{"id":"https://openalex.org/W4388186392","doi":"https://doi.org/10.1145/3581783.3612335","title":"Uni-Dual: A Generic Unified Dual-Task Medical Self-Supervised Learning Framework","display_name":"Uni-Dual: A Generic Unified Dual-Task Medical Self-Supervised Learning Framework","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388186392","doi":"https://doi.org/10.1145/3581783.3612335"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5059679544","display_name":"Boxiang Yun","orcid":"https://orcid.org/0000-0003-2233-6691"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boxiang Yun","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003171599","display_name":"Xingran Xie","orcid":"https://orcid.org/0009-0009-1449-1852"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingran Xie","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101596247","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-1592-9627"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059679544"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.5237,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72162902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3887","last_page":"3896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9933000206947327,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7890443801879883},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6937564611434937},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6929186582565308},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6652567982673645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583947539329529},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6413602828979492},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4713762700557709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44410187005996704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3953142762184143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890443801879883},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6937564611434937},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6929186582565308},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6652567982673645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583947539329529},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6413602828979492},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4713762700557709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44410187005996704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3953142762184143},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1361916995","display_name":null,"funder_award_id":"62101191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2973223028","display_name":null,"funder_award_id":"22DZ2229004","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2092116045","https://openalex.org/W2332150588","https://openalex.org/W2618530766","https://openalex.org/W2748530166","https://openalex.org/W2962858109","https://openalex.org/W2979708377","https://openalex.org/W2981108991","https://openalex.org/W3035524453","https://openalex.org/W3036968235","https://openalex.org/W3048631361","https://openalex.org/W3087334746","https://openalex.org/W3095501411","https://openalex.org/W3102692100","https://openalex.org/W3132115664","https://openalex.org/W3155072588","https://openalex.org/W3159481202","https://openalex.org/W3165647589","https://openalex.org/W3171007011","https://openalex.org/W3212407416","https://openalex.org/W3214085799","https://openalex.org/W4234552385","https://openalex.org/W4234678828","https://openalex.org/W4285296445","https://openalex.org/W4286251888","https://openalex.org/W4286697128","https://openalex.org/W4287755086","https://openalex.org/W4306177947","https://openalex.org/W4312310776","https://openalex.org/W4312428231","https://openalex.org/W4312742553","https://openalex.org/W4312933868","https://openalex.org/W4313156423","https://openalex.org/W4386352556"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935"],"abstract_inverted_index":{"RGB":[0,91,166],"images":[1,5,92,167],"and":[2,19,52,80,93,159,165],"medical":[3],"hyperspectral":[4],"(MHSIs)":[6],"are":[7,97],"two":[8],"widely-used":[9],"modalities":[10,181],"in":[11],"computational":[12],"pathology.":[13],"The":[14,31],"former":[15],"is":[16,33],"cheap,":[17],"easy":[18],"fast":[20],"to":[21,147],"obtain":[22],"while":[23],"lacking":[24],"pathological":[25],"information":[26,161],"such":[27,47],"as":[28,48],"physiochemical":[29],"state.":[30],"latter":[32],"an":[34],"emerging":[35],"modality":[36,153],"which":[37,72,104,120,142],"captures":[38],"electromagnetic":[39],"radiation":[40],"matter":[41],"interaction":[42,128],"but":[43],"suffers":[44],"from":[45,163],"problems":[46],"high":[49],"time":[50],"cost":[51],"low":[53],"spatial":[54],"resolution.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,84],"bring":[60],"forward":[61],"a":[62,86,100,116],"unified":[63,87,140],"dual-task":[64],"multi-modality":[65],"self-supervised":[66],"learning":[67,102,118,162],"(SSL)":[68],"framework,":[69],"called":[70],"Uni-Dual,":[71],"takes":[73],"the":[74,110,127,135,183],"most":[75],"use":[76],"of":[77],"both":[78],"paired":[79],"unpaired":[81,113],"RGB-MHSIs.":[82],"Concretely,":[83],"design":[85],"SSL":[88,190],"paradigm":[89],"for":[90,168],"MHSIs.":[94],"Two":[95],"tasks":[96,150,178],"proposed:":[98],"(1)":[99,138],"discrimination":[101],"task":[103,119],"learns":[105],"high-level":[106],"semantics":[107],"via":[108,125],"mining":[109],"cross-correlation":[111],"across":[112,129],"RGB-MHSIs,":[114],"(2)":[115,155],"reconstruction":[117],"models":[121],"low-level":[122],"stochastic":[123],"variations":[124],"furthering":[126],"RGB-MHSI":[130],"pairs.":[131],"Our":[132],"Uni-Dual":[133,185],"enjoys":[134],"following":[136],"benefits:":[137],"A":[139],"model":[141],"can":[143],"be":[144],"easily":[145],"transferred":[146],"different":[148,180],"downstream":[149,177],"on":[151,175],"various":[152,176],"combinations.":[154],"We":[156],"consider":[157],"multi-constituent":[158],"structured":[160],"MHSIs":[164],"low-cost":[169],"high-precision":[170],"clinical":[171],"purposes.":[172],"Experiments":[173],"conducted":[174],"with":[179],"show":[182],"proposed":[184],"substantially":[186],"outperforms":[187],"other":[188],"competitive":[189],"methods.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
