{"id":"https://openalex.org/W2281396240","doi":"https://doi.org/10.2298/csis141201051t","title":"Estimation of input function from dynamic PET brain data using Bayesian blind source separation","display_name":"Estimation of input function from dynamic PET brain data using Bayesian blind source separation","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2281396240","doi":"https://doi.org/10.2298/csis141201051t","mag":"2281396240"},"language":"en","primary_location":{"id":"doi:10.2298/csis141201051t","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis141201051t","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141500051T","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141500051T","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057699271","display_name":"Ond\u0159ej Tich\u00fd","orcid":"https://orcid.org/0000-0003-3625-3926"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Ond\u0159ej Tich\u00fd","raw_affiliation_strings":["Institute of Information Theory and Automation, Prague, Czech republic"],"affiliations":[{"raw_affiliation_string":"Institute of Information Theory and Automation, Prague, Czech republic","institution_ids":["https://openalex.org/I4210119419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037930366","display_name":"V\u00e1clav \u0160m\u00eddl","orcid":"https://orcid.org/0000-0003-3027-6174"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"V\u00e1clav Sm\u00eddl","raw_affiliation_strings":["Institute of Information Theory and Automation, Prague, Czech republic"],"affiliations":[{"raw_affiliation_string":"Institute of Information Theory and Automation, Prague, Czech republic","institution_ids":["https://openalex.org/I4210119419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057699271"],"corresponding_institution_ids":["https://openalex.org/I4210119419"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15210299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"4","first_page":"1273","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9491999745368958,"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/computer-science","display_name":"Computer science","score":0.8341748714447021},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6765973567962646},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5485244989395142},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5217579007148743},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5184097290039062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011618137359619},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46114474534988403},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.45154353976249695},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43710044026374817},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42905110120773315},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41787755489349365},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.4147361218929291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36713534593582153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341748714447021},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6765973567962646},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5485244989395142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5217579007148743},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5184097290039062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011618137359619},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46114474534988403},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.45154353976249695},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43710044026374817},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42905110120773315},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41787755489349365},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.4147361218929291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36713534593582153},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2298/csis141201051t","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis141201051t","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141500051T","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0450509","is_oa":false,"landing_page_url":"http://hdl.handle.net/11104/0252672","pdf_url":null,"source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doiserbia:1820-02141500051T","is_oa":false,"landing_page_url":"http://doi.org/10.2298/CSIS141201051T","pdf_url":null,"source":{"id":"https://openalex.org/S4306400515","display_name":"Digital Object Identifier (DOI) Repository Serbia (National Library of Serbia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210142455","host_organization_name":"National Library of Serbia","host_organization_lineage":["https://openalex.org/I4210142455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":". 12(4) 1273-1287"}],"best_oa_location":{"id":"doi:10.2298/csis141201051t","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis141201051t","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141500051T","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2281396240.pdf","grobid_xml":"https://content.openalex.org/works/W2281396240.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W575122527","https://openalex.org/W1560819782","https://openalex.org/W1967341681","https://openalex.org/W1973502113","https://openalex.org/W1999097591","https://openalex.org/W2003865728","https://openalex.org/W2018529848","https://openalex.org/W2025118363","https://openalex.org/W2033642329","https://openalex.org/W2035569183","https://openalex.org/W2041140748","https://openalex.org/W2076560915","https://openalex.org/W2091826714","https://openalex.org/W2092078486","https://openalex.org/W2106582496","https://openalex.org/W2107710506","https://openalex.org/W2118718620","https://openalex.org/W2125392257","https://openalex.org/W2125860481","https://openalex.org/W2127852024","https://openalex.org/W2129318972","https://openalex.org/W2135029798","https://openalex.org/W2144811143","https://openalex.org/W2146803308","https://openalex.org/W2148325823","https://openalex.org/W2152910484","https://openalex.org/W2165685007","https://openalex.org/W2167026993","https://openalex.org/W2188206772","https://openalex.org/W2196749904","https://openalex.org/W2265897154","https://openalex.org/W2403428001","https://openalex.org/W3143596294","https://openalex.org/W4234217891"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2029084792","https://openalex.org/W2589098082"],"abstract_inverted_index":{"Selection":[0],"of":[1,3,16,91,107,144,149],"regions":[2],"interest":[4],"in":[5,19],"an":[6],"image":[7],"sequence":[8],"is":[9,27,43,69,157],"a":[10,31,62],"typical":[11],"prerequisite":[12],"step":[13],"for":[14,61,105,160],"estimation":[15],"time-activity":[17],"curves":[18],"dynamic":[20,111,136],"positron":[21],"emission":[22],"tomography":[23],"(PET).":[24],"This":[25],"procedure":[26],"done":[28],"manually":[29],"by":[30],"human":[32],"operator":[33],"and":[34,75,101,118,130,140,142],"therefore":[35],"suffers":[36],"from":[37,53,110],"subjective":[38],"errors.":[39],"Another":[40],"such":[41],"problem":[42],"to":[44,71],"estimate":[45],"the":[46,66,133],"input":[47],"function.":[48],"It":[49],"can":[50,58],"be":[51,59,72],"measured":[52],"arterial":[54],"blood":[55],"or":[56],"it":[57],"searched":[60],"vascular":[63],"structure":[64],"on":[65,83,115,135],"images":[67],"which":[68],"hard":[70],"done,":[73],"unreliable,":[74],"often":[76],"impossible.":[77],"In":[78,123],"this":[79,124,128],"study,":[80],"we":[81,95,126,131],"focus":[82],"blind":[84,98],"source":[85,99],"separation":[86,100,106],"methods":[87,134],"with":[88,147],"no":[89],"needs":[90],"manual":[92],"interaction.":[93],"Recently,":[94],"developed":[96],"sparse":[97],"deconvolution":[102],"(S-BSS-vecDC)":[103],"method":[104,129],"original":[108],"sources":[109],"medical":[112],"data":[113,139],"based":[114],"probability":[116],"modeling":[117],"Variational":[119],"Bayes":[120],"approximation":[121],"methodology.":[122],"paper,":[125],"extend":[127],"apply":[132],"brain":[137],"PET":[138],"application":[141],"comparison":[143],"derived":[145],"algorithms":[146],"those":[148],"similar":[150],"assumptions":[151],"are":[152],"given.":[153],"The":[154],"S-BSS-vecDC":[155],"algorithm":[156],"publicly":[158],"available":[159],"download.":[161]},"counts_by_year":[],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}