{"id":"https://openalex.org/W4414314436","doi":"https://doi.org/10.1007/978-3-032-05870-6_1","title":"LTCXNet: Tackling Long-Tailed Multi-label Classification and\u00a0Racial Bias in\u00a0Chest X-Ray Analysis","display_name":"LTCXNet: Tackling Long-Tailed Multi-label Classification and\u00a0Racial Bias in\u00a0Chest X-Ray Analysis","publication_year":2025,"publication_date":"2025-09-18","ids":{"openalex":"https://openalex.org/W4414314436","doi":"https://doi.org/10.1007/978-3-032-05870-6_1"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-05870-6_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-05870-6_1","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":"https://openalex.org/A5001311279","display_name":"Chin\u2010Wei Huang","orcid":"https://orcid.org/0000-0003-3335-2187"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chin-Wei Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006419022","display_name":"Chi\u2010Yu Chen","orcid":"https://orcid.org/0000-0001-9535-7341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi-Yu Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090359023","display_name":"Mei\u2010Chiou Shen","orcid":"https://orcid.org/0000-0003-1977-2871"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mu-Yi Shen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037520014","display_name":"Kuan-Chang Shih","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuan-Chang Shih","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003503826","display_name":"Shih-Chih Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shih-Chih Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114488833","display_name":"Po-Chih Kuo","orcid":"https://orcid.org/0009-0004-1200-5834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Po-Chih Kuo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001311279"],"corresponding_institution_ids":[],"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":0.53996194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9975000023841858,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9975000023841858,"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/T10028","display_name":"Topic Modeling","score":0.9729999899864197,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9674999713897705,"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/gender-bias","display_name":"Gender bias","score":0.3305000066757202},{"id":"https://openalex.org/keywords/race","display_name":"Race (biology)","score":0.2685999870300293},{"id":"https://openalex.org/keywords/racial-bias","display_name":"Racial bias","score":0.26759999990463257},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.25870001316070557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757000088691711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260999858379364},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32710000872612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C76509639","wikidata":"https://www.wikidata.org/wiki/Q918036","display_name":"Race (biology)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2992700788","wikidata":"https://www.wikidata.org/wiki/Q8461","display_name":"Racial bias","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25929999351501465},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.24869999289512634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-05870-6_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-05870-6_1","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2133223948","https://openalex.org/W2600453013","https://openalex.org/W2962858109","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W3094239814","https://openalex.org/W3158777740","https://openalex.org/W3159481202","https://openalex.org/W3166630818","https://openalex.org/W3167456680","https://openalex.org/W3216083537","https://openalex.org/W4205312537","https://openalex.org/W4220760463","https://openalex.org/W4280519765","https://openalex.org/W4296963805","https://openalex.org/W4312443924","https://openalex.org/W4313066313","https://openalex.org/W4386076428","https://openalex.org/W4387211915","https://openalex.org/W4390189534","https://openalex.org/W4405868195"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
