{"id":"https://openalex.org/W4408521102","doi":"https://doi.org/10.1109/bhi62660.2024.10913800","title":"A Novel LSTM and Graph Neural Networks Approach for Cardiovascular Simulations","display_name":"A Novel LSTM and Graph Neural Networks Approach for Cardiovascular Simulations","publication_year":2024,"publication_date":"2024-11-10","ids":{"openalex":"https://openalex.org/W4408521102","doi":"https://doi.org/10.1109/bhi62660.2024.10913800"},"language":"en","primary_location":{"id":"doi:10.1109/bhi62660.2024.10913800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi62660.2024.10913800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5095101217","display_name":"Angelica Iacovelli","orcid":"https://orcid.org/0009-0004-1327-2184"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Angelica Iacovelli","raw_affiliation_strings":["Stanford University,Department of Pediatrics,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Pediatrics,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011050254","display_name":"Luca Pegolotti","orcid":"https://orcid.org/0000-0002-4290-6391"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca Pegolotti","raw_affiliation_strings":["Institute for Computational and Mathematical Engineering, Stanford University,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Institute for Computational and Mathematical Engineering, Stanford University,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001602916","display_name":"Matteo Salvador","orcid":"https://orcid.org/0000-0002-4937-5538"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matteo Salvador","raw_affiliation_strings":["Institute for Computational and Mathematical Engineering, Stanford University,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Institute for Computational and Mathematical Engineering, Stanford University,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023826730","display_name":"Edoardo Stoppa","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edoardo Stoppa","raw_affiliation_strings":["Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907"],"affiliations":[{"raw_affiliation_string":"Purdue University,Department of Computer Science,West Lafayette,IN,USA,47907","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010543929","display_name":"Marco D. Santambrogio","orcid":"https://orcid.org/0000-0002-9883-9693"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco D. Santambrogio","raw_affiliation_strings":["Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milano, MI,Italy,20133"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Department of Electronics, Information and Bioengineering,Milano, MI,Italy,20133","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087790536","display_name":"Alison L. Marsden","orcid":"https://orcid.org/0000-0003-1902-171X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alison Marsden","raw_affiliation_strings":["Stanford University,Department of Bioengineering,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Bioengineering,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5095101217"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.7666,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77845119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.6850000023841858,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.6850000023841858,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.6255000233650208,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/computer-science","display_name":"Computer science","score":0.7542928457260132},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5435890555381775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481862872838974},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46840235590934753},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32744690775871277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542928457260132},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5435890555381775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481862872838974},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46840235590934753},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32744690775871277}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi62660.2024.10913800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi62660.2024.10913800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1873968263","https://openalex.org/W1975274479","https://openalex.org/W2047591100","https://openalex.org/W2064675550","https://openalex.org/W2164504738","https://openalex.org/W2751483430","https://openalex.org/W2963465695","https://openalex.org/W2973886134","https://openalex.org/W2975448098","https://openalex.org/W2979650406","https://openalex.org/W2979786244","https://openalex.org/W2990493671","https://openalex.org/W3211070123","https://openalex.org/W3214626409","https://openalex.org/W4211256529","https://openalex.org/W4316036960","https://openalex.org/W4380789214","https://openalex.org/W4388805587","https://openalex.org/W6767710714","https://openalex.org/W6774033856","https://openalex.org/W6783741718"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,38,59,127,140,172],"novel":[3],"method":[4,53,83,114,154],"that":[5],"integrates":[6],"Long":[7],"Short-Term":[8],"Memory":[9],"(LSTM)":[10],"networks":[11],"with":[12,46],"Graph":[13],"Neural":[14],"Networks":[15],"(GNNs)":[16],"to":[17,32,40,75,94,135,159,163],"build":[18],"reduced-order":[19],"models":[20,25],"of":[21,79,87],"cardiovascular":[22,35,179],"simulations.":[23,50],"Reduced-order":[24],"are":[26],"often":[27],"used":[28],"as":[29],"an":[30],"alternative":[31],"full":[33],"three-dimensional":[34],"simulations,":[36],"providing":[37,171],"way":[39],"simplify":[41],"the":[42,77,80,85,88,105,110,136,157,161,169],"computational":[43,106,144],"demands":[44],"associated":[45],"fully":[47],"detailed":[48],"3D":[49],"The":[51],"proposed":[52],"encodes":[54],"blood":[55,120],"fluid":[56],"dynamics":[57],"within":[58],"MeshGraphNet-based":[60,137],"framework,":[61],"which":[62],"is":[63],"particularly":[64],"effective":[65],"in":[66,130,143],"modeling":[67],"complex":[68],"physical":[69],"systems":[70],"by":[71,91,149],"leveraging":[72],"graph":[73],"structures":[74],"represent":[76],"state":[78],"system.":[81],"Our":[82,153],"extends":[84],"capabilities":[86],"original":[89],"framework":[90,138],"incorporating":[92],"LSTMs":[93],"capture":[95],"long-term":[96],"dependencies,":[97],"thereby":[98],"improving":[99],"predictive":[100],"accuracy":[101],"and":[102,122,139,174],"significantly":[103],"reducing":[104,146],"resources":[107],"required":[108],"for":[109,119,177],"training":[111,147],"process.":[112],"This":[113],"achieves":[115],"errors":[116],"below":[117],"2%":[118],"pressure":[121],"flow":[123],"rate":[124],"predictions,":[125],"showcasing":[126],"65%":[128],"improvement":[129],"average":[131],"error":[132],"rates":[133],"compared":[134],"notable":[141],"increase":[142],"efficiency,":[145],"time":[148],"at":[150],"least":[151],"57%.":[152],"also":[155],"introduces":[156],"ability":[158],"adapt":[160],"simulation":[162],"different":[164],"cardiac":[165],"cycles":[166],"depending":[167],"on":[168],"patient,":[170],"robust":[173],"efficient":[175],"tool":[176],"patient-specific":[178],"modeling.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}