{"id":"https://openalex.org/W4392223247","doi":"https://doi.org/10.48550/arxiv.2402.15534","title":"DiCoM -- Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies","display_name":"DiCoM -- Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies","publication_year":2024,"publication_date":"2024-02-22","ids":{"openalex":"https://openalex.org/W4392223247","doi":"https://doi.org/10.48550/arxiv.2402.15534"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2402.15534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.15534","pdf_url":"https://arxiv.org/pdf/2402.15534","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.15534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Parida, Abhijeet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parida, Abhijeet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020437693","display_name":"Daniel Capell\u00e1n-Mart\u00edn","orcid":"https://orcid.org/0000-0002-9743-0845"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Capellan-Martin, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111136893","display_name":"Sara Atito","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atito, Sara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048145767","display_name":"Muhammad Awais","orcid":"https://orcid.org/0000-0003-2170-5344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Awais, Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012910949","display_name":"Mar\u00eda J. Ledesma\u2010Carbayo","orcid":"https://orcid.org/0000-0001-6846-3923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ledesma-Carbayo, Maria J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085732379","display_name":"Marius George Linguraru","orcid":"https://orcid.org/0000-0001-6175-8665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linguraru, Marius G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073762312","display_name":"Syed Muhammad Anwar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anwar, Syed Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9919999837875366,"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":0.9919999837875366,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9918000102043152,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.8345822095870972},{"id":"https://openalex.org/keywords/dicom","display_name":"DICOM","score":0.8301111459732056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45496517419815063},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.434085488319397},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3789063096046448},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.34599512815475464},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.28884249925613403},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21403178572654724}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8345822095870972},{"id":"https://openalex.org/C77331912","wikidata":"https://www.wikidata.org/wiki/Q81095","display_name":"DICOM","level":2,"score":0.8301111459732056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45496517419815063},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.434085488319397},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3789063096046448},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.34599512815475464},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.28884249925613403},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21403178572654724},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2402.15534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.15534","pdf_url":"https://arxiv.org/pdf/2402.15534","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2402.15534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.15534","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.15534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.15534","pdf_url":"https://arxiv.org/pdf/2402.15534","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392223247.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["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/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725","https://openalex.org/W2148612803"],"abstract_inverted_index":{"Chest":[0],"X-Ray":[1],"(CXR)":[2],"is":[3,155,216],"a":[4,12,69,104,111,132,247,252],"widely":[5,253],"used":[6,254],"clinical":[7,29,93],"imaging":[8,77,255],"modality":[9],"and":[10,18,23,38,119,180,201,213,238],"has":[11,57],"pivotal":[13],"role":[14],"in":[15,63,72,149,220],"the":[16,42,73,124,142,146,150,178,183,188,196,202,235],"diagnosis":[17],"prognosis":[19],"of":[20,45,92,123,182,190,198,204,207],"various":[21],"lung":[22],"heart":[24],"related":[25],"conditions.":[26],"Conventional":[27],"automated":[28],"diagnostic":[30],"tool":[31],"design":[32],"strategies":[33],"relying":[34],"on":[35,174],"radiology":[36],"reads":[37],"supervised":[39,61],"learning,":[40],"entail":[41],"cumbersome":[43],"requirement":[44],"high":[46],"quality":[47],"annotated":[48],"training":[49,107],"data.":[50,126],"To":[51,186],"address":[52,159],"this":[53,96],"challenge,":[54],"self-supervised":[55,106],"pre-training":[56,62,78,82,184,229],"proven":[58],"to":[59,89,158,218,226,243],"outperform":[60],"numerous":[64],"downstream":[65,172],"vision":[66],"tasks,":[67,214],"representing":[68],"significant":[70],"breakthrough":[71],"field.":[74],"However,":[75],"medical":[76],"significantly":[79],"differs":[80],"from":[81,144],"with":[83,234],"natural":[84],"images":[85],"(e.g.,":[86],"ImageNet)":[87],"due":[88],"unique":[90],"attributes":[91],"images.":[94],"In":[95],"context,":[97],"we":[98,193],"introduce":[99],"Diverse":[100],"Concept":[101],"Modeling":[102],"(DiCoM),":[103],"novel":[105],"paradigm":[108,165],"that":[109],"leverages":[110],"student":[112],"teacher":[113],"framework":[114],"for":[115,250],"learning":[116],"diverse":[117,160,211],"concepts":[118,147],"hence":[120],"effective":[121],"representation":[122],"CXR":[125],"Hence,":[127],"expanding":[128],"beyond":[129],"merely":[130],"modeling":[131],"single":[133],"primary":[134],"label":[135],"within":[136],"an":[137],"image,":[138],"instead,":[139],"effectively":[140],"harnessing":[141],"information":[143],"all":[145],"inherent":[148],"CXR.":[151],"The":[152],"pre-trained":[153],"model":[154,249],"subsequently":[156],"fine-tuned":[157],"domain-specific":[161],"tasks.":[162],"Our":[163],"proposed":[164],"consistently":[166],"demonstrates":[167],"robust":[168],"performance":[169],"across":[170],"multiple":[171,175],"tasks":[173],"datasets,":[176],"highlighting":[177],"success":[179],"generalizability":[181],"strategy.":[185],"establish":[187],"efficacy":[189],"our":[191,208],"methods":[192],"analyze":[194],"both":[195],"power":[197],"learned":[199],"representations":[200],"speed":[203],"convergence":[205],"(SoC)":[206],"models.":[209],"For":[210],"data":[212],"DiCoM":[215,242],"able":[217],"achieve":[219],"most":[221],"cases":[222],"better":[223],"results":[224],"compared":[225],"other":[227],"state-of-the-art":[228],"strategies.":[230],"This":[231],"when":[232],"combined":[233],"higher":[236],"SoC":[237],"generalization":[239],"capabilities":[240],"positions":[241],"be":[244],"established":[245],"as":[246],"foundation":[248],"CXRs,":[251],"modality.":[256]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
