{"id":"https://openalex.org/W3164113276","doi":"https://doi.org/10.1109/isbi48211.2021.9433956","title":"Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF)","display_name":"Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF)","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164113276","doi":"https://doi.org/10.1109/isbi48211.2021.9433956","mag":"3164113276","pmid":"https://pubmed.ncbi.nlm.nih.gov/38464881"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10924672/pdf/nihms-1968733.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103250520","display_name":"Wenxi Yu","orcid":"https://orcid.org/0000-0003-4893-9618"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenxi Yu","raw_affiliation_strings":["Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, USA","Department of Biostatistics, University of California, Los Angeles, USA","Department of Radiological Sciences, University of California, Los Angeles, USA","University of California, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Biostatistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Radiological Sciences, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060348530","display_name":"Hua Zhou","orcid":"https://orcid.org/0000-0003-1320-7118"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Zhou","raw_affiliation_strings":["Department of Biostatistics, University of California, Los Angeles, USA","University of California, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049494501","display_name":"Youngwon Choi","orcid":"https://orcid.org/0000-0003-1120-6218"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngwon Choi","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, South Korea","Seoul National University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045343022","display_name":"Jonathan Goldin","orcid":"https://orcid.org/0000-0003-3007-9947"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan G.Goldin","raw_affiliation_strings":["Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, USA","University of California, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066683966","display_name":"Grace Hyun J. Kim","orcid":"https://orcid.org/0000-0003-1225-3489"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grace Hyun J. Kim","raw_affiliation_strings":["Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, USA","Department of Biostatistics, University of California, Los Angeles, USA","Department of Radiological Sciences, University of California, Los Angeles, USA","University of California, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Biostatistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Radiological Sciences, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4375,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64185391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2021","issue":null,"first_page":"1777","last_page":"1780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10870","display_name":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","score":0.9940999746322632,"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/T10870","display_name":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","score":0.9940999746322632,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9718000292778015,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/idiopathic-pulmonary-fibrosis","display_name":"Idiopathic pulmonary fibrosis","score":0.8154996633529663},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5076171159744263},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.468456506729126},{"id":"https://openalex.org/keywords/pulmonary-fibrosis","display_name":"Pulmonary fibrosis","score":0.424103319644928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4218488335609436},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2630261182785034},{"id":"https://openalex.org/keywords/fibrosis","display_name":"Fibrosis","score":0.21912351250648499},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.15768390893936157},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06257575750350952},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.04425036907196045}],"concepts":[{"id":"https://openalex.org/C2778341716","wikidata":"https://www.wikidata.org/wiki/Q2290446","display_name":"Idiopathic pulmonary fibrosis","level":3,"score":0.8154996633529663},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5076171159744263},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.468456506729126},{"id":"https://openalex.org/C2781244666","wikidata":"https://www.wikidata.org/wiki/Q32446","display_name":"Pulmonary