{"id":"https://openalex.org/W3006040295","doi":"https://doi.org/10.1109/tmi.2020.2972701","title":"Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation","display_name":"Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation","publication_year":2020,"publication_date":"2020-02-11","ids":{"openalex":"https://openalex.org/W3006040295","doi":"https://doi.org/10.1109/tmi.2020.2972701","mag":"3006040295","pmid":"https://pubmed.ncbi.nlm.nih.gov/32054572"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.2972701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.2972701","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/A5100420556","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-6040-6833"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090516040","display_name":"Qi Dou","orcid":"https://orcid.org/0000-0002-3416-9950"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Dou","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353596","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-8400-3780"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","Imsight Medical Technology Co., Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Imsight Medical Technology Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662807","display_name":"Jing Qin","orcid":"https://orcid.org/0000-0002-7059-0929"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Qin","raw_affiliation_strings":["Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032708386","display_name":"Pheng\u2010Ann Heng","orcid":"https://orcid.org/0000-0003-3055-5034"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pheng Ann Heng","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","T Stone Robotics Institute, The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"T Stone Robotics Institute, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100420556"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":25.6128,"has_fulltext":false,"cited_by_count":419,"citation_normalized_percentile":{"value":0.99735736,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"39","issue":"7","first_page":"2494","last_page":"2505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980999827384949,"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/T10862","display_name":"AI in cancer detection","score":0.9979000091552734,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9979000091552734,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7400112748146057},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7049841284751892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6841030716896057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461133360862732},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5989684462547302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5783870220184326},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5715564489364624},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5419268608093262},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5176587700843811},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5026412010192871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5013501644134521},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4773997366428375},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.471581369638443},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43694227933883667},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41466596722602844},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4113295376300812},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3006906509399414},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0635496973991394}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7400112748146057},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7049841284751892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6841030716896057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461133360862732},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5989684462547302},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5783870220184326},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5715564489364624},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5419268608093262},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5176587700843811},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5026412010192871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5013501644134521},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4773997366428375},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.471581369638443},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43694227933883667},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41466596722602844},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4113295376300812},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3006906509399414},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0635496973991394},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2020.2972701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.2972701","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:32054572","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32054572","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},{"id":"pmh:oai:hub.hku.hk:10722/349441","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/349441","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-108052","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-108052","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"},{"id":"pmh:oai:repository.ust.hk:1783.1-108052","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85087468237&origin=inward","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":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3569491634","display_name":null,"funder_award_id":"PolyU 