{"id":"https://openalex.org/W2959688035","doi":"https://doi.org/10.1109/isbi.2019.8759525","title":"Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study","display_name":"Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2959688035","doi":"https://doi.org/10.1109/isbi.2019.8759525","mag":"2959688035","pmid":"https://pubmed.ncbi.nlm.nih.gov/39398279"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11467957","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101866518","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-0256-5569"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089762095","display_name":"Thomas Vetterli","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Vetterli","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065203289","display_name":"Pallavi Balte","orcid":"https://orcid.org/0000-0001-5610-3744"},"institutions":[{"id":"https://openalex.org/I2799503643","display_name":"Columbia University Irving Medical Center","ror":"https://ror.org/01esghr10","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799503643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pallavi P. Balte","raw_affiliation_strings":["Department of Medicine, Columbia University Medical Center, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Columbia University Medical Center, New York, NY, USA","institution_ids":["https://openalex.org/I2799503643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070233463","display_name":"R. Graham Barr","orcid":"https://orcid.org/0000-0001-8021-0072"},"institutions":[{"id":"https://openalex.org/I2799503643","display_name":"Columbia University Irving Medical Center","ror":"https://ror.org/01esghr10","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799503643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Graham Barr","raw_affiliation_strings":["Department of Epidemiology, Columbia University Medical Center, New York, NY, USA","Department of Medicine, Columbia University Medical Center, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Columbia University Medical Center, New York, NY, USA","institution_ids":["https://openalex.org/I2799503643"]},{"raw_affiliation_string":"Department of Medicine, Columbia University Medical Center, New York, NY, USA","institution_ids":["https://openalex.org/I2799503643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090489079","display_name":"Andrew F. Laine","orcid":"https://orcid.org/0000-0003-3797-0628"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew F.Laine","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008972669","display_name":"Elsa D. Angelini","orcid":"https://orcid.org/0000-0002-1602-300X"},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Elsa D. Angelini","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NY, USA","NIHR Imperial BRC, ITMAT Data Science Group, Imperial College, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"NIHR Imperial BRC, ITMAT Data Science Group, Imperial College, London, UK","institution_ids":["https://openalex.org/I4210109636","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0544,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78114923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"289","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9965999722480774,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9965999722480774,"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9905999898910522,"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/T11861","display_name":"Thermal Regulation in Medicine","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859884858131409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5798293352127075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5409965515136719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5165702104568481},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5041683912277222},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42710572481155396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3324206471443176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23115870356559753}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859884858131409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798293352127075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5409965515136719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5165702104568481},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5041683912277222},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42710572481155396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3324206471443176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23115870356559753}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2019.8759525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},{"id":"pmid:39398279","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39398279","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:11467957","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11467957","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":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11467957","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11467957","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":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1275337683","display_name":null,"funder_award_id":"RC1 HL100543","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G2262782284","display_name":null,"funder_award_id":"N01 