{"id":"https://openalex.org/W4386362602","doi":"https://doi.org/10.1109/isbi53787.2023.10230623","title":"Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images","display_name":"Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362602","doi":"https://doi.org/10.1109/isbi53787.2023.10230623","pmid":"https://pubmed.ncbi.nlm.nih.gov/37711217"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th 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/PMC10498780/pdf/nihms-1929595.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073053835","display_name":"Samiksha Pachade","orcid":"https://orcid.org/0000-0001-5226-6706"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S Pachade","raw_affiliation_strings":["University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030"],"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032489574","display_name":"Surabhi Datta","orcid":"https://orcid.org/0000-0002-5634-2005"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S Datta","raw_affiliation_strings":["University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030"],"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692740","display_name":"Yi Dong","orcid":"https://orcid.org/0000-0002-0212-1477"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y Dong","raw_affiliation_strings":["University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030"],"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024796482","display_name":"Sergio Salazar\u2010Marioni","orcid":"https://orcid.org/0000-0002-2722-7542"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S Salazar-Marioni","raw_affiliation_strings":["UTHealth,McGovern Medical School,Houston,TX,USA,77030"],"affiliations":[{"raw_affiliation_string":"UTHealth,McGovern Medical School,Houston,TX,USA,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056911306","display_name":"Rania Abdelkhaleq","orcid":"https://orcid.org/0000-0001-9619-6105"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R Abdelkhaleq","raw_affiliation_strings":["UTHealth,McGovern Medical School,Houston,TX,USA,77030"],"affiliations":[{"raw_affiliation_string":"UTHealth,McGovern Medical School,Houston,TX,USA,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083118897","display_name":"Arash Niktabe","orcid":null},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A Niktabe","raw_affiliation_strings":["UTHealth,McGovern Medical School,Houston,TX,USA,77030"],"affiliations":[{"raw_affiliation_string":"UTHealth,McGovern Medical School,Houston,TX,USA,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046709245","display_name":"Kirk Roberts","orcid":"https://orcid.org/0000-0001-6525-5213"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K Roberts","raw_affiliation_strings":["University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030"],"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102551356","display_name":"SA Sheth","orcid":null},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"SA Sheth","raw_affiliation_strings":["UTHealth,McGovern Medical School,Houston,TX,USA,77030"],"affiliations":[{"raw_affiliation_string":"UTHealth,McGovern Medical School,Houston,TX,USA,77030","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026804774","display_name":"Luca Giancardo","orcid":"https://orcid.org/0000-0002-4862-2277"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L Giancardo","raw_affiliation_strings":["University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030","Institute for Stroke and Cerebrovascular Diseases, UTHealth, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston (UTHealth),School of Biomedical Informatics,Houston,TX,77030","institution_ids":["https://openalex.org/I919571938"]},{"raw_affiliation_string":"Institute for Stroke and Cerebrovascular Diseases, UTHealth, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5073053835"],"corresponding_institution_ids":["https://openalex.org/I919571938"],"apc_list":null,"apc_paid":null,"fwci":1.0468,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78394152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.72402024269104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6543664932250977},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6435314416885376},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5980401039123535},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5089349746704102},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.48291918635368347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4264461398124695},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4199025332927704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3526684641838074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3436299264431},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.33021849393844604},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16181474924087524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72402024269104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6543664932250977},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6435314416885376},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5980401039123535},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5089349746704102},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.48291918635368347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4264461398124695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4199025332927704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3526684641838074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3436299264431},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.33021849393844604},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16181474924087524},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:37711217","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37711217","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:10498780","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10498780","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10498780/pdf/nihms-1929595.