{"id":"https://openalex.org/W4417470259","doi":"https://doi.org/10.1109/tmi.2025.3645860","title":"VGFA: Variation-Robust Graph-Level Feature Alignment for Domain Adaptive Nuclei Detection","display_name":"VGFA: Variation-Robust Graph-Level Feature Alignment for Domain Adaptive Nuclei Detection","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417470259","doi":"https://doi.org/10.1109/tmi.2025.3645860","pmid":"https://pubmed.ncbi.nlm.nih.gov/41411352"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3645860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3645860","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/A5101776125","display_name":"Kai Fan","orcid":"https://orcid.org/0000-0002-6329-8700"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fan","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China","School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6329-8700","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376379","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-0275-4493"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["School of Intelligent Medicine, China Medical University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Medicine, China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111099390","display_name":"Aiqiu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqiu Wu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China","School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0004-0174-6055","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106482568","display_name":"Anli Zhang","orcid":"https://orcid.org/0009-0009-7332-8692"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anli Zhang","raw_affiliation_strings":["Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","Department of Pathology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Pathology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359746","display_name":"Ao Li","orcid":"https://orcid.org/0000-0002-8909-5012"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Li","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China","School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9910-8967","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376902","display_name":"Minghui Wang","orcid":"https://orcid.org/0000-0002-5788-894X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Wang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China","School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5788-894X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Techno logy of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20491907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"5","first_page":"2065","last_page":"2076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9783999919891357,"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":0.9783999919891357,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0032999999821186066,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/feature","display_name":"Feature (linguistics)","score":0.6431000232696533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5702000260353088},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5153999924659729},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4797999858856201},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44209998846054077},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4284999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026000022888184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6431000232696533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195999979972839},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5702000260353088},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4797999858856201},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.42239999771118164},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26570001244544983}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002467","descriptor_name":"Cell Nucleus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3645860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3645860","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:41411352","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41411352","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/G1595390238","display_name":null,"funder_award_id":"2308085MF191","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6041710339","display_name":null,"funder_award_id":"62371435","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6073734421","display_name":null,"funder_award_id":"2308085MF191","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G7078069131","display_name":"\u764c\u75c7\u76f8\u5173\u78f7\u9178\u5316\u4fe1\u53f7\u8f6c\u5bfc\u7f51\u7edc\u653b\u51fb\u53d8\u5f02\u7684\u8ba1\u7b97\u8bc6\u522b\u548c\u5206\u6790\u7814\u7a76","funder_award_id":"61871361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7094097324","display_name":"\u8054\u5408\u57fa\u56e0\u7ec4\u53d8\u5f02\u4e0e\u6570\u5b57\u75c5\u7406\u56fe\u50cf\u7684\u764c\u75c7\u591a\u6a21\u6001\u9884\u540e\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"detection":[1,32],"of":[2,31,48,105],"nuclei":[3,67,143,152,158,169,174,181,204,245],"is":[4,177,209],"a":[5,84,131,150,172,203],"crucial":[6],"step":[7],"in":[8,66,116,218,242],"advancing":[9],"pathology":[10,24,79],"image":[11,56],"analysis":[12],"for":[13,139],"disease":[14],"diagnosis":[15],"and":[16,55,70,120,162],"treatment.":[17],"However,":[18],"significant":[19],"domain":[20,39,141,243],"discrepancies":[21],"exist":[22],"among":[23,190],"images,":[25],"which":[26,73],"severely":[27],"degrade":[28],"the":[29,45,103,113,117,122,168,187],"performance":[30],"models.":[33],"Despite":[34],"promising":[35],"results":[36],"from":[37,167],"existing":[38,238],"adaptation":[40,227],"approaches,":[41],"they":[42],"may":[43],"overlook":[44],"detrimental":[46],"impact":[47],"intra-domain":[49],"variation":[50],"(IDV)":[51],"at":[52],"both":[53],"cell":[54],"scales.":[57],"The":[58],"IDV":[59,106],"issue":[60],"typically":[61],"manifests":[62],"as":[63],"dramatic":[64],"differences":[65],"composition,":[68],"morphology,":[69],"spatial":[71,159],"arrangement,":[72],"occurs":[74],"not":[75],"only":[76],"across":[77,225],"different":[78,226],"images":[80],"but":[81],"also":[82],"within":[83],"single":[85],"image.":[86],"This":[87],"inherent":[88],"heterogeneity":[89],"produces":[90],"highly":[91],"complex":[92],"feature":[93,118,135,216,221,239],"distributions,":[94],"ultimately":[95],"making":[96],"cross-domain":[97,219],"alignment":[98,123,136,217,240],"significantly":[99],"more":[100],"arduous.":[101],"Moreover,":[102,200],"presence":[104],"further":[107],"injects":[108],"noise":[109],"into":[110],"pseudo-labels,":[111],"reducing":[112],"signal-to-noise":[114],"ratio":[115],"space":[119],"complicating":[121],"process.":[124],"To":[125],"tackle":[126],"these":[127],"challenges,":[128],"we":[129],"propose":[130],"novel":[132],"variation-robust":[133],"graph-level":[134],"(VGFA)":[137],"framework":[138,233],"unsupervised":[140],"adaptive":[142,244],"detection.":[144,246],"Specifically,":[145],"our":[146,231],"method":[147],"first":[148],"incorporates":[149],"prior-based":[151],"graph":[153,182,205,220],"pruning":[154],"scheme":[155],"that":[156,184,208,230],"harnesses":[157],"contextual":[160],"priors":[161],"dynamically":[163],"eliminates":[164],"unreliable":[165],"nodes":[166],"graph.":[170],"Then,":[171],"local-global":[173],"encoding":[175],"network":[176],"designed":[178],"to":[179,211],"learn":[180],"representations":[183],"holistically":[185],"encapsulate":[186],"consistent":[188],"traits":[189],"various":[191],"nuclei,":[192],"thereby":[193],"mitigating":[194],"challenges":[195],"posed":[196],"by":[197],"cell-scale":[198],"IDV.":[199],"VGFA":[201,232],"leverages":[202],"discrepancy":[206],"loss":[207],"resilient":[210],"image-scale":[212],"IDV,":[213],"achieving":[214],"effective":[215],"space.":[222],"Extensive":[223],"experiments":[224],"scenarios":[228],"demonstrate":[229],"achieves":[234],"state-of-the-art":[235],"performance,":[236],"outperforming":[237],"methods":[241]},"counts_by_year":[],"updated_date":"2026-05-08T13:12:06.581006","created_date":"2025-12-18T00:00:00"}
