{"id":"https://openalex.org/W4393285744","doi":"https://doi.org/10.1109/tmi.2024.3382624","title":"Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation","display_name":"Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation","publication_year":2024,"publication_date":"2024-03-28","ids":{"openalex":"https://openalex.org/W4393285744","doi":"https://doi.org/10.1109/tmi.2024.3382624","pmid":"https://pubmed.ncbi.nlm.nih.gov/38546999"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3382624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3382624","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/A5073292890","display_name":"Hengfei Cui","orcid":"https://orcid.org/0000-0001-8625-2521"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengfei Cui","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8625-2521","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723045","display_name":"Yan Li","orcid":"https://orcid.org/0009-0000-1331-9182"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0000-1331-9182","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398561","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0002-4519-7535"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525260","display_name":"Di Xu","orcid":"https://orcid.org/0000-0001-5464-9858"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Xu","raw_affiliation_strings":["Media Innovation Laboratory, Huawei Cloud, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-5464-9858","affiliations":[{"raw_affiliation_string":"Media Innovation Laboratory, Huawei Cloud, Xi’an, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009467631","display_name":"Lian\u2010Ming Wu","orcid":"https://orcid.org/0000-0001-7381-5436"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2800570007","display_name":"Renji Hospital","ror":"https://ror.org/03ypbx660","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800570007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian-Ming Wu","raw_affiliation_strings":["Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7381-5436","affiliations":[{"raw_affiliation_string":"Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I2800570007","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100670074","display_name":"Yong Xia","orcid":"https://orcid.org/0000-0001-9273-2847"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xia","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-9273-2847","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073292890"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":10.7662,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98852371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"43","issue":"8","first_page":"2924","last_page":"2936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9876999855041504,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9861999750137329,"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/segmentation","display_name":"Segmentation","score":0.7267830967903137},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7212169766426086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7100930213928223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6996798515319824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6258310079574585},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5512194037437439},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49988245964050293},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4811893105506897},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4735412001609802},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4121026396751404},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4115039110183716},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.20522820949554443}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7267830967903137},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7212169766426086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7100930213928223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996798515319824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6258310079574585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5512194037437439},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49988245964050293},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4811893105506897},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4735412001609802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4121026396751404},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4115039110183716},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.20522820949554443},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","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":true},{"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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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":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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","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":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":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