{"id":"https://openalex.org/W4391407077","doi":"https://doi.org/10.1109/jbhi.2024.3360720","title":"Cross-Modal Vertical Federated Learning for MRI Reconstruction","display_name":"Cross-Modal Vertical Federated Learning for MRI Reconstruction","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391407077","doi":"https://doi.org/10.1109/jbhi.2024.3360720","pmid":"https://pubmed.ncbi.nlm.nih.gov/38294925"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3360720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3360720","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/A5041127024","display_name":"Yunlu Yan","orcid":"https://orcid.org/0009-0008-1679-0752"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yunlu Yan","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-1679-0752","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370943","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0002-6520-7681"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6520-7681","affiliations":[{"raw_affiliation_string":"Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524563","display_name":"Yawen Huang","orcid":"https://orcid.org/0000-0002-9569-269X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Huang","raw_affiliation_strings":["Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9569-269X","affiliations":[{"raw_affiliation_string":"Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057842658","display_name":"Nanjun He","orcid":"https://orcid.org/0000-0003-3105-6499"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanjun He","raw_affiliation_strings":["Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3105-6499","affiliations":[{"raw_affiliation_string":"Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016081925","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0003-3871-663X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-3871-663X","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0530-2123","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101710180","display_name":"Yuexiang Li","orcid":"https://orcid.org/0000-0001-8076-2619"},"institutions":[{"id":"https://openalex.org/I160354086","display_name":"Guangxi Medical University","ror":"https://ror.org/03dveyr97","country_code":"CN","type":"education","lineage":["https://openalex.org/I160354086"]},{"id":"https://openalex.org/I4210151238","display_name":"Center for Genomic Science","ror":"https://ror.org/04xbkmk86","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210151238"]}],"countries":["CN","IT"],"is_corresponding":false,"raw_author_name":"Yuexiang Li","raw_affiliation_strings":["Medical AI ReSearch (MARS) Group, Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China","Medical AI ReSearch (MARS) Group, Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8076-2619","affiliations":[{"raw_affiliation_string":"Medical AI ReSearch (MARS) Group, Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China","institution_ids":["https://openalex.org/I4210151238"]},{"raw_affiliation_string":"Medical AI ReSearch (MARS) Group, Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I160354086"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2195-2847","affiliations":[{"raw_affiliation_string":"Jarvis Research Center, Tencent YouTu Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1311,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97865225,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"28","issue":"11","first_page":"6384","last_page":"6394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9939000010490417,"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"}},"topics":[{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9939000010490417,"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":0.9805999994277954,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.7950683832168579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7603921890258789},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6342106461524963},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5818366408348083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5432795286178589},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4780757427215576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47483187913894653},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46829548478126526},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.440441757440567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3508865237236023},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0972924530506134}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7950683832168579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7603921890258789},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6342106461524963},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5818366408348083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5432795286178589},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4780757427215576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47483187913894653},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46829548478126526},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.440441757440567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3508865237236023},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0972924530506134},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"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":"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":"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":"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, 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":"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}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2024.3360720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3360720","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:38294925","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38294925","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},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-145010","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-145010","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W2107906890","https://openalex.org/W2338760177","https://openalex.org/W2442117232","https://openalex.org/W2773004715","https://openalex.org/W2790284322","https://openalex.org/W2902719825","https://openalex.org/W2912213068","https://openalex.org/W2923212559","https://openalex.org/W2979787545","https://openalex.org/W3021654819","https://openalex.org/W3034223847","https://openalex.org/W3092530614","https://openalex.org/W3123459983","https://openalex.org/W3157076986","https://openalex.org/W3164712068","https://openalex.org/W3173155476","https://openalex.org/W3175307072","https://openalex.org/W3202624106","https://openalex.org/W3202812631","https://openalex.org/W3204249496","https://openalex.org/W4225978071","https://openalex.org/W4226133625","https://openalex.org/W4286220311","https://openalex.org/W4298352247","https://openalex.org/W4386071594","https://openalex.org/W6728757088","https://openalex.org/W6749824362","https://openalex.org/W6755625687","https://openalex.org/W6755891590","https://openalex.org/W6761687776","https://openalex.org/W6765541894","https://openalex.org/W6770046221","https://openalex.org/W6773817997","https://openalex.org/W6782646009","https://openalex.org/W6789305514","https://openalex.org/W6797260031","https://openalex.org/W6848993857"],"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/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Federated":[0,109],"learning":[1,75],"enables":[2],"multiple":[3,81],"hospitals":[4,26,82,209],"to":[5,37,154,168,189],"cooperatively":[6],"learn":[7],"a":[8,18,33,87,101,105,176],"shared":[9],"model":[10],"without":[11],"privacy":[12],"disclosure.":[13],"Existing":[14],"methods":[15],"often":[16],"take":[17],"common":[19],"assumption":[20],"that":[21,224],"the":[22,28,44,54,59,95,123,137,163,170,186,192,205,212],"data":[23,79,92,156,207],"from":[24,80,94,196,208],"different":[25,49,84,130,133,143,197],"have":[27,83],"same":[29,60,96,127],"modalities.":[30,144,198],"However,":[31],"such":[32,100],"setting":[34],"is":[35,182],"difficult":[36],"fully":[38,203],"satisfy":[39],"in":[40,77],"practical":[41],"applications,":[42],"since":[43],"imaging":[45],"guidelines":[46],"may":[47],"be":[48],"between":[50],"hospitals,":[51],"which":[52,78],"makes":[53],"number":[55],"of":[56,62,90],"individuals":[57],"with":[58,86,129],"set":[61],"modalities":[63,85,131],"limited.":[64],"To":[65,98],"this":[66,70],"end,":[67],"we":[68,103],"formulate":[69],"practical-yet-challenging":[71],"cross-modal":[72],"vertical":[73],"federated":[74],"task,":[76],"small":[88],"amount":[89],"multi-modality":[91],"collected":[93],"individuals.":[97],"tackle":[99],"situation,":[102],"develop":[104],"novel":[106],"framework,":[107],"namely":[108],"Consistent":[110],"Regularization":[111],"constrained":[112],"Feature":[113],"Disentanglement":[114],"(Fed-CRFD),":[115],"for":[116,185],"boosting":[117],"MRI":[118,221,230],"reconstruction":[119,231],"by":[120,142],"effectively":[121],"exploring":[122],"overlapping":[124,187],"samples":[125,188],"(i.e.,":[126],"patients":[128],"at":[132],"hospitals)":[134],"and":[135,159],"solving":[136],"domain":[138,171,213],"shift":[139,172,214],"problem":[140],"caused":[141],"Particularly,":[145],"our":[146,200,225],"Fed-CRFD":[147],"involves":[148],"an":[149],"intra-client":[150],"feature":[151],"disentangle":[152],"scheme":[153],"decouple":[155],"into":[157],"modality-invariant":[158,164,193],"modality-specific":[160],"features,":[161],"where":[162],"features":[165,194],"are":[166],"leveraged":[167],"mitigate":[169],"problem.":[173,215],"In":[174],"addition,":[175],"cross-client":[177],"latent":[178],"representation":[179],"consistency":[180],"constraint":[181],"proposed":[183],"specifically":[184],"further":[190],"align":[191],"extracted":[195],"Hence,":[199],"method":[201],"can":[202],"exploit":[204],"multi-source":[206],"while":[210],"alleviating":[211],"Extensive":[216],"experiments":[217],"on":[218],"two":[219],"typical":[220],"datasets":[222],"demonstrate":[223],"network":[226],"clearly":[227],"outperforms":[228],"state-of-the-art":[229],"methods.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}