{"id":"https://openalex.org/W4200189011","doi":"https://doi.org/10.1109/embc46164.2021.9629653","title":"Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study","display_name":"Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200189011","doi":"https://doi.org/10.1109/embc46164.2021.9629653","pmid":"https://pubmed.ncbi.nlm.nih.gov/34891607"},"language":"en","primary_location":{"id":"doi:10.1109/embc46164.2021.9629653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629653","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Vasileios C. Pezoulas","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vasileios C. Pezoulas","raw_affiliation_strings":["Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Grigorios I. Grigoriadis","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Grigorios I. Grigoriadis","raw_affiliation_strings":["Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nikolaos S. Tachos","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos S. Tachos","raw_affiliation_strings":["Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fausto Barlocco","orcid":null},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]},{"id":"https://openalex.org/I4210115393","display_name":"Azienda Ospedaliero-Universitaria Careggi","ror":"https://ror.org/02crev113","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210115393"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fausto Barlocco","raw_affiliation_strings":["Department of Experimental and Clinical Medicine, Azienda Ospedaliera Careggi, University of Florence and Cardiomyopathies Unit, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Experimental and Clinical Medicine, Azienda Ospedaliera Careggi, University of Florence and Cardiomyopathies Unit, Florence, Italy","institution_ids":["https://openalex.org/I4210115393","https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Iacopo Olivotto","orcid":null},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]},{"id":"https://openalex.org/I4210115393","display_name":"Azienda Ospedaliero-Universitaria Careggi","ror":"https://ror.org/02crev113","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210115393"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Iacopo Olivotto","raw_affiliation_strings":["Department of Experimental and Clinical Medicine, Azienda Ospedaliera Careggi, University of Florence and Cardiomyopathies Unit, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Experimental and Clinical Medicine, Azienda Ospedaliera Careggi, University of Florence and Cardiomyopathies Unit, Florence, Italy","institution_ids":["https://openalex.org/I4210115393","https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dimitrios I. Fotiadis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105723","display_name":"FORTH Institute of Molecular Biology and Biotechnology","ror":"https://ror.org/01gzszr18","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210105723","https://openalex.org/I8901234"]},{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios I. Fotiadis","raw_affiliation_strings":["Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, FORTH, Ioannina, Greece","Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, FORTH, Ioannina, Greece","institution_ids":["https://openalex.org/I4210105723"]},{"raw_affiliation_string":"Dept. of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":0.381,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60517321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1674","last_page":"1677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.36739999055862427,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.36739999055862427,"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"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.07569999992847443,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.044199999421834946,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6998999714851379},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.6937000155448914},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6657000184059143},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5062000155448914},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5059999823570251},{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.4781000018119812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.451200008392334},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4323999881744385}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6998999714851379},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.6937000155448914},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6657000184059143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5182999968528748},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5062000155448914},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5059999823570251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4961000084877014},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.4781000018119812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4323999881744385},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42890000343322754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4226999878883362},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4088999927043915},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3912999927997589},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.3467000126838684},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26269999146461487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.25130000710487366}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D002312","descriptor_name":"Cardiomyopathy, Hypertrophic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002312","descriptor_name":"Cardiomyopathy, Hypertrophic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002312","descriptor_name":"Cardiomyopathy, Hypertrophic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc46164.2021.9629653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629653","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:34891607","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34891607","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2899818458","https://openalex.org/W2921039670","https://openalex.org/W2947197489","https://openalex.org/W2953377360","https://openalex.org/W2974097300","https://openalex.org/W2979289087","https://openalex.org/W2999047493","https://openalex.org/W3038944518","https://openalex.org/W3044696131","https://openalex.org/W3103102495","https://openalex.org/W3109863995","https://openalex.org/W3124456076","https://openalex.org/W3125916211","https://openalex.org/W4256489451","https://openalex.org/W6780803890","https://openalex.org/W6967075814"],"related_works":[],"abstract_inverted_index":{"Nowadays,":[0],"there":[1],"is":[2],"a":[3],"growing":[4],"need":[5],"for":[6,15,42],"the":[7,25,43,57,74,77,82,88,94,108,134],"development":[8],"of":[9,38,45,56,59,96],"computationally":[10],"efficient":[11],"virtual":[12,46,69,98,113],"population":[13],"generators":[14],"large-scale":[16],"in-silico":[17],"clinical":[18],"trials.":[19],"In":[20],"this":[21],"work,":[22],"we":[23],"utilize":[24],"Gaussian":[26,60],"Mixture":[27],"Models":[28],"(GMM)":[29],"with":[30,100,115],"variational":[31],"Bayesian":[32,75],"inference":[33],"(BGMM)":[34],"using":[35],"robust":[36],"estimations":[37,49],"Dirichlet":[39],"concentration":[40],"priors":[41],"generation":[44,95],"populations.":[47],"The":[48,62],"were":[50],"based":[51],"on":[52],"an":[53],"exponential":[54],"transformation":[55],"number":[58],"components.":[61],"proposed":[63,109],"method":[64],"was":[65],"compared":[66],"against":[67],"state-of-the-art":[68],"data":[70],"generators,":[71],"such":[72],"as,":[73],"networks,":[76],"supervised":[78],"tree":[79,84],"ensembles":[80,85],"(STE),":[81],"unsupervised":[83],"(UTE),":[86],"and":[87,118,122],"artificial":[89],"neural":[90],"networks":[91],"(ANN)":[92],"towards":[93],"20000":[97],"patients":[99],"hypertrophic":[101],"cardiomyopathy":[102],"(HCM).":[103],"Our":[104],"results":[105],"suggest":[106],"that":[107],"BGMM":[110],"can":[111],"yield":[112],"distributions":[114],"small":[116],"inter-":[117],"intra-correlation":[119],"difference":[120],"(0.013":[121],"0.012),":[123],"in":[124],"lower":[125],"execution":[126],"time":[127],"(4.321":[128],"sec)":[129],"than":[130],"STE":[131],"which":[132],"achieved":[133],"second-best":[135],"performance.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2021-12-31T00:00:00"}