":[133],"approximate":[136],"direction":[137],"across":[138],"sites":[140],"improves":[142],"generalization":[143],"models":[146],"integrating":[148],"common":[149],"knowledge.":[150],"Extensive":[151],"experiments":[152],"conducted":[153],"on":[154],"three":[155],"public":[156],"datasets":[157],"one":[159],"private":[160],"dataset":[161],"demonstrate":[162],"that":[163],"only":[166],"reduces":[167],"(<tex":[170],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[171],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$236.70":[172],"\\text{Mb}":[173],"\\rightarrow":[174],"8":[175],"~\\text{Kb}$</tex>),":[176],"but":[177],"also":[178],"achieves":[179],"approximately":[180],"3.0":[182],"%":[183,190],"improvement":[184,191],"SSIM":[186],"4.9":[189],"PSNR":[193],"clients":[195],"experiencing":[196],"greater":[197],"shift.":[199],"Additionally,":[200],"explore":[202],"optimal":[204],"selection":[205],"collaborative":[207],"prototypes":[208],"generation,":[211],"including":[212],"effects":[214],"location,":[216],"scale,":[217],"dimensionality":[218],"reduction":[219],"methods,":[220],"multi-scale":[222],"fusion.":[223]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-30T00:00:00"}