{"id":"https://openalex.org/W4280564342","doi":"https://doi.org/10.1186/s12880-022-00815-4","title":"Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement","display_name":"Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement","publication_year":2022,"publication_date":"2022-05-13","ids":{"openalex":"https://openalex.org/W4280564342","doi":"https://doi.org/10.1186/s12880-022-00815-4","pmid":"https://pubmed.ncbi.nlm.nih.gov/35562705"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-022-00815-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-022-00815-4","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00815-4","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00815-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032730131","display_name":"Seongwon Na","orcid":"https://orcid.org/0009-0004-9742-5351"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongwon Na","raw_affiliation_strings":["Department of Computer Science and Engineering, Konkuk University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052550275","display_name":"Yu Sub Sung","orcid":"https://orcid.org/0000-0002-9215-735X"},"institutions":[{"id":"https://openalex.org/I116631150","display_name":"Ulsan College","ror":"https://ror.org/02tec3785","country_code":"KR","type":"education","lineage":["https://openalex.org/I116631150"]},{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]},{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yu Sub Sung","raw_affiliation_strings":["Clinical Research Center, Asan Medical Center, Seoul, Korea","Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical Research Center, Asan Medical Center, Seoul, Korea","institution_ids":["https://openalex.org/I2801680663"]},{"raw_affiliation_string":"Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea","institution_ids":["https://openalex.org/I116631150","https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036018935","display_name":"Yousun Ko","orcid":"https://orcid.org/0000-0002-2181-9555"},"institutions":[{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yousun Ko","raw_affiliation_strings":["Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea","institution_ids":["https://openalex.org/I2801680663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037169767","display_name":"Youngbin Shin","orcid":"https://orcid.org/0000-0003-2753-9586"},"institutions":[{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngbin Shin","raw_affiliation_strings":["Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea","institution_ids":["https://openalex.org/I2801680663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373417","display_name":"Jung\u2010Hyun Lee","orcid":"https://orcid.org/0000-0003-1913-0027"},"institutions":[{"id":"https://openalex.org/I116631150","display_name":"Ulsan College","ror":"https://ror.org/02tec3785","country_code":"KR","type":"education","lineage":["https://openalex.org/I116631150"]},{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]},{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junghyun Lee","raw_affiliation_strings":["Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea","institution_ids":["https://openalex.org/I2801680663","https://openalex.org/I40542001","https://openalex.org/I116631150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076931412","display_name":"Jiyeon Ha","orcid":"https://orcid.org/0000-0003-3496-4134"},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiyeon Ha","raw_affiliation_strings":["Department of Radiology, Hallym University College of Medicine, Kangdong Seong-Sim Hospital, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Hallym University College of Medicine, Kangdong Seong-Sim Hospital, Seoul, Korea","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036490386","display_name":"Su Jung Ham","orcid":"https://orcid.org/0000-0003-1455-9262"},"institutions":[{"id":"https://openalex.org/I116631150","display_name":"Ulsan College","ror":"https://ror.org/02tec3785","country_code":"KR","type":"education","lineage":["https://openalex.org/I116631150"]},{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]},{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su Jung Ham","raw_affiliation_strings":["Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea","institution_ids":["https://openalex.org/I40542001","https://openalex.org/I2801680663","https://openalex.org/I116631150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037020447","display_name":"Kyoungro Yoon","orcid":"https://orcid.org/0000-0002-1153-4038"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyoungro Yoon","raw_affiliation_strings":["Department of Smart ICT Convergence Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-Gu, Seoul, Republic of Korea. yoonk@konkuk.ac.kr","Department of Smart ICT Convergence Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-Gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Smart ICT Convergence Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-Gu, Seoul, Republic of Korea. yoonk@konkuk.ac.kr","institution_ids":["https://openalex.org/I24062138"]},{"raw_affiliation_string":"Department of Smart ICT Convergence Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-Gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100614556","display_name":"Kyung Won Kim","orcid":"https://orcid.org/0000-0002-1532-5970"},"institutions":[{"id":"https://openalex.org/I116631150","display_name":"Ulsan College","ror":"https://ror.org/02tec3785","country_code":"KR","type":"education","lineage":["https://openalex.org/I116631150"]},{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]},{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung Won Kim","raw_affiliation_strings":["Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. medimash@gmail.com","Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. medimash@gmail.com","institution_ids":["https://openalex.org/I40542001"]},{"raw_affiliation_string":"Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea","institution_ids":["https://openalex.org/I40542001","https://openalex.org/I2801680663","https://openalex.org/I116631150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5037020447"],"corresponding_institution_ids":["https://openalex.org/I24062138"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.883,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71833545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"1","first_page":"87","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.29899999499320984,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.29899999499320984,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.22949999570846558,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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":0.14000000059604645,"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":0.7779456377029419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6693530082702637},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6227221488952637},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6058766841888428},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5987890362739563},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.49788355827331543},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4542529881000519},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4458492696285248},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43171262741088867},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4270630180835724},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42495328187942505},