{"id":"https://openalex.org/W4313332596","doi":"https://doi.org/10.1088/2632-2153/aca87d","title":"No-reference perceptual CT image quality assessment based on a self-supervised learning framework","display_name":"No-reference perceptual CT image quality assessment based on a self-supervised learning framework","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4313332596","doi":"https://doi.org/10.1088/2632-2153/aca87d"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/aca87d","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca87d","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca87d/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca87d/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082217833","display_name":"Wonkyeong Lee","orcid":"https://orcid.org/0009-0007-1758-9738"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonkyeong Lee","raw_affiliation_strings":["Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049520163","display_name":"Eunbyeol Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunbyeol Cho","raw_affiliation_strings":["Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101539587","display_name":"Wonjin Kim","orcid":"https://orcid.org/0000-0003-0121-0352"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjin Kim","raw_affiliation_strings":["Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007211486","display_name":"Hyebin Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyebin Choi","raw_affiliation_strings":["Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072148707","display_name":"Kyongmin Sarah Beck","orcid":"https://orcid.org/0000-0002-9262-1001"},"institutions":[{"id":"https://openalex.org/I4210092034","display_name":"St. Mary's Hospital","ror":"https://ror.org/00m860944","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210092034"]},{"id":"https://openalex.org/I4210160144","display_name":"The Catholic University of Korea Seoul St. Mary's Hospital","ror":"https://ror.org/056cn0e37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210160144","https://openalex.org/I4405260414","https://openalex.org/I87111246"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Kyongmin Sarah Beck","raw_affiliation_strings":["Department of Radiology, Seoul St. Mary\u2019s Hospital, College of Medicine, the Catholic University of Republic of Korea, Seoul, Republic of Korea","Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Republic of Korea, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Seoul St. Mary\u2019s Hospital, College of Medicine, the Catholic University of Republic of Korea, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210092034","https://openalex.org/I4210160144"]},{"raw_affiliation_string":"Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Republic of Korea, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210160144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101631126","display_name":"Hyun Jung Yoon","orcid":"https://orcid.org/0000-0002-8909-1185"},"institutions":[{"id":"https://openalex.org/I4210101595","display_name":"Veterans Health Service Medical Center","ror":"https://ror.org/00xhz2q61","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210101595","https://openalex.org/I4210129722"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Jung Yoon","raw_affiliation_strings":["Department of Radiology, Veterans Health Service Medical Center, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Veterans Health Service Medical Center, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210101595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103089896","display_name":"Jongduk Baek","orcid":"https://orcid.org/0000-0002-2532-5413"},"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":"Jongduk Baek","raw_affiliation_strings":["Department of Artificial Intelligence, Yonsei University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083618878","display_name":"Jang\u2010Hwan Choi","orcid":"https://orcid.org/0000-0001-9273-034X"},"institutions":[{"id":"https://openalex.org/I138925566","display_name":"Ewha Womans University","ror":"https://ror.org/053fp5c05","country_code":"KR","type":"education","lineage":["https://openalex.org/I138925566"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jang-Hwan Choi","raw_affiliation_strings":["Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9273-034X","affiliations":[{"raw_affiliation_string":"Division of Mechanical and Biomedical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I138925566"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007211486","https://openalex.org/A5049520163","https://openalex.org/A5083618878"],"corresponding_institution_ids":["https://openalex.org/I138925566"],"apc_list":{"value":2255,"currency":"USD","value_usd":2255},"apc_paid":{"value":2255,"currency":"USD","value_usd":2255},"fwci":1.5873,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.82021984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"045033","last_page":"045033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9994999766349792,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9994999766349792,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9987000226974487,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/computer-science","display_name":"Computer science","score":0.7556341886520386},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.718085527420044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699506640434265},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5045269727706909},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4939444661140442},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.44806963205337524},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4477081298828125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4455745220184326},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42550474405288696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3841296434402466},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14432844519615173},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.1252266764640808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556341886520386},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.718085527420044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699506640434265},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5045269727706909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4939444661140442},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.44806963205337524},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4477081298828125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4455745220184326},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42550474405288696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3841296434402466},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14432844519615173},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.1252266764640808},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/2632-2153/aca87d","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca87d","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca87d/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/aca87d","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca87d","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca87d/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1815291625","display_name":null,"funder_award_id":"NRF-2022R1A2C1092072","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2439843136","display_name":null,"funder_award_id":"RS-2020-KD000016","funder_id":"https://openalex.org/F4320318847","funder_display_name":"Korea