{"id":"https://openalex.org/W4302760618","doi":"https://doi.org/10.1109/tmi.2022.3212784","title":"GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection","display_name":"GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4302760618","doi":"https://doi.org/10.1109/tmi.2022.3212784","pmid":"https://pubmed.ncbi.nlm.nih.gov/36201413"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3212784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3212784","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5007280855","display_name":"Chaoqi Chen","orcid":"https://orcid.org/0000-0002-0052-3819"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chaoqi Chen","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-0052-3819","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695034","display_name":"Jiexiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiexiang Wang","raw_affiliation_strings":["ByteDance, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057847376","display_name":"Junwen Pan","orcid":"https://orcid.org/0000-0002-8781-6090"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junwen Pan","raw_affiliation_strings":["ByteDance, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8781-6090","affiliations":[{"raw_affiliation_string":"ByteDance, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002492763","display_name":"Cheng Bian","orcid":"https://orcid.org/0000-0003-1564-3554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Bian","raw_affiliation_strings":["ByteDance, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456083","display_name":"Zhicheng Zhang","orcid":"https://orcid.org/0000-0002-5333-1394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Zhang","raw_affiliation_strings":["ByteDance, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5333-1394","affiliations":[{"raw_affiliation_string":"ByteDance, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007280855"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.1098,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81708018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"42","issue":"2","first_page":"507","last_page":"518"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9853000044822693,"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":0.759469211101532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5666179060935974},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5039157271385193},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5036191344261169},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4999725818634033},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4218427836894989},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42022082209587097},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.41909343004226685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3927668631076813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.377238392829895},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3167276680469513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09808090329170227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759469211101532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666179060935974},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5039157271385193},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5036191344261169},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4999725818634033},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4218427836894989},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42022082209587097},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.41909343004226685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3927668631076813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.377238392829895},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3167276680469513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09808090329170227},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3212784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3212784","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:36201413","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36201413","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5101672343","display_name":null,"funder_award_id":"62001464","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":63,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W304373761","https://openalex.org/W639708223","https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1861492603","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2031342017","https://openalex.org/W2105527258","https://openalex.org/W2159291411","https://openalex.org/W2417433140","https://openalex.org/W2562469482","https://openalex.org/W2593768305","https://openalex.org/W2621459563","https://openalex.org/W2787564202","https://openalex.org/W2788768841","https://openalex.org/W2795155917","https://openalex.org/W2892235178","https://openalex.org/W2909805545","https://openalex.org/W2955889502","https://openalex.org/W2962687275","https://openalex.org/W2962825119","https://openalex.org/W2962837118","https://openalex.org/W2963217615","https://openalex.org/W2963240485","https://openalex.org/W2964015378","https://openalex.org/W2964115968","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W2968634921","https://openalex.org/W2979548969","https://openalex.org/W2979729779","https://openalex.org/W2981489554","https://openalex.org/W2989236540","https://openalex.org/W2990740643","https://openalex.org/W3034779842","https://openalex.org/W3034937575","https://openalex.org/W3035175896","https://openalex.org/W3035260401","https://openalex.org/W3080892331","https://openalex.org/W3103261259","https://openalex.org/W3130794141","https://openalex.org/W3151382581","https://openalex.org/W3162189952","https://openalex.org/W3194643899","https://openalex.org/W3203554015","https://openalex.org/W3206554574","https://openalex.org/W3213646008","https://openalex.org/W4297733535","https://openalex.org/W4320013936","https://openalex.org/W6620707391","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6639102338","https://openalex.org/W6675784843","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6726873649","https://openalex.org/W6734335776","https://openalex.org/W6750109254","https://openalex.org/W6757500957","https://openalex.org/W6770444568"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W1972035260","https://openalex.org/W4282827391","https://openalex.org/W4386828785","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W3165580226","https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W4385573474"],"abstract_inverted_index":{"Adversarial-based":[0],"adaptation":[1],"has":[2],"dominated":[3],"the":[4,11,22,28,33,77,85,93,113,144,152,163,171,191,198,212,217],"area":[5],"of":[6,32,87,95,154,162,194,207,222,228],"domain":[7,88],"adaptive":[8,89],"detection":[9,91,200,221],"over":[10],"past":[12],"few":[13],"years.":[14],"Despite":[15],"their":[16],"general":[17],"efficacy":[18],"for":[19,131,197,220],"various":[20],"tasks,":[21],"learned":[23,195],"representations":[24],"may":[25],"not":[26],"capture":[27],"intrinsic":[29],"topological":[30,117],"structures":[31],"whole":[34,166],"images":[35,226],"and":[36,71,98,115,135,146,165,169,181,227],"thus":[37],"are":[38,72,149],"vulnerable":[39],"to":[40,74,106,126,157,176],"distributional":[41],"shifts":[42],"especially":[43],"in":[44,54,76,224,230],"real-world":[45],"applications,":[46],"such":[47],"as":[48],"geometric":[49],"distortions":[50],"across":[51,64],"imaging":[52],"devices":[53],"medical":[55,167],"images.":[56,232],"In":[57,80],"this":[58,81],"case,":[59],"forcefully":[60],"matching":[61],"data":[62],"distributions":[63],"domains":[65],"cannot":[66],"ensure":[67],"precise":[68],"knowledge":[69,173],"transfer":[70,170],"prone":[73],"result":[75],"negative":[78],"transfer.":[79],"paper,":[82],"we":[83,122],"explore":[84],"problem":[86],"lesion":[90,164,199],"from":[92,174],"perspective":[94],"relational":[96],"reasoning,":[97],"propose":[99],"a":[100,159],"Graph-Structured":[101],"Knowledge":[102],"Transfer":[103],"(GraphSKT)":[104],"framework":[105],"perform":[107],"hierarchical":[108],"reasoning":[109],"by":[110],"modeling":[111],"both":[112],"intra-":[114,145],"inter-domain":[116,147],"structures.":[118],"To":[119],"be":[120],"specific,":[121],"utilize":[123],"cross-domain":[124],"correspondence":[125],"mine":[127],"meaningful":[128],"foreground":[129],"regions":[130],"representing":[132],"graph":[133,187],"nodes":[134,188],"explicitly":[136],"endow":[137],"each":[138],"node":[139],"with":[140],"contextual":[141,180],"information.":[142],"Then,":[143],"graphs":[148],"built":[150],"on":[151,204],"top":[153],"instance-level":[155],"features":[156,196],"achieve":[158],"high-level":[160],"understanding":[161],"image,":[168],"structured":[172],"source":[175],"target":[177],"domains.":[178],"The":[179],"semantic":[182],"information":[183],"is":[184],"propagated":[185],"through":[186],"methodically,":[189],"enhancing":[190],"expressive":[192],"power":[193],"tasks.":[201],"Extensive":[202],"experiments":[203],"two":[205],"types":[206],"challenging":[208],"datasets":[209],"demonstrate":[210],"that":[211],"proposed":[213],"GraphSKT":[214],"significantly":[215],"outperforms":[216],"state-of-the-art":[218],"approaches":[219],"polyps":[223],"colonoscopy":[225],"mass":[229],"mammographic":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}