{"id":"https://openalex.org/W4385489668","doi":"https://doi.org/10.1109/mmul.2023.3300980","title":"Deep Blind Chest X-Ray Image Quality Assessment With Region-of-Interest-Guided Attention","display_name":"Deep Blind Chest X-Ray Image Quality Assessment With Region-of-Interest-Guided Attention","publication_year":2023,"publication_date":"2023-08-02","ids":{"openalex":"https://openalex.org/W4385489668","doi":"https://doi.org/10.1109/mmul.2023.3300980"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2023.3300980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2023.3300980","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5103282547","display_name":"Jianqiu Jin","orcid":"https://orcid.org/0000-0002-1068-1351"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiu Jin","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1068-1351","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420362","display_name":"Xiaoming Chen","orcid":"https://orcid.org/0000-0002-7503-3021"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Chen","raw_affiliation_strings":["Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7503-3021","affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033791342","display_name":"Meng Yu","orcid":"https://orcid.org/0000-0001-6009-3200"},"institutions":[{"id":"https://openalex.org/I4210131061","display_name":"Zhejiang Provincial People's Hospital","ror":"https://ror.org/03k14e164","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131061"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Meng","raw_affiliation_strings":["Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-6009-3200","affiliations":[{"raw_affiliation_string":"Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Zhejiang, China","institution_ids":["https://openalex.org/I4210131061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059748507","display_name":"Xiangyang Gong","orcid":"https://orcid.org/0000-0002-2785-3308"},"institutions":[{"id":"https://openalex.org/I4210131061","display_name":"Zhejiang Provincial People's Hospital","ror":"https://ror.org/03k14e164","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131061"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Gong","raw_affiliation_strings":["Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-2785-3308","affiliations":[{"raw_affiliation_string":"Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Zhejiang, China","institution_ids":["https://openalex.org/I4210131061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015699943","display_name":"Bailin Yang","orcid":"https://orcid.org/0000-0003-1754-5595"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailin Yang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1754-5595","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045843249","display_name":"Yuk Ying Chung","orcid":"https://orcid.org/0000-0002-3158-9650"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuk Ying Chung","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3158-9650","affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4546,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.692534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":"4","first_page":"36","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9950000047683716,"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":0.8591474294662476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6995297074317932},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6658662557601929},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.657217264175415},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5662562847137451},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.530636727809906},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46457844972610474},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.45629382133483887},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4560305178165436},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.45356082916259766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4470939040184021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4008059501647949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8591474294662476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6995297074317932},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6658662557601929},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.657217264175415},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5662562847137451},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.530636727809906},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46457844972610474},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.45629382133483887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4560305178165436},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.45356082916259766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4470939040184021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4008059501647949},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2023.3300980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2023.3300980","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6955195448","display_name":null,"funder_award_id":"4222003","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7885347620","display_name":null,"funder_award_id":"62177001","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W2102166818","https://openalex.org/W2106524667","https://openalex.org/W2163370434","https://openalex.org/W2342731943","https://openalex.org/W2563786098","https://openalex.org/W2618530766","https://openalex.org/W2793894139","https://openalex.org/W2891639616","https://openalex.org/W2896261175","https://openalex.org/W3010973018","https://openalex.org/W3036239693","https://openalex.org/W3127235954","https://openalex.org/W3176592499","https://openalex.org/W4224267514"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W4323287533"],"abstract_inverted_index":{"The":[0],"image":[1,25,80],"quality":[2,26,38],"assessment":[3],"(IQA)":[4],"for":[5,15,34,95,116],"medical":[6,40,61,79],"images":[7,41],"has":[8],"been":[9],"challenging":[10],"due":[11],"to":[12,91],"their":[13],"usage":[14],"diagnostic":[16,44,117],"purposes.":[17,118],"Traditional":[18],"convolutional-neural-network-based":[19],"IQA":[20,62,69,109,123,126],"models":[21],"usually":[22],"assess":[23],"the":[24,36,43,96,104,121,125,129],"on":[27],"a":[28,55,65,77],"global":[29],"scale,":[30],"which":[31],"is":[32,132],"unsuitable":[33],"inferring":[35],"local":[37],"of":[39,128],"from":[42],"attention":[45,58,68,108,115],"perspective.":[46],"To":[47],"alleviate":[48],"this":[49],"problem,":[50],"we":[51,73],"design":[52],"and":[53,63],"introduce":[54],"region-of-interest":[56],"(ROI)-guided":[57],"mechanism":[59],"in":[60],"propose":[64],"novel":[66],"dual":[67,107],"model.":[70,98],"In":[71],"addition,":[72],"have":[74],"also":[75],"constructed":[76],"diagnosis-oriented":[78],"dataset":[81],"containing":[82],"1132":[83],"images,":[84],"all":[85],"rated":[86],"by":[87,139],"experienced":[88,140],"radiologists":[89],"subjectively,":[90],"allow":[92],"effective":[93],"training":[94],"proposed":[97,105,130],"Our":[99],"experimental":[100],"results":[101],"show":[102],"that":[103],"ROI-guided":[106],"model":[110,131],"can":[111],"well":[112],"reflect":[113],"radiologists\u2019":[114],"Compared":[119],"with":[120,136],"state-of-the-art":[122],"models,":[124],"output":[127],"significantly":[133],"more":[134],"consistent":[135],"subjective":[137],"evaluation":[138],"radiologists.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}