{"id":"https://openalex.org/W3126981599","doi":"https://doi.org/10.1109/tmi.2021.3057496","title":"Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability","display_name":"Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability","publication_year":2021,"publication_date":"2021-02-06","ids":{"openalex":"https://openalex.org/W3126981599","doi":"https://doi.org/10.1109/tmi.2021.3057496","mag":"3126981599","pmid":"https://pubmed.ncbi.nlm.nih.gov/33544670"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3057496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3057496","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":["crossref","pubmed"],"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/A5030446633","display_name":"Bente Thamsen","orcid":"https://orcid.org/0000-0002-1300-7637"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"B. Thamsen","raw_affiliation_strings":["Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013590093","display_name":"Pavlo Yevtushenko","orcid":"https://orcid.org/0000-0003-0796-8922"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"P. Yevtushenko","raw_affiliation_strings":["Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070622808","display_name":"Lina Gundelwein","orcid":"https://orcid.org/0000-0002-1585-0660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Gundelwein","raw_affiliation_strings":["Firm 1000shapes, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1585-0660","affiliations":[{"raw_affiliation_string":"Firm 1000shapes, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083631804","display_name":"Arnaud A. A. Setio","orcid":"https://orcid.org/0000-0002-5447-4434"},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. A. A. Setio","raw_affiliation_strings":["Siemens Healthineers, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5447-4434","affiliations":[{"raw_affiliation_string":"Siemens Healthineers, Erlangen, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078148971","display_name":"Hans Lamecker","orcid":"https://orcid.org/0000-0001-6320-2564"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Lamecker","raw_affiliation_strings":["Firm 1000shapes, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6320-2564","affiliations":[{"raw_affiliation_string":"Firm 1000shapes, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000810896","display_name":"Marcus Kelm","orcid":"https://orcid.org/0000-0003-4971-0452"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Kelm","raw_affiliation_strings":["Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064832116","display_name":"Marie Schafstedde","orcid":"https://orcid.org/0000-0002-4860-8010"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Schafstedde","raw_affiliation_strings":["Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4860-8010","affiliations":[{"raw_affiliation_string":"Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109552631","display_name":"T. Heimann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthineers (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Heimann","raw_affiliation_strings":["Siemens Healthineers, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Healthineers, Erlangen, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027026850","display_name":"Titus K\u00fchne","orcid":"https://orcid.org/0000-0003-1631-4824"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Kuehne","raw_affiliation_strings":["Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1631-4824","affiliations":[{"raw_affiliation_string":"Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014825828","display_name":"Leonid Goubergrits","orcid":"https://orcid.org/0000-0002-1961-3179"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"L. Goubergrits","raw_affiliation_strings":["Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1961-3179","affiliations":[{"raw_affiliation_string":"Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3595,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9282758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"40","issue":"5","first_page":"1438","last_page":"1449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10300","display_name":"Congenital Heart Disease Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12067","display_name":"Renal and Vascular Pathologies","score":0.995199978351593,"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/T10983","display_name":"Aortic aneurysm repair treatments","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hemodynamics","display_name":"Hemodynamics","score":0.8119698762893677},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4751339256763458},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.4620937407016754},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4449206292629242},{"id":"https://openalex.org/keywords/aorta","display_name":"Aorta","score":0.43450677394866943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41996920108795166},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3712526261806488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35703951120376587},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.346262127161026},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.336670458316803}],"concepts":[{"id":"https://openalex.org/C178853913","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Hemodynamics","level":2,"score":0.8119698762893677},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4751339256763458},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.4620937407016754},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4449206292629242},{"id":"https://openalex.org/C2779980429","wikidata":"https://www.wikidata.org/wiki/Q101004","display_name":"Aorta","level":2,"score":0.43450677394866943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41996920108795166},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3712526261806488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35703951120376587},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.346262127161026},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.336670458316803}],"mesh":[{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001017","descriptor_name":"Aortic