{"id":"https://openalex.org/W4392909484","doi":"https://doi.org/10.1109/icassp48485.2024.10446734","title":"A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction","display_name":"A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909484","doi":"https://doi.org/10.1109/icassp48485.2024.10446734"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5113012234","display_name":"Xingcan Hu","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":"Xingcan Hu","raw_affiliation_strings":["University of Science and Technology of China,Department of Electronic Engineering and Information Science,Hefei,China,230052","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Department of Electronic Engineering and Information Science,Hefei,China,230052","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014101639","display_name":"Li Xiao","orcid":"https://orcid.org/0000-0001-7108-8378"},"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":"Li Xiao","raw_affiliation_strings":["University of Science and Technology of China,Department of Electronic Engineering and Information Science,Hefei,China,230052","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Department of Electronic Engineering and Information Science,Hefei,China,230052","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339106","display_name":"Yu\u2010Ping Wang","orcid":"https://orcid.org/0000-0001-9340-5864"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Ping Wang","raw_affiliation_strings":["Tulane University,Department of Biomedical Engineering,New Orleans,LA,USA,70118"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University,Department of Biomedical Engineering,New Orleans,LA,USA,70118","institution_ids":["https://openalex.org/I114832834"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6449,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6755134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1571","last_page":"1575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9898999929428101,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9898999929428101,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9311000108718872,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9182000160217285,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/glioblastoma","display_name":"Glioblastoma","score":0.6742781400680542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6208872199058533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5775339603424072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4746078848838806},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4654211699962616},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1750451624393463},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.165662944316864}],"concepts":[{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.6742781400680542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208872199058533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5775339603424072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4746078848838806},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4654211699962616},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1750451624393463},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.165662944316864},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5199999809265137,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G2293958093","display_name":null,"funder_award_id":"2208085QF188","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G2795523531","display_name":null,"funder_award_id":"62202442","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"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2083927153","https://openalex.org/W2098341282","https://openalex.org/W2145979309","https://openalex.org/W2402346616","https://openalex.org/W2767128594","https://openalex.org/W2889488215","https://openalex.org/W2900298334","https://openalex.org/W2964015378","https://openalex.org/W2965512201","https://openalex.org/W3029965401","https://openalex.org/W3146732633","https://openalex.org/W3164989023","https://openalex.org/W3203244649","https://openalex.org/W4205424895","https://openalex.org/W4206344290","https://openalex.org/W4210572355","https://openalex.org/W4288708085","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4300690456","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6755891590"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W1602805286","https://openalex.org/W4396701345","https://openalex.org/W4225917631","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2088686453"],"abstract_inverted_index":{"Patients":[0],"with":[1,87,176],"glioblastoma":[2],"(GBM)":[3],"have":[4],"a":[5,21,98,124],"poor":[6],"survival":[7,32,53,92,173],"rate.":[8],"In":[9,34],"order":[10],"to":[11,39,50,117,150],"facilitate":[12],"early":[13],"interventions":[14],"and":[15,147],"personalized":[16],"therapeutic":[17],"treatment,":[18],"there":[19],"is":[20,115,141],"pressing":[22],"need":[23],"for":[24,29,90,144],"employing":[25],"routine":[26],"non-invasive":[27],"MRI":[28],"preoperative":[30],"GBM":[31,155],"prediction.":[33,93],"this":[35],"paper,":[36],"we":[37,95],"investigate":[38],"what":[40],"extent":[41],"regional":[42],"radiomics":[43,64,88,133],"similarity":[44,89],"networks":[45],"(R2SNs)":[46],"can":[47,77],"be":[48],"used":[49,62],"predict":[51,151],"overall":[52],"(OS)":[54],"time":[55,153],"in":[56,111],"GBM.":[57],"Different":[58],"from":[59],"the":[60,75,81,112,119,131,160,166,177],"widely":[61],"MRI-derived":[63],"features":[65],"that":[66],"focus":[67],"on":[68,159],"single":[69],"or":[70],"several":[71],"brain":[72,85,127],"regions":[73,86,128],"independently,":[74],"R2SNs":[76],"take":[78],"into":[79],"account":[80],"potential":[82],"associations":[83],"among":[84],"improved":[91],"Specifically,":[94],"first":[96],"introduce":[97],"distance":[99,105],"correlation":[100,106,110],"based":[101,172],"R2SN":[102],"(DC-R2SN),":[103],"where":[104],"(instead":[107],"of":[108,126,154,168],"Pearson\u2019s":[109],"traditional":[113],"R2SN)":[114],"adopted":[116],"measure":[118],"more":[120],"complex":[121],"interactions":[122],"between":[123],"pair":[125],"defined":[129],"by":[130],"corresponding":[132],"features.":[134],"A":[135],"graph":[136],"neural":[137],"network":[138],"(GNN)":[139],"framework":[140,175],"then":[142],"proposed":[143,170],"fusing":[145],"DCR2SNs":[146],"clinical":[148],"data":[149],"OS":[152],"patients.":[156],"Experimental":[157],"results":[158],"publicly":[161],"available":[162],"UPenn-GBM":[163],"database":[164],"demonstrate":[165],"effectiveness":[167],"our":[169],"GNN":[171],"prediction":[174],"DC-R2SNs.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
