{"id":"https://openalex.org/W4375868787","doi":"https://doi.org/10.1109/icassp49357.2023.10094633","title":"LDTSF: A Label-Decoupling Teacher-Student Framework for Semi-Supervised Echocardiography Segmentation","display_name":"LDTSF: A Label-Decoupling Teacher-Student Framework for Semi-Supervised Echocardiography Segmentation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375868787","doi":"https://doi.org/10.1109/icassp49357.2023.10094633"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5100662068","display_name":"Jiapeng Zhang","orcid":"https://orcid.org/0000-0003-0680-781X"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Zhang","raw_affiliation_strings":["University of Shanghai for Science and Technology,Department of Control Science and Engineering","Department of Control Science and Engineering, University of Shanghai for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Department of Control Science and Engineering","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"Department of Control Science and Engineering, University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029032691","display_name":"Yongxiong Wang","orcid":"https://orcid.org/0000-0002-3242-0857"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiong Wang","raw_affiliation_strings":["University of Shanghai for Science and Technology,Department of Control Science and Engineering","Department of Control Science and Engineering, University of Shanghai for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Department of Control Science and Engineering","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"Department of Control Science and Engineering, University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000879177","display_name":"Zhiqun Pan","orcid":"https://orcid.org/0000-0003-3360-9499"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqun Pan","raw_affiliation_strings":["University of Shanghai for Science and Technology,Department of Control Science and Engineering","Department of Control Science and Engineering, University of Shanghai for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Department of Control Science and Engineering","institution_ids":["https://openalex.org/I148128674"]},{"raw_affiliation_string":"Department of Control Science and Engineering, University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028449038","display_name":"Zhenhui Tang","orcid":"https://orcid.org/0000-0002-8947-3431"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhui Tang","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation","Department of Automation, Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398639","display_name":"Lijun Chen","orcid":"https://orcid.org/0000-0003-4691-3780"},"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/I4210092101","display_name":"Shanghai Children's Medical Center","ror":"https://ror.org/00cd9s024","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Chen","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Children&#x2019;s Medical Center, School of Medicine,Department of Pediatric Cardiology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Children&#x2019;s Medical Center, School of Medicine,Department of Pediatric Cardiology","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210092101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339166","display_name":"Jinlong Liu","orcid":"https://orcid.org/0000-0001-9683-9043"},"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/I4210092101","display_name":"Shanghai Children's Medical Center","ror":"https://ror.org/00cd9s024","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210092101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Liu","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Children&#x2019;s Medical Center, School of Medicine,Department of Cardiothoracic Surgery"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Children&#x2019;s Medical Center, School of Medicine,Department of Cardiothoracic Surgery","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210092101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9814000129699707,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9668999910354614,"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/computer-science","display_name":"Computer science","score":0.7952086925506592},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7575362920761108},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7233062386512756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.705390989780426},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5245033502578735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4740706980228424},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.45573553442955017},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.45013582706451416},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44984930753707886},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44538819789886475},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4412546753883362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41575270891189575},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.36106353998184204},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19977229833602905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952086925506592},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7575362920761108},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7233062386512756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.705390989780426},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5245033502578735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4740706980228424},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.45573553442955017},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.45013582706451416},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44984930753707886},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44538819789886475},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4412546753883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41575270891189575},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.36106353998184204},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19977229833602905},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2118291118","https://openalex.org/W2750925197","https://openalex.org/W2771027346","https://openalex.org/W2889158831","https://openalex.org/W2915232829","https://openalex.org/W2953070460","https://openalex.org/W2963073217","https://openalex.org/W2979792663","https://openalex.org/W2979907638","https://openalex.org/W3035160371","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3097499499","https://openalex.org/W3120798330","https://openalex.org/W4287225701","https://openalex.org/W4287755086","https://openalex.org/W4297426812","https://openalex.org/W6733814495","https://openalex.org/W6779992872"],"related_works":["https://openalex.org/W4312414840","https://openalex.org/W2794908468","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W101422005","https://openalex.org/W192740413","https://openalex.org/W3004135598","https://openalex.org/W2952937263","https://openalex.org/W2131153761"],"abstract_inverted_index":{"The":[0,150],"accurate":[1],"segmentation":[2,50],"of":[3],"the":[4,24,41,86,111,115,120],"right":[5],"and":[6,60,108,135],"left":[7],"ventricles":[8],"with":[9,119],"limited":[10],"labeled":[11],"data":[12,19],"is":[13],"a":[14,31,79,100,125,136],"challenging":[15],"task":[16],"in":[17,82],"echocardiographic":[18,133],"analysis.":[20],"To":[21],"fully":[22],"leverage":[23],"easily":[25],"accessible":[26],"unlabeled":[27,93],"data,":[28],"we":[29,97],"propose":[30],"label-decoupling":[32],"teacher-student":[33],"framework":[34],"(LDTSF)":[35],"based":[36,103],"on":[37,66,104,129],"semi-supervised":[38,105,147],"learning.":[39],"Specifically,":[40],"decoupled":[42],"deep":[43],"network":[44],"within":[45],"LDTSF":[46],"jointly":[47],"predicts":[48],"pixel-wise":[49],"maps,":[51,56],"level":[52],"set-based":[53],"edge":[54,67],"regression":[55],"target":[57,61],"skeleton":[58],"maps":[59,63],"detail":[62],"to":[64,74,78,84,123],"focus":[65],"pixels.":[68],"Several":[69],"micro-task-transformable":[70],"layers":[71],"are":[72],"used":[73],"map":[75],"multi-task":[76],"representations":[77],"unified":[80],"space":[81],"order":[83],"supervise":[85],"consistency":[87],"among":[88],"multiple":[89],"tasks":[90],"using":[91],"massive":[92],"data.":[94],"In":[95],"addition,":[96],"first":[98],"train":[99,124],"teacher":[101,116],"model":[102,117],"learning":[106,148],"strategy,":[107],"then":[109],"use":[110],"pseudo-labels":[112],"generated":[113],"by":[114],"together":[118],"original":[121],"labels":[122],"student":[126],"model.":[127],"Experiments":[128],"our":[130,143],"self-collected":[131],"3D":[132],"dataset":[134,140],"publicly":[137],"available":[138,154],"MRI":[139],"show":[141],"that":[142],"method":[144],"outperforms":[145],"state-of-the-art":[146],"methods.":[149],"code":[151],"will":[152],"be":[153],"at:":[155],"https://github.com/SwanKnightZJP/LDTSF.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
