{"id":"https://openalex.org/W4406238107","doi":"https://doi.org/10.1109/bibm62325.2024.10822096","title":"X-Match: A Semi-Supervised Framework for Oral Jawbones Segmentation Using Wavelet Transform for Enhanced Consistency Learning","display_name":"X-Match: A Semi-Supervised Framework for Oral Jawbones Segmentation Using Wavelet Transform for Enhanced Consistency Learning","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406238107","doi":"https://doi.org/10.1109/bibm62325.2024.10822096"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5024729697","display_name":"Zhengkai Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengkai Weng","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035208381","display_name":"Songwei Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songwei Zheng","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064757305","display_name":"Chunyan Yu","orcid":"https://orcid.org/0000-0003-4519-6193"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Yu","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104666110","display_name":"Danhong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danhong Zhu","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016489298","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0001-7940-1410"},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["Fujian Medical University,Department of Prosthodontics, School and Hospital of Stomatology,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Medical University,Department of Prosthodontics, School and Hospital of Stomatology,Fuzhou,China","institution_ids":["https://openalex.org/I129708740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549847","display_name":"Linghui Jia","orcid":"https://orcid.org/0000-0001-8502-5714"},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linghui Jia","raw_affiliation_strings":["Fujian Medical University,Department of Prosthodontics, School and Hospital of Stomatology,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Medical University,Department of Prosthodontics, School and Hospital of Stomatology,Fuzhou,China","institution_ids":["https://openalex.org/I129708740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366086","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-0138-3416"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025579103","display_name":"Honglei Lin","orcid":"https://orcid.org/0000-0002-9945-5050"},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglei Lin","raw_affiliation_strings":["Fujian Medical University,Department of Prosthodontics, School and Hospital of Stomatology,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Medical University,Department of Prosthodontics, School and Hospital of Stomatology,Fuzhou,China","institution_ids":["https://openalex.org/I129708740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"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":0.36447645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7156","last_page":"7158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10359","display_name":"Dental Implant Techniques and Outcomes","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9775000214576721,"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/wavelet-transform","display_name":"Wavelet transform","score":0.6706961393356323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6675782799720764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489303112030029},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6420775055885315},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6345282793045044},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5642314553260803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43180859088897705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3629418611526489}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6706961393356323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6675782799720764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489303112030029},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6420775055885315},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6345282793045044},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5642314553260803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43180859088897705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3629418611526489}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328113","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2132180092","https://openalex.org/W2981571980","https://openalex.org/W4224112567","https://openalex.org/W4312310512","https://openalex.org/W4312651959","https://openalex.org/W4386075981","https://openalex.org/W6846091866"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Determining":[0],"the":[1,12,139],"occlusal":[2],"position":[3],"in":[4,11,62,179],"CBCT":[5],"images":[6],"is":[7,43],"a":[8,36,115],"critical":[9],"step":[10],"digital":[13],"virtual":[14],"articulator":[15],"treatment":[16],"of":[17],"Anterior":[18],"Disc":[19],"Displacement":[20],"with":[21,150],"Reduction":[22],"(ADDwR).":[23],"Current":[24,52],"oral":[25,41,121,180],"segmentation":[26,54],"methods":[27,55,65],"primarily":[28],"rely":[29],"on":[30],"supervised":[31],"learning,":[32],"which":[33,70],"typically":[34],"requires":[35],"large":[37],"dataset.":[38,182],"However,":[39],"acquiring":[40],"datasets":[42],"complex":[44],"and":[45,88,132,175],"challenging,":[46],"making":[47],"semi-supervised":[48,53,64,79,117],"learning":[49,80,140],"more":[50],"suitable.":[51],"have":[56],"several":[57],"limitations.":[58],"The":[59,124],"perturbations":[60],"used":[61],"consistency-based":[63],"are":[66,96],"often":[67,81],"manually":[68],"designed,":[69],"can":[71],"introduce":[72],"negative":[73],"biases":[74],"detrimental":[75],"to":[76,129,159],"training.":[77],"Furthermore,":[78,146],"faces":[82],"an":[83],"empirical":[84],"mismatch":[85],"between":[86],"labeled":[87,106,149,165],"unlabeled":[89,151,157],"data.":[90,166],"When":[91],"these":[92],"two":[93],"data":[94,107,152,158],"types":[95],"handled":[97],"independently":[98],"or":[99],"without":[100],"alignment,":[101],"significant":[102],"information":[103,134],"derived":[104],"from":[105,164],"may":[108],"not":[109],"be":[110],"fully":[111],"utilized.":[112],"We":[113],"propose":[114],"novel":[116],"framework":[118],"X-Match":[119,125],"for":[120,135],"jawbones":[122,181],"segmentation.":[123],"utilizes":[126],"wavelet":[127],"transforms":[128],"extract":[130],"low-frequency":[131],"high-frequency":[133],"consistency":[136],"training,":[137,155],"reducing":[138],"bias":[141],"caused":[142],"by":[143],"manual":[144],"perturbations.":[145],"it":[147],"combines":[148],"bidirectionally":[153],"during":[154],"allowing":[156],"acquire":[160],"comprehensive":[161],"shared":[162],"features":[163],"Experimental":[167],"results":[168],"demonstrate":[169],"that":[170],"our":[171],"method":[172],"outperforms":[173],"baselines":[174],"achieves":[176],"superior":[177],"performance":[178]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
