{"id":"https://openalex.org/W3163815889","doi":"https://doi.org/10.1109/icassp39728.2021.9414420","title":"Improving Ultrasound Tongue Contour Extraction Using U-Net and Shape Consistency-Based Regularizer","display_name":"Improving Ultrasound Tongue Contour Extraction Using U-Net and Shape Consistency-Based Regularizer","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163815889","doi":"https://doi.org/10.1109/icassp39728.2021.9414420","mag":"3163815889"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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/A5026070862","display_name":"Ming Feng","orcid":"https://orcid.org/0000-0001-9943-5941"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Feng","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043176070","display_name":"Yin Wang","orcid":"https://orcid.org/0000-0002-8137-7496"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Wang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013340793","display_name":"Kele Xu","orcid":"https://orcid.org/0000-0001-5997-5169"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kele Xu","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China","National Key Lab of Parallel and Distributed Processing, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Lab of Parallel and Distributed Processing, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522100","display_name":"Huaimin Wang","orcid":"https://orcid.org/0000-0002-3245-1901"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaimin Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China","National Key Lab of Parallel and Distributed Processing, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Lab of Parallel and Distributed Processing, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088885490","display_name":"Bo Ding","orcid":"https://orcid.org/0000-0002-1236-8318"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ding","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China","National Key Lab of Parallel and Distributed Processing, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Lab of Parallel and Distributed Processing, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6443","last_page":"6447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative 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/T11521","display_name":"Salivary Gland Disorders and Functions","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9118000268936157,"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/computer-science","display_name":"Computer science","score":0.7705629467964172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7124814987182617},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6692390441894531},{"id":"https://openalex.org/keywords/tongue","display_name":"Tongue","score":0.6321001052856445},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6201944351196289},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5194898843765259},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5032400488853455},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4752733111381531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4323517084121704},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.43230000138282776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35051822662353516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14900383353233337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7705629467964172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7124814987182617},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6692390441894531},{"id":"https://openalex.org/C2779744641","wikidata":"https://www.wikidata.org/wiki/Q9614","display_name":"Tongue","level":2,"score":0.6321001052856445},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6201944351196289},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5194898843765259},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5032400488853455},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4752733111381531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4323517084121704},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43230000138282776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35051822662353516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14900383353233337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1995440941","https://openalex.org/W1995735739","https://openalex.org/W2008120082","https://openalex.org/W2127556538","https://openalex.org/W2152262131","https://openalex.org/W2160537405","https://openalex.org/W2167065813","https://openalex.org/W2274909984","https://openalex.org/W2397249253","https://openalex.org/W2623570296","https://openalex.org/W2953122916","https://openalex.org/W2962914239","https://openalex.org/W2963816051","https://openalex.org/W2963830389","https://openalex.org/W2964121744","https://openalex.org/W2983786745","https://openalex.org/W2984833982","https://openalex.org/W2995428982","https://openalex.org/W4288279674","https://openalex.org/W4320815369","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6692304228","https://openalex.org/W6766188099","https://openalex.org/W6770003738"],"related_works":["https://openalex.org/W3136794468","https://openalex.org/W2367950022","https://openalex.org/W2365707941","https://openalex.org/W2366141844","https://openalex.org/W2383946220","https://openalex.org/W2358428239","https://openalex.org/W3011636953","https://openalex.org/W2351206852","https://openalex.org/W3212410916","https://openalex.org/W3006862861"],"abstract_inverted_index":{"B-mode":[0,24],"ultrasound":[1,25,62,129],"tongue":[2,10,19,68,130],"imaging":[3,131],"is":[4,27,33],"widely":[5],"used":[6],"to":[7,13,56,66],"visualize":[8],"the":[9,18,23,51,61,67,72,78,82,95,97,110,113,125,134,137,145],"motion,":[11],"due":[12],"its":[14],"appearing":[15],"properties.":[16],"Extracting":[17],"surface":[20],"contour":[21,59],"in":[22,47,77,147],"image":[26],"still":[28],"a":[29,34],"challenge,":[30],"while":[31],"it":[32],"prerequisite":[35],"for":[36],"further":[37],"quantitative":[38],"analysis.":[39],"Recently,":[40],"deep":[41,53,98],"learning-based":[42],"approach":[43],"has":[44],"been":[45],"adopted":[46],"this":[48,148],"task.":[49],"However,":[50],"standard":[52],"models":[54],"fail":[55],"address":[57,71],"faint":[58,73],"when":[60],"wave":[63],"goes":[64],"parallel":[65],"surface.":[69],"To":[70,142],"or":[74],"missing":[75],"contours":[76,114],"sequence,":[79],"we":[80,150],"explore":[81],"shape":[83],"consistency-based":[84],"regularizer,":[85,96],"which":[86],"can":[87,102,108],"take":[88],"sequential":[89],"information":[90],"into":[91],"account.":[92],"By":[93],"incorporating":[94],"model":[99],"not":[100],"only":[101],"extract":[103],"frame-specific":[104],"contours,":[105],"but":[106],"also":[107],"enforce":[109],"similarity":[111],"between":[112],"extracted":[115],"from":[116],"adjacent":[117],"frames.":[118],"Extensive":[119],"experiments":[120],"are":[121],"conducted":[122],"both":[123],"on":[124],"synthetic":[126],"and":[127,133],"real":[128],"dataset":[132],"results":[135],"demonstrate":[136],"effectiveness":[138],"of":[139],"proposed":[140],"method.":[141],"better":[143],"promote":[144],"research":[146],"field,":[149],"have":[151],"released":[152],"our":[153],"code":[154],"at":[155],"<sup":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[158],".":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}