{"id":"https://openalex.org/W4389913576","doi":"https://doi.org/10.1109/lsp.2023.3344312","title":"Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer","display_name":"Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389913576","doi":"https://doi.org/10.1109/lsp.2023.3344312"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3344312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3344312","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5016582460","display_name":"Zhaowei Tang","orcid":"https://orcid.org/0009-0008-1791-215X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhiri Tang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China","Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0009-0008-1791-215X","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-1530-7529","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030890710","display_name":"Zekuan Yu","orcid":"https://orcid.org/0000-0003-3655-872X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zekuan Yu","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3655-872X","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0395,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78526372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"136","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9995999932289124,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9995999932289124,"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/T10828","display_name":"Biometric Identification and Security","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/differential-privacy","display_name":"Differential privacy","score":0.7523933053016663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744978427886963},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5185930728912354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4667978882789612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4597932994365692},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4363166391849518},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21283966302871704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1733373999595642},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07466837763786316}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7523933053016663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744978427886963},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5185930728912354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4667978882789612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4597932994365692},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4363166391849518},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21283966302871704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1733373999595642},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07466837763786316},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3344312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3344312","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8916913658","display_name":null,"funder_award_id":"82103964","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1861492603","https://openalex.org/W1873763122","https://openalex.org/W2027595342","https://openalex.org/W2194775991","https://openalex.org/W2767040741","https://openalex.org/W2903890850","https://openalex.org/W2912213068","https://openalex.org/W2946839276","https://openalex.org/W2964115968","https://openalex.org/W2966096374","https://openalex.org/W2968012624","https://openalex.org/W2985716666","https://openalex.org/W2990239018","https://openalex.org/W2997747744","https://openalex.org/W2998115938","https://openalex.org/W3009001848","https://openalex.org/W3033022871","https://openalex.org/W3122431193","https://openalex.org/W3143747286","https://openalex.org/W3175311671","https://openalex.org/W3214198643","https://openalex.org/W4213435017","https://openalex.org/W4226337960","https://openalex.org/W4285108271","https://openalex.org/W4295940465","https://openalex.org/W4300479382","https://openalex.org/W4321489045","https://openalex.org/W4365149899","https://openalex.org/W4385938147","https://openalex.org/W6633949838","https://openalex.org/W6725448924"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Adopting":[0],"deep":[1,26],"learning":[2,27,55,61],"in":[3,17,121,145],"early":[4],"fundus":[5,37],"screening":[6],"images":[7,38],"benefits":[8],"ocular":[9,73,148],"disease":[10,74],"recognition":[11],"and":[12,33,47,66,90,115,127],"helps":[13],"patients":[14],"avoid":[15],"blindness":[16],"recent":[18],"years.":[19],"The":[20],"robust":[21],"data":[22,32],"representation":[23],"capability":[24],"of":[25,87,125],"is":[28,70,81,94,130],"derived":[29],"from":[30,40],"numerous":[31],"annotations.":[34],"However,":[35],"the":[36,85,108,122,143],"collected":[39],"hospitals":[41],"or":[42],"institutes":[43],"have":[44],"privacy":[45,65,86],"issues":[46],"obvious":[48],"domain":[49,68,104,134],"gaps,":[50],"which":[51,106],"greatly":[52],"influence":[53],"multi-site":[54],"performance.":[56],"In":[57],"this":[58],"work,":[59],"a":[60,77,91,97,146],"system":[62],"with":[63],"differential":[64],"unsupervised":[67,103,133],"regularizer":[69],"proposed":[71,131],"for":[72,132],"recognition.":[75],"First,":[76],"Laplace":[78],"randomized":[79],"mechanism":[80],"introduced":[82],"to":[83],"keep":[84],"local":[88],"models":[89],"global":[92],"model":[93],"constructed":[95],"via":[96],"weighted":[98],"sum":[99],"process.":[100],"Second,":[101],"an":[102,118],"regularizer,":[105],"converts":[107],"last":[109],"fully-connected":[110],"layer":[111],"into":[112],"two":[113],"sub-layers":[114],"then":[116],"adopts":[117],"MMD":[119],"loss":[120],"element-wise":[123],"layers":[124],"source":[126],"target":[128],"domains,":[129],"adaptation.":[135],"Numerous":[136],"experiments,":[137],"including":[138],"four":[139],"different":[140],"settings,":[141],"verify":[142],"performance":[144],"multi-disease":[147],"dataset.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
