{"id":"https://openalex.org/W7154952873","doi":"https://doi.org/10.1109/tmi.2026.3684946","title":"AUCp: Pseudo-AUC for Inference Model Selection With Unlabeled Validation Data in Abnormality Detection","display_name":"AUCp: Pseudo-AUC for Inference Model Selection With Unlabeled Validation Data in Abnormality Detection","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7154952873","doi":"https://doi.org/10.1109/tmi.2026.3684946","pmid":"https://pubmed.ncbi.nlm.nih.gov/42009338"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2026.3684946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3684946","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2606.08742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019723867","display_name":"Md Mahfuzur Rahman Siddiquee","orcid":"https://orcid.org/0000-0001-7145-215X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Mahfuzur Rahman Siddiquee","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-7145-215X","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092508438","display_name":"Fazle Rafsani","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fazle Rafsani","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0009-0007-5050-9090","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014858154","display_name":"Jay Shah","orcid":"https://orcid.org/0000-0002-3617-2395"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Shah","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-3617-2395","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133536992","display_name":"Teresa Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teresa Wu","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-0529-7048","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039227082","display_name":"Catherine D. Chong","orcid":"https://orcid.org/0000-0002-9035-8748"},"institutions":[{"id":"https://openalex.org/I4210145671","display_name":"Advanced Imaging Research (United States)","ror":"https://ror.org/047c3xe48","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145671"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Catherine D Chong","raw_affiliation_strings":["ASU-Mayo Center for Innovative Imaging, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASU-Mayo Center for Innovative Imaging, Tempe, AZ, USA","institution_ids":["https://openalex.org/I4210145671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019480561","display_name":"Todd J. Schwedt","orcid":"https://orcid.org/0000-0002-7780-7086"},"institutions":[{"id":"https://openalex.org/I4210145671","display_name":"Advanced Imaging Research (United States)","ror":"https://ror.org/047c3xe48","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145671"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd J Schwedt","raw_affiliation_strings":["ASU-Mayo Center for Innovative Imaging, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASU-Mayo Center for Innovative Imaging, Tempe, AZ, USA","institution_ids":["https://openalex.org/I4210145671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134041000","display_name":"Baoxin Li","orcid":"https://orcid.org/0000-0001-6365-3082"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoxin Li","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-6365-3082","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46207634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"7","first_page":"3720","last_page":"3733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.33410000801086426,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.33410000801086426,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.0812000036239624,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.05849999934434891,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5766000151634216},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.5719000101089478},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.53329998254776},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5037000179290771},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.49790000915527344},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43779999017715454},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.40389999747276306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6948000192642212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5766000151634216},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.5719000101089478},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.53329998254776},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.49790000915527344},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31049999594688416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25110000371932983}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2026.3684946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3684946","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:42009338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42009338","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":"IEEE transactions on medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2606.08742","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.08742","pdf_url":"https://arxiv.org/pdf/2606.08742","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2606.08742","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.08742","pdf_url":"https://arxiv.org/pdf/2606.08742","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1881964543","display_name":null,"funder_award_id":"W81XWH1910534","funder_id":"https://openalex.org/F4320310966","funder_display_name":"National Department of Health"},{"id":"https://openalex.org/G3154917896","display_name":null,"funder_award_id":"K23NS070891","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4228268549","display_name":null,"funder_award_id":"1R61NS113315-01","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G6110702786","display_name":null,"funder_award_id":"W81XWH-15-1-0286","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G6618249522","display_name":null,"funder_award_id":"W81XWH-15-1-0286","funder_id":"https://openalex.org/F4320310966","funder_display_name":"National Department of Health"},{"id":"https://openalex.org/G7834075291","display_name":null,"funder_award_id":"20187183","funder_id":"https://openalex.org/F4320307105","funder_display_name":"Amgen"},{"id":"https://openalex.org/G8966277913","display_name":null,"funder_award_id":"W81XWH1910534","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320307105","display_name":"Amgen","ror":"https://ror.org/03g03ge92"},{"id":"https://openalex.org/F4320310966","display_name":"National Department of Health","ror":"https://ror.org/05rfgws98"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Abnormality":[0],"detection":[1,77,105,164,182],"is":[2,83],"a":[3,37,71,140],"crucial":[4],"yet":[5],"challenging":[6],"task":[7],"in":[8,123,165,215],"medical":[9],"image":[10],"analysis.":[11],"Distinguishing":[12],"abnormalities":[13],"from":[14,48],"normal":[15,147],"data":[16,22,56],"by":[17],"learning":[18],"to":[19,41,63,93],"reconstruct":[20],"normal-only":[21],"alleviates":[23],"the":[24,43,88,95,115,124,193,199],"reliance":[25],"on":[26,36,103,186],"labeled":[27,38,55],"datasets.":[28],"However,":[29],"many":[30,53],"studies,":[31],"even":[32],"if":[33],"unsupervised,":[34],"rely":[35],"validation":[39],"set":[40,126,145],"select":[42,94],"best":[44,96],"model":[45,98,156,201],"for":[46,78,99,179,202],"inference":[47],"multiple":[49],"training":[50,144],"iterations.":[51],"For":[52],"diseases":[54],"are":[57,137,213],"unavailable":[58],"and":[59,80,107,129,142,152,169,183,207],"substantially":[60],"time":[61],"consuming":[62],"obtain.":[64],"To":[65],"address":[66],"this,":[67],"${\\textit":[68,134,159,194],"{AUC}}_{p}$":[69,135,160,195],"-":[70],"novel":[72],"metric":[73],"that":[74,155,192],"supports":[75],"abnormality":[76,206],"unsupervised":[79,168,177],"self-supervised":[81,170,184],"methods":[82,171,178,185],"proposed.":[84],"Instead":[85],"of":[86,90,97,119,146,167],"evaluating":[87],"realism":[89],"reconstructed":[91],"images":[92],"inference,":[100,203],"it":[101],"focuses":[102],"actual":[104],"performance":[106],"without":[108],"requiring":[109],"an":[110],"annotated":[111],"test":[112,125],"set.":[113],"Assuming":[114],"pseudo":[116],"ground":[117],"truth":[118],"all":[120],"unannotated":[121],"samples":[122],"as":[127],"abnormal/positive":[128],"using":[130,158],"traditional":[131],"AUC":[132],"calculation,":[133],"scores":[136,161],"derived.":[138],"Given":[139],"large":[141],"representative":[143],"samples,":[148],"we":[149],"show":[150],"mathematical":[151],"empirical":[153],"evidence":[154],"selection":[157],"improves":[162],"disease":[163,181,208],"terms":[166],"over":[172],"conventional":[173],"metrics.":[174],"Using":[175],"two":[176],"neurologic":[180],"diverse":[187],"datasets,":[188],"our":[189],"results":[190],"demonstrate":[191],"score":[196],"effectively":[197],"identifies":[198],"optimal":[200],"significantly":[204],"enhancing":[205],"detection.":[209],"The":[210],"corresponding":[211],"implementations":[212],"available":[214],"https://github.com/mahfuzmohammad/AUCp.":[216]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-04-21T00:00:00"}
