{"id":"https://openalex.org/W4381250279","doi":"https://doi.org/10.1109/access.2023.3287389","title":"Generalizing a Small Facial Image Dataset Using Facial Generative Adversarial Networks for Stroke\u2019s Facial Weakness Screening","display_name":"Generalizing a Small Facial Image Dataset Using Facial Generative Adversarial Networks for Stroke\u2019s Facial Weakness Screening","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381250279","doi":"https://doi.org/10.1109/access.2023.3287389"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3287389","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287389","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155132.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155132.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016081932","display_name":"P. Phienphanich","orcid":"https://orcid.org/0000-0003-2264-8900"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Phongphan Phienphanich","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-2264-8900","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014020888","display_name":"Nichapa Lerthirunvibul","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nichapa Lerthirunvibul","raw_affiliation_strings":["Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-4766-1650","affiliations":[{"raw_affiliation_string":"Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092206916","display_name":"Ekabhat Charnnarong","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Ekabhat Charnnarong","raw_affiliation_strings":["Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand","Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand; Patumwan Demonstration School, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Center of Excellence in Intelligent Informatics, Speech and Language Technology, and Service Innovation (CILS), Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand; Patumwan Demonstration School, Bangkok, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039491318","display_name":"A. Munthuli","orcid":"https://orcid.org/0009-0006-6895-6481"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Adirek Munthuli","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0009-0006-6895-6481","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082973251","display_name":"Charturong Tantibundhit","orcid":"https://orcid.org/0000-0002-3889-7314"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Charturong Tantibundhit","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-3889-7314","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108157082","display_name":"Nijasri C. Suwanwela","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nijasri C. Suwanwela","raw_affiliation_strings":["Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Pathum Wan, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Pathum Wan, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7317,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85107069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"64886","last_page":"64896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11322","display_name":"Facial Rejuvenation and Surgery Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"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/T11448","display_name":"Face recognition and analysis","score":0.9944999814033508,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7045366764068604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798831224441528},{"id":"https://openalex.org/keywords/facial-weakness","display_name":"Facial weakness","score":0.6334518790245056},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6131730079650879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5285680890083313},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.4423214793205261},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.42862385511398315},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.41559842228889465},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4124469757080078},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4086454510688782},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3485126197338104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3166853189468384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2057652473449707},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20499032735824585},{"id":"https://openalex.org/keywords/weakness","display_name":"Weakness","score":0.17659211158752441}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045366764068604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798831224441528},{"id":"https://openalex.org/C2777301891","wikidata":"https://www.wikidata.org/wiki/Q5428572","display_name":"Facial weakness","level":3,"score":0.6334518790245056},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6131730079650879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5285680890083313},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.4423214793205261},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.42862385511398315},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.41559842228889465},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4124469757080078},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4086454510688782},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3485126197338104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3166853189468384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2057652473449707},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20499032735824585},{"id":"https://openalex.org/C2780247198","wikidata":"https://www.wikidata.org/wiki/Q633403","display_name":"Weakness","level":2,"score":0.17659211158752441},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3287389","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287389","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155132.