{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T15:11:22Z","timestamp":1779376282668,"version":"3.53.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3287389","type":"journal-article","created":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:12:26Z","timestamp":1687198346000},"page":"64886-64896","source":"Crossref","is-referenced-by-count":8,"title":["Generalizing a Small Facial Image Dataset Using Facial Generative Adversarial Networks for Stroke\u2019s Facial Weakness Screening"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2264-8900","authenticated-orcid":false,"given":"Phongphan","family":"Phienphanich","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4766-1650","authenticated-orcid":false,"given":"Nichapa","family":"Lerthirunvibul","sequence":"additional","affiliation":[{"name":"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"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ekabhat","family":"Charnnarong","sequence":"additional","affiliation":[{"name":"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"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6895-6481","authenticated-orcid":false,"given":"Adirek","family":"Munthuli","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3889-7314","authenticated-orcid":false,"given":"Charturong","family":"Tantibundhit","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Rangsit Campus, Khlong Luang, Khlong Nueng, Pathum Thani, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nijasri C.","family":"Suwanwela","sequence":"additional","affiliation":[{"name":"Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Pathum Wan, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12071528"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2715076"},{"key":"ref12","article-title":"PanoHead: Geometry-aware 3D full-head synthesis in 360°","author":"an","year":"2023","journal-title":"arXiv 2303 13071"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.025"},{"key":"ref15","first-page":"1","article-title":"Towards identification of hypomimia in Parkinson’s disease based on face recognition methods","author":"rajnoha","year":"2018","journal-title":"Proc 10th Int Congr Ultra Modern Telecommun Control Syst Workshops (ICUMT)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950486"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/BF00977785"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1097-z"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00671"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/0470097434"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00209"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00525"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2964520"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/17474930211065917"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2196\/29554"},{"key":"ref39","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/FSKD.2015.7382213"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_39"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2017.02.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2196\/18697"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2537215"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.10"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.878282"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1089\/fpsam.2019.29000.gua"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.11613\/BM.2012.031"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-019-0197-0","article-title":"A survey on image data augmentation for deep learning","volume":"6","author":"shorten","year":"2019","journal-title":"J Big Data"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937285"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00611"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3527850"},{"key":"ref27","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","year":"2022","journal-title":"Image Datasets for Machine Learning |Generated Photos"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000000523"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.107.181486"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7861\/clinmed.2019-0123"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3049739"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3024292"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857550"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-27621-4"},{"key":"ref40","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"clevert","year":"2015","journal-title":"arXiv 1511 07289"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10155132.pdf?arnumber=10155132","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:52:36Z","timestamp":1690221156000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10155132\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3287389","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}