{"id":"https://openalex.org/W3023480753","doi":"https://doi.org/10.1109/access.2020.2991445","title":"Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography","display_name":"Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023480753","doi":"https://doi.org/10.1109/access.2020.2991445","mag":"3023480753"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2991445","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991445","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09082676.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/ielx7/6287639/8948470/09082676.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074516629","display_name":"Sung\u2010Hee Jung","orcid":"https://orcid.org/0000-0002-8042-457X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sunghee Jung","raw_affiliation_strings":["Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, South Korea","CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8042-457X","affiliations":[{"raw_affiliation_string":"Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079384927","display_name":"Soochahn Lee","orcid":"https://orcid.org/0000-0002-2975-2519"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soochahn Lee","raw_affiliation_strings":["School of Electrical Engineering, Kookmin University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2975-2519","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, South Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467968","display_name":"Byunghwan Jeon","orcid":"https://orcid.org/0000-0002-0414-1762"},"institutions":[{"id":"https://openalex.org/I4210113474","display_name":"Kyungil University","ror":"https://ror.org/024kwvm84","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210113474"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byunghwan Jeon","raw_affiliation_strings":["School of Computer Science, Kyungil University, Gyeongsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0414-1762","affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungil University, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I4210113474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080061451","display_name":"Yeonggul Jang","orcid":"https://orcid.org/0000-0002-5805-7494"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeonggul Jang","raw_affiliation_strings":["Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5805-7494","affiliations":[{"raw_affiliation_string":"Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083433064","display_name":"Hyuk\u2010Jae Chang","orcid":"https://orcid.org/0000-0002-6139-7545"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210160791","display_name":"Yonsei University Health System","ror":"https://ror.org/04sze3c15","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Chang","raw_affiliation_strings":["CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea","Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6139-7545","affiliations":[{"raw_affiliation_string":"CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea","institution_ids":["https://openalex.org/I4210160791"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074516629"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7618,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87328239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"81849","last_page":"81863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9990000128746033,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7277483940124512},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.7028781175613403},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.6939175128936768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142075657844543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5816623568534851},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5342361927032471},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5289393067359924},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.43803173303604126},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.42660897970199585},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4253529906272888},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24381855130195618},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.22596994042396545},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1063511073589325},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07955047488212585}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7277483940124512},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.7028781175613403},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6939175128936768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142075657844543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5816623568534851},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5342361927032471},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5289393067359924},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.43803173303604126},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.42660897970199585},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4253529906272888},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24381855130195618},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.22596994042396545},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1063511073589325},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07955047488212585},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2991445","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991445","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09082676.