152035/17E","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G504901269","display_name":null,"funder_award_id":"ITS/426/17FP","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"},{"id":"https://openalex.org/G6437499681","display_name":null,"funder_award_id":"ITS/311/18FP","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W14148344","https://openalex.org/W1731081199","https://openalex.org/W1901129140","https://openalex.org/W1963516243","https://openalex.org/W2094286293","https://openalex.org/W2099471712","https://openalex.org/W2159037096","https://openalex.org/W2159291411","https://openalex.org/W2291593693","https://openalex.org/W2464708700","https://openalex.org/W2522844972","https://openalex.org/W2526843974","https://openalex.org/W2562469482","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2594179300","https://openalex.org/W2613483135","https://openalex.org/W2617027347","https://openalex.org/W2759965110","https://openalex.org/W2793788053","https://openalex.org/W2795889831","https://openalex.org/W2798892366","https://openalex.org/W2803620993","https://openalex.org/W2876381398","https://openalex.org/W2884292375","https://openalex.org/W2890435066","https://openalex.org/W2891106726","https://openalex.org/W2891179298","https://openalex.org/W2891620554","https://openalex.org/W2891977434","https://openalex.org/W2896359486","https://openalex.org/W2907274850","https://openalex.org/W2915496375","https://openalex.org/W2949477454","https://openalex.org/W2959183777","https://openalex.org/W2962784654","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962825119","https://openalex.org/W2962837118","https://openalex.org/W2962850830","https://openalex.org/W2962914239","https://openalex.org/W2963073614","https://openalex.org/W2963107255","https://openalex.org/W2963182609","https://openalex.org/W2963481481","https://openalex.org/W2963709863","https://openalex.org/W2963797156","https://openalex.org/W2964090697","https://openalex.org/W2964184998","https://openalex.org/W2964288524","https://openalex.org/W2970119729","https://openalex.org/W2998115938","https://openalex.org/W3100715778","https://openalex.org/W3102255912","https://openalex.org/W3103938557","https://openalex.org/W3103943044","https://openalex.org/W4245256608","https://openalex.org/W4320013936","https://openalex.org/W6637618735","https://openalex.org/W6639824700","https://openalex.org/W6683633756","https://openalex.org/W6731131025","https://openalex.org/W6733306783","https://openalex.org/W6746282794","https://openalex.org/W6749923946","https://openalex.org/W6757726594","https://openalex.org/W6767680423"],"related_works":["https://openalex.org/W2204605857","https://openalex.org/W3196005494","https://openalex.org/W2355370993","https://openalex.org/W2093085045","https://openalex.org/W2170380303","https://openalex.org/W1996489018","https://openalex.org/W2069318476","https://openalex.org/W2184524617","https://openalex.org/W2115198604","https://openalex.org/W2183434644"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,38,170],"adaptation":[2,39,139,171],"has":[3],"increasingly":[4],"gained":[5],"interest":[6],"in":[7,96,158],"medical":[8],"image":[9,70],"computing,":[10],"aiming":[11],"to":[12,24,49,55,114],"tackle":[13],"the":[14,79,89,168],"performance":[15,161],"degradation":[16],"of":[17,66,81,88],"deep":[18],"neural":[19],"networks":[20],"when":[21],"being":[22],"deployed":[23],"unseen":[25],"data":[26],"with":[27,100,128],"heterogeneous":[28],"characteristics.":[29],"In":[30,74],"this":[31],"work,":[32],"we":[33,76],"present":[34],"a":[35,52,101,174],"novel":[36],"unsupervised":[37],"framework,":[40],"named":[41],"as":[42],"Synergistic":[43],"Image":[44],"and":[45,71,85,99,132,142,166],"Feature":[46],"Alignment":[47],"(SIFA),":[48],"effectively":[50],"adapt":[51],"segmentation":[53,131,135,160],"network":[54],"an":[56],"unlabeled":[57,163],"target":[58,164],"domain.":[59],"Our":[60],"proposed":[61],"SIFA":[62,154],"conducts":[63],"synergistic":[64],"alignment":[65],"domains":[67,84],"from":[68],"both":[69,111],"feature":[72,106],"perspectives.":[73],"particular,":[75],"simultaneously":[77],"transform":[78],"appearance":[80],"images":[82],"across":[83],"enhance":[86],"domain-invariance":[87],"extracted":[90],"features":[91],"by":[92,173],"leveraging":[93],"adversarial":[94],"learning":[95],"multiple":[97],"aspects":[98],"deeply":[102],"supervised":[103],"mechanism.":[104],"The":[105],"encoder":[107],"is":[108,156],"shared":[109],"between":[110,140],"adaptive":[112],"perspectives":[113],"leverage":[115],"their":[116],"mutual":[117],"benefits":[118],"via":[119],"end-to-end":[120],"learning.":[121],"We":[122],"have":[123],"extensively":[124],"evaluated":[125],"our":[126,153],"method":[127,155],"cardiac":[129],"substructure":[130],"abdominal":[133],"multi-organ":[134],"for":[136],"bidirectional":[137],"cross-modality":[138],"MRI":[141],"CT":[143],"images.":[144],"Experimental":[145],"results":[146],"on":[147,162],"two":[148],"different":[149],"tasks":[150],"demonstrate":[151],"that":[152],"effective":[157],"improving":[159],"images,":[165],"outperforms":[167],"state-of-the-art":[169],"approaches":[172],"large":[175],"margin.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":71},{"year":2024,"cited_by_count":75},{"year":2023,"cited_by_count":87},{"year":2022,"cited_by_count":76},{"year":2021,"cited_by_count":76},{"year":2020,"cited_by_count":22}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}