{"id":"https://openalex.org/W4285598683","doi":"https://doi.org/10.1109/tmi.2022.3217218","title":"Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays","display_name":"Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4285598683","doi":"https://doi.org/10.1109/tmi.2022.3217218","pmid":"https://pubmed.ncbi.nlm.nih.gov/36288235"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3217218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3217218","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":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10081959/pdf/nihms-1879494.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100681255","display_name":"Yan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071860390","display_name":"Gregory Holste","orcid":"https://orcid.org/0000-0002-5657-3081"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory Holste","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047170063","display_name":"Ying Ding","orcid":"https://orcid.org/0000-0003-2567-2009"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Ding","raw_affiliation_strings":["School of Information, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"School of Information, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089360428","display_name":"Ahmed H. Tewfik","orcid":"https://orcid.org/0000-0002-2384-4391"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Tewfik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085113833","display_name":"Yifan Peng","orcid":"https://orcid.org/0000-0001-9309-8331"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Peng","raw_affiliation_strings":["Weill Cornell Medical College, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medical College, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048522863","display_name":"Zhangyang Wang","orcid":"https://orcid.org/0000-0002-2050-5693"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhangyang Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100681255"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":3.457,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93038236,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"42","issue":"3","first_page":"750","last_page":"761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9979000091552734,"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/T10862","display_name":"AI in cancer detection","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7157983779907227},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6670839190483093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451199054718018},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.643657922744751},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.6165773868560791},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5708222389221191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5299652218818665},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4897044003009796},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.47622281312942505},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4689944088459015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36551663279533386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3368351459503174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32612913846969604}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7157983779907227},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6670839190483093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451199054718018},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.643657922744751},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.6165773868560791},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5708222389221191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5299652218818665},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4897044003009796},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.47622281312942505},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4689944088459015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36551663279533386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3368351459503174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32612913846969604}],"mesh":[{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3217218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3217218","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:36288235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36288235","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},{"id":"pmh:oai:pubmedcentral.nih.gov:10081959","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10081959","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10081959/pdf/nihms-1879494.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10081959","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10081959","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10081959/pdf/nihms-1879494.