{"id":"https://openalex.org/W4406458705","doi":"https://doi.org/10.1109/bigdata62323.2024.10825470","title":"Federated Focal Modulated UNet for Cardiovascular Image Segmentation","display_name":"Federated Focal Modulated UNet for Cardiovascular Image Segmentation","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458705","doi":"https://doi.org/10.1109/bigdata62323.2024.10825470"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027038473","display_name":"Mohammad Asjad","orcid":"https://orcid.org/0000-0002-1282-8302"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohammad Asjad","raw_affiliation_strings":["Indian Institute of Technology,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087643647","display_name":"Abdul Qayyum","orcid":"https://orcid.org/0000-0001-5322-7936"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abdul Qayyum","raw_affiliation_strings":["Imperial College London,National Heart and Lung Institute, Faculty of Medicine,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,National Heart and Lung Institute, Faculty of Medicine,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002758946","display_name":"Moona Mazher","orcid":"https://orcid.org/0000-0003-4444-5776"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Moona Mazher","raw_affiliation_strings":["University College London,Department of Computer Science,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London,Department of Computer Science,London,UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023691565","display_name":"Usman Naseem","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Usman Naseem","raw_affiliation_strings":["Macquarie University,School of Computing,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University,School of Computing,Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055990973","display_name":"Tariq M. Khan","orcid":"https://orcid.org/0000-0002-7477-1591"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tariq Khan","raw_affiliation_strings":["University of New South Wales,School of Computer Science and Engineering,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Computer Science and Engineering,Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000435552","display_name":"Steven Niederer","orcid":"https://orcid.org/0000-0002-4612-6982"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven Niederer","raw_affiliation_strings":["Imperial College London,National Heart and Lung Institute, Faculty of Medicine,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,National Heart and Lung Institute, Faculty of Medicine,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033585021","display_name":"Imran Razzak","orcid":"https://orcid.org/0000-0002-3930-6600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Imran Razzak","raw_affiliation_strings":["University of New South Wales,School of Computer Science and Engineering,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Computer Science and Engineering,Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.778,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88094595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7842","last_page":"7848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9934999942779541,"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/T10862","display_name":"AI in cancer detection","score":0.9934999942779541,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9868999719619751,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9843999743461609,"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/image-segmentation","display_name":"Image segmentation","score":0.6622721552848816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6528980731964111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6220069527626038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6022384166717529},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5240443348884583},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5029928088188171}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6622721552848816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6528980731964111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220069527626038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6022384166717529},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5240443348884583},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5029928088188171}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2592929672","https://openalex.org/W2607941059","https://openalex.org/W2785325870","https://openalex.org/W2804047627","https://openalex.org/W2962804345","https://openalex.org/W3036224891","https://openalex.org/W3093331990","https://openalex.org/W3129603732","https://openalex.org/W3173537849","https://openalex.org/W3176364684","https://openalex.org/W3181882093","https://openalex.org/W3202544408","https://openalex.org/W3202812631","https://openalex.org/W4205502890","https://openalex.org/W4224916216","https://openalex.org/W4226183928","https://openalex.org/W4282813496","https://openalex.org/W4287755086","https://openalex.org/W4293155325","https://openalex.org/W4303649515","https://openalex.org/W4312477330","https://openalex.org/W4320341755","https://openalex.org/W4324121728","https://openalex.org/W4366082712","https://openalex.org/W4366996414","https://openalex.org/W4377711307","https://openalex.org/W4389610297","https://openalex.org/W4390955710","https://openalex.org/W4391306123","https://openalex.org/W4393563984","https://openalex.org/W4404646331","https://openalex.org/W6747899497","https://openalex.org/W6774314701","https://openalex.org/W6779992872","https://openalex.org/W6779997284","https://openalex.org/W6789305514","https://openalex.org/W6799962196","https://openalex.org/W6839029159","https://openalex.org/W6849177841"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,142],"facilitates":[2],"collaborative":[3],"training":[4],"of":[5,98],"machine":[6],"models":[8],"on":[9,101,130],"data":[10,25],"distributed":[11],"across":[12],"multiple":[13],"locations,":[14],"effectively":[15],"addressing":[16],"the":[17,22,80],"privacy":[18],"concerns":[19],"by":[20,120],"eliminating":[21],"need":[23],"for":[24,46,65],"centralization\u2014a":[26],"critical":[27],"consideration":[28],"in":[29,79],"medical":[30],"image":[31],"analysis.":[32],"In":[33],"healthcare":[34],"applications":[35],"like":[36],"cardiovascular":[37],"segmentation,":[38],"datasets":[39,134],"from":[40],"individual":[41],"sites":[42],"often":[43],"feature":[44,108],"annotations":[45],"specific":[47,96],"heart":[48],"regions,":[49],"leading":[50],"to":[51,88,95],"partial":[52,62],"overlaps.":[53],"To":[54,105],"address":[55],"this":[56],"challenge,":[57],"we":[58,112],"present":[59],"a":[60,69],"two-step":[61],"annotation":[63],"framework":[64],"federated":[66],"learning,":[67],"featuring":[68],"hybrid":[70],"3D":[71],"multi-encoding":[72],"UNet":[73],"enhanced":[74],"with":[75],"focal":[76,114],"modulation":[77,115],"layers":[78],"second":[81],"stage.":[82],"This":[83],"architecture":[84],"enables":[85],"specialized":[86],"subnetworks":[87],"act":[89],"as":[90],"experts,":[91],"extracting":[92],"features":[93],"tailored":[94],"regions":[97],"interest":[99],"based":[100],"each":[102],"client\u2019s":[103],"data.":[104],"further":[106],"improve":[107],"extraction":[109],"and":[110,117],"differentiation,":[111],"incorporate":[113],"blocks":[116],"apply":[118],"regularization":[119],"introducing":[121],"an":[122],"auxiliary":[123],"generic":[124],"decoder":[125],"during":[126],"training.":[127],"Comprehensive":[128],"experiments":[129],"diverse":[131],"cardiac":[132],"MRI":[133],"demonstrate":[135],"that":[136],"our":[137],"approach":[138],"significantly":[139],"outperforms":[140],"centralized":[141],"models.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}