{"id":"https://openalex.org/W4401722210","doi":"https://doi.org/10.1109/tmi.2024.3447071","title":"Moment-Consistent Contrastive CycleGAN for Cross-Domain Pancreatic Image Segmentation","display_name":"Moment-Consistent Contrastive CycleGAN for Cross-Domain Pancreatic Image Segmentation","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4401722210","doi":"https://doi.org/10.1109/tmi.2024.3447071","pmid":"https://pubmed.ncbi.nlm.nih.gov/39167524"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3447071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3447071","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/A5046023143","display_name":"Zhongyu Chen","orcid":"https://orcid.org/0000-0002-9429-6759"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongyu Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031808825","display_name":"Yun Bian","orcid":"https://orcid.org/0000-0002-4863-4956"},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]},{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Bian","raw_affiliation_strings":["Department of Radiology, Changhai Hospital, Navy Military Medical University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Changhai Hospital, Navy Military Medical University, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113125604","display_name":"Erwei Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erwei Shen","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068801623","display_name":"Ligang Fan","orcid":"https://orcid.org/0000-0003-4889-9767"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ligang Fan","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058024483","display_name":"Weifang Zhu","orcid":"https://orcid.org/0000-0001-9540-4101"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifang Zhu","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048091475","display_name":"Fei Shi","orcid":"https://orcid.org/0000-0002-8878-6655"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shi","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026197259","display_name":"Chengwei Shao","orcid":"https://orcid.org/0000-0003-1640-9663"},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]},{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Shao","raw_affiliation_strings":["Department of Radiology, Changhai Hospital, Navy Military Medical University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Changhai Hospital, Navy Military Medical University, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079807652","display_name":"Xinjian Chen","orcid":"https://orcid.org/0000-0002-0871-293X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031688232","display_name":"Dehui Xiang","orcid":"https://orcid.org/0000-0001-7873-9778"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehui Xiang","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5046023143"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":2.7517,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91487862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"44","issue":"1","first_page":"422","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9934999942779541,"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":0.9934999942779541,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9890000224113464,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5509346127510071},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5443867444992065},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5298129320144653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.523027777671814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5070199966430664},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5070149898529053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4458838999271393},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38276243209838867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3306509852409363},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3147336542606354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22458496689796448},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08563032746315002}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5509346127510071},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5443867444992065},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5298129320144653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.523027777671814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5070199966430664},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5070149898529053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4458838999271393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38276243209838867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3306509852409363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3147336542606354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22458496689796448},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08563032746315002},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010179","descriptor_name":"Pancreas","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010190","descriptor_name":"Pancreatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D010190","descriptor_name":"Pancreatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010190","descriptor_name":"Pancreatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010190","descriptor_name":"Pancreatic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3447071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3447071","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:39167524","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39167524","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":[{"score":0.5600000023841858,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1095643531","display_name":null,"funder_award_id":"2018YFA0701700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1894239239","display_name":null,"funder_award_id":"62371328, 