{"id":"https://openalex.org/W3135593949","doi":"https://doi.org/10.1117/12.2610990","title":"Contrastive learning meets transfer learning: a case study in medical image analysis","display_name":"Contrastive learning meets transfer learning: a case study in medical image analysis","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W3135593949","doi":"https://doi.org/10.1117/12.2610990","mag":"3135593949"},"language":"en","primary_location":{"id":"doi:10.1117/12.2610990","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2610990","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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/A5109474372","display_name":"Yuzhe Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuzhe Lu","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019105923","display_name":"Aadarsh Jha","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aadarsh Jha","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037133367","display_name":"Ruining Deng","orcid":"https://orcid.org/0000-0001-6300-8518"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruining Deng","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067191302","display_name":"Yuankai Huo","orcid":"https://orcid.org/0000-0002-2096-8065"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuankai Huo","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109474372"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":0.6236,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65336134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T10862","display_name":"AI in cancer detection","score":0.9919999837875366,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8274288773536682},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7348859310150146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6528398990631104},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5154469609260559},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4878807067871094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48424097895622253},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.46419963240623474},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40815627574920654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274288773536682},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7348859310150146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6528398990631104},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5154469609260559},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4878807067871094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48424097895622253},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.46419963240623474},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40815627574920654},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2610990","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2610990","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2117853077","https://openalex.org/W2140405352","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2321533354","https://openalex.org/W2533800772","https://openalex.org/W2607941059","https://openalex.org/W2622263826","https://openalex.org/W2763421725","https://openalex.org/W2768338208","https://openalex.org/W2794825826","https://openalex.org/W2798991696","https://openalex.org/W2803760365","https://openalex.org/W2887997457","https://openalex.org/W2924828084","https://openalex.org/W2951873722","https://openalex.org/W2970854840","https://openalex.org/W2998388430","https://openalex.org/W3005680577","https://openalex.org/W3007935259","https://openalex.org/W3015146382","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3038835370","https://openalex.org/W3048030262","https://openalex.org/W3097217077","https://openalex.org/W3102785203","https://openalex.org/W3107668149","https://openalex.org/W3118608800","https://openalex.org/W3126004537","https://openalex.org/W3126783352","https://openalex.org/W3171007011","https://openalex.org/W4212774754","https://openalex.org/W4232023503","https://openalex.org/W4234552385","https://openalex.org/W4250006282","https://openalex.org/W4287390226","https://openalex.org/W6638667902","https://openalex.org/W6687483927","https://openalex.org/W6698183232","https://openalex.org/W6700872662","https://openalex.org/W6739622702","https://openalex.org/W6745245109","https://openalex.org/W6749954789","https://openalex.org/W6750782655","https://openalex.org/W6754278344","https://openalex.org/W6761071236","https://openalex.org/W6761306096","https://openalex.org/W6763301180","https://openalex.org/W6770717842","https://openalex.org/W6774314701","https://openalex.org/W6775298725","https://openalex.org/W6779326418","https://openalex.org/W6786614245","https://openalex.org/W6787972765","https://openalex.org/W6790391859"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W4380075502","https://openalex.org/W2889705046","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4312200629","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W4317565044"],"abstract_inverted_index":{"Annotated":[0],"medical":[1],"images":[2],"are":[3,13],"typically":[4],"more":[5],"rare":[6],"than":[7],"labeled":[8],"natural":[9],"images,":[10],"since":[11],"they":[12],"limited":[14],"by":[15],"domain":[16],"knowledge":[17],"and":[18,25,47,143,147],"privacy":[19],"constraints.":[20],"Recent":[21],"advances":[22],"in":[23,114,119],"transfer":[24,41,78],"contrastive":[26,48,75,91,193],"learning":[27,42,49,76,92,194],"have":[28,57],"provided":[29],"effective":[30],"solutions":[31],"to":[32,73,128,183],"tackle":[33],"such":[34,67],"issues":[35],"from":[36],"different":[37,109],"perspectives.":[38],"The":[39,150],"state-of-the-art":[40],"(e.g.,":[43,50],"Big":[44],"Transfer":[45],"(BiT))":[46],"Simple":[51],"Siamese":[52],"Contrastive":[53],"Learning":[54],"(SimSiam))":[55],"approaches":[56],"been":[58],"investigated":[59],"independently,":[60],"without":[61],"considering":[62],"the":[63,99,137,154,158,166,185],"complementary":[64],"nature":[65],"of":[66,89,101,125,139,161,173,187],"techniques.":[68],"It":[69],"would":[70],"be":[71],"appealing":[72],"accelerate":[74,157],"with":[77,104,133,192],"learning,":[79],"given":[80],"that":[81,153],"slow":[82],"convergence":[83,159],"speed":[84,160],"is":[85,121],"a":[86,122],"critical":[87],"limitation":[88],"modern":[90],"approaches.":[93],"In":[94],"this":[95,178],"paper,":[96],"we":[97,135],"investigate":[98],"feasibility":[100],"aligning":[102],"BiT":[103,115,127,132,155],"SimSiam.":[105,129,162],"From":[106],"empirical":[107],"analyses,":[108],"normalization":[110],"techniques":[111],"(Group":[112],"Norm":[113,118],"vs.":[116],"Batch":[117],"SimSiam)":[120],"key":[123],"hurdle":[124],"adapting":[126],"When":[130,163],"combining":[131],"SimSiam,":[134,142],"evaluated":[136],"performance":[138,170],"using":[140],"BiT,":[141],"BiT+SimSiam":[144],"on":[145],"CIFAR-10":[146],"HAM10000":[148],"datasets.":[149],"results":[151],"suggest":[152],"models":[156,191,195],"used":[164],"together,":[165],"model":[167],"gives":[168],"superior":[169],"over":[171],"both":[172],"its":[174],"counterparts.":[175],"We":[176],"hope":[177],"study":[179],"will":[180],"motivate":[181],"researchers":[182],"revisit":[184],"task":[186],"aggregating":[188],"big":[189],"pretrained":[190],"for":[196],"image":[197],"analysis.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
