{"id":"https://openalex.org/W4410297194","doi":"https://doi.org/10.1109/isbi60581.2025.10981307","title":"Conditional Convolution of Clinical Data Embeddings for Multimodal Prostate Cancer Classification","display_name":"Conditional Convolution of Clinical Data Embeddings for Multimodal Prostate Cancer Classification","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410297194","doi":"https://doi.org/10.1109/isbi60581.2025.10981307"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001338846","display_name":"Jiayang Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiayang Zhong","raw_affiliation_strings":["Department of Biomedical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074425336","display_name":"Fuyao Chen","orcid":"https://orcid.org/0000-0002-9609-5731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuyao Chen","raw_affiliation_strings":["Department of Biomedical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718988","display_name":"Lihui Chen","orcid":"https://orcid.org/0000-0001-7452-1675"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lihui Chen","raw_affiliation_strings":["Yale School of Public Health,Department of Biotatistics,CT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale School of Public Health,Department of Biotatistics,CT,USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078143266","display_name":"Dennis Shung","orcid":"https://orcid.org/0000-0001-8226-1842"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dennis Shung","raw_affiliation_strings":["Yale School of Medicine,CT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale School of Medicine,CT,USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083553196","display_name":"John A. Onofrey","orcid":"https://orcid.org/0000-0002-9432-0448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John A. Onofrey","raw_affiliation_strings":["Department of Biomedical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9595000147819519,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9595000147819519,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9452000260353088,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.705737292766571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126147508621216},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.5380626916885376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46979057788848877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35388708114624023},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.34969645738601685},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16443493962287903},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.056444376707077026}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.705737292766571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126147508621216},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.5380626916885376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46979057788848877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35388708114624023},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.34969645738601685},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16443493962287903},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.056444376707077026},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7242631534","display_name":null,"funder_award_id":"T32GM007205","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":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2020470134","https://openalex.org/W2040293820","https://openalex.org/W2194775991","https://openalex.org/W2334235689","https://openalex.org/W2513507045","https://openalex.org/W2604294081","https://openalex.org/W2753071814","https://openalex.org/W2789982652","https://openalex.org/W2790681451","https://openalex.org/W2919308409","https://openalex.org/W2981810804","https://openalex.org/W3016483492","https://openalex.org/W3023440220","https://openalex.org/W3097158220","https://openalex.org/W3124849228","https://openalex.org/W3128646645","https://openalex.org/W4390946922","https://openalex.org/W4396692683","https://openalex.org/W6767312599","https://openalex.org/W6959644702"],"related_works":["https://openalex.org/W299695548","https://openalex.org/W4403381637","https://openalex.org/W2384122898","https://openalex.org/W151774199","https://openalex.org/W4281885123","https://openalex.org/W2345040638","https://openalex.org/W3171449477","https://openalex.org/W209797606","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Accurate":[0],"risk":[1],"prediction":[2,59,97,114],"for":[3,15],"prostate":[4],"cancer":[5],"(PCa)":[6],"in":[7,30,45,129],"multiparametric":[8],"magnetic":[9],"resonance":[10],"imaging":[11,37,124],"(mpMRI)":[12],"is":[13,132],"essential":[14],"non-invasive":[16],"diagnosis.":[17],"Current":[18],"deep":[19],"learning":[20],"approaches,":[21],"such":[22],"as":[23],"convolutional":[24],"neural":[25],"networks":[26],"(CNNs),":[27],"show":[28],"promise":[29],"predicting":[31],"Gleason":[32],"scores":[33],"(GS)":[34],"directly":[35],"from":[36,73],"data,":[38],"yet":[39],"often":[40],"overlook":[41],"valuable":[42],"clinical":[43,63,75,107],"data":[44,47,93],"other":[46],"modalities.":[48],"In":[49],"this":[50,130],"study,":[51],"we":[52],"introduce":[53],"EmbedCondConv":[54],"a":[55,82],"novel":[56],"multimodal":[57],"GS":[58,113],"model":[60,111],"that":[61,105],"incorporates":[62],"information":[64,108],"by":[65],"conditioning":[66],"CNN":[67],"kernels":[68],"on":[69,81],"principal":[70],"components":[71],"derived":[72],"patient":[74],"data.":[76],"We":[77],"tested":[78],"our":[79],"models":[80],"public":[83],"dataset":[84],"of":[85,118],"921":[86],"selected":[87],"MRI":[88],"scans":[89],"and":[90,94],"corresponding":[91],"structured":[92],"compared":[95,120],"the":[96,110],"performance":[98],"to":[99,121],"baseline":[100],"models.":[101],"Our":[102],"results":[103],"demonstrate":[104],"incorporating":[106],"into":[109],"improves":[112],"accuracy":[115],"with":[116],"AUROC":[117],"0.90":[119],"0.69":[122],"using":[123],"alone.":[125],"All":[126],"code":[127],"used":[128],"study":[131],"publicly":[133],"available":[134],"at":[135],"https://github.com/jiayangz/EmbedCondConv.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}