{"id":"https://openalex.org/W4392543878","doi":"https://doi.org/10.1109/jbhi.2024.3373127","title":"Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation","display_name":"Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation","publication_year":2024,"publication_date":"2024-03-07","ids":{"openalex":"https://openalex.org/W4392543878","doi":"https://doi.org/10.1109/jbhi.2024.3373127","pmid":"https://pubmed.ncbi.nlm.nih.gov/38442054"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3373127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3373127","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5024007380","display_name":"Shun Xiang","orcid":"https://orcid.org/0009-0007-2767-6974"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Xiang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology (HeBUT), Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0007-2767-6974","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology (HeBUT), Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114514467","display_name":"Nana Li","orcid":"https://orcid.org/0009-0003-1703-1655"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nana Li","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology (HeBUT), Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0003-1703-1655","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology (HeBUT), Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084624716","display_name":"Yuanquan Wang","orcid":"https://orcid.org/0000-0002-9232-5392"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanquan Wang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology (HeBUT), Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9232-5392","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology (HeBUT), Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046902140","display_name":"Shoujun Zhou","orcid":"https://orcid.org/0000-0003-3232-6796"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoujun Zhou","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3232-6796","affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Wei","orcid":"https://orcid.org/0009-0006-7604-9566"},"institutions":[{"id":"https://openalex.org/I4210088587","display_name":"Tianjin Third Central Hospital","ror":"https://ror.org/00911j719","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088587"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wei","raw_affiliation_strings":["The Third Central Hospital of Tianjin, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0006-7604-9566","affiliations":[{"raw_affiliation_string":"The Third Central Hospital of Tianjin, Tianjin, China","institution_ids":["https://openalex.org/I4210088587","https://openalex.org/I5740404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386630","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0002-5184-3230"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["Department of Biomedical Engineering, and Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-5184-3230","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, and Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4847,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93047047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"6","first_page":"3545","last_page":"3556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9900000095367432,"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":0.9900000095367432,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9764000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8222808837890625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078160643577576},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7061451077461243},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5351141095161438},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4905983507633209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46466219425201416},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4400936961174011},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42378681898117065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3802434802055359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.362562894821167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222808837890625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078160643577576},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7061451077461243},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5351141095161438},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4905983507633209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46466219425201416},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4400936961174011},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42378681898117065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3802434802055359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.362562894821167}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep 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":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":"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":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","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":"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":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":"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":"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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3373127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3373127","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38442054","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38442054","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1481757575","display_name":null,"funder_award_id":"2018YFA0704102","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1770690735","display_name":null,"funder_award_id":"81827805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3199023588","display_name":null,"funder_award_id":"61976241","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2165762489","https://openalex.org/W2526653212","https://openalex.org/W2748189346","https://openalex.org/W2749604329","https://openalex.org/W2752498449","https://openalex.org/W2771590529","https://openalex.org/W2898640311","https://openalex.org/W2903819949","https://openalex.org/W2904246096","https://openalex.org/W2905588489","https://openalex.org/W2913736247","https://openalex.org/W2936801852","https://openalex.org/W2962914239","https://openalex.org/W2979352690","https://openalex.org/W2979907638","https://openalex.org/W3009014237","https://openalex.org/W3029566036","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3090844657","https://openalex.org/W3092490063","https://openalex.org/W3093394156","https://openalex.org/W3097499499","https://openalex.org/W3099697817","https://openalex.org/W3104390926","https://openalex.org/W3163034495","https://openalex.org/W3171581326","https://openalex.org/W3174699664","https://openalex.org/W3201574729","https://openalex.org/W3202799979","https://openalex.org/W3203046931","https://openalex.org/W3204823505","https://openalex.org/W4296901926","https://openalex.org/W4307297689","https://openalex.org/W4311777178","https://openalex.org/W4312377253","https://openalex.org/W4327972770","https://openalex.org/W4372050245","https://openalex.org/W4372050335","https://openalex.org/W4386075941","https://openalex.org/W6757592117","https://openalex.org/W6773005947","https://openalex.org/W6776428618","https://openalex.org/W6784094891","https://openalex.org/W6810755270"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"and":[1,33,84,126,176,200],"automatic":[2],"delineation":[3,43],"of":[4,14,27,47,82,104,198],"the":[5,70,76,80,102,128,150,178],"left":[6],"atrium":[7],"(LA)":[8],"is":[9,31,49,97,140,153,169],"crucial":[10],"for":[11,72],"computer-aided":[12],"diagnosis":[13],"atrial":[15],"fibrillation-related":[16],"diseases.":[17],"However,":[18],"effective":[19],"model":[20],"training":[21],"typically":[22],"requires":[23],"a":[24,40,61,93],"large":[25],"amount":[26],"labeled":[28],"data,":[29],"which":[30],"time-consuming":[32],"labor-intensive.":[34],"In":[35],"this":[36],"study,":[37],"we":[38],"propose":[39],"novel":[41],"LA":[42,48,105],"framework.":[44],"The":[45,109,162],"region":[46],"first":[50],"detected":[51,78],"using":[52,65],"an":[53],"actor-critic":[54],"based":[55,154],"deep":[56],"reinforcement":[57],"learning":[58],"method":[59],"with":[60,115,142],"shape-adaptive":[62],"detection":[63],"strategy":[64,191],"only":[66],"box-level":[67],"annotations,":[68],"bypassing":[69],"need":[71],"voxel-level":[73],"labeling.":[74],"With":[75],"effectively":[77],"LA,":[79],"impacts":[81],"class-imbalance":[83],"interference":[85],"from":[86],"surrounding":[87],"tissues":[88],"are":[89],"significantly":[90],"reduced.":[91],"Subsequently,":[92],"semi-supervised":[94,135],"segmentation":[95],"scheme":[96,110],"coined":[98],"to":[99,144,158,171],"precisely":[100],"delineate":[101],"contour":[103],"in":[106,132,196],"3D":[107],"volume.":[108],"integrates":[111],"two":[112,167,184],"independent":[113],"networks":[114],"distinct":[116],"structures,":[117],"enabling":[118],"implicit":[119],"consistency":[120],"regularization,":[121],"capturing":[122],"more":[123],"spatial":[124,147],"features,":[125,148],"avoiding":[127],"error":[129],"accumulation":[130],"present":[131],"current":[133],"mainstream":[134],"frameworks.":[136],"Specifically,":[137],"one":[138],"network":[139,152],"combined":[141],"Transformer":[143],"capture":[145,159],"latent":[146],"while":[149],"other":[151],"on":[155,183],"pure":[156],"CNN":[157],"local":[160],"features.":[161],"difference":[163],"prediction":[164],"between":[165],"these":[166],"sub-networks":[168],"exploited":[170],"mutually":[172],"provide":[173],"high-quality":[174],"pseudo-labels":[175],"correct":[177],"cognitive":[179],"bias.":[180],"Experimental":[181],"results":[182],"public":[185],"datasets":[186],"demonstrate":[187],"that":[188],"our":[189],"proposed":[190],"outperforms":[192],"several":[193],"state-of-the-art":[194],"methods":[195],"terms":[197],"accuracy":[199],"clinical":[201],"convenience.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
