{"id":"https://openalex.org/W4403535353","doi":"https://doi.org/10.1109/sibgrapi62404.2024.10716264","title":"Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images","display_name":"Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4403535353","doi":"https://doi.org/10.1109/sibgrapi62404.2024.10716264"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi62404.2024.10716264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi62404.2024.10716264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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 Renato Ribeiro Manesco","raw_affiliation_strings":["School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041612764","display_name":"Danilo Samuel Jodas","orcid":"https://orcid.org/0000-0002-0370-1211"},"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":"Danilo Jodas","raw_affiliation_strings":["School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068259933","display_name":"Mattia Zanella","orcid":"https://orcid.org/0000-0001-8456-5866"},"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":"Maur\u00edcio Jos\u00e9 Grap\u00edggia Zanella","raw_affiliation_strings":["School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026159894","display_name":"Marcel Koenigkam Santos","orcid":"https://orcid.org/0000-0002-7160-4691"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcel Koenigkam Santos","raw_affiliation_strings":["Bauru Medical School, University of São Paulo (USP),Bauru,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"Bauru Medical School, University of São Paulo (USP),Bauru,SP,Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111315652","display_name":"Jo\u00e3o Paulo Papa","orcid":null},"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 Paulo Papa","raw_affiliation_strings":["School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil"],"affiliations":[{"raw_affiliation_string":"School of Sciences, São Paulo State University (UNESP),Bauru,SP,Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039891962"],"corresponding_institution_ids":["https://openalex.org/I879563668"],"apc_list":null,"apc_paid":null,"fwci":0.4295,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67028862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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":0.9933000206947327,"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"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5593875646591187},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5418819189071655},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5336803793907166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123533010482788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4726112186908722},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.451484739780426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3763430714607239},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18175813555717468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5593875646591187},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5418819189071655},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5336803793907166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123533010482788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4726112186908722},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.451484739780426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3763430714607239},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18175813555717468},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi62404.2024.10716264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi62404.2024.10716264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G1548270863","display_name":null,"funder_award_id":"308529/2021-9","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3325715450","display_name":null,"funder_award_id":"2013/07375 - 0,2019/07665 - 4,2019/22577 - 4,2023/14427 - 8,2024/00789 - 8,2024/01336 - 7","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2118246710","https://openalex.org/W2122487292","https://openalex.org/W2921584162","https://openalex.org/W2986126107","https://openalex.org/W3035241330","https://openalex.org/W3158433122","https://openalex.org/W3204111848","https://openalex.org/W4280519765","https://openalex.org/W4294031812","https://openalex.org/W4380368610","https://openalex.org/W4386887987","https://openalex.org/W4389888949","https://openalex.org/W6762003241","https://openalex.org/W6782340949"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W1992327129"],"abstract_inverted_index":{"Patient":[0],"re-identification":[1,16,80],"in":[2,127,196],"medical":[3,64],"imaging":[4,25,202],"facilitates":[5],"longitudinal":[6],"studies,":[7],"monitors":[8],"treatment,":[9],"and":[10,30,98,201],"ensures":[11],"patient":[12,15,21,41,79,169,199],"privacy.":[13],"Accurate":[14],"enables":[17],"clinicians":[18],"to":[19,94,131,156],"track":[20],"progress,":[22],"compare":[23],"new":[24],"results":[26,160],"with":[27,52],"historical":[28],"data,":[29],"ensure":[31],"that":[32,162],"the":[33,61,103,110,114,133,166,179,183],"correct":[34],"treatment":[35],"plans":[36],"are":[37],"followed":[38],"without":[39],"compromising":[40],"confidentiality.":[42],"However,":[43],"identifying":[44],"similar":[45],"patients":[46],"presents":[47],"significant":[48],"challenges":[49,192],"when":[50,60],"dealing":[51],"low-quality":[53],"images,":[54,58,150],"like":[55],"chest":[56,82,148],"X-ray":[57,83,149],"especially":[59],"presence":[62],"of":[63,147,168,182],"equipment":[65],"obscures":[66],"key":[67,95],"anatomical":[68,96],"features.":[69],"This":[70],"paper":[71],"introduces":[72],"a":[73,122,128,136,144,173],"Graph":[74,104],"Matching":[75,105],"Network-based":[76],"approach":[77,126,164],"for":[78],"using":[81],"data.":[84],"By":[85],"representing":[86],"such":[87,193],"images":[88,134],"as":[89,121,135,194],"graphs,":[90],"where":[91],"nodes":[92],"correspond":[93],"landmarks":[97],"edges":[99],"represent":[100],"spatial":[101],"relationships,":[102],"Network":[106],"can":[107],"effectively":[108],"model":[109],"complex":[111],"dependencies":[112],"within":[113],"images.":[115],"In":[116],"addition,":[117],"we":[118],"integrate":[119],"superpixel":[120],"representative":[123],"feature":[124],"extraction":[125],"robust":[129],"strategy":[130],"describe":[132],"graph":[137,184],"model.":[138],"Our":[139],"method":[140],"is":[141],"evaluated":[142],"on":[143,178],"large-scale":[145],"dataset":[146],"demonstrating":[151],"its":[152,188],"superior":[153],"performance":[154],"compared":[155],"other":[157],"methods.":[158],"Experimental":[159],"show":[161],"our":[163],"improves":[165],"precision":[167],"matching":[170],"by":[171],"integrating":[172],"novel":[174],"loss":[175],"function":[176],"based":[177],"cosine":[180],"distance":[181],"embedding":[185],"representation,":[186],"enhancing":[187],"robustness":[189],"against":[190],"common":[191],"variations":[195],"image":[197],"quality,":[198],"posture,":[200],"equipment.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}