{"id":"https://openalex.org/W1997719038","doi":"https://doi.org/10.1109/icip.2011.6115693","title":"A discrete-continuous Bayesian model for Emission Tomography","display_name":"A discrete-continuous Bayesian model for Emission Tomography","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W1997719038","doi":"https://doi.org/10.1109/icip.2011.6115693","mag":"1997719038"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6115693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"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/A5008926169","display_name":"Mame Diarra Fall","orcid":"https://orcid.org/0000-0003-2749-2589"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mame Diarra Fall","raw_affiliation_strings":["Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France","Laboratoire des Signaux et Syst\u00e8mes, UMR8506: CNRS-SUPELEC, University Paris Sud, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210125654","https://openalex.org/I4210128565","https://openalex.org/I2738703131"]},{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e8mes, UMR8506: CNRS-SUPELEC, University Paris Sud, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022637848","display_name":"\u00c9ric Barat","orcid":"https://orcid.org/0000-0003-1113-5245"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Barat","raw_affiliation_strings":["Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210125654","https://openalex.org/I4210128565","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035895321","display_name":"Claude Comtat","orcid":"https://orcid.org/0000-0003-4691-7001"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210090001","display_name":"Institut d'Imagerie Biom\u00e9dicale","ror":"https://ror.org/009ay5m23","country_code":"FR","type":"government","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210090001","https://openalex.org/I4210096427","https://openalex.org/I4210102665","https://openalex.org/I4210113668"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claude Comtat","raw_affiliation_strings":["Service Hospitalier Fr\u00e9d\u00e9ric Joliot, CEA/DSV/I2BM, Orsay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Service Hospitalier Fr\u00e9d\u00e9ric Joliot, CEA/DSV/I2BM, Orsay, France","institution_ids":["https://openalex.org/I4210090001","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076540524","display_name":"Thomas Dautremer","orcid":"https://orcid.org/0000-0002-5035-4523"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Dautremer","raw_affiliation_strings":["Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210125654","https://openalex.org/I4210128565","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042034684","display_name":"T. Montagu","orcid":"https://orcid.org/0000-0002-9729-8186"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210125654","display_name":"Maison de la Simulation","ror":"https://ror.org/03jv6w209","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I195731000","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210113668","https://openalex.org/I4210125654","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry Montagu","raw_affiliation_strings":["Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Mod\u00e9lisation, Simulation et Syst\u00e8mes (LM2S), CEA-Saclay, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210125654","https://openalex.org/I4210128565","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041990954","display_name":"Ali Mohammad\u2010Djafari","orcid":"https://orcid.org/0000-0003-0678-7759"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ali Mohammad-Djafari","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e8mes, UMR8506: CNRS-SUPELEC, University Paris Sud, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e8mes, UMR8506: CNRS-SUPELEC, University Paris Sud, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3425,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80370426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1373","last_page":"1376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6557186841964722},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6175448298454285},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5864148139953613},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5757666826248169},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.56806480884552},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.554084062576294},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.502507209777832},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4971025288105011},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48118382692337036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4699815809726715},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.4614497423171997},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44405028223991394},{"id":"https://openalex.org/keywords/continuous-modelling","display_name":"Continuous modelling","score":0.4360806941986084},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.4242899417877197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41299039125442505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23610714077949524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2293415069580078},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09915590286254883},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08491691946983337}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6557186841964722},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6175448298454285},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5864148139953613},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5757666826248169},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.56806480884552},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.554084062576294},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.502507209777832},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4971025288105011},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48118382692337036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4699815809726715},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.4614497423171997},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44405028223991394},{"id":"https://openalex.org/C10184394","wikidata":"https://www.wikidata.org/wiki/Q5165491","display_name":"Continuous modelling","level":2,"score":0.4360806941986084},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.4242899417877197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41299039125442505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23610714077949524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2293415069580078},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09915590286254883},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08491691946983337},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2011.6115693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00833276v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00833276","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"18th IEEE International Conference on Image Processing (ICIP), Sep 2011, Brussel,, Belgium. pp.1373--1376","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W43029633","https://openalex.org/W186085407","https://openalex.org/W748467075","https://openalex.org/W1647554959","https://openalex.org/W2058583833","https://openalex.org/W2063390378","https://openalex.org/W2069629287","https://openalex.org/W2127498532","https://openalex.org/W2168530812","https://openalex.org/W2538568844","https://openalex.org/W4299416517","https://openalex.org/W4308951891","https://openalex.org/W6607493213","https://openalex.org/W6636952455"],"related_works":["https://openalex.org/W1839961359","https://openalex.org/W2075146114","https://openalex.org/W2100805585","https://openalex.org/W2964314781","https://openalex.org/W4389708677","https://openalex.org/W3006565005","https://openalex.org/W4287868071","https://openalex.org/W2611832276","https://openalex.org/W2007093222","https://openalex.org/W69468016"],"abstract_inverted_index":{"In":[0],"this":[1],"contribution,":[2],"we":[3,130],"propose":[4,93],"a":[5,19,25,54,68,84,94,140,148],"discrete-continuous":[6],"reconstruction":[7,65],"method":[8,128],"for":[9,100],"Positron":[10],"Emission":[11],"Tomography":[12],"(PET).":[13],"The":[14],"goal":[15],"is":[16,80,145],"to":[17,104,134],"reconstruct":[18],"continuous":[20],"radiotracer":[21,89],"activity":[22,90,110],"distribution":[23,111],"from":[24,107],"finite":[26],"set":[27],"of":[28,34,52,75,125],"measurements":[29],"(namely,":[30],"the":[31,50,64,76,87,101,108,123,126,138],"discrete":[32],"projections":[33],"detected":[35],"random":[36],"emissions).":[37],"Our":[38],"approach":[39,133],"can":[40],"be":[41],"viewed":[42],"as":[43],"an":[44],"indirect":[45,60],"density":[46,56],"estimation":[47,71,142],"problem,":[48],"i.e,":[49],"problem":[51,66,79,151],"recovering":[53],"probability":[55],"function":[57],"based":[58,146],"on":[59,86,147],"observations.":[61],"We":[62,92],"cast":[63],"in":[67],"Bayesian":[69,136],"nonparametric":[70],"framework":[72],"where":[73],"regularization":[74],"ill-posed":[77],"inverse":[78],"achieved":[81],"by":[82],"putting":[83],"prior":[85],"investigated":[88],"distribution.":[91],"hierarchical":[95],"model":[96],"and":[97,112,129],"use":[98],"it":[99],"MCMC":[102],"schemes":[103],"generate":[105],"samples":[106],"posterior":[109],"compute":[113],"its":[114],"functionals":[115],"(mean,":[116],"standard":[117],"deviation":[118],"etc.).":[119],"Results":[120],"will":[121],"illustrate":[122],"performances":[124],"proposed":[127],"compare":[131],"our":[132],"another":[135],"method,":[137],"maximum":[139],"posteriori":[141],"(MAP),":[143],"which":[144],"fully":[149],"discrete-discrete":[150],"formulation.":[152]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}