{"id":"https://openalex.org/W2923392385","doi":"https://doi.org/10.1109/tmi.2019.2906600","title":"Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error","display_name":"Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error","publication_year":2019,"publication_date":"2019-03-20","ids":{"openalex":"https://openalex.org/W2923392385","doi":"https://doi.org/10.1109/tmi.2019.2906600","mag":"2923392385","pmid":"https://pubmed.ncbi.nlm.nih.gov/30908200"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2019.2906600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2906600","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6913037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049509565","display_name":"Sandesh Ghimire","orcid":"https://orcid.org/0000-0002-5936-9393"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sandesh Ghimire","raw_affiliation_strings":["B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077573193","display_name":"John L. Sapp","orcid":"https://orcid.org/0000-0002-9602-2751"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]},{"id":"https://openalex.org/I2800264117","display_name":"Queen Elizabeth II Health Sciences Centre","ror":"https://ror.org/025qrzc85","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2800264117","https://openalex.org/I2802394193"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John L. Sapp","raw_affiliation_strings":["Department of Medicine, Dalhousie University, Halifax, Canada","QEII Health Sciences Centre, Dalhousie University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"QEII Health Sciences Centre, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I2800264117","https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010690465","display_name":"B. Milan Hor\u00e1\u010dek","orcid":"https://orcid.org/0000-0001-6902-7787"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"B. Milan Horacek","raw_affiliation_strings":["School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101710700","display_name":"Linwei Wang","orcid":"https://orcid.org/0000-0002-5678-2369"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linwei Wang","raw_affiliation_strings":["B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049509565"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.8013,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7427547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"38","issue":"11","first_page":"2582","last_page":"2595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9991000294685364,"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":0.9991000294685364,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9934999942779541,"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/inverse-problem","display_name":"Inverse problem","score":0.7397822141647339},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5896307229995728},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5857494473457336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5325061082839966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5242213010787964},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4795134365558624},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45995935797691345},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.42023080587387085},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4178675711154938},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4139522910118103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34250324964523315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32877710461616516},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.105628103017807}],"concepts":[{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.7397822141647339},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5896307229995728},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5857494473457336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5325061082839966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5242213010787964},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4795134365558624},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45995935797691345},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.42023080587387085},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4178675711154938},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4139522910118103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34250324964523315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32877710461616516},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.105628103017807},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008564","descriptor_name":"Membrane Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008564","descriptor_name":"Membrane Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008564","descriptor_name":"Membrane Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","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},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009203","descriptor_name":"Myocardial Infarction","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2019.2906600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2906600","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:30908200","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30908200","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:pubmedcentral.nih.gov:6913037","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6913037","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6913037","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6913037","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5162784776","display_name":null,"funder_award_id":"ACI-1350374","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8194986717","display_name":null,"funder_award_id":"R01HL145590","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1176359114","https://openalex.org/W2007339919","https://openalex.org/W2012155513","https://openalex.org/W2015531934","https://openalex.org/W2021611778","https://openalex.org/W2028349884","https://openalex.org/W2045887127","https://openalex.org/W2058346127","https://openalex.org/W2061929769","https://openalex.org/W2068389598","https://openalex.org/W2071470777","https://openalex.org/W2091807822","https://openalex.org/W2096118053","https://openalex.org/W2097631275","https://openalex.org/W2109782778","https://openalex.org/W2110440965","https://openalex.org/W2119883478","https://openalex.org/W2127870457","https://openalex.org/W2132401137","https://openalex.org/W2143828148","https://openalex.org/W2157172687","https://openalex.org/W2168745297","https://openalex.org/W2199284227","https://openalex.org/W2313318849","https://openalex.org/W2396707042","https://openalex.org/W2753687341","https://openalex.org/W2890475733","https://openalex.org/W2911546748","https://openalex.org/W3099172070","https://openalex.org/W3099994083","https://openalex.org/W4285719527","https://openalex.org/W6712612948"],"related_works":["https://openalex.org/W2010680921","https://openalex.org/W4226332603","https://openalex.org/W2570305117","https://openalex.org/W2908119924","https://openalex.org/W2034488210","https://openalex.org/W2338832026","https://openalex.org/W2884791473","https://openalex.org/W4289743190","https://openalex.org/W3167132886","https://openalex.org/W1967968436"],"abstract_inverted_index":{"To":[0],"reconstruct":[1],"electrical":[2,35],"activity":[3],"in":[4,22,37,86,90,119,140],"the":[5,34,38,60,84,87,91,104,115,136,141,145],"heart":[6,39],"from":[7,47],"body-surface":[8],"electrocardiograms":[9],"(ECGs)":[10],"is":[11],"an":[12],"ill-posed":[13],"inverse":[14,25],"problem.":[15],"Electrophysiological":[16],"models":[17,45],"have":[18],"been":[19],"found":[20],"effective":[21],"regularizing":[23],"these":[24,44],"problems":[26],"by":[27,123],"incorporating":[28],"a":[29,67,94],"priori":[30],"knowledge":[31],"about":[32],"how":[33],"potential":[36,74],"propagates":[40],"over":[41],"time.":[42],"However,":[43],"suffer":[46],"model":[48,79,125,149],"errors":[49],"arising":[50],"from,":[51],"for":[52,135],"example,":[53],"parameters":[54],"associated":[55],"with":[56],"tissue":[57],"properties":[58],"and":[59,77,110,132],"earliest":[61],"sites":[62],"of":[63,83,93,103,117,138,147],"excitation.":[64],"We":[65,128],"present":[66],"Bayesian":[68],"approach":[69],"to":[70],"simultaneously":[71],"estimate":[72],"transmembrane":[73],"(TMP)":[75],"signals":[76],"prior":[78,97],"errors,":[80],"exploiting":[81],"sparsity":[82],"error":[85,126],"gradient":[88],"domain":[89],"form":[92],"novel":[95],"sparse":[96],"based":[98],"on":[99],"variational":[100],"lower":[101],"bound":[102],"generalized":[105],"Gaussian":[106],"distribution.":[107],"In":[108],"synthetic":[109],"real-data":[111],"experiments,":[112],"we":[113],"demonstrate":[114],"improvement":[116],"accuracy":[118],"TMP":[120],"reconstruction":[121],"brought":[122],"simultaneous":[124],"estimation.":[127],"further":[129],"provide":[130],"theoretical":[131],"empirical":[133],"justifications":[134],"change":[137],"performances":[139],"presented":[142],"method":[143],"at":[144],"presence":[146],"different":[148],"errors.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}