{"id":"https://openalex.org/W2793324219","doi":"https://doi.org/10.1109/access.2018.2796632","title":"Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment","display_name":"Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2793324219","doi":"https://doi.org/10.1109/access.2018.2796632","mag":"2793324219"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2796632","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2796632","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2018.2796632","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100456083","display_name":"Zhicheng Zhang","orcid":"https://orcid.org/0000-0002-5333-1394"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhicheng Zhang","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037162494","display_name":"Guangzhe Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhe Dai","raw_affiliation_strings":["Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056242195","display_name":"Xiaokun Liang","orcid":"https://orcid.org/0000-0002-1207-5726"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokun Liang","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071143244","display_name":"Shaode Yu","orcid":"https://orcid.org/0000-0002-3412-2159"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaode Yu","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-3412-2159","affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033615240","display_name":"Leida Li","orcid":"https://orcid.org/0000-0001-9069-8796"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leida Li","raw_affiliation_strings":["School of Information and Control Engineering, Chinese University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Chinese University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086187557","display_name":"Yaoqin Xie","orcid":"https://orcid.org/0000-0002-1412-2354"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoqin Xie","raw_affiliation_strings":["Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100456083"],"corresponding_institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7829,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.8380041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"11534","last_page":"11543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.998199999332428,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6460418105125427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853391289710999},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5594482421875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5512056946754456},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48453253507614136},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4791664183139801},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4680578112602234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40725696086883545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34609830379486084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33970674872398376},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.087126225233078}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6460418105125427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853391289710999},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5594482421875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512056946754456},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48453253507614136},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4791664183139801},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4680578112602234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40725696086883545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34609830379486084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33970674872398376},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.087126225233078},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2796632","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2796632","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:034691ee987c4795880c4fd45309149e","is_oa":true,"landing_page_url":"https://doaj.org/article/034691ee987c4795880c4fd45309149e","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 6, Pp 11534-11543 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2796632","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2796632","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3409609555","display_name":null,"funder_award_id":"61471349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5120543324","display_name":null,"funder_award_id":"61379143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7944472674","display_name":null,"funder_award_id":"61771473","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G978049144","display_name":null,"funder_award_id":"JSGG20160229203812944","funder_id":"https://openalex.org/F4320335770","funder_display_name":"Shenzhen Technical Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320327583","display_name":"Beijing Center for Mathematics and Information Interdisciplinary Sciences","ror":null},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null},{"id":"https://openalex.org/F4320335770","display_name":"Shenzhen Technical Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W59160398","https://openalex.org/W621251951","https://openalex.org/W1499935599","https://openalex.org/W1538549859","https://openalex.org/W1644173899","https://openalex.org/W1849559129","https://openalex.org/W1970210396","https://openalex.org/W1971014006","https://openalex.org/W1978598038","https://openalex.org/W1980403059","https://openalex.org/W1982471090","https://openalex.org/W2004211009","https://openalex.org/W2014311997","https://openalex.org/W2030309005","https://openalex.org/W2035246484","https://openalex.org/W2035713052","https://openalex.org/W2052963734","https://openalex.org/W2055302232","https://openalex.org/W2058452916","https://openalex.org/W2061294304","https://openalex.org/W2065940750","https://openalex.org/W2066454956","https://openalex.org/W2067299502","https://openalex.org/W2069451332","https://openalex.org/W2069737080","https://openalex.org/W2070098233","https://openalex.org/W2085805928","https://openalex.org/W2092062478","https://openalex.org/W2093750826","https://openalex.org/W2099257318","https://openalex.org/W2102166818","https://openalex.org/W2111216493","https://openalex.org/W2133665775","https://openalex.org/W2133750711","https