{"id":"https://openalex.org/W7124167882","doi":"https://doi.org/10.1145/3777577.3777634","title":"Multimodal Data-Driven: A Deep Learning Architecture Integrating 3D-CNN and Transformer for Overall Survival Prediction in GBM Patients","display_name":"Multimodal Data-Driven: A Deep Learning Architecture Integrating 3D-CNN and Transformer for Overall Survival Prediction in GBM Patients","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7124167882","doi":"https://doi.org/10.1145/3777577.3777634"},"language":null,"primary_location":{"id":"doi:10.1145/3777577.3777634","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777634","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3777577.3777634","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045064381","display_name":"Yankai Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yankai Zheng","raw_affiliation_strings":["School of Life Science and Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0002-4046-6342","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091998637","display_name":"Tianci Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianci Xue","raw_affiliation_strings":["School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0006-9314-7096","affiliations":[{"raw_affiliation_string":"School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123032458","display_name":"Kaiyan Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyan Xie","raw_affiliation_strings":["School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0009-0081-7436","affiliations":[{"raw_affiliation_string":"School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123021396","display_name":"Chen Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Kong","raw_affiliation_strings":["School of Life Science and Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0004-9216-9360","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104242733","display_name":"Dongli Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongli Liu","raw_affiliation_strings":["School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0000-2417-6666","affiliations":[{"raw_affiliation_string":"School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104364179","display_name":"Lurui Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lurui Bo","raw_affiliation_strings":["School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-0835-8839","affiliations":[{"raw_affiliation_string":"School of Future Technology, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123006950","display_name":"Ying Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Xu","raw_affiliation_strings":["Health information Services, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0004-7687-4078","affiliations":[{"raw_affiliation_string":"Health information Services, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210121771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123023026","display_name":"Yuxuan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Hu","raw_affiliation_strings":["School of Economics and Finance, Xi 'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-6070-6140","affiliations":[{"raw_affiliation_string":"School of Economics and Finance, Xi 'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shaohui Ma","orcid":"https://orcid.org/0000-0001-5325-6534"},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Ma","raw_affiliation_strings":["Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5325-6534","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210121771"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.7976999878883362,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.7976999878883362,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.09950000047683716,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.014700000174343586,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7468000054359436},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5968999862670898},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5185999870300293},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.46860000491142273},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4375},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43709999322891235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39570000767707825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3856000006198883}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7468000054359436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6931999921798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63919997215271},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5968999862670898},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46959999203681946},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.46860000491142273},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4375},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777577.3777634","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777634","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3777577.3777634","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777634","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6277408599853516}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1977915097","https://openalex.org/W2105100844","https://openalex.org/W2140892567","https://openalex.org/W4214613336","https://openalex.org/W4318833446","https://openalex.org/W4391317498","https://openalex.org/W4393182100"],"related_works":[],"abstract_inverted_index":{"This":[0,121],"study":[1,122],"develops":[2],"a":[3,126],"multimodal":[4,28,75],"deep":[5],"learning":[6],"model":[7,45,82,111],"integrating":[8],"3D":[9,51,56],"CNN":[10,52,57],"and":[11,53,76,92],"Transformer":[12,69],"architectures":[13],"to":[14,38],"predict":[15],"overall":[16],"survival":[17],"(OS)":[18],"in":[19,115,133],"glioblastoma":[20],"multiforme":[21],"(GBM)":[22],"patients.":[23,120],"We":[24],"first":[25],"systematically":[26],"screened":[27],"features":[29,62],"by":[30,95],"combining":[31],"clinical":[32,148],"expert":[33],"opinions":[34],"with":[35],"SHAP":[36],"analysis":[37],"identify":[39],"the":[40,55,68,81,84,97,104,109],"optimal":[41],"feature":[42,86],"set":[43],"for":[44,130,147],"input.":[46],"The":[47],"architecture":[48],"innovatively":[49],"combines":[50],"Transformer:":[54],"module":[58,70],"extracts":[59],"spatial":[60],"structural":[61],"from":[63],"multi-sequence":[64],"MRI":[65],"data,":[66],"while":[67],"captures":[71],"complex":[72],"dependencies":[73],"across":[74],"temporal":[77],"features.":[78],"In":[79],"addition,":[80],"realizes":[83],"joint":[85],"extraction":[87],"of":[88,118],"patients'":[89],"continuous":[90],"variables":[91,94],"discrete":[93],"introducing":[96],"PVEM":[98],"module.":[99],"Experimental":[100],"evaluation":[101],"results":[102,139],"on":[103],"UPENN-GBM":[105],"dataset":[106],"show":[107],"that":[108],"proposed":[110],"exhibits":[112],"excellent":[113],"performance":[114],"predicting":[116],"OS":[117,131],"GBM":[119,134],"not":[123],"only":[124],"provides":[125],"new":[127],"technical":[128],"path":[129],"prediction":[132,138],"patients,":[135],"but":[136],"its":[137],"can":[140],"also":[141],"serve":[142],"as":[143],"an":[144],"important":[145],"reference":[146],"decision-making.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-15T00:00:00"}