fibrosis","level":3,"score":0.424103319644928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4218488335609436},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2630261182785034},{"id":"https://openalex.org/C2780559512","wikidata":"https://www.wikidata.org/wiki/Q605709","display_name":"Fibrosis","level":2,"score":0.21912351250648499},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.15768390893936157},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06257575750350952},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.04425036907196045}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:38464881","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38464881","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10924672","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10924672","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10924672/pdf/nihms-1968733.pdf","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":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10924672","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10924672","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10924672/pdf/nihms-1968733.pdf","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":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2196735445","display_name":null,"funder_award_id":"R35 GM141798","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4344530147","display_name":null,"funder_award_id":"HG006139","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6001573003","display_name":null,"funder_award_id":"GM053275","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G7142552990","display_name":null,"funder_award_id":"R21 HL140465","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7602525194","display_name":null,"funder_award_id":"GM053275","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8009928313","display_name":null,"funder_award_id":"R01 GM053275","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G950618099","display_name":null,"funder_award_id":"R01 HG006139","funder_id":"https://openalex.org/F4320337348","funder_display_name":"National Human Genome Research Institute"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337348","display_name":"National Human Genome Research Institute","ror":"https://ror.org/00baak391"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3164113276.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W203879801","https://openalex.org/W1902237438","https://openalex.org/W2018809578","https://openalex.org/W2777186991","https://openalex.org/W2787420051","https://openalex.org/W2888358068","https://openalex.org/W2945988001","https://openalex.org/W2963403868","https://openalex.org/W2981137547","https://openalex.org/W4385245566","https://openalex.org/W6608254297","https://openalex.org/W6739901393","https://openalex.org/W6748666111"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3014745437","https://openalex.org/W4309181476","https://openalex.org/W2743918347"],"abstract_inverted_index":{"We":[0,117],"propose":[1],"a":[2,10,211],"Multi-scale,":[3],"domain":[4,220],"knowledge-Guided":[5],"Attention":[6],"model":[7,33,126,141,180,236],"(MGA-Net)":[8],"for":[9,203,210],"weakly":[11,212],"supervised":[12,213],"problem":[13],"-":[14],"disease":[15,70],"diagnosis":[16,32,125,140],"with":[17,60,67,108],"only":[18,152],"coarse":[19],"scan-level":[20],"labels.":[21],"The":[22,53,93],"use":[23],"of":[24,39,201,226],"guided":[25,153],"attention":[26,121,136,161,195],"models":[27],"encourages":[28],"the":[29,37,99,102,123,138,159,164,168,179,182,193,199,218,224,227],"deep":[30],"learning-based":[31],"to":[34,57,222],"focus":[35],"on":[36,198],"area":[38,100],"interests":[40,202],"(in":[41],"our":[42],"case,":[43],"lung":[44,69,165],"parenchyma),":[45],"at":[46],"different":[47],"resolutions,":[48],"in":[49,229],"an":[50,73,230],"end-to-end":[51,231],"manner.":[52],"research":[54],"interest":[55],"is":[56],"diagnose":[58],"subjects":[59,66],"idiopathic":[61],"pulmonary":[62],"fibrosis":[63],"(IPF)":[64],"among":[65,185],"interstitial":[68],"(ILD)":[71],"using":[72,112],"axial":[74],"chest":[75],"high":[76],"resolution":[77,157,177],"computed":[78],"tomography":[79],"(HRCT)":[80],"scan.":[81],"Our":[82,206],"dataset":[83],"contains":[84],"279":[85],"IPF":[86,124,139],"patients":[87],"and":[88,175,192,238],"423":[89],"non-IPF":[90],"ILD":[91],"patients.":[92],"network's":[94],"performance":[95,144],"was":[96],"evaluated":[97],"by":[98,133],"under":[101],"receiver":[103],"operating":[104],"characteristic":[105],"curve":[106],"(AUC)":[107],"standard":[109],"errors":[110],"(SE)":[111],"stratified":[113],"five-fold":[114],"cross":[115],"validation.":[116],"observe":[118],"that":[119],"without":[120],"modules,":[122],"performs":[127],"unsatisfactorily":[128],"(AUC\u00b1SE":[129,145],"=0.690":[130],"\u00b1":[131],"0.194);":[132],"including":[134,151,172],"unguided":[135],"module,":[137],"reaches":[142,181],"satisfactory":[143],"=0.956\u00b10.040),":[146],"but":[147,167],"lack":[148],"explainability;":[149],"when":[150,171],"high-":[154,174],"or":[155],"medium-":[156,176],"attention,":[158,178],"learned":[160],"maps":[162,196],"highlight":[163],"areas":[166],"AUC":[169,184],"decreases;":[170],"both":[173,235],"highest":[183],"all":[186],"experiments":[187],"(AUC\u00b1":[188],"SE":[189],"=0.971":[190],"\u00b10.021)":[191],"estimated":[194],"concentrate":[197],"regions":[200],"this":[204],"task.":[205],"results":[207],"suggest":[208],"that,":[209],"task,":[214],"MGA-Net":[215],"can":[216],"utilize":[217],"population-level":[219],"knowledge":[221],"guide":[223],"training":[225],"network":[228],"manner,":[232],"which":[233],"increases":[234],"accuracy":[237],"explainability.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
