{"id":"https://openalex.org/W7126071758","doi":"https://doi.org/10.1109/bibm66473.2025.11356311","title":"Multimodal Survival Prediction Framework with Contrastive Learning Guided by Pathological Reports","display_name":"Multimodal Survival Prediction Framework with Contrastive Learning Guided by Pathological Reports","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126071758","doi":"https://doi.org/10.1109/bibm66473.2025.11356311"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","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/A5121005009","display_name":"Yifei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406907","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0002-5572-0350"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shi","raw_affiliation_strings":["School of Software, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001723162","display_name":"Dongdong Sun","orcid":"https://orcid.org/0000-0001-6689-2177"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Sun","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020186531","display_name":"Bingrong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingrong Liu","raw_affiliation_strings":["School of Software, Hefei University of Technology,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Software, Hefei University of Technology,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087353591","display_name":"Zhigang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Wu","raw_affiliation_strings":["University of Science and Technology of China,Division of Life Sciences and Medicine,Department of Pathology, the First Affiliated Hospital of USTC,Hefei,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Division of Life Sciences and Medicine,Department of Pathology, the First Affiliated Hospital of USTC,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124243797","display_name":"Yushan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Zheng","raw_affiliation_strings":["School of Engineering Medicine, Beihang University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Engineering Medicine, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5121005009"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8407069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6790","last_page":"6797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9761000275611877,"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":0.9761000275611877,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.004100000020116568,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.003599999938160181,"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/discriminative-model","display_name":"Discriminative model","score":0.692300021648407},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.5903000235557556},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.37950000166893005},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.33660000562667847},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.32749998569488525},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.32089999318122864},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.2872999906539917}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.692300021648407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201000213623047},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5180000066757202},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2865999937057495},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C4441509","wikidata":"https://www.wikidata.org/wiki/Q6418787","display_name":"Multimodal therapy","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6752936840057373,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6267913972","display_name":null,"funder_award_id":"62571015,62171007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2753919178","https://openalex.org/W2979584421","https://openalex.org/W2980025636","https://openalex.org/W3043535018","https://openalex.org/W3135547872","https://openalex.org/W3147894994","https://openalex.org/W3176016422","https://openalex.org/W3203898052","https://openalex.org/W4213164367","https://openalex.org/W4283645969","https://openalex.org/W4291021272","https://openalex.org/W4317805349","https://openalex.org/W4361802136","https://openalex.org/W4390872175","https://openalex.org/W4392947532","https://openalex.org/W4398769085","https://openalex.org/W4402716294","https://openalex.org/W4402733572","https://openalex.org/W4403365630"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"survival":[1,47,138],"prediction":[2,48],"combining":[3,140],"genomic":[4,16,62],"features":[5],"with":[6,79,145,163],"histopathology":[7],"whole":[8],"slide":[9],"images":[10],"(WSIs)":[11],"has":[12],"shown":[13],"promise,":[14],"but":[15],"data":[17,29,182],"remains":[18],"costly":[19],"and":[20,30,57,124,133,142],"inaccessible":[21],"for":[22,103],"widespread":[23],"clinical":[24,28,77,151,188],"adoption.":[25],"In":[26],"contrast,":[27],"multi-stained":[31],"WSIs":[32,144],"are":[33],"routinely":[34],"available.":[35],"We":[36],"present":[37],"Contrastive":[38],"Learning":[39],"guided":[40],"by":[41],"Pathological":[42],"Reports":[43],"(CLPR),":[44],"a":[45,115,159],"multimodal":[46,87,137],"framework":[49],"that":[50,97,119],"integrates":[51],"H&Estained":[52],"WSIs,":[53,56],"immunohistochemical":[54],"(IHC)-stained":[55],"structured":[58,146],"pathological":[59,74,93,147],"reports.":[60,148],"Unlike":[61],"approaches,":[63],"IHC":[64,181],"provides":[65],"protein-level":[66],"tumor":[67],"microenvironment":[68],"information":[69],"at":[70],"lower":[71],"cost,":[72],"while":[73],"reports":[75],"bridge":[76],"diagnosis":[78],"prognostic":[80],"assessment.":[81],"CLPR":[82,157,175],"addresses":[83],"key":[84],"challenges":[85],"in":[86],"fusion":[88],"through":[89],"three":[90],"innovations:":[91],"(1)":[92],"report-guided":[94],"contrastive":[95],"learning":[96],"identifies":[98],"semantically":[99],"meaningful":[100],"sample":[101],"pairs":[102],"robust":[104],"cross-modal":[105],"alignment,":[106],"overcoming":[107],"unreliable":[108],"attention":[109],"scores":[110],"under":[111],"weak":[112],"supervision;":[113],"(2)":[114],"distribution-aware":[116],"regularization":[117],"constraint":[118],"explicitly":[120],"preserves":[121],"inter-group":[122],"separability":[123],"intra-group":[125],"compactness":[126],"between":[127],"risk":[128,165],"cohorts,":[129],"enhancing":[130],"discriminative":[131],"power;":[132],"(3)":[134],"the":[135],"first":[136],"dataset":[139,154],"H&E-":[141],"IHC-stained":[143],"On":[149],"our":[150],"gastric":[152],"cancer":[153],"(270":[155],"patients),":[156],"achieves":[158],"C-index":[160],"of":[161],"0.785":[162],"significant":[164],"stratification":[166],"(log-rank":[167],"p":[168],"<":[169],"1e-5),":[170],"outperforming":[171],"state-of-the-art":[172],"methods.":[173],"Notably,":[174],"maintains":[176],"strong":[177],"performance":[178],"even":[179],"without":[180],"(<tex":[183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$C$</tex>-index:":[185],"0.772),":[186],"demonstrating":[187],"versatility.":[189]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
