{"id":"https://openalex.org/W4410295218","doi":"https://doi.org/10.1109/isbi60581.2025.10981231","title":"Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets","display_name":"Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410295218","doi":"https://doi.org/10.1109/isbi60581.2025.10981231"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036531685","display_name":"Daniya Najiha Abdul Kareem","orcid":"https://orcid.org/0000-0001-9788-7688"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Daniya Najiha A. Kareem","raw_affiliation_strings":["Mohamed bin Zayed University of AI,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of AI,UAE","institution_ids":["https://openalex.org/I91044093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049890269","display_name":"Jean Lahoud","orcid":"https://orcid.org/0000-0003-0315-6484"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Jean Lahoud","raw_affiliation_strings":["Mohamed bin Zayed University of AI,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of AI,UAE","institution_ids":["https://openalex.org/I91044093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066756540","display_name":"Mustansar Fiaz","orcid":"https://orcid.org/0000-0003-2289-2284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mustansar Fiaz","raw_affiliation_strings":["IBM Research,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research,UAE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102715073","display_name":"Amandeep Kumar","orcid":"https://orcid.org/0000-0002-9292-9778"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amandeep Kumar","raw_affiliation_strings":["Johns Hopkins University,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,US","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009362997","display_name":"Hisham Cholakkal","orcid":"https://orcid.org/0000-0002-8230-9065"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hisham Cholakkal","raw_affiliation_strings":["Mohamed bin Zayed University of AI,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of AI,UAE","institution_ids":["https://openalex.org/I91044093"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10956051,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7067000269889832,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7067000269889832,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728735089302063},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.553077220916748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5184159278869629},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.47512418031692505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4736824333667755},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.4384773373603821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11999952793121338},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07234936952590942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728735089302063},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.553077220916748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5184159278869629},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.47512418031692505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4736824333667755},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.4384773373603821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11999952793121338},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07234936952590942},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Many":[0],"practical":[1],"medical":[2,94,130],"imaging":[3],"scenarios":[4],"include":[5],"categories":[6],"that":[7,46,79,186],"are":[8],"under-represented":[9],"but":[10],"still":[11],"crucial.":[12],"The":[13],"relevance":[14],"of":[15,140,180,190,200,205],"image":[16,95],"recognition":[17,96],"models":[18,217],"to":[19,26,28,62,81],"real-world":[20,73,116],"applications":[21],"lies":[22],"in":[23,50,101,114,193,203],"their":[24],"ability":[25],"generalize":[27],"these":[29],"rare":[30],"classes":[31,78],"as":[32,34],"well":[33],"unseen":[35,77],"classes.":[36,71],"Real-world":[37],"generalization":[38],"requires":[39],"taking":[40],"into":[41,109],"account":[42,110],"the":[43,51,67,90,102,112,115,137,144,154,168,188,197,201],"various":[44,178],"complexities":[45],"can":[47],"be":[48,82,219],"encountered":[49],"real-world.":[52],"First,":[53],"training":[54],"data":[55,74,91,192],"is":[56,87],"highly":[57,128],"imbalanced,":[58],"which":[59],"may":[60,75],"lead":[61],"model":[63,85,146],"exhibiting":[64],"bias":[65],"toward":[66],"more":[68],"frequently":[69],"represented":[70],"Moreover,":[72],"contain":[76],"need":[80],"identified,":[83],"and":[84,175,207,215],"performance":[86,199],"affected":[88],"by":[89,158],"scarcity.":[92],"While":[93],"has":[97],"been":[98],"extensively":[99],"addressed":[100],"literature,":[103],"current":[104],"methods":[105],"do":[106],"not":[107],"take":[108],"all":[111,211],"intricacies":[113],"scenarios.":[117],"To":[118],"this":[119],"end,":[120],"we":[121,148],"propose":[122],"an":[123],"open-set":[124,208],"learning":[125],"method":[126],"for":[127],"imbal-anced":[129],"datasets":[131],"using":[132],"a":[133,150,159],"semi-supervised":[134],"approach.":[135],"Understanding":[136],"adverse":[138],"impact":[139,189],"long-tail":[141,191],"distribution":[142],"at":[143,153,223],"inherent":[145],"characteristics,":[147],"implement":[149],"reg-ularization":[151],"strategy":[152],"feature":[155],"level":[156],"complemented":[157],"classifier":[160],"normalization":[161],"technique.":[162],"We":[163],"conduct":[164],"extensive":[165],"experiments":[166],"on":[167,210],"publicly":[169,221],"available":[170,222],"datasets,":[171],"ISIC20":[172],"18,":[173],"ISIC2019,":[174],"TissueMNIST":[176],"with":[177],"numbers":[179],"labelled":[181],"samples.":[182],"Our":[183,213],"analysis":[184],"shows":[185],"addressing":[187],"classification":[194],"significantly":[195],"improves":[196],"overall":[198],"network":[202],"terms":[204],"closed-set":[206],"accuracies":[209],"datasets.":[212],"code":[214],"trained":[216],"will":[218],"made":[220],"https://github.com/Daniyanaj/OpenLTR.":[224]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}