{"id":"https://openalex.org/W4408324150","doi":"https://doi.org/10.1109/tim.2025.3550246","title":"Semi-Supervised Learning With Kolmogorov\u2013Arnold Network for MRI Cardiac Segmentation","display_name":"Semi-Supervised Learning With Kolmogorov\u2013Arnold Network for MRI Cardiac Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408324150","doi":"https://doi.org/10.1109/tim.2025.3550246"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3550246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3550246","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","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/A5065797055","display_name":"Congsheng Li","orcid":"https://orcid.org/0000-0002-7658-1943"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congsheng Li","raw_affiliation_strings":["China Telecommunication Technology Laboratory, China Academy of Information and Communications Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7658-1943","affiliations":[{"raw_affiliation_string":"China Telecommunication Technology Laboratory, China Academy of Information and Communications Technology, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4210130112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416688","display_name":"Xu Xu","orcid":"https://orcid.org/0000-0002-3934-9096"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Xu","raw_affiliation_strings":["China Telecommunication Technology Laboratory, China Academy of Information and Communications Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3934-9096","affiliations":[{"raw_affiliation_string":"China Telecommunication Technology Laboratory, China Academy of Information and Communications Technology, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4210130112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5991,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65329442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9433000087738037,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.573782205581665},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5003888607025146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45258766412734985},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42341962456703186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3554058074951172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313709497451782},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3236173987388611}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.573782205581665},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5003888607025146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45258766412734985},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42341962456703186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3554058074951172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313709497451782},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3236173987388611}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3550246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3550246","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5910617217","display_name":null,"funder_award_id":"2022YFC2408000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8311435817","display_name":null,"funder_award_id":"62171458","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2109907633","https://openalex.org/W2137983211","https://openalex.org/W2165023525","https://openalex.org/W2291593693","https://openalex.org/W2752782242","https://openalex.org/W2804047627","https://openalex.org/W2915232829","https://openalex.org/W2954299637","https://openalex.org/W2957558653","https://openalex.org/W2963481481","https://openalex.org/W3036708415","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3096627121","https://openalex.org/W3127751679","https://openalex.org/W3171581326","https://openalex.org/W3172498734","https://openalex.org/W3203488660","https://openalex.org/W3212933375","https://openalex.org/W4205182665","https://openalex.org/W4253576951","https://openalex.org/W4283714330","https://openalex.org/W4289754920","https://openalex.org/W4296121024","https://openalex.org/W4306317252","https://openalex.org/W4319300502","https://openalex.org/W4321438556","https://openalex.org/W4323644414","https://openalex.org/W4362560246","https://openalex.org/W4377988881","https://openalex.org/W4378193947","https://openalex.org/W4386075981","https://openalex.org/W4387211283","https://openalex.org/W4387917726","https://openalex.org/W4388623450","https://openalex.org/W4390284935","https://openalex.org/W4391661681","https://openalex.org/W4391854873","https://openalex.org/W4396978887","https://openalex.org/W4399563301","https://openalex.org/W4403022263","https://openalex.org/W4404743077","https://openalex.org/W6762913911","https://openalex.org/W6770578729","https://openalex.org/W6773005947","https://openalex.org/W6779997284","https://openalex.org/W6795435739","https://openalex.org/W6797399245","https://openalex.org/W6801589178","https://openalex.org/W6802864417","https://openalex.org/W6802946413","https://openalex.org/W6846091866","https://openalex.org/W6850690241","https://openalex.org/W6863668879","https://openalex.org/W6867176674","https://openalex.org/W6868377677","https://openalex.org/W6869824142"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4379231730","https://openalex.org/W4380075502"],"abstract_inverted_index":{"MRI":[0,49,134],"cardiac":[1,50,117,135],"segmentation":[2],"plays":[3],"a":[4,67,85],"vital":[5],"role":[6],"for":[7,22,48,102],"the":[8,53,71,91,96],"diagnosis":[9,118],"of":[10],"cardiovascular":[11],"disease.":[12],"Recently,":[13],"many":[14],"studies":[15],"have":[16],"developed":[17],"semi-supervised":[18],"learning":[19],"(SSL)":[20],"algorithms":[21],"this":[23,40,64],"purpose.":[24],"However,":[25],"two":[26],"challenges":[27],"are":[28],"still":[29],"unsolved,":[30],"i.e.,":[31],"linear":[32],"pattern":[33],"modeling":[34],"and":[35,58,99,110,115],"limited":[36],"perturbation":[37,61,87,93],"space.":[38],"To":[39],"end,":[41],"we":[42,83],"develop":[43],"KS-Net,":[44],"an":[45,59],"innovative":[46],"framework":[47],"segmentation,":[51],"incorporating":[52],"Kolmogorov-Arnold":[54],"network":[55,69],"(KAN)":[56],"module":[57,73],"SSL-based":[60],"strategy.":[62],"Specifically,":[63],"work":[65],"designs":[66],"U-shaped":[68],"with":[70,77],"KAN":[72],"to":[74,89],"be":[75],"compatible":[76],"nonlinear":[78],"high-level":[79],"features.":[80],"In":[81],"addition,":[82],"introduce":[84],"dual-stream":[86],"approach":[88],"investigate":[90],"predefined":[92],"space":[94],"at":[95],"image":[97],"level":[98],"leverage":[100],"SSL":[101],"discriminative":[103],"representations.":[104],"Our":[105],"proposed":[106],"KS-Net":[107],"is":[108],"trained":[109],"tested":[111],"on":[112],"MyoPS":[113],"2020":[114],"automated":[116],"challenge":[119],"(ACDC)":[120],"datasets.":[121],"Experimental":[122],"results":[123],"indicated":[124],"that":[125],"it":[126],"effectively":[127],"outperforms":[128],"existing":[129],"state-of-the-art":[130],"(SOTA)":[131],"methods":[132],"in":[133],"segmentation.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}