{"id":"https://openalex.org/W4392051226","doi":"https://doi.org/10.1007/s11263-024-02004-y","title":"Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation","display_name":"Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation","publication_year":2024,"publication_date":"2024-02-22","ids":{"openalex":"https://openalex.org/W4392051226","doi":"https://doi.org/10.1007/s11263-024-02004-y"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02004-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02004-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02004-y.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02004-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119272145","display_name":"Jianan Fan","orcid":"https://orcid.org/0000-0003-4424-9572"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianan Fan","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, NSW, 2008, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, NSW, 2008, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027686620","display_name":"Dongnan Liu","orcid":"https://orcid.org/0000-0001-8102-3949"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dongnan Liu","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, NSW, 2008, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, NSW, 2008, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047619963","display_name":"Hang Chang","orcid":"https://orcid.org/0000-0002-3773-6818"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Chang","raw_affiliation_strings":["Berkeley Biomedical Data Science Center, Lawrence Berkely National Laboratory, Berkeley, CA, 94720, USA","Biological Systems and Engineering Division, Lawrence Berkely National Laboratory, Berkeley, CA, 94720, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berkeley Biomedical Data Science Center, Lawrence Berkely National Laboratory, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Biological Systems and Engineering Division, Lawrence Berkely National Laboratory, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, NSW, 2008, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3706-8896","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, NSW, 2008, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076697411"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":{"value":3690,"currency":"USD","value_usd":3690},"apc_paid":{"value":3690,"currency":"USD","value_usd":3690},"fwci":4.5696,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95731775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"132","issue":"8","first_page":"2861","last_page":"2884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11949","display_name":"Nuclear Physics and Applications","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11949","display_name":"Nuclear Physics and Applications","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.659486711025238},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.654128909111023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.623915433883667},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5768164396286011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5400794744491577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2907326817512512}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659486711025238},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.654128909111023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.623915433883667},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5768164396286011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5400794744491577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2907326817512512},{"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:10.1007/s11263-024-02004-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02004-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02004-y.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-024-02004-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-024-02004-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-024-02004-y.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320966","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392051226.pdf","grobid_xml":"https://content.openalex.org/works/W4392051226.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1982716740","https://openalex.org/W2004273576","https://openalex.org/W2019062120","https://openalex.org/W2022686119","https://openalex.org/W2129112648","https://openalex.org/W2151053660","https://openalex.org/W2151650298","https://openalex.org/W2161160262","https://openalex.org/W2193985477","https://openalex.org/W2194775991","https://openalex.org/W2550409828","https://openalex.org/W2565639579","https://openalex.org/W2592905743","https://openalex.org/W2593768305","https://openalex.org/W2767657961","https://openalex.org/W2798643036","https://openalex.org/W2892269335","https://openalex.org/W2910628332","https://openalex.org/W2948141910","https://openalex.org/W2952056941","https://openalex.org/W2955737766","https://openalex.org/