{"id":"https://openalex.org/W4415624755","doi":"https://doi.org/10.1109/rtsi64020.2025.11212342","title":"Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images","display_name":"Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images","publication_year":2025,"publication_date":"2025-08-24","ids":{"openalex":"https://openalex.org/W4415624755","doi":"https://doi.org/10.1109/rtsi64020.2025.11212342"},"language":null,"primary_location":{"id":"doi:10.1109/rtsi64020.2025.11212342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi64020.2025.11212342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 9th Forum on Research and Technologies for Society and Industry (RTSI)","raw_type":"proceedings-article"},"type":"article","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/A5039891962","display_name":"Jo\u00e3o Renato Ribeiro Manesco","orcid":"https://orcid.org/0000-0002-1617-5142"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jo\u00e3o R. R. Manesco","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),School of Sciences,Bauru,Brazil"],"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),School of Sciences,Bauru,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041190229","display_name":"Leandro A. Passos","orcid":"https://orcid.org/0000-0003-3529-3109"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro A. Passos","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),School of Sciences,Bauru,Brazil"],"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),School of Sciences,Bauru,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109927280","display_name":"E. Hoshino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109090","display_name":"Universidade Sagrado Cora\u00e7\u00e3o","ror":"https://ror.org/01thzqc78","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210109090"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00c9rika M. Hoshino","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Bauru Medical School,Bauru,Brazil"],"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Bauru Medical School,Bauru,Brazil","institution_ids":["https://openalex.org/I4210109090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076183669","display_name":"Let\u00edcia Oliveira","orcid":"https://orcid.org/0000-0002-8450-2264"},"institutions":[{"id":"https://openalex.org/I4210109090","display_name":"Universidade Sagrado Cora\u00e7\u00e3o","ror":"https://ror.org/01thzqc78","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210109090"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Let\u00edcia B. Oliveira","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Bauru Medical School,Bauru,Brazil"],"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Bauru Medical School,Bauru,Brazil","institution_ids":["https://openalex.org/I4210109090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026159894","display_name":"Marcel Koenigkam Santos","orcid":"https://orcid.org/0000-0002-7160-4691"},"institutions":[{"id":"https://openalex.org/I4210109090","display_name":"Universidade Sagrado Cora\u00e7\u00e3o","ror":"https://ror.org/01thzqc78","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210109090"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcel Koenigkam-Santos","raw_affiliation_strings":["University of S&#x00E3;o Paulo (USP),Bauru Medical School,Bauru,Brazil"],"affiliations":[{"raw_affiliation_string":"University of S&#x00E3;o Paulo (USP),Bauru Medical School,Bauru,Brazil","institution_ids":["https://openalex.org/I4210109090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003275797","display_name":"Jo\u00e3o Paulo Papa","orcid":"https://orcid.org/0000-0002-6494-7514"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o P. Papa","raw_affiliation_strings":["S&#x00E3;o Paulo State University (UNESP),School of Sciences,Bauru,Brazil"],"affiliations":[{"raw_affiliation_string":"S&#x00E3;o Paulo State University (UNESP),School of Sciences,Bauru,Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039891962"],"corresponding_institution_ids":["https://openalex.org/I879563668"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47479699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8539999723434448,"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":0.8539999723434448,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.041600000113248825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.019500000402331352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/domain-adaptation","display_name":"Domain adaptation","score":0.7646999955177307},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7008000016212463},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5468000173568726},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5216000080108643},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4499000012874603},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4415000081062317},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4327999949455261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4178999960422516}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7646999955177307},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7008000016212463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621000170707703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363999843597412},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5216000080108643},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C512654426","wikidata":"https://www.wikidata.org/wiki/Q19652","display_name":"Public domain","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499999940395355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C2989486834","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"True positive rate","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rtsi64020.2025.11212342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi64020.2025.11212342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 9th Forum on Research and Technologies for Society and Industry (RTSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1982696459","https://openalex.org/W2118709974","https://openalex.org/W2120156842","https://openalex.org/W2125498850","https://openalex.org/W2153583003","https://openalex.org/W2165698076","https://openalex.org/W2756202949","https://openalex.org/W2944591725","https://openalex.org/W3099323006","https://openalex.org/W3189965344","https://openalex.org/W3209065936","https://openalex.org/W4285604248","https://openalex.org/W4289639938","https://openalex.org/W4290466776","https://openalex.org/W4293652216","https://openalex.org/W4303832816","https://openalex.org/W4318823572","https://openalex.org/W4376279282","https://openalex.org/W4383818095","https://openalex.org/W4386708804"],"related_works":[],"abstract_inverted_index":{"Chest":[0],"X-ray":[1,50],"imaging":[2,31],"is":[3],"crucial":[4],"for":[5],"verifying":[6],"the":[7,39,60,78,85,107,114,121,141,150,154],"correct":[8],"placement":[9],"of":[10,41,43,109,156],"medical":[11,45],"devices.":[12],"However,":[13],"deep":[14],"learning":[15],"models":[16],"often":[17],"fail":[18],"to":[19,24,83,136,161],"generalize":[20],"across":[21],"institutions":[22],"due":[23],"domain":[25,53,57,104,116],"shifts":[26],"caused":[27],"by":[28,55],"variations":[29],"in":[30,47,113,140],"protocols":[32],"and":[33,93,117],"annotation":[34],"practices.":[35],"This":[36],"work":[37],"addresses":[38],"challenge":[40],"classification":[42],"misplaced":[44],"devices":[46],"plain":[48],"chest":[49],"images":[51],"under":[52],"shift":[54],"integrating":[56],"adaptation":[58,105],"into":[59],"training":[61],"process.":[62],"It":[63],"proposes":[64],"a":[65,69,89,94],"framework":[66],"that":[67,103],"combines":[68],"Vision":[70],"Transformer":[71],"architecture":[72],"with":[73],"Deep":[74],"Adaptation":[75],"Networks,":[76],"using":[77],"Maximum":[79],"Mean":[80],"Discrepancy":[81],"loss":[82],"align":[84],"feature":[86,126],"distributions":[87],"between":[88],"large":[90],"public":[91],"dataset":[92],"smaller,":[95],"clinically":[96],"distinct":[97],"private":[98],"dataset.":[99],"Our":[100],"results":[101],"demonstrate":[102],"enables":[106],"detection":[108],"previously":[110],"undetected":[111],"misplacements":[112],"target":[115,142],"enhances":[118],"performance":[119],"on":[120],"source":[122],"domain,":[123],"suggesting":[124],"improved":[125],"generalizability.":[127],"The":[128],"baseline":[129],"model":[130,152],"achieved":[131],"high":[132],"accuracy":[133],"but":[134],"failed":[135],"identify":[137],"true":[138,157],"positives":[139,158],"domain.":[143],"In":[144],"contrast,":[145],"despite":[146],"having":[147],"lower":[148],"precision,":[149],"adapted":[151],"increased":[153],"number":[155],"from":[159],"zero":[160],"twelve.":[162]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-29T00:00:00"}
