{"id":"https://openalex.org/W2933473706","doi":"https://doi.org/10.1109/tip.2020.2992079","title":"Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks","display_name":"Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2933473706","doi":"https://doi.org/10.1109/tip.2020.2992079","mag":"2933473706","pmid":"https://pubmed.ncbi.nlm.nih.gov/32396089"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2992079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2992079","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.03639","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Siyuan Liu","orcid":"https://orcid.org/0000-0002-0946-4683"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Siyuan Liu","raw_affiliation_strings":["Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","University of North Carolina at Chapel Hill, Chapel Hill, USA"],"raw_orcid":"https://orcid.org/0000-0002-0946-4683","affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kim-Han Thung","orcid":"https://orcid.org/0000-0003-1379-2185"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kim-Han Thung","raw_affiliation_strings":["Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","University of North Carolina at Chapel Hill, Chapel Hill, USA"],"raw_orcid":"https://orcid.org/0000-0003-1379-2185","affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weili Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weili Lin","raw_affiliation_strings":["Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","University of North Carolina at Chapel Hill, Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pew-Thian Yap","orcid":"https://orcid.org/0000-0003-1489-2102"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pew-Thian Yap","raw_affiliation_strings":["Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","University of North Carolina at Chapel Hill, Chapel Hill, USA"],"raw_orcid":"https://orcid.org/0000-0003-1489-2102","affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","Korea University, Seoul, South Korea","University of North Carolina at Chapel Hill, Chapel Hill, USA"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]},{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"],"apc_list":null,"apc_paid":null,"fwci":0.9812,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.77538298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"7697","last_page":"7706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.32899999618530273,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.32899999618530273,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.31189998984336853,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.06310000270605087,"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/residual","display_name":"Residual","score":0.7566999793052673},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.7077999711036682},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6402000188827515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5734999775886536},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5339999794960022},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.5315999984741211},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4941999912261963},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4487000107765198},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44519999623298645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4415000081062317}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7566999793052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7257000207901001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182999849319458},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7077999711036682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6402000188827515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5734999775886536},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5339999794960022},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.5315999984741211},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4941999912261963},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4487000107765198},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4165000021457672},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3598000109195709},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.3483000099658966},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.31839999556541443},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C3019060180","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automated method","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2984485829","wikidata":"https://www.wikidata.org/wiki/Q100766421","display_name":"Noise level","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.25609999895095825},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2020.2992079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2992079","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:32396089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32396089","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1904.03639","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.03639","pdf_url":"https://arxiv.org/pdf/1904.03639","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:europepmc.org:7460450","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7648726","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7648726","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7648726","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.03639","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.03639","pdf_url":"https://arxiv.org/pdf/1904.03639","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1478208937","display_name":null,"funder_award_id":"AG053867","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1711961471","display_name":null,"funder_award_id":"MH104324","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2771430967","display_name":null,"funder_award_id":"MH117943","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6905729993","display_name":null,"funder_award_id":"EB006733","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7962791881","display_name":null,"funder_award_id":"MH110274","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1506037854","https://openalex.org/W1596345407","https://openalex.org/W1971155098","https://openalex.org/W1980403059","https://openalex.org/W1981572319","https://openalex.org/W1991329314","https://openalex.org/W1995059177","https://openalex.org/W2061513831","https://openalex.org/W2105786560","https://openalex.org/W2107498895","https://openalex.org/W2142677209","https://openalex.org/W2153233077","https://openalex.org/W2162692770","https://openalex.org/W2167460663","https://openalex.org/W2170947705","https://openalex.org/W2194775991","https://openalex.org/W2286686646","https://openalex.org/W2469003029","https://openalex.org/W2531409750","https://openalex.org/W2563786098","https://openalex.org/W2565912818","https://openalex.org/W2592335154","https://openalex.org/W2613701849","https://openalex.org/W2620818159","https://openalex.org/W2677132013","https://openalex.org/W2754887662","https://openalex.org/W2761499647","https://openalex.org/W2767836774","https://openalex.org/W2768340063","https://openalex.org/W2771414833","https://openalex.org/W2793631099","https://openalex.org/W2807793257","https://openalex.org/W2891156870","https://openalex.org/W2901255831","https://openalex.org/W2903193781","https://openalex.org/W2905544033","https://openalex.org/W2911964244","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963975576","https://openalex.org/W2964065910","https://openalex.org/W2964292098","https://openalex.org/W2971622202","https://openalex.org/W4242526859","https://openalex.org/W6633572216","https://openalex.org/W6678280073","https://openalex.org/W6691441656","https://openalex.org/W6694260854"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,90,108],"introduce":[4],"an":[5,80,99],"image":[6,81,96],"quality":[7,101],"assessment":[8],"(IQA)":[9],"method":[10,43],"for":[11,52],"pediatric":[12],"T1-":[13],"and":[14,30,54,70,76,114],"T2-weighted":[15],"MR":[16],"images.":[17],"IQA":[18,140],"is":[19,55],"first":[20],"performed":[21],"slice-wise":[22],"using":[23,39,124],"a":[24,46,84],"nonlocal":[25],"residual":[26],"neural":[27],"network":[28],"(NR-Net)":[29],"then":[31,109],"volume-wise":[32],"by":[33,111],"agglomerating":[34],"the":[35,71],"slice":[36,97],"QA":[37],"results":[38,118],"random":[40],"forest.":[41],"Our":[42],"requires":[44],"only":[45,125],"small":[47,85],"amount":[48],"of":[49,74,87,127,134],"quality-annotated":[50],"images":[51],"training":[53],"designed":[56],"to":[57,60,67,93],"be":[58],"robust":[59],"annotation":[61],"noise":[62],"that":[63,120],"might":[64],"occur":[65],"due":[66],"rater":[68],"errors":[69],"inevitable":[72],"mix":[73],"good":[75],"bad":[77],"slices":[78],"in":[79],"volume.":[82],"Using":[83],"set":[86],"quality-assessed":[88],"images,":[89],"pre-train":[91],"NR-Net":[92],"annotate":[94],"each":[95],"with":[98,141],"initial":[100],"rating":[102],"(i.e.,":[103],"pass,":[104],"questionable,":[105],"fail),":[106],"which":[107],"refine":[110],"semi-supervised":[112],"learning":[113],"iterative":[115],"self-training.":[116],"Experimental":[117],"demonstrate":[119],"our":[121],"method,":[122],"trained":[123],"samples":[126],"modest":[128],"size,":[129],"exhibit":[130],"great":[131],"generalizability,":[132],"capable":[133],"real-time":[135],"(milliseconds":[136],"per":[137],"volume)":[138],"large-scale":[139],"nearperfect":[142],"accuracy.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-04-11T00:00:00"}
