{"id":"https://openalex.org/W7082636768","doi":"https://doi.org/10.1007/978-3-032-05185-1_10","title":"Decentralized Noise Handling in\u00a0Medical Imaging: Encoder-Decoder Based Federated Imputation for\u00a0Robust Training","display_name":"Decentralized Noise Handling in\u00a0Medical Imaging: Encoder-Decoder Based Federated Imputation for\u00a0Robust Training","publication_year":2025,"publication_date":"2025-09-19","ids":{"openalex":"https://openalex.org/W7082636768","doi":"https://doi.org/10.1007/978-3-032-05185-1_10"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-05185-1_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-05185-1_10","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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":null,"display_name":"Yunyoung Chang","orcid":"https://orcid.org/0009-0000-8019-4615"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yunyoung Chang","raw_affiliation_strings":["School of Computing, Gachon University, Seongnam, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-8019-4615","affiliations":[{"raw_affiliation_string":"School of Computing, Gachon University, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yeonwoo Noh","orcid":"https://orcid.org/0009-0004-3235-2948"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeonwoo Noh","raw_affiliation_strings":["College of Medicine, Gachon University, Inchon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-3235-2948","affiliations":[{"raw_affiliation_string":"College of Medicine, Gachon University, Inchon, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sang-Woong Lee","orcid":"https://orcid.org/0000-0001-8117-6566"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Woong Lee","raw_affiliation_strings":["School of Computing, Gachon University, Seongnam, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8117-6566","affiliations":[{"raw_affiliation_string":"School of Computing, Gachon University, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Minwoo Lee","orcid":"https://orcid.org/0000-0001-8474-5744"},"institutions":[{"id":"https://openalex.org/I4210147736","display_name":"Sacred Heart Hospital","ror":"https://ror.org/0460fxw51","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210147736"]},{"id":"https://openalex.org/I4210159787","display_name":"Hallym University Sacred Heart Hospital","ror":"https://ror.org/04ngysf93","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210159787","https://openalex.org/I4210167048"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Minwoo Lee","raw_affiliation_strings":["Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8474-5744","affiliations":[{"raw_affiliation_string":"Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea","institution_ids":["https://openalex.org/I4210159787","https://openalex.org/I4210147736"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wonjong Noh","orcid":"https://orcid.org/0000-0001-5668-0453"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjong Noh","raw_affiliation_strings":["School of Information Science, Hallym University, Chunchon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5668-0453","affiliations":[{"raw_affiliation_string":"School of Information Science, Hallym University, Chunchon, Republic of Korea","institution_ids":["https://openalex.org/I146824383"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7454046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.7128000259399414,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.7128000259399414,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.027499999850988388,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7075999975204468},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6830999851226807},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6104000210762024},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5435000061988831},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5414999723434448},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5306000113487244},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5289999842643738},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.38359999656677246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8982999920845032},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7075999975204468},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6830999851226807},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6104000210762024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5552999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508999824523926},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5435000061988831},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5306000113487244},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.3411000072956085},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.32919999957084656},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3082999885082245},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.28769999742507935}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-05185-1_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-05185-1_10","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2067018983","https://openalex.org/W2295936755","https://openalex.org/W2617369603","https://openalex.org/W3138516171","https://openalex.org/W4226140704","https://openalex.org/W4317436377","https://openalex.org/W4366388800","https://openalex.org/W4385767857","https://openalex.org/W4388392666","https://openalex.org/W4393156437"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}