{"id":"https://openalex.org/W4402727907","doi":"https://doi.org/10.1109/cvpr52733.2024.01057","title":"Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning","display_name":"Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402727907","doi":"https://doi.org/10.1109/cvpr52733.2024.01057"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.01057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5079154390","display_name":"Yiwen Ye","orcid":"https://orcid.org/0000-0003-2189-6865"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Ye","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101756484","display_name":"Yutong Xie","orcid":"https://orcid.org/0000-0003-3861-6778"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yutong Xie","raw_affiliation_strings":["Australian Institute for Machine Learning (AIML), The University of Adelaide,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning (AIML), The University of Adelaide,Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658356","display_name":"Jianpeng Zhang","orcid":"https://orcid.org/0000-0003-1647-7447"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianpeng Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324483","display_name":"Ziyang Chen","orcid":"https://orcid.org/0000-0002-2467-8372"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071021268","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0001-8642-0783"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["Australian Institute for Machine Learning (AIML), The University of Adelaide,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning (AIML), The University of Adelaide,Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100670074","display_name":"Yong Xia","orcid":"https://orcid.org/0000-0001-9273-2847"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xia","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11114","last_page":"11124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9907000064849854,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9907000064849854,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9889000058174133,"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":0.9804999828338623,"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/computer-science","display_name":"Computer science","score":0.7306389212608337},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6933719515800476},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6175031661987305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.581612229347229},{"id":"https://openalex.org/keywords/self-representation","display_name":"Self representation","score":0.5724865794181824},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5262105464935303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5119984745979309},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.480133980512619},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4165143370628357},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.41288867592811584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7306389212608337},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6933719515800476},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6175031661987305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.581612229347229},{"id":"https://openalex.org/C2988612419","wikidata":"https://www.wikidata.org/wiki/Q7448312","display_name":"Self representation","level":2,"score":0.5724865794181824},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5262105464935303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5119984745979309},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.480133980512619},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4165143370628357},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.41288867592811584},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.01057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4480557401","display_name":null,"funder_award_id":"62171377","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2078524519","https://openalex.org/W2288892845","https://openalex.org/W2768282280","https://openalex.org/W2883683269","https://openalex.org/W2896457183","https://openalex.org/W2910094941","https://openalex.org/W2963072899","https://openalex.org/W2995225687","https://openalex.org/W3016836174","https://openalex.org/W3033671339","https://openalex.org/W3093394156","https://openalex.org/W3097784654","https://openalex.org/W3120430728","https://openalex.org/W3120506007","https://openalex.org/W3153351689","https://openalex.org/W3173809883","https://openalex.org/W3196792593","https://openalex.org/W3199098260","https://openalex.org/W3204014573","https://openalex.org/W3208578242","https://openalex.org/W3211074487","https://openalex.org/W3216968833","https://openalex.org/W4225777901","https://openalex.org/W4225904073","https://openalex.org/W4283821415","https://openalex.org/W4285736212","https://openalex.org/W4286903142","https://openalex.org/W4287814827","https://openalex.org/W4293560103","https://openalex.org/W4294554825","https://openalex.org/W4295917908","https://openalex.org/W4295936816","https://openalex.org/W4296120703","https://openalex.org/W4307972630","https://openalex.org/W4308235625","https://openalex.org/W4312428231","https://openalex.org/W4312661914","https://openalex.org/W4312742553","https://openalex.org/W4312746376","https://openalex.org/W4324044570","https://openalex.org/W4384162023","https://openalex.org/W4385347692","https://openalex.org/W4386076317","https://openalex.org/W4386829267","https://openalex.org/W4387211015","https://openalex.org/W4387211350","https://openalex.org/W4387211734","https://openalex.org/W4390871833","https://openalex.org/W6638575559","https://openalex.org/W6730251247","https://openalex.org/W6745097924","https://openalex.org/W6755207826","https://openalex.org/W6755950020","https://openalex.org/W6776188292","https://openalex.org/W6784267919","https://openalex.org/W6794440851","https://openalex.org/W6801542713","https://openalex.org/W6802962544","https://openalex.org/W6842837080","https://openalex.org/W6854102865"],"related_works":["https://openalex.org/W2908248196","https://openalex.org/W2951706337","https://openalex.org/W2560283428","https://openalex.org/W2952512863","https://openalex.org/W2168489430","https://openalex.org/W3134504629","https://openalex.org/W121244246","https://openalex.org/W4312390859","https://openalex.org/W2515319207","https://openalex.org/W4224292393"],"abstract_inverted_index":{"Self-supervised":[0],"learning":[1,54,84,121],"(SSL)":[2],"is":[3,15,35],"an":[4],"efficient":[5],"pre-training":[6,113],"method":[7],"for":[8,40,92,159],"medical":[9,94],"image":[10],"analysis.":[11],"However,":[12],"current":[13],"research":[14],"mostly":[16],"confined":[17],"to":[18,106,123,137],"certain":[19],"modalities,":[20],"consuming":[21],"considerable":[22],"time":[23],"and":[24,85,127,139,153,180,194,206],"resources":[25],"without":[26],"achieving":[27],"universality":[28],"across":[29,190],"different":[30],"modalities.":[31],"A":[32],"straightforward":[33],"solution":[34],"combining":[36],"all":[37,69],"modality":[38,142,146,202],"data":[39,63,104,143,158],"joint":[41,98],"SSL,":[42],"which":[43],"poses":[44],"practical":[45],"challenges.":[46],"Firstly,":[47],"our":[48],"experiments":[49,167],"reveal":[50],"conflicts":[51,126],"in":[52,65,198],"representation":[53,99],"as":[55],"the":[56,80,134],"number":[57],"of":[58,82],"modalities":[59,105],"increases.":[60],"Secondly,":[61],"multi-modal":[62,93,171],"collected":[64],"advance":[66],"cannot":[67],"cover":[68],"real-world":[70],"scenarios.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75,132,149],"reconsider":[76],"versatile":[77],"SSL":[78,90],"from":[79,97],"perspective":[81],"continual":[83,120],"propose":[86,116],"MedCoSS,":[87],"a":[88,111,117,169],"continuous":[89],"approach":[91,122],"data.":[95,203],"Different":[96],"learning,":[100],"MedCoSS":[101],"assigns":[102],"varying":[103],"separate":[107],"training":[108],"stages,":[109],"creating":[110],"multi-stage":[112],"process.":[114],"We":[115,165],"rehearsal-":[118],"based":[119],"manage":[124],"modal":[125],"prevent":[128],"catastrophic":[129],"forgetting.":[130],"Specifically,":[131],"use":[133],"k-means":[135],"sampling":[136],"retain":[138],"rehearse":[140],"previous":[141],"during":[144],"new":[145,201],"learning.":[147],"Moreover,":[148],"apply":[150],"feature":[151],"distillation":[152],"intra-modal":[154],"mixup":[155],"on":[156,168],"buffer":[157],"knowledge":[160],"retention,":[161],"bypassing":[162],"pretext":[163],"tasks.":[164],"conduct":[166],"large-scale":[170],"unlabeled":[172],"dataset,":[173],"including":[174],"clinical":[175],"reports,":[176],"X-rays,":[177],"CT,":[178],"MRI,":[179],"pathological":[181],"images.":[182],"Experimental":[183],"results":[184],"demonstrate":[185],"MedCoSS's":[186],"exceptional":[187],"generalization":[188],"ability":[189],"9":[191],"downstream":[192],"datasets":[193],"its":[195],"significant":[196],"scalability":[197],"inte-":[199],"grating":[200],"The":[204],"code":[205],"pre-trained":[207],"model":[208],"are":[209],"available":[210],"at":[211],"https://github.com/yeerwen/MedCoSS.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
