{"id":"https://openalex.org/W7142192733","doi":"https://doi.org/10.1016/j.compbiomed.2026.111649","title":"Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms","display_name":"Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms","publication_year":2026,"publication_date":"2026-03-28","ids":{"openalex":"https://openalex.org/W7142192733","doi":"https://doi.org/10.1016/j.compbiomed.2026.111649","pmid":"https://pubmed.ncbi.nlm.nih.gov/41905249"},"language":"en","primary_location":{"id":"doi:10.1016/j.compbiomed.2026.111649","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2026.111649","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compbiomed.2026.111649","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130843057","display_name":"Ugo Pelissier","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I4210094701","display_name":"Centre de Mise en Forme des Mat\u00e9riaux","ror":"https://ror.org/00qm1ye08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210094701","https://openalex.org/I4210095849","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ugo Pelissier","raw_affiliation_strings":["Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Sophia Antipolis, 06904, France. Electronic address: ugo.pelissier@etu.minesparis.psl.eu"],"raw_orcid":"https://orcid.org/0000-0001-7691-0260","affiliations":[{"raw_affiliation_string":"Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Sophia Antipolis, 06904, France. Electronic address: ugo.pelissier@etu.minesparis.psl.eu","institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I4210094701","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028378587","display_name":"Philippe M\u00e9liga","orcid":"https://orcid.org/0000-0001-9889-0520"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I4210094701","display_name":"Centre de Mise en Forme des Mat\u00e9riaux","ror":"https://ror.org/00qm1ye08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210094701","https://openalex.org/I4210095849","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Meliga","raw_affiliation_strings":["Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Sophia Antipolis, 06904, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Sophia Antipolis, 06904, France","institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I4210094701","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005367331","display_name":"Elie Hachem","orcid":"https://orcid.org/0000-0002-2202-6397"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I4210094701","display_name":"Centre de Mise en Forme des Mat\u00e9riaux","ror":"https://ror.org/00qm1ye08","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210094701","https://openalex.org/I4210095849","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elie Hachem","raw_affiliation_strings":["Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Sophia Antipolis, 06904, France. Electronic address: elie.hachem@minesparis.psl.eu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Fluids Research Group (CFL), Center for Material Forming (CEMEF), Mines Paris, PSL University, UMR7635 CNRS, Sophia Antipolis, 06904, France. Electronic address: elie.hachem@minesparis.psl.eu","institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I4210094701","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5130843057"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2746051580","https://openalex.org/I4210094701"],"apc_list":{"value":2610,"currency":"USD","value_usd":2610},"apc_paid":{"value":2610,"currency":"USD","value_usd":2610},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65150304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"208","issue":null,"first_page":"111649","last_page":"111649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.8068000078201294,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.8068000078201294,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.08030000329017639,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.07090000063180923,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5888000130653381},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5394999980926514},{"id":"https://openalex.org/keywords/intracranial-thrombosis","display_name":"Intracranial Thrombosis","score":0.4564000070095062},{"id":"https://openalex.org/keywords/thrombosis","display_name":"Thrombosis","score":0.3864000141620636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37959998846054077},{"id":"https://openalex.org/keywords/multiphysics","display_name":"Multiphysics","score":0.3522000014781952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557000279426575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964000225067139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5888000130653381},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5394999980926514},{"id":"https://openalex.org/C2909041971","wikidata":"https://www.wikidata.org/wiki/Q261327","display_name":"Intracranial Thrombosis","level":4,"score":0.4564000070095062},{"id":"https://openalex.org/C2780868729","wikidata":"https://www.wikidata.org/wiki/Q261327","display_name":"Thrombosis","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37959998846054077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3756999969482422},{"id":"https://openalex.org/C46435376","wikidata":"https://www.wikidata.org/wiki/Q1829750","display_name":"Multiphysics","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.33550000190734863},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.2784999907016754}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002532","descriptor_name":"Intracranial