{"id":"https://openalex.org/W4394652574","doi":"https://doi.org/10.1109/tmi.2026.3681722","title":"Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment","display_name":"Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W4394652574","doi":"https://doi.org/10.1109/tmi.2026.3681722","pmid":"https://pubmed.ncbi.nlm.nih.gov/41950128"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2026.3681722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3681722","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.04718","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085796152","display_name":"Prasun C. Tripathi","orcid":null},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Prasun C. Tripathi","raw_affiliation_strings":["School of Computer Science, University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1536-6286","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077160944","display_name":"Sina Tabakhi","orcid":"https://orcid.org/0000-0002-3075-7907"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sina Tabakhi","raw_affiliation_strings":["School of Computer Science, University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3075-7907","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062537080","display_name":"Mohammod N. I. Suvon","orcid":null},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohammod N. I. Suvon","raw_affiliation_strings":["School of Computer Science, University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9962-315X","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011477702","display_name":"Lawrence Sch\u00f6b","orcid":null},"institutions":[{"id":"https://openalex.org/I3130511786","display_name":"Institute of Infrastructure Technology Research and Management","ror":"https://ror.org/059me1x50","country_code":"IN","type":"education","lineage":["https://openalex.org/I3130511786"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lawrence Sch\u00f6bs","raw_affiliation_strings":["Department of Electrical and Computer Science Engineering, Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, Gujarat, India"],"raw_orcid":"https://orcid.org/0000-0001-6942-1194","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Science Engineering, Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I3130511786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083160550","display_name":"Samer Alabed","orcid":"https://orcid.org/0000-0002-9960-7587"},"institutions":[{"id":"https://openalex.org/I4210147861","display_name":"Insigneo","ror":"https://ror.org/04ve58z79","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210147861"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Samer Alabed","raw_affiliation_strings":["School of Medicine and Population Health and the Institute for in Silico Medicine (INSIGNEO), University of Sheffield, Sheffield, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine and Population Health and the Institute for in Silico Medicine (INSIGNEO), University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I4210147861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031891009","display_name":"Andrew J. Swift","orcid":"https://orcid.org/0000-0002-8772-409X"},"institutions":[{"id":"https://openalex.org/I4210147861","display_name":"Insigneo","ror":"https://ror.org/04ve58z79","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210147861"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew J. Swift","raw_affiliation_strings":["School of Medicine and Population Health and the Institute for in Silico Medicine (INSIGNEO), University of Sheffield, Sheffield, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine and Population Health and the Institute for in Silico Medicine (INSIGNEO), University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I4210147861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076863723","display_name":"Shuo Zhou","orcid":"https://orcid.org/0000-0002-8069-2814"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shuo Zhou","raw_affiliation_strings":["School of Computer Science, University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8069-2814","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009807039","display_name":"Haiping Lu","orcid":"https://orcid.org/0000-0002-0349-2181"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haiping Lu","raw_affiliation_strings":["School of Computer Science, University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0349-2181","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00262387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"45","issue":"7","first_page":"3637","last_page":"3648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.8848000168800354,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.8848000168800354,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.7789999842643738,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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":0.7721999883651733,"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/hemodynamics","display_name":"Hemodynamics","score":0.6485404372215271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41147342324256897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37039685249328613},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36008352041244507},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3125779628753662},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.30058297514915466}],"concepts":[{"id":"https://openalex.org/C178853913","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Hemodynamics","level":2,"score":0.6485404372215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41147342324256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37039685249328613},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36008352041244507},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3125779628753662},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.30058297514915466}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011669","descriptor_name":"Pulmonary