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:19f1fd85b14f4e63998993dbdc5344ba","is_oa":true,"landing_page_url":"https://doaj.org/article/19f1fd85b14f4e63998993dbdc5344ba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 64886-64896 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3287389","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287389","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155132.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310004","display_name":"King Chulalongkorn Memorial Hospital","ror":"https://ror.org/05jd2pj53"},{"id":"https://openalex.org/F4320334939","display_name":"Faculty of Medicine, Chulalongkorn University","ror":"https://ror.org/028wp3y58"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381250279.pdf","grobid_xml":"https://content.openalex.org/works/W4381250279.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1896424170","https://openalex.org/W2002827932","https://openalex.org/W2080185750","https://openalex.org/W2140291188","https://openalex.org/W2247965534","https://openalex.org/W2302333535","https://openalex.org/W2331143823","https://openalex.org/W2560473673","https://openalex.org/W2590966124","https://openalex.org/W2594075545","https://openalex.org/W2698180911","https://openalex.org/W2799930024","https://openalex.org/W2954996726","https://openalex.org/W2963285578","https://openalex.org/W2969316260","https://openalex.org/W2969985801","https://openalex.org/W2971178571","https://openalex.org/W2975535607","https://openalex.org/W2979358988","https://openalex.org/W2982242374","https://openalex.org/W3000545676","https://openalex.org/W3006435130","https://openalex.org/W3017052274","https://openalex.org/W3034552680","https://openalex.org/W3034664137","https://openalex.org/W3087784856","https://openalex.org/W3118484687","https://openalex.org/W3122663073","https://openalex.org/W3171007011","https://openalex.org/W3200592338","https://openalex.org/W4205679663","https://openalex.org/W4214666522","https://openalex.org/W4214926101","https://openalex.org/W4253920039","https://openalex.org/W4283368621","https://openalex.org/W4283749599","https://openalex.org/W4294214983","https://openalex.org/W4311212916","https://openalex.org/W4312443924","https://openalex.org/W4313890660","https://openalex.org/W4320013936","https://openalex.org/W6631943919","https://openalex.org/W6685562342"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2810330923","https://openalex.org/W4289763776"],"abstract_inverted_index":{"Stroke":[0,31],"is":[1,27,32,64],"a":[2,65,102,170,235],"medical":[3],"emergency":[4],"resulting":[5],"from":[6,111,151,175,180],"disruption":[7],"of":[8,14,36,50,68,76,79,104,158,204,208,220],"blood":[9],"supply":[10],"to":[11,19,59,86,117,168,192,211],"different":[12,125],"parts":[13],"the":[15,25,28,33,42,48,88,186,197,226,255],"brain":[16,26],"which":[17,39,63,114,215],"leads":[18],"facial":[20,51,61,72,108,138,171],"weakness":[21,62,172],"and":[22,56,82,106,134,142,161,166,206,249],"paralysis":[23],"as":[24,95],"control":[29],"center.":[30],"leading":[34],"cause":[35],"long-term":[37],"disability":[38],"significantly":[40],"changes":[41],"patient\u2019s":[43],"life.":[44],"This":[45,98,222,243],"paper":[46],"introduces":[47],"use":[49,239],"image":[52,73,109],"dataset":[53,93,100,237],"containing":[54],"neutral":[55,105],"smiling":[57,107,121],"expressions":[58],"classify":[60],"common":[66],"sign":[67],"stroke.":[69],"Our":[70],"\u201creal":[71],"dataset\"":[74],"comprises":[75],"face":[77],"images":[78,122],"normal":[80],"subjects":[81],"stroke":[83,241],"patients.":[84],"However,":[85],"increase":[87],"dataset,":[89,199],"we":[90],"added":[91],"another":[92],"known":[94],"\u201cFaceGAN":[96],"dataset\".":[97],"additional":[99,120],"contains":[101],"pair":[103],"synthesized":[110],"public":[112],"datasets":[113],"were":[115,130],"augmented":[116],"generate":[118],"two":[119],"at":[123],"eight":[124],"age":[126],"groups.":[127],"The":[128],"faces":[129],"divided":[131],"into":[132],"left":[133],"right":[135],"side":[136],"using":[137],"landmark":[139],"detection":[140],"technique":[141],"corrected":[143],"for":[144,232,238,251],"geometric":[145],"distortions":[146],"through":[147],"affine":[148],"transformation":[149],"matrix":[150],"Delaunay":[152],"triangulation.":[153],"An":[154],"autoencoder":[155],"model":[156,174,187],"composed":[157],"ConvNeXt":[159],"encoder":[160],"ConvNet":[162],"decoder":[163],"was":[164,189],"trained":[165],"used":[167,195],"fine-tune":[169],"classification":[173],"our":[176],"proposed":[177],"architecture.":[178],"Results":[179],"four-fold":[181],"cross":[182],"validation":[183,188],"showed":[184],"that":[185,225],"less":[190],"prone":[191],"overfitting":[193],"when":[194],"with":[196,200,234,240],"FaceGAN":[198,213,227],"an":[201,218],"average":[202],"AUC":[203],"0.76":[205],"F1-score":[207,219],"71.19%,":[209],"compared":[210],"without":[212],"data":[214],"only":[216],"achieved":[217],"61.54%.":[221],"study":[223],"shows":[224],"can":[228,245],"efficiently":[229],"generalize":[230],"models":[231],"programs":[233],"small":[236],"detection.":[242],"work":[244],"be":[246],"further":[247],"improved":[248],"optimized":[250],"clinical":[252],"application":[253],"in":[254],"future.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}