W2962793481","https://openalex.org/W2963049565","https://openalex.org/W2963150697","https://openalex.org/W2963519194","https://openalex.org/W2963797156","https://openalex.org/W2964282006","https://openalex.org/W2964285681","https://openalex.org/W2974825848","https://openalex.org/W2979509742","https://openalex.org/W2980113592","https://openalex.org/W3008251376","https://openalex.org/W3013884416","https://openalex.org/W3034457289","https://openalex.org/W3034478348","https://openalex.org/W3035260401","https://openalex.org/W3035294798","https://openalex.org/W3045240247","https://openalex.org/W3048967152","https://openalex.org/W3085410595","https://openalex.org/W3105326531","https://openalex.org/W3106734733","https://openalex.org/W3108381568","https://openalex.org/W3120787319","https://openalex.org/W3123127756","https://openalex.org/W3128202743","https://openalex.org/W3131250779","https://openalex.org/W3132111858","https://openalex.org/W3166542014","https://openalex.org/W3168470487","https://openalex.org/W3168888670","https://openalex.org/W3174862668","https://openalex.org/W3175308890","https://openalex.org/W3176052592","https://openalex.org/W3180439858","https://openalex.org/W3181095825","https://openalex.org/W3182200686","https://openalex.org/W3185997991","https://openalex.org/W3190070581","https://openalex.org/W3194643899","https://openalex.org/W3195778102","https://openalex.org/W3203529586","https://openalex.org/W3208051929","https://openalex.org/W3210550184","https://openalex.org/W4213435017","https://openalex.org/W4221120529","https://openalex.org/W4226337960","https://openalex.org/W4289639938","https://openalex.org/W4292793954","https://openalex.org/W4294612686","https://openalex.org/W4306179948","https://openalex.org/W4312243476","https://openalex.org/W4312539138","https://openalex.org/W4367840559","https://openalex.org/W4385804983","https://openalex.org/W6809087812"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Abstract":[0],"Annotation":[1],"scarcity":[2],"and":[3,105,126,153,188,199,207,218,238],"cross-modality/stain":[4],"data":[5,68],"distribution":[6],"shifts":[7],"are":[8,62,175],"two":[9],"major":[10],"obstacles":[11],"hindering":[12],"the":[13,44,65,78,85,90,112,120,123,135,160,181,210,229],"application":[14],"of":[15,27,162,225,231],"deep":[16],"learning":[17],"models":[18],"for":[19,51,111],"nuclei":[20,53],"analysis,":[21],"which":[22,166],"holds":[23],"a":[24,139,195,222],"broad":[25,223],"spectrum":[26],"potential":[28],"applications":[29],"in":[30,55,185,209],"digital":[31],"pathology.":[32],"Recently,":[33],"unsupervised":[34,52],"domain":[35,72,88,92,125,130],"adaptation":[36,131],"(UDA)":[37],"methods":[38,61],"have":[39],"been":[40],"proposed":[41,144],"to":[42,83,117,133,145,168,179,203],"mitigate":[43],"distributional":[45],"gap":[46],"between":[47],"different":[48],"imaging":[49],"modalities":[50],"segmentation":[54],"histopathology":[56,86,124,186],"images.":[57,212],"However,":[58],"existing":[59,163],"UDA":[60,237],"built":[63],"upon":[64],"assumption":[66],"that":[67],"distributions":[69],"within":[70,122],"each":[71],"should":[73],"be":[74],"uniform.":[75],"Based":[76],"on":[77,215],"over-simplified":[79],"supposition,":[80],"they":[81],"propose":[82,116,194],"align":[84],"target":[87],"with":[89,235],"source":[91],"integrally,":[93],"neglecting":[94],"severe":[95],"intra-domain":[96],"discrepancy":[97],"over":[98,221],"subpartitions":[99],"incurred":[100],"by":[101],"mixed":[102],"cancer":[103],"types":[104],"sampling":[106],"organs.":[107],"In":[108,137],"this":[109],"paper,":[110],"first":[113],"time,":[114],"we":[115,193],"explicitly":[118],"consider":[119],"heterogeneity":[121],"introduce":[127],"open":[128],"compound":[129],"(OCDA)":[132],"resolve":[134],"crux.":[136],"specific,":[138],"two-stage":[140],"disentanglement":[141],"framework":[142],"is":[143],"acquire":[146],"domain-invariant":[147],"feature":[148],"representations":[149],"at":[150],"both":[151,216],"image":[152],"instance":[154],"levels.":[155],"The":[156],"holistic":[157],"design":[158],"addresses":[159],"limitations":[161],"OCDA":[164,239],"approaches":[165],"struggle":[167],"capture":[169],"instance-wise":[170],"variations.":[171],"Two":[172],"regularization":[173],"strategies":[174],"specifically":[176],"devised":[177],"herein":[178],"leverage":[180],"rich":[182],"subpartition-specific":[183],"characteristics":[184],"images":[187],"facilitate":[189],"subdomain":[190],"decomposition.":[191],"Moreover,":[192],"dual-branch":[196],"nucleus":[197,205],"shape":[198],"structure":[200],"preserving":[201],"module":[202],"prevent":[204],"over-generation":[206],"deformation":[208],"synthesized":[211],"Experimental":[213],"results":[214],"cross-modality":[217],"cross-stain":[219],"scenarios":[220],"range":[224],"diverse":[226],"datasets":[227],"demonstrate":[228],"superiority":[230],"our":[232],"method":[233],"compared":[234],"state-of-the-art":[236],"methods.":[240],"Graphical":[241],"abstract":[242]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}