{"id":"https://openalex.org/W2989821457","doi":"https://doi.org/10.1109/access.2019.2956210","title":"Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI","display_name":"Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2989821457","doi":"https://doi.org/10.1109/access.2019.2956210","mag":"2989821457"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2956210","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2956210","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08915846.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08915846.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100326344","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0002-1579-2333"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1579-2333","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092169928","display_name":"Haoran Zhang","orcid":"https://orcid.org/0000-0003-4981-7065"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Zhang","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4981-7065","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068038451","display_name":"Wenjun Tan","orcid":"https://orcid.org/0000-0002-3840-9528"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Tan","raw_affiliation_strings":["Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-3840-9528","affiliations":[{"raw_affiliation_string":"Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003777802","display_name":"Shouliang Qi","orcid":"https://orcid.org/0000-0003-0977-1939"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouliang Qi","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-0977-1939","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091579982","display_name":"Lisheng Xu","orcid":"https://orcid.org/0000-0001-8360-3605"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisheng Xu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China","Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-8360-3605","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021827481","display_name":"Yudong Yao","orcid":"https://orcid.org/0000-0003-3868-0593"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yudong Yao","raw_affiliation_strings":["Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, USA"],"raw_orcid":"https://orcid.org/0000-0003-3868-0593","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374757","display_name":"Wei Qian","orcid":"https://orcid.org/0000-0002-9563-721X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, College of Engineering, The University of Texas at El Paso, El Paso, USA"],"raw_orcid":"https://orcid.org/0000-0002-9563-721X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, College of Engineering, The University of Texas at El Paso, El Paso, USA","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.556,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89753846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"172305","last_page":"172320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9940999746322632,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9940999746322632,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9882000088691711,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9764999747276306,"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":0.7745846509933472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507239580154419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7001100778579712},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5278216004371643},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5073868632316589},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5045262575149536},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4916148781776428},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4546634554862976},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39408165216445923}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7745846509933472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507239580154419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7001100778579712},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5278216004371643},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5073868632316589},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5045262575149536},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4916148781776428},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4546634554862976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39408165216445923},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2956210","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2956210","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08915846.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1b1e8f78e1a24059bd17a3ba015977f7","is_oa":true,"landing_page_url":"https://doaj.org/article/1b1e8f78e1a24059bd17a3ba015977f7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 172305-172320 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2956210","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2956210","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08915846.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1303234820","display_name":"\u57fa\u4e8e\u5f39\u6027\u7ba1\u975e\u7ebf\u6027\u6a21\u578b\u76f2\u8fa8\u8bc6\u7684\u4e2d\u5fc3\u52a8\u8109\u6ce2\u65e0\u521b\u52a8\u6001\u91cd\u5efa\u7814\u7a76","funder_award_id":"61374015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3068484546","display_name":null,"funder_award_id":"N180719020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G316255810","display_name":null,"funder_award_id":"N161904002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4506064492","display_name":null,"funder_award_id":"61773110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G596841954","display_name":null,"funder_award_id":"N172008008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6105473483","display_name":null,"funder_award_id":"20170520180","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G6660739750","display_name":null,"funder_award_id":"N171904009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989821457.pdf","grobid_xml":"https://content.openalex.org/works/W2989821457.