{"id":"https://openalex.org/W4415256966","doi":"https://doi.org/10.1109/tmi.2025.3622522","title":"FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA","display_name":"FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W4415256966","doi":"https://doi.org/10.1109/tmi.2025.3622522","pmid":"https://pubmed.ncbi.nlm.nih.gov/41100248"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3622522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3622522","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13180264/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100622894","display_name":"Minghan Li","orcid":"https://orcid.org/0000-0003-0055-9261"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210134579","display_name":"Dana-Farber/Harvard Cancer Center","ror":"https://ror.org/03pvyf116","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210117453","https://openalex.org/I4210134579"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minghan Li","raw_affiliation_strings":["Harvard AI and Robotics Laboratory and the Harvard Ophthalmology AI Laboratory, Harvard University, Boston, MA, USA","Harvard AI and Robotics Lab and Harvard Ophthalmology AI lab, Harvard University, Boston, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0003-0055-9261","affiliations":[{"raw_affiliation_string":"Harvard AI and Robotics Laboratory and the Harvard Ophthalmology AI Laboratory, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]},{"raw_affiliation_string":"Harvard AI and Robotics Lab and Harvard Ophthalmology AI lab, Harvard University, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062799681","display_name":"Congcong Wen","orcid":"https://orcid.org/0000-0001-6448-003X"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210134579","display_name":"Dana-Farber/Harvard Cancer Center","ror":"https://ror.org/03pvyf116","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210117453","https://openalex.org/I4210134579"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Congcong Wen","raw_affiliation_strings":["Harvard AI and Robotics Laboratory, Harvard University, Boston, MA, USA","Harvard AI and Robotics Lab, Harvard University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6448-003X","affiliations":[{"raw_affiliation_string":"Harvard AI and Robotics Laboratory, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]},{"raw_affiliation_string":"Harvard AI and Robotics Lab, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Tian","orcid":"https://orcid.org/0000-0001-5533-7506"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Tian","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, Orlando, FL, USA","Department of Computer Science, University of Central Florida, Florida, USA"],"raw_orcid":"https://orcid.org/0000-0001-5533-7506","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076712745","display_name":"Min Shi","orcid":"https://orcid.org/0000-0002-7200-1702"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Shi","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7200-1702","affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Luo","orcid":"https://orcid.org/0000-0001-5135-0316"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210134579","display_name":"Dana-Farber/Harvard Cancer Center","ror":"https://ror.org/03pvyf116","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210117453","https://openalex.org/I4210134579"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Luo","raw_affiliation_strings":["Harvard AI and Robotics Laboratory and the Harvard Ophthalmology AI Laboratory, Harvard University, Boston, MA, USA","Harvard AI and Robotics Lab and Harvard Ophthalmology AI lab, Harvard University, Boston, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0001-5135-0316","affiliations":[{"raw_affiliation_string":"Harvard AI and Robotics Laboratory and the Harvard Ophthalmology AI Laboratory, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]},{"raw_affiliation_string":"Harvard AI and Robotics Lab and Harvard Ophthalmology AI lab, Harvard University, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101667364","display_name":"Hao Huang","orcid":"https://orcid.org/0000-0002-9131-5854"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hao Huang","raw_affiliation_strings":["NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-9131-5854","affiliations":[{"raw_affiliation_string":"NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083935587","display_name":"Yi Fang","orcid":"https://orcid.org/0000-0001-9427-3883"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Yi Fang","raw_affiliation_strings":["NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0001-9427-3883","affiliations":[{"raw_affiliation_string":"NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"NYUAD Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100632182","display_name":"Mengyu Wang","orcid":"https://orcid.org/0000-0002-7188-7126"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210134579","display_name":"Dana-Farber/Harvard Cancer Center","ror":"https://ror.org/03pvyf116","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210117453","https://openalex.org/I4210134579"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengyu Wang","raw_affiliation_strings":["Harvard AI and Robotics Laboratory and the Harvard Ophthalmology AI Laboratory, Harvard University, Boston, MA, USA","Harvard AI and Robotics Lab and Harvard Ophthalmology AI lab, Harvard University, Boston, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-7188-7126","affiliations":[{"raw_affiliation_string":"Harvard AI and Robotics Laboratory and the Harvard Ophthalmology AI Laboratory, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]},{"raw_affiliation_string":"Harvard AI and Robotics Lab and Harvard Ophthalmology AI lab, Harvard University, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210134579"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9693,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74201292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"45","issue":"4","first_page":"1337","last_page":"1351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/benchmarking","display_name":"Benchmarking","score":0.8824999928474426},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7558000087738037},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.6087999939918518},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5831000208854675},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4072999954223633},{"id":"https://openalex.org/keywords/image-sharing","display_name":"Image sharing","score":0.3864000141620636},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3619000017642975}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8824999928474426},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7558000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253999710083008},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.6087999939918518},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5831000208854675},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4072999954223633},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39469999074935913},{"id":"https://openalex.org/C2780639701","wikidata":"https://www.wikidata.org/wiki/Q354869","display_name":"Image sharing","level":3,"score":0.3864000141620636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38100001215934753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3621000051498413},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C3018075012","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Medical services","level":3,"score":0.3499000072479248},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C45827449","wikidata":"https://www.wikidata.org/wiki/Q5270338","display_name":"Diagnosis code","level":3,"score":0.33059999346733093},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3061999976634979},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2759999930858612},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.26809999346733093}],"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2025.3622522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3622522","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41100248","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41100248","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 transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13180264","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13180264/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13180264","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13180264/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5577480459","display_name":"Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms for Glaucoma","funder_award_id":"1r21ey035298-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8652324488","display_name":"Developing Equitable Deep Learning Models for Automated Glaucoma Screening","funder_award_id":"1r01ey036222-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fairness":[0],"remains":[1],"a":[2,25,162],"critical":[3],"concern":[4],"in":[5,62,202],"healthcare,":[6],"where":[7],"unequal":[8],"access":[9],"to":[10,30,38,87],"services":[11],"and":[12,27,43,74,105,114,125,132,139,150,186,216],"treatment":[13],"outcomes":[14],"can":[15,218],"adversely":[16],"affect":[17],"patient":[18],"health.":[19],"While":[20],"Federated":[21],"Learning":[22],"(FL)":[23],"presents":[24],"collaborative":[26],"privacy-preserving":[28],"approach":[29],"model":[31],"training,":[32],"ensuring":[33,183],"fairness":[34,61,90,152,185,210],"is":[35],"challenging":[36],"due":[37],"heterogeneous":[39],"data":[40],"across":[41,70,94,135,153,211],"institutions,":[42],"current":[44],"research":[45],"primarily":[46],"addresses":[47],"non-medical":[48],"applications.":[49],"To":[50,156],"fill":[51],"this":[52],"gap,":[53],"we":[54,159],"establish":[55],"the":[56,80,191],"first":[57,81],"experimental":[58],"benchmark":[59],"for":[60],"medical":[63,82,137,148,203],"FL,":[64],"evaluating":[65],"six":[66,111],"representative":[67],"FL":[68,83,120,134,143,164],"methods":[69],"diverse":[71,136,212],"demographic":[72,95,112,140,154,177],"attributes":[73],"imaging":[75],"modalities.":[76],"We":[77],"introduce":[78],"FairFedMed,":[79],"dataset":[84,193,217],"specifically":[85],"designed":[86],"study":[88],"group":[89,178],"(i.e.,":[91],"consistent":[92],"performance":[93,201],"groups).":[96],"It":[97,171],"comprises":[98],"two":[99],"parts:":[100],"FairFedMed-Oph,":[101],"featuring":[102],"2D":[103],"fundus":[104],"3D":[106],"OCT":[107],"ophthalmology":[108],"samples":[109],"with":[110],"attributes;":[113],"FairFedMed-Chest,":[115],"which":[116],"simulates":[117],"real":[118],"cross-institutional":[119],"using":[121],"subsets":[122],"of":[123],"CheXpert":[124],"MIMIC-CXR.":[126],"Together,":[127],"they":[128],"support":[129],"both":[130,184],"simulated":[131],"real-world":[133],"modalities":[138],"groups.":[141,155],"Existing":[142],"models":[144],"often":[145],"underperform":[146],"on":[147,167,190],"images":[149],"overlook":[151],"address":[157],"this,":[158],"propose":[160],"FairLoRA,":[161],"fairness-aware":[163],"framework":[165],"based":[166],"SVD-based":[168],"low-rank":[169],"approximation.":[170],"customizes":[172],"singular":[173,181],"value":[174],"matrices":[175],"per":[176],"while":[179],"sharing":[180],"vectors,":[182],"efficiency.":[187],"Experimental":[188],"results":[189],"FairFedMed":[192],"demonstrate":[194],"that":[195],"FairLoRA":[196],"not":[197],"only":[198],"achieves":[199],"state-of-the-art":[200],"image":[204],"classification":[205],"but":[206],"also":[207],"significantly":[208],"improves":[209],"populations.":[213],"Our":[214],"code":[215],"be":[219],"accessible":[220],"via":[221],"GitHub":[222],"link:":[223],"https://github.com/Harvard-AI-and-Robotics-Lab/FairFedMed.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-17T00:00:00"}
