{"id":"https://openalex.org/W4389542568","doi":"https://doi.org/10.1109/embc40787.2023.10340883","title":"A Large-Scale Clinical Benchmark of ResNet-based Deep Models for Newborn Face Recognition","display_name":"A Large-Scale Clinical Benchmark of ResNet-based Deep Models for Newborn Face Recognition","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389542568","doi":"https://doi.org/10.1109/embc40787.2023.10340883","pmid":"https://pubmed.ncbi.nlm.nih.gov/38082835"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5102579361","display_name":"Changyi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyi Wu","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedical Engineering,China","Department of Biomedical Engineering, Southern University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedical Engineering,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Southern University of Science and Technology, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002876758","display_name":"Dongmin Huang","orcid":"https://orcid.org/0000-0002-2604-5878"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmin Huang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedical Engineering,China","Department of Biomedical Engineering, Southern University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedical Engineering,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Southern University of Science and Technology, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104668440","display_name":"Lirong Ren","orcid":"https://orcid.org/0009-0007-7401-9002"},"institutions":[{"id":"https://openalex.org/I4210134759","display_name":"Shenzhen Bao'an District People's Hospital","ror":"https://ror.org/04dkfar71","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134759"]},{"id":"https://openalex.org/I4210166889","display_name":"Anyang Hospital of Traditional Chinese Medicine","ror":"https://ror.org/02x5sw589","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210166889"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Ren","raw_affiliation_strings":["Baoan Hospital of Traditional Chinese Medicine in Shenzhen,Department of Obstetrics,China","Department of Obstetrics, Baoan Hospital of Traditional Chinese Medicine in Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baoan Hospital of Traditional Chinese Medicine in Shenzhen,Department of Obstetrics,China","institution_ids":["https://openalex.org/I4210134759","https://openalex.org/I4210166889"]},{"raw_affiliation_string":"Department of Obstetrics, Baoan Hospital of Traditional Chinese Medicine in Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694490","display_name":"Hongzhou Lu","orcid":"https://orcid.org/0000-0002-8308-5534"},"institutions":[{"id":"https://openalex.org/I4210166055","display_name":"Shenzhen Third People\u2019s Hospital","ror":"https://ror.org/04xfsbk97","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210166055"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhou Lu","raw_affiliation_strings":["The Third People&#x2019;s Hospital of Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Third People&#x2019;s Hospital of Shenzhen,China","institution_ids":["https://openalex.org/I4210166055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636785","display_name":"Wenjin Wang","orcid":"https://orcid.org/0000-0001-7832-5444"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Wang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedical Engineering,China","Department of Biomedical Engineering, Southern University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedical Engineering,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Southern University of Science and Technology, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46679868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11374","display_name":"Cleft Lip and Palate Research","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8014284372329712},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7374487519264221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352880239486694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6833773851394653},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.597927987575531},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5387760996818542},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5078018307685852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46103763580322266},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.45572513341903687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4123450517654419},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.41103029251098633},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10063126683235168}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8014284372329712},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7374487519264221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352880239486694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6833773851394653},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.597927987575531},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5387760996818542},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5078018307685852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46103763580322266},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.45572513341903687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4123450517654419},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.41103029251098633},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10063126683235168},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38082835","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38082835","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1986059388","https://openalex.org/W1987974570","https://openalex.org/W2194775991","https://openalex.org/W2324187321","https://openalex.org/W2385060232","https://openalex.org/W2549698946","https://openalex.org/W2902927243","https://openalex.org/W2962858109","https://openalex.org/W2962898354","https://openalex.org/W2963466847","https://openalex.org/W2969985801","https://openalex.org/W2971058209","https://openalex.org/W3035693354","https://openalex.org/W3044815875","https://openalex.org/W3156943286","https://openalex.org/W3169129566","https://openalex.org/W4312402191"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2076845124","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2130974462","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W3104966193"],"abstract_inverted_index":{"Newborn":[0],"face":[1,29,48,69,92,143],"recognition":[2],"is":[3,65],"a":[4,39,44,130],"meaningful":[5],"application":[6],"for":[7,75,90,141],"obstetrics":[8],"in":[9,72,119,129],"the":[10,66,73,84,107,120,135,147,153],"hospital,":[11],"as":[12],"it":[13],"enhances":[14],"security":[15],"measures":[16],"against":[17],"infant":[18],"swapping":[19],"and":[20,98],"abduction":[21],"through":[22],"authentication":[23],"protocols.":[24],"Due":[25],"to":[26,42,82,155],"limited":[27],"newborn":[28,68,91,142],"datasets,":[30],"this":[31,64,76],"topic":[32],"was":[33,80],"not":[34],"thoroughly":[35],"studied.":[36],"We":[37],"conducted":[38],"clinical":[40],"trial":[41],"create":[43],"dataset":[45,70,79],"that":[46,104],"collects":[47],"images":[49],"from":[50],"200":[51],"newborns":[52],"within":[53],"an":[54],"hour":[55],"after":[56],"birth,":[57],"namely":[58],"NEWBORN200.":[59],"To":[60],"our":[61],"best":[62,108],"knowledge,":[63],"largest":[67],"collected":[71],"hospital":[74],"application.":[77],"The":[78,100],"used":[81],"evaluate":[83],"four":[85],"latest":[86],"ResNet-based":[87],"deep":[88,139],"models":[89],"recognition,":[93,144],"including":[94],"ArcFace,":[95],"CurricularFace,":[96],"MagFace,":[97],"AdaFace.":[99],"experimental":[101],"results":[102],"show":[103],"AdaFace":[105],"has":[106],"performance,":[109],"obtaining":[110],"55.24%":[111],"verification":[112],"accuracy":[113,128],"at":[114],"0.1%":[115],"false":[116],"accept":[117],"rate":[118],"open":[121],"set":[122],"while":[123],"achieving":[124],"78.76%":[125],"rank-1":[126],"identification":[127],"closed":[131],"set.":[132],"It":[133],"demonstrates":[134],"feasibility":[136],"of":[137,149],"using":[138],"learning":[140],"also":[145],"indicating":[146],"direction":[148],"improvement":[150],"could":[151],"be":[152],"robustness":[154],"varying":[156],"postures.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
