{"id":"https://openalex.org/W7125604620","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340393","title":"SMOTE and ADASYN to Augment Neuroradiomic Data: A Comparative Analysis","display_name":"SMOTE and ADASYN to Augment Neuroradiomic Data: A Comparative Analysis","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125604620","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340393"},"language":null,"primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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/A5093077050","display_name":"Bukhtawar Zamir","orcid":"https://orcid.org/0009-0002-4600-5184"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Bukhtawar Zamir","raw_affiliation_strings":["University of Campania Luigi Vanvitelli,Department of Engineering,Aversa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campania Luigi Vanvitelli,Department of Engineering,Aversa,Italy","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065466648","display_name":"Noemi Pisani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126337","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":null,"country_code":"IT","type":null,"lineage":["https://openalex.org/I4210126337"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Noemi Pisani","raw_affiliation_strings":["University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138","institution_ids":["https://openalex.org/I4210126337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050828149","display_name":"Maria Agnese Pirozzi","orcid":"https://orcid.org/0000-0002-4632-3513"},"institutions":[{"id":"https://openalex.org/I4210126337","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":null,"country_code":"IT","type":null,"lineage":["https://openalex.org/I4210126337"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Agnese Pirozzi","raw_affiliation_strings":["University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138","institution_ids":["https://openalex.org/I4210126337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069172721","display_name":"Maria Teresa Pellecchia","orcid":"https://orcid.org/0000-0002-6217-313X"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Teresa Pellecchia","raw_affiliation_strings":["“Scuola Medica Salernitana”, University of Salerno,Department of Medicine, Surgery and Dentistry,Baronissi,SA,Italy,84081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"“Scuola Medica Salernitana”, University of Salerno,Department of Medicine, Surgery and Dentistry,Baronissi,SA,Italy,84081","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044617873","display_name":"Leandro Donisi","orcid":"https://orcid.org/0000-0002-9746-2265"},"institutions":[{"id":"https://openalex.org/I4210126337","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":null,"country_code":"IT","type":null,"lineage":["https://openalex.org/I4210126337"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Leandro Donisi","raw_affiliation_strings":["University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138","institution_ids":["https://openalex.org/I4210126337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053703383","display_name":"Fabrizio Esposito","orcid":"https://orcid.org/0000-0002-5099-9786"},"institutions":[{"id":"https://openalex.org/I4210126337","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":null,"country_code":"IT","type":null,"lineage":["https://openalex.org/I4210126337"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Esposito","raw_affiliation_strings":["University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campania Luigi Vanvitelli,Department of Medical and Surgical Sciences,Napoli,Italy,80138","institution_ids":["https://openalex.org/I4210126337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5093077050"],"corresponding_institution_ids":["https://openalex.org/I197809005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69914875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"42"},"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":0.9908999800682068,"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":0.9908999800682068,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T10862","display_name":"AI in cancer detection","score":0.0008999999845400453,"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/radiomics","display_name":"Radiomics","score":0.7365999817848206},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5964999794960022},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5264000296592712},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49059998989105225},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46129998564720154},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.41690000891685486},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.39169999957084656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.385699987411499}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.7365999817848206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934999823570251},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299999713897705},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5264000296592712},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5112000107765198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49059998989105225},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46129998564720154},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41269999742507935},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C2779070825","wikidata":"https://www.wikidata.org/wiki/Q760434","display_name":"Augment","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.3003999888896942},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.28290000557899475},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.2732999920845032}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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":24,"referenced_works":["https://openalex.org/W2104933073","https://openalex.org/W2148143831","https://openalex.org/W2618677231","https://openalex.org/W2903804687","https://openalex.org/W2997591727","https://openalex.org/W3081555316","https://openalex.org/W3100278850","https://openalex.org/W3163086467","https://openalex.org/W3189056701","https://openalex.org/W3194987773","https://openalex.org/W3206189455","https://openalex.org/W3213967829","https://openalex.org/W4210437528","https://openalex.org/W4376643503","https://openalex.org/W4383878237","https://openalex.org/W4386379561","https://openalex.org/W4387106679","https://openalex.org/W4393236711","https://openalex.org/W4396659369","https://openalex.org/W4401052728","https://openalex.org/W4403607874","https://openalex.org/W4405756323","https://openalex.org/W4408884573","https://openalex.org/W4409247596"],"related_works":[],"abstract_inverted_index":{"Radiomics":[0],"enables":[1],"the":[2,18,32,51,97,104,117,134,144,156,162,181],"extraction":[3],"of":[4,35,88,125,136],"quantitative":[5],"features":[6,75],"from":[7,77],"medical":[8,46],"images,":[9],"supporting":[10],"data-driven":[11],"approaches":[12],"for":[13,148,191],"diagnosis":[14],"and":[15,41,65,92,111,151,176],"prognosis.":[16],"However,":[17],"field":[19],"is":[20],"often":[21],"constrained":[22],"by":[23,53,142],"limited":[24],"sample":[25,138],"size,":[26],"due":[27],"to":[28,71,132,161],"factors":[29],"such":[30],"as":[31],"high":[33],"cost":[34],"imaging,":[36],"strict":[37],"patient":[38],"eligibility":[39],"criteria,":[40],"challenges":[42],"in":[43,123,140,194],"acquiring":[44],"annotated":[45],"data.":[47],"This":[48],"study":[49],"addressed":[50],"limitation":[52],"applying":[54],"two":[55,118,182],"synthetic":[56,153],"data":[57,106,120,154,178],"augmentation":[58,109,121],"techniques:":[59],"Synthetic":[60,67],"Minority":[61],"Over-sampling":[62],"Technique":[63],"(SMOTE)":[64],"Adaptive":[66],"Sampling":[68],"(ADASYN)":[69],"directly":[70],"structured":[72],"first-order":[73,94,126],"radiomic":[74,95,127,157],"derived":[76],"Tl-weighted":[78],"brain":[79],"magnetic":[80],"resonance":[81],"imaging.":[82],"Working":[83],"with":[84],"a":[85],"small":[86,137],"dataset":[87],"55":[89],"healthy":[90],"subjects":[91],"18":[93],"features,":[96],"research":[98],"evaluated":[99],"which":[100],"method":[101],"better":[102],"preserves":[103],"original":[105],"distribution":[107],"improving":[108],"quality":[110],"if":[112],"there":[113,169],"was":[114,131,166,170],"agreement":[115],"between":[116,174],"different":[119,183],"techniques":[122,187],"terms":[124],"features.":[128],"The":[129],"goal":[130],"address":[133],"limitations":[135],"sizes":[139],"radiomics":[141,195],"determining":[143],"more":[145],"effective":[146],"technique":[147],"generating":[149],"stable":[150],"diverse":[152],"within":[155],"feature":[158],"space.":[159],"According":[160],"preliminary":[163],"results,":[164],"it":[165],"found":[167],"that":[168],"no":[171],"significant":[172],"divergence":[173],"real":[175],"augmented":[177],"generated":[179],"using":[180],"approaches.":[184],"Therefore,":[185],"both":[186],"might":[188],"be":[189],"used":[190],"further":[192],"analysis":[193],"studies.":[196]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-01-25T00:00:00"}