Medical Device Development Fund"},{"id":"https://openalex.org/G2551024773","display_name":null,"funder_award_id":"21YR2400","funder_id":"https://openalex.org/F4320322093","funder_display_name":"Electronics and Telecommunications Research Institute"},{"id":"https://openalex.org/G3446684641","display_name":null,"funder_award_id":"1711174276","funder_id":"https://openalex.org/F4320318847","funder_display_name":"Korea Medical Device Development Fund"},{"id":"https://openalex.org/G5269309178","display_name":null,"funder_award_id":"Project Number: 1711174276","funder_id":"https://openalex.org/F4320318847","funder_display_name":"Korea Medical Device Development Fund"},{"id":"https://openalex.org/G6140920668","display_name":null,"funder_award_id":"2020R1A4A1016619","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6694065565","display_name":null,"funder_award_id":"NRF-2022M3A9I2017587","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7682153071","display_name":null,"funder_award_id":"2022R1A2C1092072","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7846080455","display_name":null,"funder_award_id":"NRF-2022M3A9I2017587","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8766235343","display_name":null,"funder_award_id":"2022M3A9I2017587","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320318847","display_name":"Korea Medical Device Development Fund","ror":"https://ror.org/03g98ap29"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322014","display_name":"Ministry of Food and Drug Safety","ror":"https://ror.org/01f7dp456"},{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"},{"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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313332596.pdf","grobid_xml":"https://content.openalex.org/works/W4313332596.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1861492603","https://openalex.org/W1964859077","https://openalex.org/W1974013408","https://openalex.org/W1982075130","https://openalex.org/W1982471090","https://openalex.org/W2009600292","https://openalex.org/W2027068461","https://openalex.org/W2041282815","https://openalex.org/W2046119925","https://openalex.org/W2059717393","https://openalex.org/W2067829201","https://openalex.org/W2083610878","https://openalex.org/W2099274934","https://openalex.org/W2100533308","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2144468361","https://openalex.org/W2154744699","https://openalex.org/W2159590120","https://openalex.org/W2161907179","https://openalex.org/W2167403983","https://openalex.org/W2170062168","https://openalex.org/W2171349048","https://openalex.org/W2194775991","https://openalex.org/W2565312867","https://openalex.org/W2768814045","https://openalex.org/W2790182972","https://openalex.org/W2792557703","https://openalex.org/W2798581339","https://openalex.org/W2804106499","https://openalex.org/W2962785568","https://openalex.org/W2964241181","https://openalex.org/W2972491395","https://openalex.org/W2973306787","https://openalex.org/W2991570231","https://openalex.org/W3000953045","https://openalex.org/W3109016160","https://openalex.org/W3154224604","https://openalex.org/W3183401488","https://openalex.org/W3200176688","https://openalex.org/W3213557328","https://openalex.org/W6634589695","https://openalex.org/W6639102338","https://openalex.org/W6645801888","https://openalex.org/W6687483927","https://openalex.org/W6746081833","https://openalex.org/W6746085279","https://openalex.org/W6748197083","https://openalex.org/W6750455046","https://openalex.org/W6786416703","https://openalex.org/W6796827441"],"related_works":["https://openalex.org/W2015071354","https://openalex.org/W2047952491","https://openalex.org/W2062195871","https://openalex.org/W2073031339","https://openalex.org/W2144778520","https://openalex.org/W2061271245","https://openalex.org/W4389742773","https://openalex.org/W2365285804","https://openalex.org/W2604710047","https://openalex.org/W2620851791"],"abstract_inverted_index":{"Abstract":[0],"Accurate":[1],"image":[2,13,36,60,180],"quality":[3,156,181,204],"assessment":[4],"(IQA)":[5],"is":[6,30,63,110,174,208],"crucial":[7],"to":[8,46,186,211],"optimize":[9],"computed":[10],"tomography":[11],"(CT)":[12],"protocols":[14],"while":[15],"keeping":[16],"the":[17,26,66,74,89,154,193,196],"radiation":[18],"dose":[19,188],"as":[20,22,65,182],"low":[21],"reasonably":[23],"achievable.":[24],"In":[25,87],"medical":[27,70,77],"domain,":[28],"IQA":[29,51,78,104,108,118,148,200],"based":[31],"on":[32,59,163],"how":[33],"well":[34],"an":[35,121],"provides":[37],"a":[38,48,99,141],"useful":[39],"and":[40,165,202,215],"efficient":[41],"presentation":[42],"necessary":[43],"for":[44,69,126],"physicians":[45],"make":[47],"diagnosis.":[49],"Moreover,":[50,190],"results":[52,198],"should":[53],"be":[54],"consistent":[55],"with":[56,135,220],"radiologists\u2019":[57,96,203],"opinions":[58,97],"quality,":[61],"which":[62],"accepted":[64],"gold":[67],"standard":[68],"IQA.":[71,86],"As":[72],"such,":[73],"goals":[75],"of":[76,84,91,157,176,199],"are":[79],"greatly":[80],"different":[81],"from":[82],"those":[83],"natural":[85],"addition,":[88],"lack":[90],"pristine":[92],"reference":[93],"images":[94,169],"or":[95],"in":[98,113],"real-time":[100],"clinical":[101,114,164],"environment":[102],"makes":[103],"challenging.":[105],"Thus,":[106],"no-reference":[107],"(NR-IQA)":[109],"more":[111],"desirable":[112],"settings":[115],"than":[116],"full-reference":[117],"(FR-IQA).":[119],"Leveraging":[120],"innovative":[122],"self-supervised":[123],"training":[124],"strategy":[125],"object":[127],"detection":[128],"models":[129],"by":[130],"detecting":[131],"virtually":[132],"inserted":[133],"objects":[134],"geometrically":[136],"simple":[137],"forms,":[138],"we":[139],"propose":[140],"novel":[142],"NR-IQA":[143,213],"method,":[144],"named":[145],"deep":[146],"detector":[147],"(D2IQA),":[149],"that":[150,171],"can":[151],"automatically":[152],"calculate":[153],"quantitative":[155],"CT":[158,168],"images.":[159],"Extensive":[160],"experimental":[161],"evaluations":[162],"anthropomorphic":[166],"phantom":[167],"demonstrate":[170],"our":[172,206],"D2IQA":[173,207],"capable":[175],"robustly":[177],"computing":[178],"perceptual":[179],"it":[183],"varies":[184],"according":[185],"relative":[187],"levels.":[189],"when":[191],"considering":[192],"correlation":[194],"between":[195],"evaluation":[197],"metrics":[201,214],"scores,":[205],"marginally":[209],"superior":[210],"other":[212],"even":[216],"shows":[217],"performance":[218],"competitive":[219],"FR-IQA":[221],"metrics.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}