{"id":"https://openalex.org/W3005105526","doi":"https://doi.org/10.1109/isbi45749.2020.9098545","title":"Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction","display_name":"Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3005105526","doi":"https://doi.org/10.1109/isbi45749.2020.9098545","mag":"3005105526"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.01982","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065716262","display_name":"Vaishnavi Subramanian","orcid":"https://orcid.org/0000-0003-2224-3671"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vaishnavi Subramanian","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA","Electrical and Computer Engineering, University of Illinois at Urbana-Champaign,USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign,USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005908865","display_name":"N. Minh","orcid":"https://orcid.org/0000-0001-5132-4986"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh N. Do","raw_affiliation_strings":["Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA","Electrical and Computer Engineering, University of Illinois at Urbana-Champaign,USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of Illinois at Urbana-Champaign,USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057284370","display_name":"Tanveer Syeda-Mahmood","orcid":"https://orcid.org/0000-0003-0059-3208"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanveer Syeda-Mahmood","raw_affiliation_strings":["IBM Research, Almaden Research Center, San Jose, USA","IBM Research \u2013 Almaden Research Center, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research \u2013 Almaden Research Center, San Jose, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065716262"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.1112,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.4675403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"804","last_page":"808"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9972000122070312,"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/T10862","display_name":"AI in cancer detection","score":0.9958000183105469,"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/radiogenomics","display_name":"Radiogenomics","score":0.7698977589607239},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6449323296546936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5371552109718323},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5092090368270874},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.5079055428504944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4994480609893799},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4687046706676483},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.4663148820400238},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.44810643792152405},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4104645550251007},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3850114941596985},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.33388596773147583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3244907855987549},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2700451910495758},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.23491519689559937},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.15947240591049194},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15612435340881348},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.08508378267288208}],"concepts":[{"id":"https://openalex.org/C163500349","wikidata":"https://www.wikidata.org/wiki/Q7281263","display_name":"Radiogenomics","level":3,"score":0.7698977589607239},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6449323296546936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5371552109718323},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5092090368270874},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.5079055428504944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4994480609893799},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4687046706676483},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.4663148820400238},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.44810643792152405},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4104645550251007},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3850114941596985},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.33388596773147583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3244907855987549},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2700451910495758},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.23491519689559937},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.15947240591049194},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15612435340881348},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.08508378267288208}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.01982","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.01982","pdf_url":"https://arxiv.org/pdf/2002.01982","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3005105526","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2002.01982","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2002.01982","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.01982","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":"article"},{"id":"doi:10.17023/3trt-xr84","is_oa":true,"landing_page_url":"https://doi.org/10.17023/3trt-xr84","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.01982","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.01982","pdf_url":"https://arxiv.org/pdf/2002.01982","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005105526.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W70383152","https://openalex.org/W1257569579","https://openalex.org/W1580788756","https://openalex.org/W2097360283","https://openalex.org/W2119197194","https://openalex.org/W2142697503","https://openalex.org/W2147925490","https://openalex.org/W2158485828","https://openalex.org/W2747623286","https://openalex.org/W2752879928","https://openalex.org/W2767128594","https://openalex.org/W2768940745","https://openalex.org/W2896246551","https://openalex.org/W2900949351","https://openalex.org/W2954157060","https://openalex.org/W2963446712","https://openalex.org/W2964072591","https://openalex.org/W3147894994","https://openalex.org/W4294541781","https://openalex.org/W6602870191","https://openalex.org/W6681009388"],"related_works":["https://openalex.org/W2342295631","https://openalex.org/W3168973338","https://openalex.org/W2553731105","https://openalex.org/W3165232905","https://openalex.org/W3175721190","https://openalex.org/W2993387648","https://openalex.org/W3043909624","https://openalex.org/W3191784942","https://openalex.org/W3166591035","https://openalex.org/W2028852689","https://openalex.org/W3204958849","https://openalex.org/W3131949569","https://openalex.org/W2145288619","https://openalex.org/W3137850923","https://openalex.org/W2064512348","https://openalex.org/W2699704795","https://openalex.org/W3199109277","https://openalex.org/W2940487144","https://openalex.org/W2890588012","https://openalex.org/W2999057473"],"abstract_inverted_index":{"Lung":[0],"cancer":[1,17,74],"has":[2,19],"a":[3,69],"high":[4],"rate":[5],"of":[6,27,36,54,78,88],"recurrence":[7,14,55],"in":[8,15,85],"early-stage":[9],"patients.":[10],"Predicting":[11],"the":[12,34,96,117],"post-surgical":[13],"lung":[16,73],"patients":[18,80],"traditionally":[20],"been":[21],"approached":[22],"using":[23,56],"single":[24],"modality":[25],"information":[26],"genomics":[28],"or":[29],"radiology":[30],"images.":[31],"We":[32,66],"investigate":[33],"potential":[35],"multimodal":[37,121],"fusion":[38,108,124],"for":[39,119],"this":[40,129],"task.":[41],"By":[42],"combining":[43],"computed":[44],"tomography":[45],"(CT)":[46],"images":[47],"and":[48,81,105,123],"genomics,":[49],"we":[50],"demonstrate":[51],"improved":[52],"prediction":[53],"linear":[57],"Cox":[58],"proportional":[59],"hazards":[60],"models":[61],"with":[62],"elastic":[63],"net":[64],"regularization.":[65],"work":[67],"on":[68],"recent":[70],"non-small":[71],"cell":[72],"(NSCLC)":[75],"radiogenomics":[76],"dataset":[77],"130":[79],"observe":[82],"an":[83],"increase":[84],"concordance-index":[86],"values":[87],"up":[89],"to":[90,128],"10%.":[91],"Employing":[92],"non-linear":[93],"methods":[94],"from":[95],"neural":[97],"network":[98],"literature,":[99],"such":[100],"as":[101],"multi":[102],"-layer":[103],"perceptrons":[104],"visual-question":[106],"answering":[107],"modules,":[109],"did":[110],"not":[111],"improve":[112],"performance":[113],"consistently.":[114],"This":[115],"indicates":[116],"need":[118],"larger":[120],"datasets":[122],"techniques":[125],"better":[126],"adapted":[127],"biological":[130],"setting.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2022-07-26T00:00:00"}