{"id":"https://openalex.org/W2989452537","doi":"https://doi.org/10.1186/s42492-019-0027-4","title":"Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms","display_name":"Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms","publication_year":2019,"publication_date":"2019-11-15","ids":{"openalex":"https://openalex.org/W2989452537","doi":"https://doi.org/10.1186/s42492-019-0027-4","mag":"2989452537","pmid":"https://pubmed.ncbi.nlm.nih.gov/32190406"},"language":"en","primary_location":{"id":"doi:10.1186/s42492-019-0027-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0027-4","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0027-4","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0027-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076268379","display_name":"Gengsheng L. Zeng","orcid":"https://orcid.org/0000-0003-0790-6043"},"institutions":[{"id":"https://openalex.org/I197572798","display_name":"Utah Valley University","ror":"https://ror.org/02rxpxc98","country_code":"US","type":"education","lineage":["https://openalex.org/I197572798"]},{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gengsheng L. Zeng","raw_affiliation_strings":["1Department of Engineering, Utah Valley University, 800 W University Parkway, Orem, UT 84058 USA","2Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108 USA","Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA","Department of Engineering, Utah Valley University, 800 W University Parkway, Orem, UT, 84058, USA"],"affiliations":[{"raw_affiliation_string":"1Department of Engineering, Utah Valley University, 800 W University Parkway, Orem, UT 84058 USA","institution_ids":["https://openalex.org/I197572798"]},{"raw_affiliation_string":"2Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT 84108 USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Engineering, Utah Valley University, 800 W University Parkway, Orem, UT, 84058, USA","institution_ids":["https://openalex.org/I197572798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343657","display_name":"Ya Li","orcid":"https://orcid.org/0000-0002-3351-7909"},"institutions":[{"id":"https://openalex.org/I197572798","display_name":"Utah Valley University","ror":"https://ror.org/02rxpxc98","country_code":"US","type":"education","lineage":["https://openalex.org/I197572798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ya Li","raw_affiliation_strings":["3Department of Mathematics, Utah Valley University, 800 W University Parkway, Orem, UT 84058 USA","Department of Mathematics, Utah Valley University, 800 W University Parkway, Orem, UT, 84058, USA"],"affiliations":[{"raw_affiliation_string":"3Department of Mathematics, Utah Valley University, 800 W University Parkway, Orem, UT 84058 USA","institution_ids":["https://openalex.org/I197572798"]},{"raw_affiliation_string":"Department of Mathematics, Utah Valley University, 800 W University Parkway, Orem, UT, 84058, USA","institution_ids":["https://openalex.org/I197572798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076268379"],"corresponding_institution_ids":["https://openalex.org/I197572798","https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":0.3427,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65161985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"1","first_page":"14","last_page":"14"},"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/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.8480098247528076},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6806018948554993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6146777272224426},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5465871095657349},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.47118571400642395},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4151475131511688},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2798463702201843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2695140838623047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22774362564086914},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08760485053062439}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.8480098247528076},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6806018948554993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6146777272224426},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5465871095657349},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.47118571400642395},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4151475131511688},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2798463702201843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2695140838623047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22774362564086914},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08760485053062439},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s42492-019-0027-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0027-4","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0027-4","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},{"id":"pmid:32190406","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32190406","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":"Visual computing for industry, biomedicine, and art","raw_type":null},{"id":"pmh:oai:doaj.org/article:66891ba7a1f74028986132e3790c9ea2","is_oa":true,"landing_page_url":"https://doaj.org/article/66891ba7a1f74028986132e3790c9ea2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art, Vol 2, Iss 1, Pp 1-10 (2019)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7055571","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7055571","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vis Comput Ind Biomed Art","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s42492-019-0027-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0027-4","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0027-4","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1407444811","display_name":null,"funder_award_id":"R15EB024283","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3726272450","display_name":null,"funder_award_id":"NIH grant R15EB024283","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989452537.pdf","grobid_xml":"https://content.openalex.org/works/W2989452537.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W152112813","https://openalex.org/W1575258345","https://openalex.org/W1958270932","https://openalex.org/W1972150100","https://openalex.org/W2005678300","https://openalex.org/W2032237670","https://openalex.org/W2040564415","https://openalex.org/W2093903520","https://openalex.org/W2154679219","https://openalex.org/W2156612134","https://openalex.org/W2165399609","https://openalex.org/W2166453478","https://openalex.org/W2168530812","https://openalex.org/W2478571083","https://openalex.org/W2752731244","https://openalex.org/W2765737629","https://openalex.org/W2810796493","https://openalex.org/W2901836834"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2073681303","https://openalex.org/W2369178846","https://openalex.org/W2370289839","https://openalex.org/W2082716031","https://openalex.org/W2933494595","https://openalex.org/W4313347705","https://openalex.org/W1568049691"],"abstract_inverted_index":{"We":[0],"recently":[1],"developed":[2,101],"a":[3,34,50,104,155],"family":[4,29],"of":[5,30,40,60,137],"image":[6,162],"reconstruction":[7],"algorithms":[8,24,32,42,45,63,102,121,140,171],"that":[9,169],"look":[10],"like":[11],"the":[12,56,61,82,92,96,160],"emission":[13,68],"maximum-likelihood":[14],"expectation-maximization":[15],"(ML-EM)":[16],"algorithm.":[17,146],"In":[18],"this":[19],"study,":[20],"we":[21],"extend":[22],"these":[23,41],"to":[25,43,67,72],"Bayesian":[26,44,57,93,109],"algorithms.":[27,85],"The":[28,38,86,99,119],"emission-EM-lookalike":[31],"utilizes":[33],"multiplicative":[35,126],"update":[36],"scheme.":[37],"extension":[39],"is":[46,89,165],"achieved":[47],"by":[48,143,159],"introducing":[49],"new":[51],"simple":[52,108],"factor,":[53],"which":[54,164],"contains":[55],"information.":[58],"One":[59],"extended":[62],"can":[64,111],"be":[65,112],"applied":[66],"tomography":[69],"and":[70,79,135],"another":[71],"transmission":[73],"tomography.":[74],"Computer":[75],"simulations":[76],"are":[77,141],"performed":[78],"compared":[80],"with":[81],"corresponding":[83],"un-extended":[84],"total-variation":[87],"norm":[88],"employed":[90],"as":[91,125],"constraint":[94],"in":[95,149],"computer":[97],"simulations.":[98],"newly":[100],"demonstrate":[103],"stable":[105],"performance.":[106],"A":[107],"algorithm":[110,153],"derived":[113],"for":[114,132],"any":[115],"noise":[116],"variance":[117],"function.":[118],"proposed":[120],"have":[122],"properties":[123],"such":[124],"updating,":[127],"non-negativity,":[128],"faster":[129],"convergence":[130],"rates":[131],"bright":[133],"objects,":[134],"ease":[136],"implementation.":[138],"Our":[139],"inspired":[142],"Green's":[144,152],"one-step-late":[145],"If":[147],"written":[148],"additive-update":[150],"form,":[151],"has":[154],"step":[156],"size":[157],"determined":[158],"future":[161],"value,":[163],"an":[166],"undesirable":[167],"feature":[168],"our":[170],"do":[172],"not":[173],"have.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}