{"id":"https://openalex.org/W4404486497","doi":"https://doi.org/10.1109/tmi.2024.3501405","title":"Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment","display_name":"Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404486497","doi":"https://doi.org/10.1109/tmi.2024.3501405","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030237"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3501405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3501405","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030883042","display_name":"Guanghui Yue","orcid":"https://orcid.org/0000-0002-6761-8767"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghui Yue","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen, University Medical School, and also with the Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen, University Medical School, and also with the Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069035980","display_name":"Shaoping Zhang","orcid":"https://orcid.org/0000-0003-2969-7043"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Zhang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen, University Medical School, and also with the Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen, University Medical School, and also with the Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024931596","display_name":"Tianwei Zhou","orcid":"https://orcid.org/0000-0003-3533-7204"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianwei Zhou","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735301","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0002-4044-885X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033446854","display_name":"Weide Liu","orcid":"https://orcid.org/0000-0002-9855-4479"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weide Liu","raw_affiliation_strings":["Harvard Medical School, Boston, MA, USA","Harvard Medical School, Boston, Massachusetts, USA"],"affiliations":[{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen, University Medical School, and also with the Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen, University Medical School, and also with the Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]},{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030883042"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210145292"],"apc_list":null,"apc_paid":null,"fwci":2.3898,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89355338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"44","issue":"3","first_page":"1416","last_page":"1431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9884999990463257,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9884999990463257,"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/T13869","display_name":"Ocular and Laser Science Research","score":0.9323999881744385,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/image-quality","display_name":"Image quality","score":0.7253593802452087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6959009766578674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6160063743591309},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5981022119522095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5778206586837769},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5542280077934265},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.4280298054218292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.419620543718338},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16173046827316284},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.13070419430732727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10895752906799316}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7253593802452087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959009766578674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6160063743591309},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5981022119522095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5778206586837769},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5542280077934265},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.4280298054218292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.419620543718338},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16173046827316284},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.13070419430732727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10895752906799316},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"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":"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3501405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3501405","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40030237","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030237","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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2511611719","display_name":null,"funder_award_id":"2024A1515030278","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6370623351","display_name":null,"funder_award_id":"62371305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1969789239","https://openalex.org/W1973175507","https://openalex.org/W1994616650","https://openalex.org/W1997824816","https://openalex.org/W2005772228","https://openalex.org/W2036018570","https://openalex.org/W2051596736","https://openalex.org/W2066168964","https://openalex.org/W2155655721","https://openalex.org/W2194775991","https://openalex.org/W2317836139","https://openalex.org/W2527269634","https://openalex.org/W2531409750","https://openalex.org/W2536210040","https://openalex.org/W2571611310","https://openalex.org/W2755990594","https://openalex.org/W2801606501","https://openalex.org/W2804694216","https://openalex.org/W2891212327","https://openalex.org/W2891997377","https://openalex.org/W2897272951","https://openalex.org/W2905544033","https://openalex.org/W2930568425","https://openalex.org/W2962579127","https://openalex.org/W2963446712","https://openalex.org/W2999847839","https://openalex.org/W3004352908","https://openalex.org/W3013394309","https://openalex.org/W3035719652","https://openalex.org/W3036319923","https://openalex.org/W3093662982","https://openalex.org/W3105164497","https://openalex.org/W3112383662","https://openalex.org/W3128220181","https://openalex.org/W3138516171","https://openalex.org/W3153351689","https://openalex.org/W3158309168","https://openalex.org/W3175517129","https://openalex.org/W3191934798","https://openalex.org/W3210514413","https://openalex.org/W3211317523","https://openalex.org/W4210549028","https://openalex.org/W4214745154","https://openalex.org/W4226213342","https://openalex.org/W4246193833","https://openalex.org/W4280488276","https://openalex.org/W4285166918","https://openalex.org/W4286543778","https://openalex.org/W4287546116","https://openalex.org/W4294690817","https://openalex.org/W4306377620","https://openalex.org/W4309778771","https://openalex.org/W4316659987","https://openalex.org/W4319336354","https://openalex.org/W4322706741","https://openalex.org/W4378189098","https://openalex.org/W4386076227","https://openalex.org/W4387068132","https://openalex.org/W4389252672","https://openalex.org/W4390534244","https://openalex.org/W4392667279","https://openalex.org/W6684191040","https://openalex.org/W6776700526","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W4387265590","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W1995904975","https://openalex.org/W1523500768","https://openalex.org/W3032712071","https://openalex.org/W4389019322","https://openalex.org/W2517629151"],"abstract_inverted_index":{"Captured":[0],"retinal":[1,19,66,179],"images":[2,8,67,104],"vary":[3],"greatly":[4],"in":[5,68,155],"quality.":[6],"Low-quality":[7],"increase":[9],"the":[10,31,43,63,76,90,102,114,122,158,162,167,209],"risk":[11],"of":[12,36,65,157,164,182],"misdiagnosis.":[13],"This":[14,51],"motivates":[15],"to":[16,105,125],"design":[17],"effective":[18],"image":[20,32],"quality":[21,49,64,138,189],"assessment":[22],"(RIQA)":[23],"methods.":[24],"Current":[25],"deep":[26],"learning-based":[27],"methods":[28],"usually":[29],"classify":[30],"into":[33],"three":[34],"levels":[35],"\"Good\",":[37],"\"Usable\",":[38],"and":[39,71,112,148,198],"\"Reject\",":[40],"while":[41],"ignoring":[42],"quantitative":[44,72,149,168],"feedback":[45],"for":[46,146,166,208],"more":[47],"detailed":[48],"scores.":[50],"study":[52],"proposes":[53],"a":[54,95,118,131,173,187],"unified":[55],"RIQA":[56,210],"framework,":[57],"named":[58],"QAC-Net,":[59],"that":[60,99,136,203],"can":[61],"evaluate":[62],"both":[69],"qualitative":[70,147],"manners.":[73],"To":[74],"improve":[75,126],"prediction":[77],"accuracy,":[78],"QAC-Net":[79,205],"focuses":[80],"on":[81,196],"extracting":[82],"discriminative":[83],"features":[84,108],"by":[85],"using":[86],"two":[87],"strategies.":[88],"On":[89,121],"one":[91],"hand,":[92,124],"it":[93,129],"adopts":[94],"pyramid":[96],"network":[97],"structure":[98],"simultaneously":[100],"inputs":[101],"scaled":[103],"learn":[106],"quality-aware":[107,132],"at":[109],"different":[110,141,153],"scales":[111],"purify":[113],"feature":[115,127],"representation":[116],"through":[117,191],"consistency":[119],"loss.":[120],"other":[123],"representation,":[128],"utilizes":[130],"contrastive":[133],"(QAC)":[134],"loss":[135],"considers":[137],"relationships":[139],"between":[140],"images.":[142],"The":[143],"QAC":[144],"losses":[145],"evaluation":[150,169],"tasks":[151,211],"have":[152],"forms":[154],"view":[156],"task":[159],"differences.":[160],"Considering":[161],"shortage":[163],"datasets":[165,201],"task,":[170],"we":[171],"construct":[172],"dataset":[174],"with":[175,186,212],"2,300":[176],"authentically":[177],"distorted":[178],"images,":[180],"each":[181],"which":[183],"is":[184,206],"annotated":[185],"numerical":[188],"score":[190],"subjective":[192],"experiments.":[193],"Experimental":[194],"results":[195],"public":[197],"our":[199,204],"constructed":[200],"show":[202],"competent":[207],"considerable":[213],"performance.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
