{"id":"https://openalex.org/W2867309378","doi":"https://doi.org/10.1117/12.2318508","title":"Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer","display_name":"Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2867309378","doi":"https://doi.org/10.1117/12.2318508","mag":"2867309378"},"language":"en","primary_location":{"id":"doi:10.1117/12.2318508","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1468168","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054049458","display_name":"Hong\u2010Jun Yoon","orcid":"https://orcid.org/0000-0002-5450-5878"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong-Jun Yoon","raw_affiliation_strings":["Oak Ridge National Lab. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab. (United States)","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028188095","display_name":"Arvind Ramanathan","orcid":"https://orcid.org/0000-0002-1622-5488"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arvind Ramanathan","raw_affiliation_strings":["Oak Ridge National Lab. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab. (United States)","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085951667","display_name":"Folami Alamudun","orcid":"https://orcid.org/0000-0002-0803-4542"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Folami Alamudun","raw_affiliation_strings":["Oak Ridge National Lab. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab. (United States)","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014968146","display_name":"Georgia D. Tourassi","orcid":"https://orcid.org/0000-0002-9418-9638"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgia Tourassi","raw_affiliation_strings":["Oak Ridge National Lab. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Lab. (United States)","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.9256,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76244543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"75"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiogenomics","display_name":"Radiogenomics","score":0.9874523878097534},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6350425481796265},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.602766215801239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5282824635505676},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.523476243019104},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.5130294561386108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5075820684432983},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4948553442955017},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.45624059438705444},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44985613226890564},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4104294776916504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3697092533111572},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.356215238571167},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.33256733417510986},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.28082144260406494},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.24751058220863342},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.16373774409294128},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10898706316947937}],"concepts":[{"id":"https://openalex.org/C163500349","wikidata":"https://www.wikidata.org/wiki/Q7281263","display_name":"Radiogenomics","level":3,"score":0.9874523878097534},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6350425481796265},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.602766215801239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5282824635505676},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.523476243019104},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.5130294561386108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5075820684432983},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4948553442955017},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.45624059438705444},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44985613226890564},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4104294776916504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3697092533111572},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.356215238571167},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.33256733417510986},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.28082144260406494},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.24751058220863342},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.16373774409294128},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10898706316947937}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2318508","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1468168","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1468168","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1468168","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1468168","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1687542094","https://openalex.org/W2019499867","https://openalex.org/W2083927153","https://openalex.org/W2095868657","https://openalex.org/W2101234009","https://openalex.org/W2271840356","https://openalex.org/W2284539364","https://openalex.org/W6633658626","https://openalex.org/W6637556469","https://openalex.org/W6675354045","https://openalex.org/W6694517276"],"related_works":["https://openalex.org/W3031917654","https://openalex.org/W2791434829","https://openalex.org/W4296900505","https://openalex.org/W3216179451","https://openalex.org/W2961523772","https://openalex.org/W2906672079","https://openalex.org/W2809343516","https://openalex.org/W4255189173","https://openalex.org/W2792347954","https://openalex.org/W2598726835"],"abstract_inverted_index":{"Integration":[0],"of":[1,16,23,49,81,110],"heterogeneous":[2],"data":[3,88,98,132],"from":[4,89,99],"different":[5],"modalities":[6],"such":[7],"as":[8],"genomics":[9],"and":[10,44,70,77,95],"radiomics":[11],"is":[12],"a":[13],"growing":[14],"area":[15],"research":[17],"expected":[18],"to":[19,52,73],"generate":[20],"better":[21],"prediction":[22],"clinical":[24,54],"outcomes":[25],"in":[26,124],"comparison":[27,125],"with":[28,126],"single":[29,130],"modality":[30,131],"approaches.":[31],"To":[32],"date":[33],"radiogenomics":[34,123],"studies":[35],"have":[36],"focused":[37],"primarily":[38],"on":[39,120,129],"investigating":[40],"correlations":[41],"between":[42],"genomic":[43,71],"radiomic":[45,69],"features,":[46],"or":[47],"selection":[48],"salient":[50],"features":[51,72],"determine":[53],"tumor":[55],"phenotype.":[56],"In":[57],"this":[58],"study,":[59],"we":[60,105],"designed":[61],"deep":[62],"neural":[63],"networks":[64],"(DNN),":[65],"which":[66],"combine":[67],"both":[68],"predict":[74],"pathological":[75],"stage":[76],"molecular":[78],"receptor":[79],"status":[80],"invasive":[82],"breast":[83],"cancer":[84],"patients.":[85],"Utilizing":[86],"imaging":[87],"The":[90,100],"Cancer":[91,101],"Imaging":[92],"Archive":[93],"(TCIA)":[94],"gene":[96],"expression":[97],"Genome":[102],"Atlas":[103],"(TCGA),":[104],"evaluated":[106],"the":[107],"predictive":[108],"power":[109],"Convolutional":[111],"Neural":[112],"Networks":[113],"(CNN).":[114],"Overall,":[115],"results":[116],"suggest":[117],"superior":[118],"performance":[119],"CNNs":[121,127],"leveraging":[122],"trained":[128],"sources.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
