{"id":"https://openalex.org/W4406094260","doi":"https://doi.org/10.1109/jbhi.2025.3525854","title":"Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation","display_name":"Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4406094260","doi":"https://doi.org/10.1109/jbhi.2025.3525854","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030851"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3525854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3525854","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5110380351","display_name":"Qiushi Yang","orcid":"https://orcid.org/0000-0001-5737-5653"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Qiushi Yang","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082530816","display_name":"Meilu Zhu","orcid":"https://orcid.org/0000-0002-5563-7282"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Meilu Zhu","raw_affiliation_strings":["Department of Mechanical Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103724168","display_name":"Peter Yat Ming Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114914","display_name":"Prince of Wales Hospital","ror":"https://ror.org/02827ca86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294586568","https://openalex.org/I4210114914"]},{"id":"https://openalex.org/I1294586568","display_name":"Hospital Authority","ror":"https://ror.org/05sn8t512","country_code":"CN","type":"government","lineage":["https://openalex.org/I1294586568"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peter Y. M. Woo","raw_affiliation_strings":["Division of Neurosurgery, Department of Surgery, Hospital Authority, Prince of Wales Hospital, Hong Kong","Division of Neurosurgery, Department of Surgery, Prince of Wales Hospital, Hospital Authority, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Division of Neurosurgery, Department of Surgery, Hospital Authority, Prince of Wales Hospital, Hong Kong","institution_ids":["https://openalex.org/I1294586568"]},{"raw_affiliation_string":"Division of Neurosurgery, Department of Surgery, Prince of Wales Hospital, Hospital Authority, Hong Kong, China","institution_ids":["https://openalex.org/I1294586568","https://openalex.org/I4210114914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034651341","display_name":"Leanne Lai-Hang Chan","orcid":"https://orcid.org/0000-0002-9542-6666"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Leanne Lai-Hang Chan","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073968803","display_name":"Yixuan Yuan","orcid":"https://orcid.org/0000-0002-0853-6948"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Yuan","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110380351"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":7.6228,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96151625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":"5","first_page":"3159","last_page":"3170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015612363815308},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7126469612121582},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6057557463645935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383004546165466},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.49344030022621155},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.43655121326446533},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4342522919178009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41500186920166016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015612363815308},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7126469612121582},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6057557463645935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383004546165466},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.49344030022621155},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.43655121326446533},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4342522919178009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41500186920166016},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3525854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3525854","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40030851","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030851","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W2502805798","https://openalex.org/W2948097295","https://openalex.org/W2959466714","https://openalex.org/W2962678076","https://openalex.org/W2978111064","https://openalex.org/W2979447087","https://openalex.org/W2979787545","https://openalex.org/W2990761674","https://openalex.org/W3026661235","https://openalex.org/W3026963716","https://openalex.org/W3087642760","https://openalex.org/W3089464490","https://openalex.org/W3090336986","https://openalex.org/W3095207884","https://openalex.org/W3112044954","https://openalex.org/W3140317729","https://openalex.org/W3143351114","https://openalex.org/W3150684546","https://openalex.org/W3170435764","https://openalex.org/W3173155476","https://openalex.org/W3202544039","https://openalex.org/W3203934147","https://openalex.org/W3203976604","https://openalex.org/W4226101686","https://openalex.org/W4280618724","https://openalex.org/W4283796083","https://openalex.org/W4285817743","https://openalex.org/W4295938041","https://openalex.org/W4312284139","https://openalex.org/W4312775058","https://openalex.org/W4312869277","https://openalex.org/W4312935996","https://openalex.org/W4312940135","https://openalex.org/W4312950667","https://openalex.org/W4313023122","https://openalex.org/W4383343037","https://openalex.org/W4386071994","https://openalex.org/W4402716118","https://openalex.org/W4407461964","https://openalex.org/W6606078803","https://openalex.org/W6728757088","https://openalex.org/W6755166560","https://openalex.org/W6759238902","https://openalex.org/W6772027524","https://openalex.org/W6772307254","https://openalex.org/W6779460946","https://openalex.org/W6789305514","https://openalex.org/W6790899410","https://openalex.org/W6854708048"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"Multi-modal":[0,71],"Magnetic":[1],"Resonance":[2],"Imaging":[3],"(MRI)":[4],"provide":[5],"sufficient":[6],"complementary":[7],"information":[8],"for":[9,74,147,193],"brain":[10,55,75],"tumor":[11,56,76],"segmentation,":[12,77],"however,":[13],"most":[14,28],"current":[15],"approaches":[16],"rely":[17],"on":[18,32,216],"complete":[19],"modalities":[20],"and":[21,78,98,209],"may":[22,174],"collapse":[23],"with":[24,34,46,82],"incomplete":[25],"modalities.":[26],"Moreover,":[27,162],"existing":[29],"endeavors":[30],"focus":[31],"training":[33,65,114,160],"centralized":[35],"databases,":[36],"failing":[37],"to":[38,50,87,107,155,163],"make":[39],"full":[40],"use":[41],"of":[42,111,223],"distributed":[43,64,212],"multi-silo":[44],"datasets":[45],"rich":[47],"patient":[48],"data":[49],"learn":[51],"a":[52,90,127,134,143,148,157,189,205],"more":[53],"robust":[54,92],"segmentation":[57,93],"model.":[58],"In":[59],"this":[60],"paper,":[61],"considering":[62],"the":[63,104,109,117,165,168,177,211,217,221,224],"scenarios,":[66],"we":[67,121,179],"formulate":[68],"Federated":[69],"Incomplete":[70],"Learning":[72],"(FedIML)":[73],"propose":[79],"Progressive":[80,124],"distiLlation":[81],"Optimal":[83,181],"Transport":[84],"(PLOT)":[85],"framework":[86,226],"gradually":[88,144],"train":[89],"modality":[91,119,135],"model":[94,101,150,194],"at":[95,103,176],"each":[96,139],"client":[97],"achieve":[99,156,204],"compatible":[100,206],"aggregation":[102,208],"server.":[105],"Specifically,":[106],"remedy":[108],"issue":[110],"unstable":[112],"local":[113,159],"caused":[115],"by":[116,133],"random":[118],"input,":[120],"present":[122],"Modality":[123],"Distillation":[125],"(MPD),":[126],"multi-level":[128],"knowledge":[129,170],"distillation":[130],"strategy":[131],"guided":[132],"routing":[136],"mechanism.":[137],"At":[138],"client,":[140],"MPD":[141],"provides":[142],"learning":[145],"course":[146],"student":[149],"in":[151],"an":[152,198],"easy-to-hard":[153],"manner":[154],"stable":[158],"process.":[161],"address":[164],"problem":[166],"that":[167],"layer-wise":[169],"from":[171],"different":[172],"models":[173],"contradict,":[175],"server,":[178],"design":[180],"Transport-guided":[182],"Model":[183],"Aggregation":[184],"(OTMA)":[185],"strategy,":[186],"which":[187],"yields":[188],"global":[190],"alignment":[191],"solution":[192],"parameters":[195],"via":[196],"solving":[197],"optimal":[199],"transport":[200],"problem.":[201],"OTMA":[202],"can":[203],"parameter":[207],"boost":[210],"training.":[213],"Extensive":[214],"experiments":[215],"BraTS-2021":[218],"dataset":[219],"demonstrate":[220],"effectiveness":[222],"proposed":[225],"over":[227],"state-of-the-art":[228],"methods.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}