61971298, 61771326, 62271337, U20A20170,","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G98273552","display_name":null,"funder_award_id":"82171915, 82171930, 82271972, 82371955","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2030155771","https://openalex.org/W2094286293","https://openalex.org/W2159498975","https://openalex.org/W2562469482","https://openalex.org/W2592929672","https://openalex.org/W2593768305","https://openalex.org/W2594179300","https://openalex.org/W2771252144","https://openalex.org/W2886667086","https://openalex.org/W2890435066","https://openalex.org/W2891179298","https://openalex.org/W2896359486","https://openalex.org/W2932414082","https://openalex.org/W2959183777","https://openalex.org/W2962793481","https://openalex.org/W2962837118","https://openalex.org/W2963073217","https://openalex.org/W2963073614","https://openalex.org/W2963105382","https://openalex.org/W2963107255","https://openalex.org/W2963481481","https://openalex.org/W2963768110","https://openalex.org/W2963797156","https://openalex.org/W2963999992","https://openalex.org/W2964317695","https://openalex.org/W2981429991","https://openalex.org/W2998115938","https://openalex.org/W2999417355","https://openalex.org/W3006040295","https://openalex.org/W3007227736","https://openalex.org/W3034441884","https://openalex.org/W3049237937","https://openalex.org/W3096831136","https://openalex.org/W3128821554","https://openalex.org/W3156639659","https://openalex.org/W3195026442","https://openalex.org/W4225869843","https://openalex.org/W4286220311","https://openalex.org/W4308554984","https://openalex.org/W4313172482","https://openalex.org/W4313443817","https://openalex.org/W4386710192","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W6718140377","https://openalex.org/W6746282794","https://openalex.org/W6757371691","https://openalex.org/W6839656003"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W1522196789","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"CT":[0,20,46],"and":[1,21,31,47,55,133,144,176,197,200,227],"MR":[2,22,48],"are":[3,65,167],"currently":[4],"the":[5,17,29,90,120,165,185,194,212,225,230,238],"most":[6],"common":[7],"imaging":[8,72],"techniques":[9],"for":[10],"pancreatic":[11,34,195],"cancer":[12],"diagnosis.":[13],"Accurate":[14],"segmentation":[15,38,63,76,99],"of":[16,33,44,122,149,164,193,229,240],"pancreas":[18,98,166],"in":[19,28,88,118,173],"images":[23,132,151],"can":[24,77],"provide":[25],"significant":[26],"help":[27],"diagnosis":[30],"treatment":[32],"cancer.":[35],"Traditional":[36],"supervised":[37],"methods":[39],"require":[40],"a":[41,96,114,141,177,218],"large":[42],"number":[43],"labeled":[45,79],"training":[49],"data,":[50],"which":[51,119],"is":[52,101,113,125,180,208],"usually":[53],"time-consuming":[54],"laborious.":[56],"Meanwhile,":[57],"due":[58],"to":[59,67,83,127,169,183,190,210,217,223],"domain":[60,81,245],"shift,":[61],"traditional":[62],"networks":[64],"difficult":[66],"be":[68],"deployed":[69],"on":[70,104],"different":[71],"modality":[73],"datasets.":[74],"Cross-domain":[75],"utilize":[78],"source":[80],"data":[82],"assist":[84],"unlabeled":[85],"target":[86],"domains":[87],"solving":[89],"above":[91],"problems.":[92],"In":[93],"this":[94],"paper,":[95],"cross-domain":[97],"algorithm":[100],"proposed":[102,168,182,209],"based":[103],"Moment-Consistent":[105],"Contrastive":[106],"Cycle":[107],"Generative":[108],"Adversarial":[109],"Networks":[110],"(MC-CCycleGAN).":[111],"MC-CCycleGAN":[112],"style":[115,134,153,158,202],"transfer":[116,135,154,211],"network,":[117],"encoder":[121],"its":[123,171],"generator":[124],"used":[126],"extract":[128,146],"features":[129,148],"from":[130,214],"real":[131],"images,":[136],"constrain":[137,184],"feature":[138],"extraction":[139],"through":[140],"contrastive":[142,178],"loss,":[143],"fully":[145],"structural":[147],"input":[150],"during":[152],"while":[155],"eliminate":[156],"redundant":[157],"features.":[159],"The":[160,233],"multi-order":[161],"central":[162],"moments":[163],"describe":[170],"anatomy":[172],"high":[174],"dimensions":[175],"loss":[179],"also":[181],"moment":[186],"consistency,":[187],"so":[188,221],"as":[189,222],"maintain":[191],"consistency":[192],"structure":[196],"shape":[198],"before":[199],"after":[201],"transfer.":[203],"Multi-teacher":[204],"knowledge":[205,213],"distillation":[206],"framework":[207,242],"multiple":[215],"teachers":[216],"single":[219],"student,":[220],"improve":[224],"robustness":[226],"performance":[228],"student":[231],"network.":[232],"experimental":[234],"results":[235],"have":[236],"demonstrated":[237],"superiority":[239],"our":[241],"over":[243],"state-of-the-art":[244],"adaptation":[246],"methods.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