HC095163","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G2390308769","display_name":null,"funder_award_id":"R01 HL130506","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G3467146285","display_name":null,"funder_award_id":"UL1 TR001079","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G3687594596","display_name":null,"funder_award_id":"N01 HC095168","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G5014199352","display_name":null,"funder_award_id":"UL1 RR024156","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G5157437253","display_name":null,"funder_award_id":"N01 HC095162","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G5787256936","display_name":null,"funder_award_id":"N01 HC095167","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G6359107525","display_name":null,"funder_award_id":"N01 HC095166","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G6514094751","display_name":null,"funder_award_id":"N01 HC095164","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G6541339090","display_name":null,"funder_award_id":"UL1 TR000040","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G6916991146","display_name":null,"funder_award_id":"R01 HL155816","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7214327690","display_name":null,"funder_award_id":"N01 HC095165","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7560043174","display_name":null,"funder_award_id":"R01 HL121270","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7611454640","display_name":null,"funder_award_id":"N01 HC095169","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7618974688","display_name":null,"funder_award_id":"R01 HL093081","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7619456116","display_name":null,"funder_award_id":"N01 HC095160","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7792056415","display_name":null,"funder_award_id":"UL1 RR025005","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G7812722938","display_name":null,"funder_award_id":"UL1 TR001420","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G8045119095","display_name":null,"funder_award_id":"N01 HC095159","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G8614520802","display_name":null,"funder_award_id":"N01 HC095161","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G8924857150","display_name":null,"funder_award_id":"R01 HL077612","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1982341999","https://openalex.org/W2015269748","https://openalex.org/W2037593622","https://openalex.org/W2068990840","https://openalex.org/W2120397327","https://openalex.org/W2127007253","https://openalex.org/W2156097706","https://openalex.org/W2525471827","https://openalex.org/W2527227720","https://openalex.org/W2537105513","https://openalex.org/W2643199048","https://openalex.org/W2752998754","https://openalex.org/W2771810461","https://openalex.org/W6637618735","https://openalex.org/W6728112022","https://openalex.org/W6743450229","https://openalex.org/W7074005974"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Emphysema":[0],"quantification":[1,20],"and":[2,21,41,98,106,114,124,172],"sub-typing":[3],"is":[4,34,125],"actively":[5],"studied":[6],"on":[7,67,76,94,127,150,157,183],"cohorts":[8],"of":[9,19,31,43,61,111,161,168,195,200],"full-lung":[10,69],"high-resolution":[11],"CT":[12,26,78,122,163,185],"(HRCT)":[13],"scans,":[14,27,71,123,164],"with":[15],"promising":[16],"results.":[17],"Transfer":[18],"classification":[22,93,113],"tools":[23],"to":[24,37,56,72,102,118,177],"cardiac":[25,77,96,108,121,162,184],"which":[28],"involve":[29],"70%":[30],"the":[32,112,128,143,147,201],"lungs,":[33],"challenging":[35],"due":[36],"lower":[38],"image":[39,139],"resolution":[40],"degradation":[42],"textural":[44],"patterns.":[45],"In":[46],"this":[47],"study,":[48],"we":[49],"propose":[50],"an":[51],"original":[52],"deep-learning":[53],"domain-adaptation":[54],"framework":[55],"use":[57],"a":[58],"pre-existing":[59],"dictionary":[60],"lung":[62,91],"texture":[63,92,181],"patterns":[64,182],"(LTP),":[65],"learned":[66],"gold-standard":[68],"HRCT":[70],"label":[73,119,179],"emphysema":[74,180],"regions":[75],"scans.":[79,152],"The":[80,175],"method":[81],"exploits":[82],"convolutional":[83],"neural":[84],"networks":[85],"(CNNs)":[86],"trained":[87],"for:":[88],"1)":[89],"supervised":[90],"synthetic":[95,107,151],"images,":[97],"2)":[99],"adversarial":[100,115,144],"learning":[101],"discriminate":[103],"between":[104],"real":[105,120],"images.":[109],"Combination":[110],"tasks":[116],"enables":[117],"evaluated":[126],"MESA":[129],"cohort":[130],"(N":[131],"=":[132],"15,357":[133],"scans).":[134],"Our":[135],"results":[136],"show":[137,165],"that":[138],"features":[140],"derived":[141],"from":[142],"training":[145],"preserve":[146],"labeling":[148],"accuracy":[149],"LTP":[153],"histogram":[154],"signatures":[155],"generated":[156],"4,315":[158],"longitudinal":[159,190],"pairs":[160],"high":[166],"level":[167],"consistency":[169],"over":[170,192],"time":[171],"scanner":[173],"generations.":[174],"ability":[176],"robustly":[178],"scans":[186],"will":[187],"enable":[188],"large-scale":[189],"studies":[191],"10":[193],"years":[194],"follow-up,":[196],"for":[197],"better":[198],"understanding":[199],"disease":[202],"progression.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}