://openalex.org/W2141983208","https://openalex.org/W2143600423","https://openalex.org/W2145610477","https://openalex.org/W2146437028","https://openalex.org/W2148726775","https://openalex.org/W2150001120","https://openalex.org/W2154250199","https://openalex.org/W2155186111","https://openalex.org/W2163370434","https://openalex.org/W2165170333","https://openalex.org/W2167818248","https://openalex.org/W2168887049","https://openalex.org/W2296030939","https://openalex.org/W2298211015","https://openalex.org/W2303460237","https://openalex.org/W2320852756","https://openalex.org/W2344482072","https://openalex.org/W2398287370","https://openalex.org/W2463322449","https://openalex.org/W2466541558","https://openalex.org/W2551680566","https://openalex.org/W2556068545","https://openalex.org/W2564196066","https://openalex.org/W2579658395","https://openalex.org/W2606821140","https://openalex.org/W2610781289","https://openalex.org/W2618902759","https://openalex.org/W2621660136","https://openalex.org/W2734603456","https://openalex.org/W2746214548","https://openalex.org/W2753610474","https://openalex.org/W2766974875","https://openalex.org/W2800705832","https://openalex.org/W3098560717","https://openalex.org/W4233764193","https://openalex.org/W4249760698","https://openalex.org/W4252684946"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600","https://openalex.org/W1429902097"],"abstract_inverted_index":{"Natural":[0],"image":[1,28,250],"quality":[2,29,251],"assessment":[3,30],"(NIQA)":[4],"wins":[5],"increasing":[6],"attention,":[7],"while":[8,355],"NIQA":[9,24,245,263,279,472],"models":[10,246,264,451],"are":[11,51,111,206,270,440],"rarely":[12],"used":[13,125,447],"in":[14,85,100,167,223,303,317,330,342,363,486],"the":[15,23,34,46,60,77,80,93,97,105,119,138,145,147,220,259,273,408,411,430,460,469,484],"medical":[16,27],"community.":[17],"A":[18,172],"couple":[19],"of":[20,48,55,79,89,96,118,140,150,174,432,442,463],"studies":[21],"employ":[22],"methodologies":[25],"for":[26,137,429],"(MIQA),":[31],"but":[32],"building":[33],"benchmark":[35],"data":[36],"sets":[37],"necessitates":[38],"considerable":[39],"time":[40],"and":[41,92,108,126,192,236,268,272,278,301,315,338,340,378,390,422,438,473,475],"professional":[42],"skills.":[43],"In":[44,65,435],"particular,":[45],"characteristics":[47],"synthesized":[49],"distortions":[50],"different":[52,157,217,420],"from":[53,410],"those":[54],"clinical":[56],"distortions,":[57],"which":[58,73],"make":[59],"results":[61,280],"not":[62],"so":[63],"convincing.":[64],"clinic,":[66],"signal-to-noise":[67],"ratio":[68],"(SNR)":[69],"is":[70,74,123,153,252,281,417],"widely":[71],"used,":[72],"defined":[75],"as":[76,133,258,425,448],"quotient":[78],"mean":[81],"signal":[82,98],"intensity":[83,99],"measured":[84],"a":[86,134,426],"tissue":[87,158],"region":[88,103],"interest":[90],"(ROI)":[91],"standard":[94],"deviation":[95],"an":[101],"air":[102],"outside":[104],"imaged":[106],"object,":[107],"both":[109],"regions":[110],"outlined":[112],"by":[113,254],"specialists.":[114],"We":[115],"take":[116],"advantage":[117],"knowledge":[120],"that":[121,211,292],"SNR":[122,129,151,212,256,276,294,357,415,465],"routinely":[124],"concern":[127],"whether":[128,243],"measure":[130,152,416,466],"can":[131,247,423],"perform":[132,424],"baseline":[135,427],"metric":[136],"development":[139,431],"MIQA":[141,433,450],"algorithms.":[142,434],"To":[143],"address":[144],"issue,":[146],"inter-observer":[148],"reliability":[149],"investigated":[154],"regarding":[155],"to":[156,219,419,444,467,482],"ROIs":[159],"[white":[160],"matter":[161],"(WM);":[162],"cerebral":[163],"spinal":[164],"fluid":[165],"(CSF)]":[166],"magnetic":[168],"resonance":[169],"(MR)":[170],"images.":[171,456],"total":[173],"192":[175],"T":[176,182,188,195,304,318,331,343,364,379],"<sub":[177,183,189,196,200,231,287,305,319,324,332,344,350,365,373,380,385,393],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178,184,190,197,201,232,288,306,309,320,325,333,345,351,366,369,374,381,386,394,399],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[179,191,307,334,367,382],",":[180,186],"88":[181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[185,198,202,321,346],"76":[187],"55":[193],"contrast-enhanced":[194],"(T":[199],"C)":[203],"weighted":[204],"images":[205,311,322,335,348,371,383],"analyzed.":[207],"Statistical":[208],"analysis":[209,405],"indicates":[210],"values":[213,257,277,295,358],"show":[214],"consistency":[215],"between":[216,275,471],"observers":[218],"same":[221],"ROI":[222],"each":[224],"modality":[225],"(Wilcoxon":[226],"rank":[227],"sum":[228],"test,":[229],"p":[230,392],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">w</sub>":[233],"\u2265":[234,327,353,376,388],"0.11;":[235],"paired":[237],"sample":[238],"t-test,":[239],"pp":[240],"0.28).":[241],"Moreover,":[242],"off-the-shelf":[244],"predict":[248],"MR":[249,455],"considered":[253],"using":[255,464],"reference":[260],"scores.":[261],"Four":[262],"(BIQI,":[265],"BLIINDS-II,":[266],"BRISQUE,":[267],"NIQE)":[269],"evaluated,":[271],"correlation":[274,284,412],"evaluated.":[282],"Pearson":[283],"coefficient":[285],"(r":[286,323,349,372,384],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[289,326,352,375,387,395],")":[290],"shows":[291],"WM-based":[293],"correlates":[296,359],"well":[297,360],"with":[298,361],"BIQI,":[299],"BLIINDS-II":[300,329,362,439],"BRISQUE":[302,314,339,437],"<sup":[308,368,398],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">*</sup>":[310,370],"(rp":[312,336],"0.77),":[313],"NIQE":[316,341],"0.75),":[328],"0.67),":[337],"C":[347],"0.58),":[354],"CSF-based":[356],"0.64)":[377],"0.60),":[389],"all":[391],"<;":[396],"10":[397],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-4</sup>":[400],".":[401],"The":[402],"prediction":[403],"performance":[404],"further":[406,480],"proves":[407],"result":[409],"analysis.":[413],"Conclusively,":[414],"reliable":[418],"observations":[421],"indicator":[428],"general,":[436],"full":[441],"potential":[443],"be":[445,479],"conditionally":[446],"objective":[449],"toward":[452],"human":[453],"brain":[454],"This":[457],"paper":[458],"presents":[459],"first":[461],"attempt":[462],"bridge":[468],"gap":[470],"MIQA,":[474],"large-scale":[476],"experiments":[477],"should":[478],"conducted":[481],"confirm":[483],"conclusion":[485],"this":[487],"paper.":[488]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