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:b2cb37a66fac43a984665b07ecc20cd3","is_oa":true,"landing_page_url":"https://doaj.org/article/b2cb37a66fac43a984665b07ecc20cd3","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 8, Pp 81849-81863 (2020)","raw_type":"article"},{"id":"pmh:oai:ir.ymlib.yonsei.ac.kr:22282913/183814","is_oa":true,"landing_page_url":"https://ir.ymlib.yonsei.ac.kr/handle/22282913/183814","pdf_url":null,"source":{"id":"https://openalex.org/S4306400691","display_name":"YUHSpace (Yonsei University Medical Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193775966","host_organization_name":"Yonsei University","host_organization_lineage":["https://openalex.org/I193775966"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2991445","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991445","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09082676.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":[{"score":0.5099999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2992462654","display_name":null,"funder_award_id":"2017-0-00255","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G3337916764","display_name":null,"funder_award_id":"NRF-2019R1F1A1063656","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4217457801","display_name":null,"funder_award_id":"2018-0-00861","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5197810459","display_name":null,"funder_award_id":"2018-0-00861","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023480753.pdf","grobid_xml":"https://content.openalex.org/works/W3023480753.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1815076433","https://openalex.org/W1979233831","https://openalex.org/W1982008878","https://openalex.org/W1986413522","https://openalex.org/W2016630733","https://openalex.org/W2030734503","https://openalex.org/W2043843236","https://openalex.org/W2049944291","https://openalex.org/W2088813331","https://openalex.org/W2108598243","https://openalex.org/W2124964692","https://openalex.org/W2132259559","https://openalex.org/W2133665775","https://openalex.org/W2146561080","https://openalex.org/W2148958759","https://openalex.org/W2149803830","https://openalex.org/W2155893237","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2510850936","https://openalex.org/W2545172435","https://openalex.org/W2592726317","https://openalex.org/W2650147422","https://openalex.org/W2743290261","https://openalex.org/W2772297088","https://openalex.org/W2892191441","https://openalex.org/W2910395777","https://openalex.org/W2962729993","https://openalex.org/W2963231598","https://openalex.org/W2963709863","https://openalex.org/W4298370744","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638545294","https://openalex.org/W6678856934","https://openalex.org/W6682173217","https://openalex.org/W6684191040","https://openalex.org/W6702130928","https://openalex.org/W6730379398","https://openalex.org/W7018585298"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W2417440389","https://openalex.org/W4308623176","https://openalex.org/W4244157427","https://openalex.org/W2592240942"],"abstract_inverted_index":{"Motion":[0],"artifacts":[1,197],"may":[2],"occur":[3],"in":[4,54,69,156,163,238],"coronary":[5,20,29,61,205,240],"computed":[6,90],"tomography":[7,91],"angiography":[8],"(CCTA)":[9],"due":[10],"to":[11,33,82,93,153],"the":[12,16,28,35,57,60,116,123,129,180,193,204,224,231],"heartbeat":[13],"and":[14,144,159,201,226],"impede":[15],"clinician's":[17],"diagnosis":[18],"of":[19,27,37,59,122,182,203,230],"arterial":[21],"diseases.":[22],"Thus,":[23],"motion":[24,51,64,106,183,196],"artifact":[25,52,107],"correction":[26,53,108,181],"artery":[30,62,206,241],"is":[31,73,139,176],"required":[32,68],"quantify":[34],"risk":[36],"disease":[38],"more":[39],"accurately.":[40],"We":[41,97],"present":[42],"a":[43,78,100,169,211,235],"novel":[44],"method":[45,81,138,233],"based":[46,172],"on":[47,173,223],"deep":[48,71],"learning":[49],"for":[50,105],"CCTA.":[55],"Because":[56],"image":[58,84,120],"without":[63],"(the":[65],"ground-truth":[66,112],"data":[67],"supervised":[70],"learning)":[72],"medically":[74],"unattainable,":[75],"we":[76],"apply":[77],"style":[79],"transfer":[80],"2D":[83,119],"patches":[85,121],"cropped":[86],"from":[87],"full-phase":[88],"4D":[89],"(CT)":[92],"synthesize":[94],"these":[95],"images.":[96],"then":[98],"train":[99],"convolutional":[101],"neural":[102],"network":[103,125],"(CNN)":[104],"using":[109,141,220],"this":[110],"synthetic":[111],"(SynGT).":[113],"During":[114],"testing,":[115],"output":[117],"motion-corrected":[118],"trained":[124],"are":[126,198,207],"reinserted":[127],"into":[128],"3D":[130],"CT":[131,228],"volume":[132],"with":[133,210],"volumetric":[134],"interpolation.":[135],"The":[136],"proposed":[137,194,232],"evaluated":[140],"both":[142],"phantom":[143,148],"clinical":[145,167],"data.":[146],"A":[147],"study":[149,188],"demonstrates":[150],"comparable":[151],"results":[152],"other":[154],"methods":[155,162],"quantitative":[157,170],"performance":[158],"outperforms":[160],"those":[161],"computation":[164],"time.":[165],"For":[166],"data,":[168],"analysis":[171],"metric":[174],"measurements":[175],"presented":[177],"that":[178,190],"confirms":[179],"artifacts.":[184],"Moreover,":[185],"an":[186],"observer":[187],"finds":[189],"by":[191],"applying":[192],"method,":[195],"markedly":[199],"reduced,":[200],"boundaries":[202],"much":[208],"sharper,":[209],"strong":[212],"inter-observer":[213],"agreement":[214],"(\u03ba":[215],"=":[216],"0.78).":[217],"Finally,":[218],"evaluations":[219],"commercial":[221],"software":[222],"original":[225],"resulting":[227],"volumes":[229],"reveal":[234],"considerable":[236],"increase":[237],"tracked":[239],"length.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