Coarctation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001017","descriptor_name":"Aortic Coarctation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001017","descriptor_name":"Aortic Coarctation","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","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":"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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","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":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","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":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2021.3057496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3057496","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:33544670","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33544670","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4997311524","display_name":null,"funder_award_id":"FKZ 13GW0208B","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320329666","display_name":"Berlin Institute of Health","ror":"https://ror.org/0493xsw21"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W91348777","https://openalex.org/W1535051704","https://openalex.org/W1539988861","https://openalex.org/W1583648354","https://openalex.org/W1988505891","https://openalex.org/W2009733825","https://openalex.org/W2027177686","https://openalex.org/W2028781206","https://openalex.org/W2091470300","https://openalex.org/W2101263248","https://openalex.org/W2117179898","https://openalex.org/W2138987052","https://openalex.org/W2153599898","https://openalex.org/W2157530162","https://openalex.org/W2170799543","https://openalex.org/W2216298685","https://openalex.org/W2295124130","https://openalex.org/W2300353974","https://openalex.org/W2327952643","https://openalex.org/W2339392677","https://openalex.org/W2363533051","https://openalex.org/W2587977587","https://openalex.org/W2604944342","https://openalex.org/W2607099185","https://openalex.org/W2608590106","https://openalex.org/W2638183100","https://openalex.org/W2746022654","https://openalex.org/W2800264344","https://openalex.org/W2895763047","https://openalex.org/W2910050642","https://openalex.org/W2963758713","https://openalex.org/W2979468952","https://openalex.org/W3018119698","https://openalex.org/W3028638456","https://openalex.org/W6703733889","https://openalex.org/W6776108485"],"related_works":["https://openalex.org/W3021493803","https://openalex.org/W2257755506","https://openalex.org/W2128757228","https://openalex.org/W2011111248","https://openalex.org/W4256129901","https://openalex.org/W2002934375","https://openalex.org/W2006468016","https://openalex.org/W2912860444","https://openalex.org/W2467171063","https://openalex.org/W2386180798"],"abstract_inverted_index":{"Modeling":[0],"of":[1,38,53,62,66,82,104,107,130,163,175,211,230],"hemodynamics":[2,17,158,194,221],"and":[3,13,22,44,90,110,133,138,144,157,159,182,190,220,233],"artificial":[4],"intelligence":[5],"have":[6],"great":[7],"potential":[8],"to":[9,42,59,85,114,151,160,226,240],"support":[10],"clinical":[11,60,118,171],"diagnosis":[12],"decision":[14],"making.":[15],"While":[16],"modeling":[18,129],"is":[19,222],"extremely":[20],"time-":[21],"resource-consuming,":[23],"machine":[24],"learning":[25],"(ML)":[26],"typically":[27],"requires":[28],"large":[29,51,231],"training":[30],"data":[31,79,98,217],"that":[32],"are":[33],"often":[34],"unavailable.":[35],"The":[36,120,197],"aim":[37],"this":[39],"study":[40],"was":[41,185],"develop":[43],"evaluate":[45],"a":[46,50,70,170,206,223,235],"novel":[47,198],"methodology":[48,121],"generating":[49,122],"database":[52,174],"synthetic":[54,124,165,177,216],"cases":[55,178],"with":[56,64,75,169,179,205],"characteristics":[57],"similar":[58],"cohorts":[61],"patients":[63,100],"coarctation":[65],"the":[67,117,123,153,164,201,228],"aorta":[68,134],"(CoA),":[69],"congenital":[71],"heart":[72],"disease":[73],"associated":[74],"abnormal":[76],"hemodynamics.":[77,94],"Synthetic":[78],"allows":[80],"use":[81],"ML":[83,239],"approaches":[84],"investigate":[86,152],"aortic":[87,108,131],"morphometric":[88],"pathology":[89],"its":[91],"influence":[92],"on":[93],"Magnetic":[95],"resonance":[96],"imaging":[97],"(154":[99],"as":[101,103],"well":[102],"healthy":[105],"subjects)":[106],"shape":[109,128,181,188],"flow":[111,136,140],"were":[112,148,195],"used":[113,150],"statistically":[115],"characterize":[116],"cohort.":[119,172],"cohort":[125,166],"combined":[126],"statistical":[127],"morphometry":[132,156],"inlet":[135],"fields":[137],"numerical":[139],"simulations.":[141],"Hierarchical":[142],"clustering":[143],"non-linear":[145],"regression":[146],"analysis":[147],"successfully":[149],"relationship":[154],"between":[155],"demonstrate":[161],"credibility":[162],"by":[167],"comparison":[168],"A":[173],"2652":[176],"realistic":[180],"hemodynamic":[183],"properties":[184],"generated.":[186],"Three":[187],"clusters":[189],"respective":[191],"differences":[192],"in":[193],"identified.":[196],"model":[199],"predicts":[200],"CoA":[202],"pressure":[203],"gradient":[204],"root":[207],"mean":[208],"square":[209],"error":[210],"4.6":[212],"mmHg.":[213],"In":[214],"conclusion,":[215],"for":[218,238],"anatomy":[219],"suitable":[224],"means":[225],"address":[227],"lack":[229],"datasets":[232],"provide":[234],"powerful":[236],"basis":[237],"gain":[241],"new":[242],"insights":[243],"into":[244],"cardiovascular":[245],"diseases.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}