{"id":"https://openalex.org/W4389577259","doi":"https://doi.org/10.1109/embc40787.2023.10340863","title":"Synergistic Label-Stability Learning for Semi-supervised Left Atrium Segmentation","display_name":"Synergistic Label-Stability Learning for Semi-supervised Left Atrium Segmentation","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389577259","doi":"https://doi.org/10.1109/embc40787.2023.10340863","pmid":"https://pubmed.ncbi.nlm.nih.gov/38083192"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340863","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-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/A5090627414","display_name":"Zhe Xu","orcid":"https://orcid.org/0000-0002-1950-0959"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhe Xu","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Biomedical Engineering,Hong Kong SAR,China","Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Biomedical Engineering,Hong Kong SAR,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066840655","display_name":"Raymond Kai\u2010Yu Tong","orcid":"https://orcid.org/0000-0003-4375-653X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Raymond Kai-Yu Tong","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Biomedical Engineering,Hong Kong SAR,China","Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Biomedical Engineering,Hong Kong SAR,China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19435797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9948999881744385,"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":0.7419676780700684},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7229440212249756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.70196932554245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5606933832168579},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5265032649040222},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4860382676124573},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.46218669414520264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46017661690711975},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.43573033809661865},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4180845022201538},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41141682863235474},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07753407955169678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419676780700684},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7229440212249756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70196932554245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5606933832168579},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5265032649040222},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4860382676124573},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.46218669414520264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46017661690711975},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43573033809661865},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4180845022201538},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41141682863235474},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07753407955169678}],"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":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":null,"qualifier_name":null,"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":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340863","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38083192","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38083192","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2293363371","https://openalex.org/W2601450892","https://openalex.org/W2751665805","https://openalex.org/W2918552801","https://openalex.org/W2962914239","https://openalex.org/W2963073217","https://openalex.org/W2966415767","https://openalex.org/W2977942577","https://openalex.org/W2979907638","https://openalex.org/W2984353870","https://openalex.org/W3035680157","https://openalex.org/W3083779147","https://openalex.org/W3093394156","https://openalex.org/W3171581326","https://openalex.org/W3203148062","https://openalex.org/W3203434372","https://openalex.org/W3203488660","https://openalex.org/W4224933377","https://openalex.org/W4282915608","https://openalex.org/W6681588610","https://openalex.org/W6735236233"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Recent":[0],"semi-supervised":[1,81,193],"learning":[2,53,77,97,104,117,146],"approaches":[3],"appealingly":[4],"advance":[5],"medical":[6,82,194],"image":[7,83,195],"segmentation":[8,177,196,210],"for":[9,16,80,212],"their":[10],"effectiveness":[11],"in":[12,58,68],"alleviating":[13],"the":[14,33,45,61,91,95,100,113,129,143,150,155,168,187],"need":[15],"a":[17,73,205],"large":[18],"amount":[19],"of":[20,25,32,108,121,131],"expert-demanding":[21,218],"annotations.":[22],"However,":[23],"most":[24],"them":[26],"have":[27],"two":[28],"limitations:":[29],"(i)":[30],"neglect":[31],"intra-class":[34,132],"variation":[35],"caused":[36],"by":[37,60,167],"different":[38],"patients":[39],"and":[40,112,124,190],"scanning":[41],"protocols,":[42],"which":[43],"makes":[44],"pixel-level":[46],"label":[47,96,103,116,139],"propagation":[48],"difficult;":[49],"(ii)":[50],"non-selective":[51],"stability":[52,145,152],"(a.k.a.,":[54],"consistency":[55],"regularization),":[56],"resulting":[57],"distraction":[59],"redundant":[62],"easy":[63,110,170],"regions.":[64,171],"To":[65],"address":[66],"these,":[67],"this":[69],"work,":[70],"we":[71],"propose":[72],"novel":[74],"synergistic":[75],"label-stability":[76],"(SLSL)":[78],"framework":[79],"segmentation.":[84],"Specifically,":[85],"our":[86,182],"method":[87,183,201],"is":[88],"built":[89],"upon":[90],"teacher-student":[92],"framework.":[93],"Then,":[94],"process":[98],"includes":[99],"typical":[101],"pseudo":[102],"that":[105,118,181],"reinforces":[106],"confirmation":[107],"well-classified":[109],"regions":[111],"cyclic":[114],"real":[115,122],"takes":[119],"advantage":[120],"labels":[123],"class":[125],"prototypes":[126],"to":[127,137,148],"regularize":[128,149],"distribution":[130],"features":[133],"from":[134,178],"unlabeled":[135,188],"data":[136,189],"facilitate":[138],"propagation.":[140],"In":[141],"addition,":[142],"difficulty-selective":[144],"aims":[147],"perturbed":[151],"only":[153],"at":[154],"high-entropy":[156],"(can":[157],"be":[158],"regarded":[159],"as":[160],"difficult)":[161],"regions,":[162],"rather":[163],"than":[164],"being":[165],"distracted":[166],"less-informative":[169],"Extensive":[172],"experiments":[173],"on":[174],"left":[175,208],"atrium":[176,209],"MRI":[179],"show":[180],"can":[184,202],"effectively":[185],"exploit":[186],"outperform":[191],"other":[192],"methods.Clinical":[197],"relevance-":[198],"The":[199],"proposed":[200],"help":[203],"develop":[204],"high-performance":[206],"automatic":[207],"model":[211],"treating":[213],"atrial":[214],"fibrillation":[215],"under":[216],"limited":[217],"annotation":[219],"budgets.":[220]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}