Wedge Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D011669","descriptor_name":"Pulmonary Wedge Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2026.3681722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3681722","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41950128","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41950128","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2404.04718","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.04718","pdf_url":"https://arxiv.org/pdf/2404.04718","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:eprints.whiterose.ac.uk:242635","is_oa":true,"landing_page_url":"https://orcid.org/0000-0003-1536-6286>,","pdf_url":"https://eprints.whiterose.ac.uk/id/eprint/242635/1/HemodynamicsAssessment_TMI2026.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2404.04718","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.04718","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.04718","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.04718","pdf_url":"https://arxiv.org/pdf/2404.04718","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1619291642","display_name":"Stratification and phenotyping of pulmonary vascular disease with imaging","funder_award_id":"205188/Z/16/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G2946972371","display_name":"Developing a machine learning tool to improve prognostic and treatment response assessment on cardiac MRI data","funder_award_id":"215799/Z/19/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G4367046259","display_name":"Developing an AI-powered system for enhanced pulmonary hypertension imaging assessments","funder_award_id":"FS/SCRF/24/32034","funder_id":"https://openalex.org/F4320319992","funder_display_name":"British Heart Foundation"},{"id":"https://openalex.org/G6570491827","display_name":null,"funder_award_id":"NIHR203321","funder_id":"https://openalex.org/F4320312008","funder_display_name":"National Institute for Health and Care Excellence"}],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320312008","display_name":"National Institute for Health and Care Excellence","ror":"https://ror.org/015ah0c92"},{"id":"https://openalex.org/F4320319992","display_name":"British Heart Foundation","ror":"https://ror.org/02wdwnk04"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394652574.pdf","grobid_xml":"https://content.openalex.org/works/W4394652574.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W2748952813","https://openalex.org/W1531601525"],"abstract_inverted_index":{"Pulmonary":[0],"Arterial":[1],"Wedge":[2],"Pressure":[3],"(PAWP)":[4],"is":[5,21,138,186],"an":[6],"essential":[7],"cardiovascular":[8],"hemodynamics":[9,29],"marker":[10],"to":[11,36,53,92,179],"detect":[12],"heart":[13],"failure.":[14],"In":[15,44],"clinical":[16],"practice,":[17],"Right":[18],"Heart":[19],"Catheterization":[20],"considered":[22],"a":[23,41,49,88,129,145,181],"gold":[24],"standard":[25],"for":[26,97],"assessing":[27],"cardiac":[28],"while":[30],"non-invasive":[31],"methods":[32,160],"are":[33],"often":[34],"needed":[35],"screen":[37,180],"high-risk":[38],"patients":[39],"from":[40,61,80,151],"large":[42,146,182],"population.":[43,183],"this":[45],"paper,":[46],"we":[47,100],"propose":[48,87],"multimodal":[50],"learning":[51],"pipeline":[52,137,143,175],"predict":[54],"PAWP":[55],"marker.":[56],"We":[57,76,86,116,140],"utilize":[58],"complementary":[59],"information":[60],"Cardiac":[62],"Magnetic":[63],"Resonance":[64],"Imaging":[65],"(CMR)":[66],"scans":[67,82],"(short-axis":[68],"and":[69,71,106,125,132],"four-chamber)":[70],"Electronic":[72],"Health":[73],"Records":[74],"(EHRs).":[75],"extract":[77],"spatio-temporal":[78],"features":[79,96],"CMR":[81],"using":[83,112],"tensor-based":[84],"learning.":[85],"graph":[89,104,110],"attention":[90,114],"network":[91],"select":[93],"important":[94],"EHR":[95],"prediction,":[98],"where":[99],"model":[101],"subjects":[102,150],"as":[103,109],"nodes":[105],"feature":[107,119],"relationships":[108],"edges":[111],"the":[113,162],"mechanism.":[115],"design":[117],"four":[118],"fusion":[120,134],"strategies:":[121],"early,":[122],"intermediate,":[123],"late,":[124],"hybrid":[126],"fusion.":[127],"With":[128],"linear":[130,133],"classifier":[131],"strategies,":[135],"our":[136,142,152,165,174],"interpretable.":[139],"validate":[141],"on":[144],"dataset":[147],"of":[148,164],"${2},{641}$":[149],"ASPIRE":[153],"registry.":[154],"The":[155,167,184],"comparative":[156],"study":[157],"against":[158],"state-of-the-art":[159],"confirms":[161],"superiority":[163],"pipeline.":[166],"decision":[168],"curve":[169],"analysis":[170],"further":[171],"validates":[172],"that":[173],"can":[176],"be":[177],"applied":[178],"code":[185],"available":[187],"at":[188],"https://github.com/prasunc/hemodynamics.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2024-04-11T00:00:00"}