Aneurysm","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002532","descriptor_name":"Intracranial Aneurysm","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D002532","descriptor_name":"Intracranial Aneurysm","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013927","descriptor_name":"Thrombosis","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1016/j.compbiomed.2026.111649","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2026.111649","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},{"id":"pmid:41905249","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41905249","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in biology and medicine","raw_type":null}],"best_oa_location":{"id":"doi:10.1016/j.compbiomed.2026.111649","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2026.111649","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1482392342","https://openalex.org/W1554485051","https://openalex.org/W1592360854","https://openalex.org/W1856712614","https://openalex.org/W1964509762","https://openalex.org/W1983992802","https://openalex.org/W1993810491","https://openalex.org/W1998649608","https://openalex.org/W1998762602","https://openalex.org/W2040733193","https://openalex.org/W2047974666","https://openalex.org/W2078526290","https://openalex.org/W2084076985","https://openalex.org/W2093717102","https://openalex.org/W2103413070","https://openalex.org/W2108156759","https://openalex.org/W2119587032","https://openalex.org/W2143671723","https://openalex.org/W2144338223","https://openalex.org/W2149305144","https://openalex.org/W2163466561","https://openalex.org/W2302543383","https://openalex.org/W2322426672","https://openalex.org/W2528381731","https://openalex.org/W2784493672","https://openalex.org/W2944777480","https://openalex.org/W2980539172","https://openalex.org/W2985630280","https://openalex.org/W2988204402","https://openalex.org/W2991521974","https://openalex.org/W2996023173","https://openalex.org/W3034116051","https://openalex.org/W3195854682","https://openalex.org/W4224273041","https://openalex.org/W4388654737","https://openalex.org/W4399983500","https://openalex.org/W4401694747","https://openalex.org/W4404120458","https://openalex.org/W4412523340"],"related_works":[],"abstract_inverted_index":{"Intracranial":[0],"aneurysms":[1],"are":[2,75],"pathological":[3],"dilations":[4],"of":[5,10,22,57,168,198],"cerebral":[6],"arteries":[7],"affecting":[8],"3-5%":[9],"the":[11,42,54,124,166,196],"population.":[12],"Their":[13],"rupture":[14],"can":[15,69,120],"cause":[16],"subarachnoid":[17],"hemorrhage,":[18],"a":[19,85,169],"severe":[20],"form":[21],"stroke":[23],"with":[24],"high":[25],"mortality":[26],"and":[27,34,62,145,219,244],"morbidity.":[28],"Endovascular":[29],"treatments,":[30],"such":[31],"as":[32],"coiling":[33],"flow":[35],"diversion,":[36],"aim":[37],"to":[38,53,88,148,155,174,239],"induce":[39],"thrombosis":[40],"within":[41],"aneurysmal":[43],"sac.":[44],"Clinicians":[45],"face":[46],"challenges":[47],"in":[48,128,135,178,195],"predicting":[49],"clot":[50],"formation":[51,177],"due":[52],"complex":[55],"interplay":[56],"blood":[58],"flow,":[59],"platelet":[60],"transport,":[61],"biochemical":[63],"reactions.":[64],"Computational":[65,96,129],"Fluid":[66,97,130],"Dynamics":[67,98,131],"models":[68,211],"provide":[70],"valuable":[71,190],"hemodynamic":[72],"insights":[73,191],"but":[74],"computationally":[76],"prohibitive":[77],"for":[78,202,212,250],"real-time":[79],"clinical":[80,251],"decision-making.":[81],"Machine":[82],"Learning":[83],"offers":[84],"promising":[86],"alternative":[87],"usual":[89],"Finite":[90],"Element":[91],"solvers":[92],"by":[93,110],"learning":[94,194],"on":[95,113,123,185,192],"simulation":[99],"data.":[100],"Early":[101],"approaches":[102],"based":[103],"from":[104],"Convolutional":[105],"Neural":[106,118,138,172,200,225],"Networks":[107,119,201],"were":[108],"limited":[109],"their":[111,153],"reliance":[112],"structured":[114],"grids,":[115],"while":[116,230],"Graph":[117,137,171,199,224],"naturally":[121],"operate":[122],"unstructured":[125],"meshes":[126],"used":[127],"simulations.":[132,204],"Recent":[133],"advances":[134],"Transformer-based":[136,170,223],"Network":[139,173,226],"architectures":[140],"have":[141],"demonstrated":[142],"superior":[143],"accuracy":[144,229],"efficiency":[146],"compared":[147],"classical":[149],"message-passing":[150],"models.":[151],"Yet,":[152],"application":[154],"multi":[156,186],"physics":[157,187],"problems":[158],"remains":[159],"unexplored.":[160],"In":[161],"this":[162],"work,":[163],"we":[164],"investigate":[165],"use":[167],"predict":[175],"thrombus":[176],"patient-specific":[179],"IA":[180],"geometries.":[181],"Our":[182,205],"framework,":[183],"trained":[184],"simulations,":[188],"provides":[189],"multitask":[193],"context":[197],"physical":[203,214],"results":[206],"show":[207],"that":[208],"training":[209],"separate":[210],"each":[213],"field":[215],"yields":[216],"better":[217],"performance":[218],"enables":[220],"parallelization.":[221],"The":[222,235],"achieves":[227],"state-of-the-art":[228],"significantly":[231],"reducing":[232],"computational":[233],"cost.":[234],"model":[236],"demonstrates":[237],"robustness":[238],"unseen":[240],"inflow":[241],"boundary":[242],"conditions":[243],"cardiac":[245],"cycles,":[246],"highlighting":[247],"its":[248],"potential":[249],"applications.":[252]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-03-29T00:00:00"}