3382624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3382624","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:38546999","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38546999","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3068676362","display_name":null,"funder_award_id":"62271405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4885539755","display_name":null,"funder_award_id":"2023A1515012847","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G588633300","display_name":null,"funder_award_id":"82171884","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G984875820","display_name":null,"funder_award_id":"62171377","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2025768430","https://openalex.org/W2069502665","https://openalex.org/W2104094955","https://openalex.org/W2113606819","https://openalex.org/W2136120151","https://openalex.org/W2187089797","https://openalex.org/W2478454054","https://openalex.org/W2962793481","https://openalex.org/W2962825119","https://openalex.org/W2963797156","https://openalex.org/W2964288524","https://openalex.org/W2966333895","https://openalex.org/W2979436723","https://openalex.org/W2995848654","https://openalex.org/W2995891971","https://openalex.org/W2998954342","https://openalex.org/W3001192030","https://openalex.org/W3001543328","https://openalex.org/W3002938804","https://openalex.org/W3004327470","https://openalex.org/W3004346631","https://openalex.org/W3014974815","https://openalex.org/W3035406940","https://openalex.org/W3043108808","https://openalex.org/W3049237937","https://openalex.org/W3112701542","https://openalex.org/W3124798580","https://openalex.org/W3136603779","https://openalex.org/W3156639659","https://openalex.org/W3204249496","https://openalex.org/W4221163766","https://openalex.org/W4225869843","https://openalex.org/W4293057377","https://openalex.org/W4310128793","https://openalex.org/W4311415873","https://openalex.org/W4380986859","https://openalex.org/W6679061810","https://openalex.org/W6796863536"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2057775761","https://openalex.org/W2964074194","https://openalex.org/W2914374437"],"abstract_inverted_index":{"Accurate":[0],"myocardial":[1,11,211],"segmentation":[2,34],"is":[3,107,169],"crucial":[4],"in":[5,15,71,83,87],"the":[6,26,66,69,75,112,117,121,128,135,140,145,148,156,172,178,183,219],"diagnosis":[7],"and":[8,103,153,181,197,224],"treatment":[9],"of":[10,49,120,127,147,158],"infarction":[12],"(MI),":[13],"especially":[14],"Late":[16],"Gadolinium":[17],"Enhancement":[18],"(LGE)":[19],"cardiac":[20],"magnetic":[21],"resonance":[22],"(CMR)":[23],"images,":[24,68],"where":[25],"infarcted":[27],"myocardium":[28],"exhibits":[29],"a":[30,84,125,166,201],"greater":[31],"brightness.":[32],"However,":[33],"annotations":[35],"for":[36,190,210],"LGE":[37,67],"images":[38,48],"are":[39],"usually":[40,81],"not":[41],"available.":[42],"Although":[43],"knowledge":[44],"gained":[45],"from":[46],"CMR":[47],"other":[50],"modalities":[51,77],"with":[52],"ample":[53],"annotations,":[54],"such":[55],"as":[56,124],"balanced-Steady":[57],"State":[58],"Free":[59],"Precession":[60],"(bSSFP),":[61],"can":[62],"be":[63,187],"transferred":[64],"to":[65,171,186],"difference":[70],"image":[72],"distribution":[73,130,180],"between":[74,116,139],"two":[76,122,141],"(i.e.,":[78],"domain":[79,167,206],"shift)":[80],"results":[82,230],"significant":[85],"degradation":[86],"model":[88],"performance.":[89],"To":[90],"alleviate":[91],"this,":[92],"an":[93],"end-to-end":[94],"Variational":[95],"autoencoder":[96],"based":[97],"feature":[98,179],"Alignment":[99],"Module":[100],"Combining":[101],"Explicit":[102],"Implicit":[104],"features":[105,185],"(VAMCEI)":[106],"proposed.":[108],"We":[109,214],"first":[110],"re-derive":[111],"Kullback-Leibler":[113],"(KL)":[114],"divergence":[115],"posterior":[118],"distributions":[119],"domains":[123,152],"measure":[126],"global":[129],"distance.":[131],"Second,":[132],"we":[133,199],"calculate":[134],"prototype":[136],"contrastive":[137],"loss":[138],"domains,":[142],"bringing":[143],"closer":[144],"prototypes":[146,157],"same":[149],"category":[150],"across":[151,163],"pushing":[154],"away":[155],"different":[159],"categories":[160],"within":[161],"or":[162],"domains.":[164],"Finally,":[165],"discriminator":[168],"added":[170],"output":[173],"space,":[174],"which":[175],"indirectly":[176],"aligns":[177],"forces":[182],"extracted":[184],"more":[188,202],"favorable":[189],"segmentation.":[191,213],"In":[192],"addition,":[193],"by":[194],"combining":[195],"CycleGAN":[196],"VAMCEI,":[198],"propose":[200],"refined":[203],"multi-stage":[204],"unsupervised":[205],"adaptation":[207],"(UDA)":[208],"framework":[209,234],"structure":[212],"conduct":[215],"extensive":[216],"experiments":[217],"on":[218],"MSCMRSeg":[220],"2019,":[221],"MyoPS":[222],"2020":[223],"MM-WHS":[225],"2017":[226],"datasets.":[227],"The":[228],"experimental":[229],"demonstrate":[231],"that":[232],"our":[233],"achieves":[235],"superior":[236],"performances":[237],"than":[238],"state-of-the-art":[239],"methods.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}