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.4117875397205353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3791855275630951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3609975278377533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35204535722732544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779456377029419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6693530082702637},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6227221488952637},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6058766841888428},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5987890362739563},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.49788355827331543},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4542529881000519},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4458492696285248},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43171262741088867},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4270630180835724},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42495328187942505},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.4117875397205353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3791855275630951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3609975278377533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35204535722732544},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018594","descriptor_name":"Human Body","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018594","descriptor_name":"Human Body","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018594","descriptor_name":"Human Body","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-022-00815-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-022-00815-4","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00815-4","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35562705","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35562705","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:65c9e3318ade4d70b4b183c4ef540887","is_oa":true,"landing_page_url":"https://doaj.org/article/65c9e3318ade4d70b4b183c4ef540887","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":"BMC Medical Imaging, Vol 22, Iss 1, Pp 1-13 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9107169","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9107169","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-022-00815-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-022-00815-4","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00815-4","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1971028859","display_name":null,"funder_award_id":"HI18C1216","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2261913263","display_name":null,"funder_award_id":"HI18C1216","funder_id":"https://openalex.org/F4320322107","funder_display_name":"Korea Health Industry Development Institute"},{"id":"https://openalex.org/G2718754107","display_name":null,"funder_award_id":"HI18C2383","funder_id":"https://openalex.org/F4320322107","funder_display_name":"Korea Health Industry Development Institute"},{"id":"https://openalex.org/G3597532165","display_name":null,"funder_award_id":"No. NRF-2020R1F1A1076604","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6241415205","display_name":null,"funder_award_id":"NRF-2020R1F1A1076604","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322107","display_name":"Korea Health Industry Development Institute","ror":"https://ror.org/00fdzyk40"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280564342.pdf","grobid_xml":"https://content.openalex.org/works/W4280564342.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2001881071","https://openalex.org/W2002088038","https://openalex.org/W2022256359","https://openalex.org/W2272719952","https://openalex.org/W2804935296","https://openalex.org/W2884015673","https://openalex.org/W2899980873","https://openalex.org/W2915829734","https://openalex.org/W2962866587","https://openalex.org/W2964350391","https://openalex.org/W2988716771","https://openalex.org/W2995024066","https://openalex.org/W3009202602","https://openalex.org/W3156484064"],"related_works":["https://openalex.org/W2358294942","https://openalex.org/W1996359983","https://openalex.org/W2047973478","https://openalex.org/W2601891598","https://openalex.org/W2032182853","https://openalex.org/W4367460280","https://openalex.org/W4205150741","https://openalex.org/W3214249595","https://openalex.org/W2130086496","https://openalex.org/W2121569490"],"abstract_inverted_index":{"BACKGROUND:":[0],"Despite":[1],"the":[2,6,18,38,84,90,99,134,193,206,210,215,221,264],"dramatic":[3],"increase":[4],"in":[5,11,160,192,205],"use":[7],"of":[8,15,21,52,95,144,212,217,223],"medical":[9],"imaging":[10],"various":[12],"therapeutic":[13],"fields":[14],"clinical":[16,132,213],"trials,":[17],"first":[19],"step":[20],"image":[22,46,141,268],"quality":[23,142,222,269],"check":[24,30,143],"(image":[25],"QC),":[26],"which":[27,48],"aims":[28],"to":[29,37,247],"whether":[31],"images":[32,65,256],"are":[33,257],"uploaded":[34],"appropriately":[35],"according":[36],"predefined":[39],"rules,":[40],"is":[41,107],"still":[42],"performed":[43],"manually":[44],"by":[45,219,228],"analysts,":[47],"requires":[49],"a":[50,145],"lot":[51],"manpower":[53],"and":[54,77,93,111,114,137,148,169,190,197,231,234,251,260],"time.":[55],"METHODS:":[56],"In":[57,180,209],"this":[58],"retrospective":[59],"study,":[60],"1669":[61],"computed":[62],"tomography":[63],"(CT)":[64],"with":[66],"five":[67],"specific":[68],"anatomical":[69,91],"locations":[70,92],"were":[71,150],"collected":[72,100],"from":[73],"Asan":[74],"Medical":[75],"Center":[76],"Kangdong":[78],"Sacred":[79],"Heart":[80],"Hospital.":[81],"To":[82,129],"generate":[83],"ground":[85],"truth,":[86],"two":[87],"radiologists":[88],"reviewed":[89],"presence":[94],"contrast":[96,182,252],"enhancement":[97,183,253],"using":[98],"data.":[101],"The":[102],"individual":[103],"deep":[104],"learning":[105],"model":[106,125,147],"developed":[108],"through":[109],"InceptionResNetv2":[110],"transfer":[112],"learning,":[113],"we":[115],"propose":[116],"Image":[117],"Quality":[118],"Check-Net":[119],"(Image":[120],"QC-Net),":[121],"an":[122],"ensemble":[123],"AI":[124,245],"that":[126],"utilizes":[127],"it.":[128],"evaluate":[130],"their":[131],"effectiveness,":[133],"overall":[135],"accuracy":[136,191,203],"time":[138,218,265],"spent":[139,266],"on":[140,254,267],"conventional":[146],"ImageQC-net":[149,153],"compared.":[151],"RESULTS:":[152],"body":[154,249],"part":[155],"classification":[156,184],"showed":[157],"excellent":[158],"performance":[159,185],"both":[161],"internal":[162,194],"(precision,":[163,173,199],"100%;":[164,200,202],"recall,":[165,189,201],"100%":[166,187],"accuracy,":[167,178],"100%)":[168,204],"external":[170,207],"verification":[171,195],"sets":[172],"99.8%;":[174],"recovery":[175],"rate,":[176],"99.8%,":[177],"99.8%).":[179],"addition,":[181],"achieved":[186,198],"precision,":[188],"set":[196],"dataset.":[208],"case":[211],"effects,":[214],"reduction":[216],"checking":[220],"artificial":[224],"intelligence":[225],"(AI)":[226],"support":[227],"analysts":[229],"1":[230],"2":[232],"(49.7%":[233],"48.3%,":[235],"respectively)":[236],"was":[237],"statistically":[238],"significant":[239],"(p":[240],"<":[241],"0.001).":[242],"CONCLUSIONS:":[243],"Comprehensive":[244],"techniques":[246],"identify":[248],"parts":[250],"CT":[255],"highly":[258],"accurate":[259],"can":[261],"significantly":[262],"reduce":[263],"checks.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}