乐胖代购免代理版

{"id":"https://openalex.org/W4313531666","doi":"https://doi.org/10.1016/j.compbiomed.2022.106528","title":"Quantifying the impact of shape uncertainty on predicted arrhythmias","display_name":"Quantifying the impact of shape uncertainty on predicted arrhythmias","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4313531666","doi":"https://doi.org/10.1016/j.compbiomed.2022.106528","pmid":"https://pubmed.ncbi.nlm.nih.gov/36634600"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2022.106528","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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compbiomed.2022.106528","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045384103","display_name":"Cesare Corrado","orcid":"https://orcid.org/0000-0002-8914-8735"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Cesare Corrado","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064867651","display_name":"Caroline H. Roney","orcid":"https://orcid.org/0000-0001-6809-0928"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Caroline H. Roney","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019828522","display_name":"Orod Razeghi","orcid":"https://orcid.org/0000-0003-4989-5565"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Orod Razeghi","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","UCL Centre for Advanced Research Computing, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"UCL Centre for Advanced Research Computing, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024349952","display_name":"J Alonso Solis Lemus","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jos\u00e8 Alonso Sol\u00eds Lemus","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042115659","display_name":"Sam Coveney","orcid":"https://orcid.org/0000-0002-7134-3196"},"institutions":[{"id":"https://openalex.org/I4210147861","display_name":"Insigneo","ror":"https://ror.org/04ve58z79","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210147861"]},{"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":"Sam Coveney","raw_affiliation_strings":["Insigneo Institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Insigneo Institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I4210147861","https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039234350","display_name":"Iain Sim","orcid":"https://orcid.org/0000-0001-7090-4011"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iain Sim","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060467802","display_name":"Steven E. Williams","orcid":"https://orcid.org/0000-0002-7266-2084"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven E. Williams","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030567923","display_name":"Mark O\u2019Neill","orcid":"https://orcid.org/0000-0002-6070-7177"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark D. O\u2019Neill","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736119","display_name":"R. Wilkinson","orcid":"https://orcid.org/0000-0001-7729-7023"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard D. Wilkinson","raw_affiliation_strings":["School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058791528","display_name":"Richard H. Clayton","orcid":"https://orcid.org/0000-0002-8438-7518"},"institutions":[{"id":"https://openalex.org/I4210147861","display_name":"Insigneo","ror":"https://ror.org/04ve58z79","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210147861"]},{"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":"Richard H. Clayton","raw_affiliation_strings":["Insigneo Institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Insigneo Institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I4210147861","https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000435552","display_name":"Steven Niederer","orcid":"https://orcid.org/0000-0002-4612-6982"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven A. Niederer","raw_affiliation_strings":["Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Division of Imaging Sciences & Biomedical Engineering, King's College London, London SE17EH, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045384103"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":{"value":2610,"currency":"USD","value_usd":2610,"provenance":"doaj"},"apc_paid":{"value":2610,"currency":"USD","value_usd":2610,"provenance":"doaj"},"fwci":3.915,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":7,"citation_normalized_percentile":{"value":0.999959,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":"153","issue":null,"first_page":"106528","last_page":"106528"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9859,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9859,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.982,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9784,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cardiac-electrophysiology","display_name":"Cardiac Electrophysiology","score":0.622365},{"id":"https://openalex.org/keywords/atrium","display_name":"Atrium (architecture)","score":0.4613936}],"concepts":[{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.6957993},{"id":"https://openalex.org/C61381695","wikidata":"https://www.wikidata.org/wiki/Q3302130","display_name":"Cardiac electrophysiology","level":3,"score":0.622365},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.50524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46559605},{"id":"https://openalex.org/C114021368","wikidata":"https://www.wikidata.org/wiki/Q189265","display_name":"Atrium (architecture)","level":3,"score":0.4613936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4521239},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.44358182},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4333055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42721632},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.41772142},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41121247},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34063554},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.30220202},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.268555},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.24884263},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24737042},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23230863},{"id":"https://openalex.org/C185263204","wikidata":"https://www.wikidata.org/wiki/Q1154774","display_name":"Electrophysiology","level":2,"score":0.15235859}],"mesh":[{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017115","descriptor_name":"Catheter Ablation","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005355","descriptor_name":"Fibrosis","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005682","descriptor_name":"Gadolinium","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006325","descriptor_name":"Heart Atria","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"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":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2022.106528","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},{"is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/94408","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/94408/2/Roney%20Quantifying%20the%20impact%202023%20Published.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":["Queen Mary University of London"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/0bab9417-8c47-4c4b-9d0d-c3bdf256f86d","pdf_url":"https://kclpure.kcl.ac.uk/portal/files/194217290/1_s2.0_S0010482522012367_main.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":["King's College London"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/ws/files/194217290/1_s2.0_S0010482522012367_main.pdf","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/194217290/1_s2.0_S0010482522012367_main.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":["King's College London"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36634600","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2022.106528","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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":51,"referenced_works":["https://openalex.org/W1553382600","https://openalex.org/W1597576211","https://openalex.org/W1983002424","https://openalex.org/W1995070248","https://openalex.org/W2028835002","https://openalex.org/W2036816448","https://openalex.org/W2083437884","https://openalex.org/W2088742606","https://openalex.org/W2091201647","https://openalex.org/W2104749146","https://openalex.org/W2116386621","https://openalex.org/W2117307768","https://openalex.org/W2127538964","https://openalex.org/W2138532750","https://openalex.org/W2145674044","https://openalex.org/W2340069045","https://openalex.org/W2342019105","https://openalex.org/W2342217327","https://openalex.org/W2511327285","https://openalex.org/W2533070597","https://openalex.org/W2555563702","https://openalex.org/W2559930736","https://openalex.org/W25713472","https://openalex.org/W2605788521","https://openalex.org/W2756239816","https://openalex.org/W2766516268","https://openalex.org/W2778392625","https://openalex.org/W2793422464","https://openalex.org/W2802851452","https://openalex.org/W2806119116","https://openalex.org/W2806603664","https://openalex.org/W2889878171","https://openalex.org/W2903002596","https://openalex.org/W2910611824","https://openalex.org/W2943769454","https://openalex.org/W2969527505","https://openalex.org/W2969852609","https://openalex.org/W2983011969","https://openalex.org/W2994704054","https://openalex.org/W3030176943","https://openalex.org/W3037598451","https://openalex.org/W3046227077","https://openalex.org/W3098224262","https://openalex.org/W3106855049","https://openalex.org/W3111375149","https://openalex.org/W3153519718","https://openalex.org/W3153574682","https://openalex.org/W3162136784","https://openalex.org/W3165947833","https://openalex.org/W3204794421","https://openalex.org/W3212692929"],"related_works":["https://openalex.org/W385273440","https://openalex.org/W346861917","https://openalex.org/W3205213561","https://openalex.org/W3027745756","https://openalex.org/W3024018414","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W1975632186","https://openalex.org/W1542592062"],"abstract_inverted_index":{"Personalised":[0],"computer":[1],"models":[2,14,220,391],"are":[3,19,39],"increasingly":[4],"used":[5],"to":[6,49,131,162,328,345,351,368,378,393,406,424],"diagnose":[7],"cardiac":[8,101],"arrhythmias":[9,342,365],"and":[10,27,70,96,194,207,228,252,257,263,332,370],"tailor":[11],"treatment.":[12],"Patient-specific":[13],"of":[15,25,92,147,153,221,311,319,322,340,363,374,402,411,458,466],"the":[16,54,82,93,128,134,143,148,151,160,202,226,233,237,255,274,282,288,293,299,305,312,317,326,329,338,348,352,361,372,403,408,412,416,433,445,456,464],"left":[17,55,83],"atrium":[18,56,84,172],"often":[20],"derived":[21],"from":[22,47,98,133,232,277,292,343,366,376],"pre-procedural":[23],"imaging":[24],"anatomy":[26,57,85,161,327,427],"fibrosis.":[28,165],"These":[29],"images":[30,48,69],"contain":[31],"noise":[32],"that":[33,63,298,432,452],"can":[34,173],"affect":[35],"simulation":[36,179],"predictions.":[37,51],"There":[38],"few":[40],"computationally":[41],"tractable":[42],"methods":[43],"for":[44,116,180,254,260,385],"propagating":[45,386],"uncertainties":[46],"clinical":[50,77,100,283],"We":[52,120,126,183,215,224,248,296,380,414,429],"describe":[53],"using":[58,86,150],"our":[59],"Bayesian":[60],"shape":[61,94,109,136,359,387,453],"model":[62,279,439],"captures":[64],"anatomical":[65],"uncertainty":[66,323,334,357,388,394,454,462],"in":[67,309,335,358,389,395],"medical":[68],"has":[71],"been":[72],"validated":[73,415],"on":[74,281],"63":[75],"independent":[76],"images.":[78,105],"This":[79],"algorithm":[80,399],"describes":[81],"Nmodes=15":[87],"principal":[88],"components,":[89],"capturing":[90],"95%":[91],"variance":[95],"calculated":[97],"70":[99],"magnetic":[102],"resonance":[103],"(CMR)":[104],"Latent":[106],"variables":[107],"encode":[108],"uncertainty:":[110],"we":[111,141,175,200,271,315,450],"evaluate":[112],"their":[113],"posterior":[114,135,330],"distribution":[115,290,410],"each":[117,139,181,198,268,320],"new":[118],"anatomy.":[119],"assume":[121],"a":[122,212,278,382,420,437],"normally":[123],"distributed":[124],"prior.":[125],"use":[127],"unscented":[129,234,404,417],"transform":[130,235,405,418],"sample":[132,353],"distribution.":[137],"For":[138,197,267],"sample,":[140,199],"assign":[142],"local":[144,164],"material":[145],"properties":[146],"tissue":[149],"projection":[152],"late":[154],"gadolinium":[155],"enhancement":[156],"CMR":[157],"(LGE-CMR)":[158],"onto":[159],"estimate":[163,316],"To":[166],"test":[167],"which":[168],"activation":[169,209,264],"patterns":[170,210],"an":[171,177],"sustain,":[174],"perform":[176],"arrhythmia":[178],"sample.":[182],"consider":[184],"34":[185],"possible":[186],"outcomes":[187],"(31":[188],"macro-re-entries,":[189,459],"functional":[190,467],"re-entry,":[191],"atrial":[192,218,390],"fibrillation,":[193],"non-sustained":[195],"arrhythmia).":[196],"determine":[201],"outcome":[203,276,308],"by":[204],"comparing":[205],"pre-":[206],"post-ablation":[208],"following":[211],"cross-field":[213],"stimulus.":[214],"create":[216],"patient-specific":[217],"electrophysiology":[219],"ten":[222],"patients.":[223],"validate":[225],"mean":[227,256,331,354],"standard":[229,258],"deviation":[230,259],"maps":[231],"with":[236,241,287,426,436,444],"same":[238],"statistics":[239],"obtained":[240,291],"12,000":[242],"Monte":[243],"Carlo":[244],"(ground":[245],"truth)":[246],"samples.":[247,295],"found":[249,297,451],"discrepancies":[250],"<3%":[251],"<2%":[253],"fibrosis":[261,336,349,461],"burden":[262],"time,":[265],"respectively.":[266],"patient":[269],"case,":[270],"then":[272,430],"compare":[273],"predicted":[275],"built":[280],"data":[284],"(deterministic":[285],"approach)":[286],"probability":[289],"simulated":[294],"deterministic":[300,438],"approach":[301],"did":[302],"not":[303,441],"predict":[304],"most":[306,446],"likely":[307,447],"80%":[310],"cases.":[313],"Finally,":[314,449],"influence":[318],"source":[321],"independently.":[324],"Fixing":[325],"maintaining":[333],"reduced":[337],"prediction":[339,362,373,434],"self-terminating":[341],"\u224314%":[344],"\u22437%.":[346],"Keeping":[347],"fixed":[350],"while":[355,460],"retaining":[356],"decreased":[360],"substrate-driven":[364],"\u224333%":[367],"\u224318%":[369],"increased":[371],"macro-re-entries":[375],"\u224354%":[377],"\u224368%.":[379],"presented":[381],"novel":[383],"method":[384],"through":[392],"numerical":[396],"simulations.":[397],"The":[398],"takes":[400],"advantage":[401],"compute":[407],"output":[409],"outcomes.":[413],"as":[419],"viable":[421],"sampling":[422],"strategy":[423],"deal":[425],"uncertainty.":[428],"showed":[431],"computed":[435],"does":[440],"always":[442],"coincide":[443],"outcome.":[448],"affects":[455,463],"predictions":[457,465],"re-entries.":[468]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4313531666","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2024-12-30T22:17:32.072708","created_date":"2023-01-06"}