{"id":"https://openalex.org/W2564074918","doi":"https://doi.org/10.1109/tmi.2016.2643684","title":"Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal","display_name":"Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal","publication_year":2016,"publication_date":"2016-12-23","ids":{"openalex":"https://openalex.org/W2564074918","doi":"https://doi.org/10.1109/tmi.2016.2643684","mag":"2564074918","pmid":"https://pubmed.ncbi.nlm.nih.gov/28026757"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2016.2643684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2643684","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/5496770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100353939","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-7414-5734"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081456414","display_name":"Abhinav K. Jha","orcid":"https://orcid.org/0000-0002-4795-4878"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhinav K. Jha","raw_affiliation_strings":["Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102714166","display_name":"Michael Ghaly","orcid":"https://orcid.org/0000-0002-3043-8105"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Ghaly","raw_affiliation_strings":["Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082944810","display_name":"Fatma E. A. Elshahaby","orcid":"https://orcid.org/0000-0001-7084-8988"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatma E. A. Elshahaby","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034964046","display_name":"Jonathan M. Links","orcid":"https://orcid.org/0000-0001-7964-3508"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan M. Links","raw_affiliation_strings":["Department of Environmental Health Sciences, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Health Sciences, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075316302","display_name":"Eric C. Frey","orcid":"https://orcid.org/0000-0002-9596-3955"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric C. Frey","raw_affiliation_strings":["Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100353939"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.8494,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.77249103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"917","last_page":"929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/homoscedasticity","display_name":"Homoscedasticity","score":0.5936983227729797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.574920654296875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565316081047058},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5325160622596741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.521217942237854},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4709000885486603},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4508315622806549},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4297754764556885},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4244481027126312},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38037049770355225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36379367113113403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3352048397064209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22168833017349243}],"concepts":[{"id":"https://openalex.org/C104409967","wikidata":"https://www.wikidata.org/wiki/Q1054836","display_name":"Homoscedasticity","level":3,"score":0.5936983227729797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574920654296875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565316081047058},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5325160622596741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.521217942237854},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4709000885486603},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4508315622806549},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4297754764556885},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4244481027126312},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38037049770355225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36379367113113403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3352048397064209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22168833017349243},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013647","descriptor_name":"Task Performance and Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2016.2643684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2643684","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:28026757","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28026757","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:5496770","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5496770","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:5496770","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5496770","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":[{"id":"https://metadata.un.org/sdg/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3685233879","display_name":null,"funder_award_id":"R01-EB013558","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G3725109489","display_name":null,"funder_award_id":"R01-EB00288","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G3827165865","display_name":null,"funder_award_id":"R01-EB016231","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W657129232","https://openalex.org/W1270315230","https://openalex.org/W1487488045","https://openalex.org/W1500551892","https://openalex.org/W1536719366","https://openalex.org/W1561530404","https://openalex.org/W1756516444","https://openalex.org/W1967817180","https://openalex.org/W1986042618","https://openalex.org/W1994755173","https://openalex.org/W1996769849","https://openalex.org/W2001619934","https://openalex.org/W2003837963","https://openalex.org/W2014024561","https://openalex.org/W2020215885","https://openalex.org/W2023299443","https://openalex.org/W2030120896","https://openalex.org/W2030151919","https://openalex.org/W2035141480","https://openalex.org/W2040934797","https://openalex.org/W2046701563","https://openalex.org/W2067829201","https://openalex.org/W2068668125","https://openalex.org/W2069401973","https://openalex.org/W2079388155","https://openalex.org/W2081870514","https://openalex.org/W2095554436","https://openalex.org/W2095683621","https://openalex.org/W2102289986","https://openalex.org/W2110140109","https://openalex.org/W2111732446","https://openalex.org/W2113808127","https://openalex.org/W2116040708","https://openalex.org/W2121750673","https://openalex.org/W2121852483","https://openalex.org/W2123271629","https://openalex.org/W2128617271","https://openalex.org/W2128894867","https://openalex.org/W2129940523","https://openalex.org/W2135346934","https://openalex.org/W2136573752","https://openalex.org/W2154744699","https://openalex.org/W2156885379","https://openalex.org/W2161366386","https://openalex.org/W2170046594","https://openalex.org/W2171592126","https://openalex.org/W2291243499","https://openalex.org/W2491092337","https://openalex.org/W4249772036","https://openalex.org/W4301807748","https://openalex.org/W6645607943","https://openalex.org/W6657880502","https://openalex.org/W6677164962","https://openalex.org/W6677973210"],"related_works":["https://openalex.org/W2262753808","https://openalex.org/W2388528498","https://openalex.org/W956967588","https://openalex.org/W2119309329","https://openalex.org/W3094460295","https://openalex.org/W2894129938","https://openalex.org/W2380616114","https://openalex.org/W3202682398","https://openalex.org/W2322382546","https://openalex.org/W2109239032"],"abstract_inverted_index":{"The":[0,73,108,223],"Hotelling":[1],"Observer":[2],"(HO)":[3],"is":[4,25,47,65,156],"widely":[5],"used":[6],"to":[7,17,38,70,84,116,162,178],"evaluate":[8],"image":[9],"quality":[10],"in":[11],"medical":[12],"imaging.":[13],"However,":[14],"applying":[15,176],"it":[16],"data":[18,45,173,181],"that":[19,51,140],"are":[20,52],"not":[21,26],"multivariate-normally":[22],"(MVN)":[23],"distributed":[24],"optimal.":[27],"In":[28],"this":[29,141],"paper,":[30],"we":[31],"apply":[32],"two":[33,230],"multi-template":[34,75,209,231],"linear":[35,62],"observer":[36,63],"strategies":[37,161,206,232],"handle":[39],"such":[40],"data.":[41],"First,":[42],"the":[43,82,88,91,102,106,112,130,136,145,152,163,171,179,197,201,205,208,213,229,243],"entire":[44,172],"ensemble":[46,174],"divided":[48],"into":[49],"sub-ensembles":[50],"exactly":[53],"or":[54],"approximately":[55],"MVN":[56],"and":[57,68,100,123,235],"homoscedastic.":[58],"Next,":[59],"a":[60,125,166,187],"different":[61],"template":[64,169],"estimated":[66],"for":[67,97,120,170,216,239],"applied":[69],"each":[71,85,98,121,240],"sub-ensemble.":[72],"first":[74],"strategy,":[76],"adapted":[77],"from":[78,104,134,183],"previous":[79],"work,":[80],"applies":[81,111],"HO":[83,153,168,245],"sub-ensemble,":[86,99],"calculates":[87,124],"area":[89],"under":[90],"receiver":[92],"operating":[93],"characteristics":[94],"curve":[95],"(AUC)":[96],"averages":[101],"AUCs":[103,238],"all":[105,135],"sub-ensembles.":[107,137],"second":[109,142],"strategy":[110,143,211],"Linear":[113],"Discriminant":[114],"(LD)":[115],"estimate":[117],"test":[118,132,154],"statistics":[119,133,155],"sub-ensemble":[122,241],"single":[126,167],"global":[127],"AUC":[128,147,215],"using":[129],"pooled":[131],"We":[138,158],"show":[139],"produces":[144],"maximum":[146],"when":[148],"only":[149],"shifting":[150],"of":[151,165,186,191,199,220],"allowed.":[157],"compared":[159],"these":[160],"use":[164],"by":[175,228],"them":[177],"non-MVN":[180],"obtained":[182,227],"reconstructed":[184],"images":[185],"realistic":[188],"simulated":[189],"population":[190],"myocardial":[192],"perfusion":[193],"SPECT":[194],"studies":[195],"with":[196],"goal":[198],"optimizing":[200],"reconstruction":[202,221,225],"parameters.":[203,222],"Of":[204],"investigated,":[207],"LD":[210],"yielded":[212],"highest":[214],"any":[217],"given":[218],"set":[219],"optimal":[224],"parameters":[226],"were":[233],"comparable":[234],"produced":[236],"higher":[237],"than":[242],"single-template":[244],"strategy.":[246]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
