{"id":"https://openalex.org/W7154575133","doi":"https://doi.org/10.1007/s11263-025-02682-2","title":"ToMo-UDA++: Unsupervised Domain Adaptation for Anatomical Structure Detection Using Enhanced Topology and Morphology Knowledge","display_name":"ToMo-UDA++: Unsupervised Domain Adaptation for Anatomical Structure Detection Using Enhanced Topology and Morphology Knowledge","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154575133","doi":"https://doi.org/10.1007/s11263-025-02682-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-025-02682-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-025-02682-2","pdf_url":null,"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://doi.org/10.1007/s11263-025-02682-2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021389701","display_name":"Bin Pu","orcid":"https://orcid.org/0009-0007-8771-6501"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bin Pu","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0009-0007-8771-6501","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133819560","display_name":"Jiewen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiewen Yang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102596737","display_name":"Xingguo Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguo Lv","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022128373","display_name":"Xingbo Dong","orcid":"https://orcid.org/0000-0001-9782-6068"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingbo Dong","raw_affiliation_strings":["Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, Anhui University, Hefei, 230093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, Anhui University, Hefei, 230093, China","institution_ids":["https://openalex.org/I197869895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133822646","display_name":"Lei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133759277","display_name":"Shengli Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104539","display_name":"Shenzhen Maternity and Child Healthcare Hospital","ror":"https://ror.org/01me2d674","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210104539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Li","raw_affiliation_strings":["Department of Ultrasound, Shenzhen Maternity&Child Healthcare Hospital, Shenzhen, 518028, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Shenzhen Maternity&Child Healthcare Hospital, Shenzhen, 518028, China","institution_ids":["https://openalex.org/I4210104539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133751047","display_name":"Kenli Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052931700","display_name":"X Li","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiaomeng Li","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5052931700"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61812828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"134","issue":"5","first_page":null,"last_page":null},"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":0.24639999866485596,"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":0.24639999866485596,"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/T10862","display_name":"AI in cancer detection","score":0.11909999698400497,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.08900000154972076,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/domain","display_name":"Domain (mathematical analysis)","score":0.6689000129699707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6062999963760376},{"id":"https://openalex.org/keywords/substructure","display_name":"Substructure","score":0.5857999920845032},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5630000233650208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5300999879837036},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5120000243186951},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.49549999833106995},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42969998717308044},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4287000000476837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534999847412109},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6689000129699707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6474000215530396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6062999963760376},{"id":"https://openalex.org/C99679407","wikidata":"https://www.wikidata.org/wiki/Q56761637","display_name":"Substructure","level":2,"score":0.5857999920845032},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5630000233650208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5120000243186951},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42969998717308044},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2667999863624573}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-025-02682-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-025-02682-2","pdf_url":null,"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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-171958","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-171958","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s11263-025-02682-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-025-02682-2","pdf_url":null,"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":[{"id":"https://metadata.un.org/sdg/4","score":0.42429864406585693,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6396121924","display_name":null,"funder_award_id":"62227808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8560870210","display_name":null,"funder_award_id":"62306254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8804632639","display_name":null,"funder_award_id":"62306003","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2593232761","https://openalex.org/W2598799153","https://openalex.org/W2896359486","https://openalex.org/W2915232829","https://openalex.org/W2959183777","https://openalex.org/W2962793481","https://openalex.org/W2963107255","https://openalex.org/W2963797156","https://openalex.org/W2964227007","https://openalex.org/W2966333895","https://openalex.org/W2969583814","https://openalex.org/W2971555134","https://openalex.org/W2977464309","https://openalex.org/W2979616729","https://openalex.org/W2982770724","https://openalex.org/W2990069979","https://openalex.org/W2990740643","https://openalex.org/W3002569