{"id":"https://openalex.org/W3183871793","doi":"https://doi.org/10.1109/access.2021.3098865","title":"Applying a Pix2Pix Generative Adversarial Network to a Fourier-Domain Optical Coherence Tomography System for Artifact Elimination","display_name":"Applying a Pix2Pix Generative Adversarial Network to a Fourier-Domain Optical Coherence Tomography System for Artifact Elimination","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183871793","doi":"https://doi.org/10.1109/access.2021.3098865","mag":"3183871793"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3098865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3098865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09492218.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/9312710/09492218.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101956663","display_name":"Chun-Ming Huang","orcid":"https://orcid.org/0000-0001-7748-9404"},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chun-Ming Huang","raw_affiliation_strings":["Department of Electronic Engineering, National Formosa University, Huwei, Yunlin, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Formosa University, Huwei, Yunlin, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052597876","display_name":"Eddy Wijanto","orcid":"https://orcid.org/0000-0002-1214-6256"},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Eddy Wijanto","raw_affiliation_strings":["Department of Electro-Optical Engineering, National Formosa University, Huwei, Yunlin, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electro-Optical Engineering, National Formosa University, Huwei, Yunlin, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103384627","display_name":"Hsu-Chih Cheng","orcid":"https://orcid.org/0000-0002-0806-7993"},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsu-Chih Cheng","raw_affiliation_strings":["Department of Electro-Optical Engineering, National Formosa University, Huwei, Yunlin, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electro-Optical Engineering, National Formosa University, Huwei, Yunlin, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101956663"],"corresponding_institution_ids":["https://openalex.org/I40689657"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8356,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69122713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"103311","last_page":"103324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9993000030517578,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.8320412635803223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588761210441589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6024200320243835},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5829895734786987},{"id":"https://openalex.org/keywords/fourier-domain","display_name":"Fourier domain","score":0.529762327671051},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.45155560970306396},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4502515196800232},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.44925248622894287},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.43113505840301514},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.41390833258628845},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.4129071831703186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36181455850601196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.352374792098999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3482532501220703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3169402778148651},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21223220229148865}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.8320412635803223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588761210441589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6024200320243835},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5829895734786987},{"id":"https://openalex.org/C3019555358","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Fourier domain","level":3,"score":0.529762327671051},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.45155560970306396},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4502515196800232},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.44925248622894287},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.43113505840301514},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.41390833258628845},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.4129071831703186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36181455850601196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.352374792098999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3482532501220703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3169402778148651},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21223220229148865},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3098865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3098865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09492218.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1739d05793b94de08e40e6412139e8d8","is_oa":true,"landing_page_url":"https://doaj.org/article/1739d05793b94de08e40e6412139e8d8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 9, Pp 103311-103324 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3098865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3098865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09492218.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1864622026","display_name":null,"funder_award_id":"MOST 107-2218-E-150-008-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4908852436","display_name":null,"funder_award_id":"MOST 110-2221-E-150-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7728166382","display_name":null,"funder_award_id":"MOST 108-2221-E-150-041","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183871793.pdf","grobid_xml":"https://content.openalex.org/works/W3183871793.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1568011199","https://openalex.org/W1587283570","https://openalex.org/W1710476689","https://openalex.org/W1968945499","https://openalex.org/W1981512659","https://openalex.org/W2034581610","https://openalex.org/W2072901953","https://openalex.org/W2088802045","https://openalex.org/W2154784313","https://openalex.org/W2160722942","https://openalex.org/W2889741540","https://openalex.org/W2894623083","https://openalex.org/W2910712287","https://openalex.org/W2963073614","https://openalex.org/W2971043720","https://openalex.org/W2977808227","https://openalex.org/W2980107940","https://openalex.org/W2994908874","https://openalex.org/W3002878349","https://openalex.org/W3005078977","https://openalex.org/W3016451817","https://openalex.org/W3034389409","https://openalex.org/W3047587817","https://openalex.org/W3080434985","https://openalex.org/W3100099140","https://openalex.org/W3112976132","https://openalex.org/W3123676663","https://openalex.org/W4238837693","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6773579204","https://openalex.org/W6782068436","https://openalex.org/W6784587063"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W4382240561","https://openalex.org/W3178813832","https://openalex.org/W3192242026","https://openalex.org/W2988458970","https://openalex.org/W2805898668","https://openalex.org/W3163502926"],"abstract_inverted_index":{"The":[0,76],"presence":[1],"of":[2,14,36,105,110,133,140,151],"artifacts,":[3,9],"including":[4],"conjugate,":[5],"DC,":[6],"and":[7,102,147,177],"auto-correlation":[8],"is":[10,57],"a":[11],"critical":[12],"limitation":[13],"Fourier-domain":[15],"optical":[16,103],"coherence":[17],"tomography":[18],"(FD-OCT).":[19],"Many":[20],"methods":[21],"have":[22],"been":[23],"proposed":[24,83,119,159],"to":[25,29,70,125],"resolve":[26],"this":[27,62],"problem":[28],"obtain":[30],"high-quality":[31],"images.":[32,75,113],"Furthermore,":[33],"the":[34,46,67,82,98,118,137,141,144,148,152,158,163,180],"development":[35],"deep":[37],"learning":[38],"has":[39],"resulted":[40],"in":[41,45],"many":[42],"prospective":[43],"advancements":[44],"medical":[47],"field;":[48],"image-to-image":[49],"translation":[50],"by":[51],"using":[52],"generative":[53],"adversarial":[54],"networks":[55],"(GANs)":[56],"one":[58],"such":[59],"advancement.":[60],"In":[61,96],"study,":[63],"we":[64],"propose":[65],"applying":[66],"Pix2Pix":[68],"GAN":[69],"eliminate":[71],"artifacts":[72],"from":[73],"FD-OCT":[74,88,93,99,121,128,165,176],"first":[77],"experiment":[78,115,155],"results":[79],"showed":[80],"that":[81,117,157],"framework":[84],"could":[85,161],"translate":[86],"conventional":[87,164],"depth":[89,94,100,166],"profiles":[90,167],"into":[91,174],"artifact-free":[92,127],"profiles.":[95],"addition,":[97],"profile":[101],"distance":[104],"translated":[106,162],"images":[107],"matched":[108],"those":[109],"ground":[111],"truth":[112],"Second":[114],"verified":[116],"GAN-based":[120],"can":[122],"be":[123],"applied":[124],"generate":[126],"image":[129,173],"with":[130,168],"different":[131],"parameters":[132],"sample":[134,142],"refractive":[135],"index,":[136],"front":[138],"surface":[139],"toward":[143],"zero-delay":[145],"position,":[146],"physical":[149],"thickness":[150],"sample.":[153],"Third":[154],"proved":[156],"model":[160],"additional":[169],"Gaussian":[170],"noises":[171],"source":[172],"artifacts-free":[175],"successfully":[178],"relieved":[179],"noise.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