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1580422627","display_name":null,"funder_award_id":"4R00LM013001","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G309361529","display_name":null,"funder_award_id":"2145640","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4285598683.pdf"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W1915485278","https://openalex.org/W2158698691","https://openalex.org/W2174661749","https://openalex.org/W2195388612","https://openalex.org/W2313422996","https://openalex.org/W2516809705","https://openalex.org/W2549418531","https://openalex.org/W2611650229","https://openalex.org/W2620578265","https://openalex.org/W2692620580","https://openalex.org/W2753677721","https://openalex.org/W2767128594","https://openalex.org/W2788403449","https://openalex.org/W2798122215","https://openalex.org/W2891022667","https://openalex.org/W2896457183","https://openalex.org/W2962708065","https://openalex.org/W2962957359","https://openalex.org/W2962975664","https://openalex.org/W2963351448","https://openalex.org/W2963373823","https://openalex.org/W2963630207","https://openalex.org/W2963749936","https://openalex.org/W2963967185","https://openalex.org/W2978906693","https://openalex.org/W2979839221","https://openalex.org/W2993044507","https://openalex.org/W3004170979","https://openalex.org/W3042227572","https://openalex.org/W3096609285","https://openalex.org/W3101156210","https://openalex.org/W3104211200","https://openalex.org/W3110181119","https://openalex.org/W3119494456","https://openalex.org/W3122239467","https://openalex.org/W3122962899","https://openalex.org/W3127751679","https://openalex.org/W3129576291","https://openalex.org/W3139338041","https://openalex.org/W3151130473","https://openalex.org/W3153774375","https://openalex.org/W3159481202","https://openalex.org/W3164161311","https://openalex.org/W3169622372","https://openalex.org/W3176293577","https://openalex.org/W3177694721","https://openalex.org/W3203480968","https://openalex.org/W3211983116","https://openalex.org/W4212875960","https://openalex.org/W4214713996","https://openalex.org/W4224073528","https://openalex.org/W4282000784","https://openalex.org/W4282843038","https://openalex.org/W4283699461","https://openalex.org/W4285736274","https://openalex.org/W4292779060","https://openalex.org/W4295608163","https://openalex.org/W4300485340","https://openalex.org/W4312384316","https://openalex.org/W6729646992","https://openalex.org/W6737947904","https://openalex.org/W6739901393","https://openalex.org/W6745119210","https://openalex.org/W6746693533","https://openalex.org/W6747741389","https://openalex.org/W6750469568","https://openalex.org/W6755207826","https://openalex.org/W6768688560","https://openalex.org/W6774314701","https://openalex.org/W6778883912","https://openalex.org/W6780762995","https://openalex.org/W6784094891","https://openalex.org/W6788752768","https://openalex.org/W6790275670","https://openalex.org/W6793736971","https://openalex.org/W6794328735","https://openalex.org/W6796768152","https://openalex.org/W6797613833","https://openalex.org/W6798017362","https://openalex.org/W6805153026","https://openalex.org/W6948179336","https://openalex.org/W6966950452"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2734724112","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Before":[0],"the":[1,116,139,177,210],"recent":[2],"success":[3],"of":[4,23,97,119,196],"deep":[5],"learning":[6],"methods":[7],"for":[8,128],"automated":[9],"medical":[10,24],"image":[11,75,99,111,121,143],"analysis,":[12],"practitioners":[13],"used":[14],"handcrafted":[15],"radiomic":[16,29,61,132,145],"features":[17,30,146],"to":[18,39,57,82,130],"quantitatively":[19],"describe":[20],"local":[21,78],"patches":[22],"images.":[25],"However,":[26],"extracting":[27],"discriminative":[28],"relies":[31],"on":[32,176],"accurate":[33,84,167],"pathology":[34,86,168],"localization,":[35],"which":[36,129,134],"is":[37],"difficult":[38],"acquire":[40],"in":[41,46,187,206],"real-world":[42],"settings.":[43],"Despite":[44],"advances":[45],"disease":[47,173,190],"classification":[48,89,203],"and":[49,88,106,112,144,150,202,220],"localization":[50,87,169,191],"from":[51],"chest":[52],"X-rays,":[53],"many":[54],"approaches":[55],"fail":[56],"incorporate":[58],"clinically-informed":[59],"domainspecific":[60],"features.":[62],"For":[63],"these":[64],"reasons,":[65],"we":[66],"propose":[67],"a":[68,102,125,159],"Radiomics-Guided":[69],"Transformer":[70,100,104],"(RGT)":[71],"that":[72,109,164,182],"fuses":[73],"global":[74],"information":[76,81],"with":[77],"radiomics-guided":[79],"auxiliary":[80],"provide":[83],"cardiopulmonary":[85],"without":[90],"any":[91],"bounding":[92,126],"box":[93,127],"annotations.":[94],"RGT":[95,123,157,183],"consists":[96],"an":[98,193],"branch,":[101,105,122],"radiomics":[103,113,140],"fusion":[107],"layers":[108],"aggregate":[110],"information.":[114],"Using":[115],"learned":[117,142],"self-attention":[118],"its":[120],"extracts":[124],"compute":[131],"features,":[133],"are":[135,147],"further":[136],"processed":[137],"by":[138],"branch;":[141],"then":[148],"fused":[149],"mutually":[151],"interact":[152],"via":[153],"cross-attention":[154],"layers.":[155],"Thus,":[156],"utilizes":[158],"novel":[160],"end-to-end":[161],"feedback":[162],"loop":[163],"can":[165],"bootstrap":[166],"only":[170],"using":[171],"image-level":[172],"labels.":[174],"Experiments":[175],"NIH":[178],"ChestXRay":[179],"dataset":[180],"demonstrate":[181],"outperforms":[184],"prior":[185],"works":[186],"weakly":[188],"supervised":[189],"(by":[192,204],"average":[194,207],"margin":[195],"3.6%":[197],"over":[198],"various":[199],"intersection-over-union":[200],"thresholds)":[201],"1.1%":[205],"area":[208],"under":[209],"receiver":[211],"operating":[212],"characteristic":[213],"curve).":[214],"We":[215],"publicly":[216],"release":[217],"our":[218],"codes":[219],"pre-trained":[221],"models":[222],"at":[223],"https://github.com/VITAGroup/chext.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}