343","https://openalex.org/W3006040295","https://openalex.org/W3010381534","https://openalex.org/W3013692475","https://openalex.org/W3034240269","https://openalex.org/W3035175896","https://openalex.org/W3035294798","https://openalex.org/W3035673985","https://openalex.org/W3085410595","https://openalex.org/W3096609285","https://openalex.org/W3109202794","https://openalex.org/W3118035304","https://openalex.org/W3126389275","https://openalex.org/W3130794141","https://openalex.org/W3140120701","https://openalex.org/W3161999894","https://openalex.org/W3163617518","https://openalex.org/W3166409449","https://openalex.org/W3174551531","https://openalex.org/W3180426564","https://openalex.org/W3180439858","https://openalex.org/W3202776058","https://openalex.org/W3217147624","https://openalex.org/W3217571210","https://openalex.org/W4200206211","https://openalex.org/W4211041154","https://openalex.org/W4212823139","https://openalex.org/W4224213643","https://openalex.org/W4244425498","https://openalex.org/W4283700835","https://openalex.org/W4312336875","https://openalex.org/W4312775058","https://openalex.org/W4312993742","https://openalex.org/W4313010876","https://openalex.org/W4313155039","https://openalex.org/W4313160378","https://openalex.org/W4313893207","https://openalex.org/W4319300551","https://openalex.org/W4327852039","https://openalex.org/W4377971432","https://openalex.org/W4381233103","https://openalex.org/W4386066030","https://openalex.org/W4386066119","https://openalex.org/W4386066484","https://openalex.org/W4386071781","https://openalex.org/W4386072135","https://openalex.org/W4387122240","https://openalex.org/W4387211364","https://openalex.org/W4387211574","https://openalex.org/W4387211608","https://openalex.org/W4387319278","https://openalex.org/W4387415222","https://openalex.org/W4387741718","https://openalex.org/W4387968395","https://openalex.org/W4388447804","https://openalex.org/W4390871917","https://openalex.org/W4390872782","https://openalex.org/W4399682786","https://openalex.org/W4399768836","https://openalex.org/W4402754172"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1],"clinical":[2],"practice,":[3],"the":[4,69,92,144,180,199,220,266,282,303,307,336],"detection":[5,70,115,340],"of":[6,18,71,125,160,190,198,276,302,309],"key":[7],"anatomical":[8,72,113,136,204,211,224,250],"structures/organs":[9],"in":[10,116,289,316,342],"medical":[11,33,57,117,291,343],"images":[12,34,58],"is":[13,265],"critical":[14],"for":[15,112,157,179,223,269,338],"a":[16,40,83,149,187],"range":[17],"downstream":[19],"tasks,":[20],"such":[21],"as":[22,128,194,196],"quality":[23],"control":[24],"and":[25,63,104,107,134,140,152,175,192,201,214,285,297,312,323,347],"diagnosis.":[26],"However,":[27],"deep":[28],"learning-based":[29],"models":[30],"trained":[31],"on":[32,281],"from":[35,242],"one":[36,229],"institution/device":[37],"typically":[38],"experience":[39],"performance":[41],"decline":[42],"when":[43],"transferred":[44],"directly":[45],"to":[46,50,77,132,170],"other":[47,145],"institutions/devices":[48],"due":[49],"domain":[51,173,182,203],"gaps.":[52],"Moreover,":[53],"unlike":[54],"natural":[55],"images,":[56,118],"often":[59],"contain":[60],"significant":[61],"noise":[62],"feature":[64],"dense,":[65],"overlapping":[66],"structures,":[67],"making":[68],"structures":[73],"more":[74,150],"challenging.":[75],"Thus,":[76],"tackle":[78],"this":[79],"problem,":[80],"we":[81,164,185,227],"propose":[82],"new":[84,230],"Unsupervised":[85],"Domain":[86],"Adaptation":[87],"(UDA)":[88],"method":[89],"integrated":[90],"with":[91,247],"enhanced":[93,129,154,310],"Anatomy-oriented":[94],"Topology":[95],"Knowledge":[96,101],"Transfer":[97,102],"(ATKT),":[98],"Anatomy-aligned":[99],"Morphology":[100],"(AMKT),":[103],"Auxiliary":[105],"Network":[106],"Ensembling":[108],"Learning":[109],"(ANEL)":[110],"modules":[111],"structure":[114,205,225,339],"named":[119],"ToMo-UDA++.":[120],"ATKT":[121,191],"utilizes":[122],"existing":[123],"knowledge":[124,212],"human":[126],"anatomy":[127,314],"topological":[130,311],"information":[131,315],"reconstruct":[133],"align":[135],"features":[137,206],"across":[138],"source":[139,172,200,348],"target":[141,181,202],"domains.":[142],"On":[143],"hand,":[146],"AMKT":[147],"formulates":[148],"consistent":[151],"independent":[153],"morphological":[155,313],"representation":[156],"each":[158],"substructure":[159],"an":[161,167],"organ.":[162],"Then,":[163],"also":[165],"devise":[166],"auxiliary":[168],"network":[169],"supervise":[171],"training":[174],"generate":[176],"high-quality":[177],"pseudo-labels":[178],"respectively.":[183],"Finally,":[184],"provide":[186],"comprehensive":[188],"optimization":[189],"AMKT,":[193],"well":[195],"alignment":[197],"through":[207],"construct":[208],"templates,":[209],"uncertainty-aware":[210],"alignment,":[213],"bidirectional":[215],"alignment.":[216],"To":[217],"fully":[218],"evaluate":[219],"proposed":[221,283],"ToMo-UDA++":[222,317,322],"detection,":[226],"introduce":[228],"benchmark,":[231],"i.e.,":[232,293],"F":[233],"etal":[234],"U":[235],"ltra":[236],"S":[237,239],"ound":[238],"pine":[240],"dataset":[241,268,334],"T":[243],"hree":[244],"D":[245],"evice":[246],"six":[248],"annotated":[249],"regions":[251],"called":[252],"FUSSD":[253,324],"$$^3$$":[254,325],"<mml:math":[255,326],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[256,327],"<mml:mmultiscripts>":[257,328],"<mml:mrow/>":[258,259,329,330],"<mml:mn>3</mml:mn>":[260,331],"</mml:mmultiscripts>":[261,332],"</mml:math>":[262,333],",":[263],"which":[264],"first":[267],"pure":[270],"cross-device":[271],"multi-structure":[272],"detection.":[273,321],"22":[274],"groups":[275],"adaptation":[277],"experiments":[278],"were":[279],"conducted":[280],"benchmarks":[284],"publicly":[286],"available":[287,351],"datasets":[288],"various":[290],"scenarios,":[292],"cross-medical":[294,298],"center,":[295],"cross-modality,":[296],"device.":[299],"The":[300],"results":[301],"experiment":[304],"show":[305],"that":[306],"use":[308],"greatly":[318],"improves":[319],"organ/structure":[320],"expand":[335],"potential":[337],"tasks":[341],"image":[344],"analysis.":[345],"Datasets":[346],"codes":[349],"are":[350],"at":[352],"https://github.com/Yore0/ToMo-UDA_plus":[353],".":[354]},"counts_by_year":[],"updated_date":"2026-05-31T08:46:17.908082","created_date":"2026-04-17T00:00:00"}