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:10498780","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10498780","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10498780/pdf/nihms-1929595.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":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4183416194","display_name":null,"funder_award_id":"R01NS121154","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4337381829","display_name":null,"funder_award_id":"R21EB029575","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6731362280","display_name":null,"funder_award_id":"EB02957","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386362602.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2036200541","https://openalex.org/W2194775991","https://openalex.org/W2887280559","https://openalex.org/W2896457183","https://openalex.org/W2952834869","https://openalex.org/W2957996027","https://openalex.org/W2978017171","https://openalex.org/W3005680577","https://openalex.org/W3031326204","https://openalex.org/W3035524453","https://openalex.org/W3097267201","https://openalex.org/W3166396011","https://openalex.org/W3211074996","https://openalex.org/W3214654535","https://openalex.org/W4200575763","https://openalex.org/W4200587271","https://openalex.org/W4296027312","https://openalex.org/W6754002923","https://openalex.org/W6755207826","https://openalex.org/W6768851824","https://openalex.org/W6770717842","https://openalex.org/W6774314701","https://openalex.org/W6779238245","https://openalex.org/W6791353385","https://openalex.org/W6802963094"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W3024479225","https://openalex.org/W3171371563","https://openalex.org/W2995680918","https://openalex.org/W3133954817","https://openalex.org/W3003847115"],"abstract_inverted_index":{"Scarcity":[0],"of":[1,99,237,254],"labels":[2,49],"for":[3,10,51,87,240],"medical":[4,52,57],"images":[5,58],"is":[6,22,197],"a":[7,96,167,234,263],"significant":[8,71],"barrier":[9],"training":[11],"representation":[12],"learning":[13,160,170],"approaches":[14],"based":[15],"on":[16,110,217,233,267],"deep":[17],"neural":[18],"networks.":[19],"This":[20],"limitation":[21],"also":[23],"present":[24],"when":[25],"using":[26,166,278],"imaging":[27,79,108,195,256],"data":[28,43],"collected":[29],"during":[30],"routine":[31],"clinical":[32],"care":[33],"stored":[34],"in":[35,210],"picture":[36],"archiving":[37],"communication":[38],"systems":[39],"(PACS),":[40],"as":[41,84,124],"these":[42],"rarely":[44],"have":[45],"attached":[46],"the":[47,106,125,146,177,202,211,245,252,255,268,279],"high-quality":[48],"required":[50],"image":[53,182],"computing":[54],"tasks.":[55],"However,":[56],"extracted":[59],"from":[60],"PACS":[61],"are":[62],"commonly":[63],"coupled":[64],"with":[65,118,159,248],"descriptive":[66],"radiology":[67,142,151,161,212,281],"reports":[68,152,226],"that":[69,173,244],"contain":[70],"information":[72],"and":[73,145,181,200,283],"could":[74,82],"be":[75],"leveraged":[76],"to":[77,104,138,148,204,258,262],"pre-train":[78,105],"models,":[80],"which":[81],"serve":[83],"starting":[85],"points":[86],"further":[88],"task-specific":[89],"fine-tuning.":[90],"In":[91,155],"this":[92],"work,":[93],"we":[94,157],"perform":[95],"head-to-head":[97],"comparison":[98],"three":[100],"different":[101],"self-supervised":[102,169],"strategies":[103,129,250],"same":[107],"model":[109,257,264],"3D":[111,194,223],"brain":[112],"computed":[113],"tomography":[114],"angiogram":[115],"(CTA)":[116],"images,":[117],"large":[119],"vessel":[120],"occlusion":[121],"(LVO)":[122],"detection":[123,187],"downstream":[126,229],"task.":[127],"These":[128],"evaluate":[130],"two":[131],"natural":[132],"language":[133,180],"processing":[134],"(NLP)":[135],"approaches,":[136],"one":[137],"extract":[139],"100":[140],"explicit":[141,280],"concepts":[143,162,282],"(Rad-SpatialNet)":[144],"other":[147],"create":[149],"general-purpose":[150],"embeddings":[153],"(DistilBERT).":[154],"addition,":[156],"experiment":[158],"directly":[163],"or":[164],"by":[165,175,276],"recent":[168],"approach":[171],"(CLIP)":[172],"learns":[174],"ranking":[176],"distance":[178],"between":[179],"vector":[183],"embeddings.":[184],"The":[185,228,271],"LVO":[186,260],"task":[188,230],"was":[189,215,231,274],"selected":[190],"because":[191],"it":[192],"requires":[193,201],"data,":[196],"clinically":[198],"important,":[199],"algorithm":[203],"learn":[205],"outputs":[206],"not":[207],"explicitly":[208],"stated":[209],"report.":[213],"Pre-training":[214],"performed":[216,247],"an":[218],"unlabeled":[219],"dataset":[220,236],"containing":[221],"1,542":[222],"CTA":[224],"-":[225],"pairs.":[227],"tested":[232],"labeled":[235,269],"402":[238],"subjects":[239],"LVO.":[241],"We":[242],"find":[243],"pre-training":[246,277],"CLIP-based":[249],"improve":[251],"performance":[253,273],"detect":[259],"compared":[261],"trained":[265],"only":[266],"data.":[270],"best":[272],"achieved":[275],"CLIP":[284],"strategy.":[285]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}