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W804074387","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1665214252","https://openalex.org/W1817071290","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1966192780","https://openalex.org/W1987512289","https://openalex.org/W1987869189","https://openalex.org/W2018642513","https://openalex.org/W2032051785","https://openalex.org/W2045784023","https://openalex.org/W2049554108","https://openalex.org/W2052406308","https://openalex.org/W2057441779","https://openalex.org/W2059240422","https://openalex.org/W2076426701","https://openalex.org/W2083383847","https://openalex.org/W2109178950","https://openalex.org/W2125389028","https://openalex.org/W2128361249","https://openalex.org/W2146308017","https://openalex.org/W2155389906","https://openalex.org/W2160754664","https://openalex.org/W2258978862","https://openalex.org/W2274227799","https://openalex.org/W2337438617","https://openalex.org/W2463818697","https://openalex.org/W2464708700","https://openalex.org/W2554423077","https://openalex.org/W2560023338","https://openalex.org/W2598666589","https://openalex.org/W2604790786","https://openalex.org/W2735429996","https://openalex.org/W2744730369","https://openalex.org/W2748496041","https://openalex.org/W2756976920","https://openalex.org/W2767801289","https://openalex.org/W2788374068","https://openalex.org/W2789621124","https://openalex.org/W2789703839","https://openalex.org/W2791453970","https://openalex.org/W2792115253","https://openalex.org/W2795844877","https://openalex.org/W2803176574","https://openalex.org/W2804047627","https://openalex.org/W2809951500","https://openalex.org/W2892120196","https://openalex.org/W2911583416","https://openalex.org/W2913292358","https://openalex.org/W2914410118","https://openalex.org/W2917055433","https://openalex.org/W2944707525","https://openalex.org/W2949117887","https://openalex.org/W2951123255","https://openalex.org/W2955058313","https://openalex.org/W2962885625","https://openalex.org/W2962914239","https://openalex.org/W2963395421","https://openalex.org/W2963840672","https://openalex.org/W2964043069","https://openalex.org/W2964212292","https://openalex.org/W2995848654","https://openalex.org/W4320013936","https://openalex.org/W6622785560","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637242042","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6696085341","https://openalex.org/W6703635231","https://openalex.org/W6719642423","https://openalex.org/W6729856380","https://openalex.org/W6736302784","https://openalex.org/W6741232710","https://openalex.org/W6742126214","https://openalex.org/W6744338214","https://openalex.org/W6745521783","https://openalex.org/W6748870042","https://openalex.org/W6748909301","https://openalex.org/W6749330325","https://openalex.org/W6754479841","https://openalex.org/W6758627048","https://openalex.org/W6766084031"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W1997160662","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,40,62,65,88,108],"of":[2,26,32,68,107,161,181],"bi-ventricle":[3,39,73,186],"from":[4,91],"cardiac":[5,15],"magnetic":[6],"resonance":[7],"images":[8],"(MRI)":[9],"is":[10,41],"a":[11,42,125],"critical":[12],"step":[13],"in":[14,119,152],"function":[16],"analysis":[17],"and":[18,29,37,72,100,134,167,173,179],"disease":[19],"diagnosis.":[20],"Due":[21],"to":[22,56,86,98],"the":[23,27,30,58,105,120,132,145,158,174,177,182],"morphological":[24],"diversification":[25],"heart":[28],"factors":[31],"MRI":[33],"itself,":[34],"fully":[35],"automated":[36],"concurrent":[38],"well-known":[43],"challenge.":[44],"In":[45,75],"this":[46,162],"paper,":[47],"we":[48,78,123,156],"propose":[49],"cascaded":[50],"conditional":[51],"generative":[52],"adversarial":[53,80],"networks":[54],"(C-cGANs)":[55],"divide":[57],"problem":[59],"into":[60],"two":[61],"subtasks:":[63],"binary":[64],"for":[66,185],"region":[67],"interest":[69],"(ROI)":[70],"extraction":[71],"segmentation.":[74,187],"both":[76],"subtasks,":[77],"adopt":[79],"training":[81],"that":[82,144],"makes":[83],"discriminator":[84],"network":[85,93],"discriminate":[87],"maps":[89],"either":[90],"generator":[92,121],"or":[94],"ground-truth":[95],"which":[96],"aims":[97],"detect":[99],"correct":[101],"pixel-wise":[102],"inconsistency":[103],"between":[104,131],"sources":[106],"maps.":[109],"For":[110],"capturing":[111],"more":[112],"spatial":[113],"information":[114],"with":[115],"multi-scale":[116,126],"semantic":[117],"features,":[118],"network,":[122],"insert":[124],"attention":[127],"fusion":[128],"(MSAF)":[129],"module":[130],"encoder":[133],"decoder":[135],"paths.":[136],"The":[137],"experiment":[138],"on":[139,164],"ACDC":[140],"2017":[141],"dataset":[142],"shows":[143],"proposed":[146,183],"model":[147,163],"outperforms":[148],"other":[149],"state-of-the-art":[150],"methods":[151],"most":[153],"metrics.":[154],"Moreover,":[155],"validate":[157],"generalization":[159],"capability":[160],"MS-CMRSeg":[165],"2019":[166],"RVSC":[168],"2012":[169],"datasets":[170],"without":[171],"fine-tuning,":[172],"results":[175],"demonstrate":[176],"effectiveness":[178],"robustness":[180],"method":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}