{"id":"https://openalex.org/W1582893002","doi":"https://doi.org/10.1109/jproc.2015.2461624","title":"Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties","display_name":"Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties","publication_year":2015,"publication_date":"2015-08-17","ids":{"openalex":"https://openalex.org/W1582893002","doi":"https://doi.org/10.1109/jproc.2015.2461624","mag":"1582893002","pmid":"https://pubmed.ncbi.nlm.nih.gov/26525830"},"language":"en","primary_location":{"id":"doi:10.1109/jproc.2015.2461624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2015.2461624","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"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":"Proceedings of the IEEE","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4624202","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay AdalI","raw_affiliation_strings":["Department of CSEE, University of Maryland, Baltimore County, Baltimore, MD 21250, USA","Dept. of CSEE, University of Maryland, Baltimore County, Baltimore, MD, 21250 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSEE, University of Maryland, Baltimore County, Baltimore, MD 21250, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"Dept. of CSEE, University of Maryland, Baltimore County, Baltimore, MD, 21250 USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027564445","display_name":"Yuri Levin\u2010Schwartz","orcid":"https://orcid.org/0000-0003-0494-7990"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuri Levin-Schwartz","raw_affiliation_strings":["Department of CSEE, University of Maryland, Baltimore County, Baltimore, MD 21250, USA","Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSEE, University of Maryland, Baltimore County, Baltimore, MD 21250, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I1334567473","display_name":"Mind Research Network","ror":"https://ror.org/032cjfs80","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1334567473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince D. Calhoun","raw_affiliation_strings":["University of New Mexico and the Mind Research Network, Albuquerque, NM 87106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Mexico and the Mind Research Network, Albuquerque, NM 87106, USA","institution_ids":["https://openalex.org/I1334567473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":9.9684,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.98411776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"103","issue":"9","first_page":"1478","last_page":"1493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9868999719619751,"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/T11434","display_name":"Electrochemical Analysis and Applications","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1603","display_name":"Electrochemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.8242963552474976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958876848220825},{"id":"https://openalex.org/keywords/multiset","display_name":"Multiset","score":0.639910101890564},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.599514901638031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5791038274765015},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5641055107116699},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5369169116020203},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5344238877296448},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5077748894691467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4444194734096527},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4239719808101654},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.42110538482666016},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41967326402664185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4099152088165283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1971769630908966},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10775253176689148}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8242963552474976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958876848220825},{"id":"https://openalex.org/C2779623528","wikidata":"https://www.wikidata.org/wiki/Q864377","display_name":"Multiset","level":2,"score":0.639910101890564},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.599514901638031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791038274765015},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5641055107116699},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5369169116020203},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5344238877296448},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5077748894691467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4444194734096527},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4239719808101654},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.42110538482666016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41967326402664185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4099152088165283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1971769630908966},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10775253176689148},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/jproc.2015.2461624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2015.2461624","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"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":"Proceedings of the IEEE","raw_type":"journal-article"},{"id":"pmid:26525830","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26525830","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":"Proceedings of the IEEE. Institute of Electrical and Electronics Engineers","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4624202","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4624202","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"Proc IEEE Inst Electr Electron Eng","raw_type":"Text"},{"id":"pmh:oai:mdsoar.org:11603/12848","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/12848","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2ufzf-utjx","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2ufzf-utjx","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Collection"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4624202","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4624202","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"Proc IEEE Inst Electr Electron Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2999091415","display_name":null,"funder_award_id":"R01 EB000840","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G5140373084","display_name":null,"funder_award_id":"R01MH104680","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G556043036","display_name":null,"funder_award_id":"P20GM103472","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G595497569","display_name":null,"funder_award_id":"R01 EB006841","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G658950412","display_name":null,"funder_award_id":"R01 EB 020407","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"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":93,"referenced_works":["https://openalex.org/W1485777917","https://openalex.org/W1513100438","https://openalex.org/W1582893002","https://openalex.org/W1593393449","https://openalex.org/W1755563775","https://openalex.org/W1863607633","https://openalex.org/W1964204554","https://openalex.org/W1974637957","https://openalex.org/W1975077471","https://openalex.org/W1976028245","https://openalex.org/W1977067929","https://openalex.org/W1983457024","https://openalex.org/W1985327120","https://openalex.org/W1986589478","https://openalex.org/W1988780137","https://openalex.org/W1991840148","https://openalex.org/W2001169189","https://openalex.org/W2001870301","https://openalex.org/W2013653677","https://openalex.org/W2021189660","https://openalex.org/W2021727929","https://openalex.org/W2025341678","https://openalex.org/W2027017271","https://openalex.org/W2031122345","https://openalex.org/W2031564282","https://openalex.org/W2033128599","https://openalex.org/W2040985763","https://openalex.org/W2050943425","https://openalex.org/W2054658115","https://openalex.org/W2055627139","https://openalex.org/W2055637322","https://openalex.org/W2058408209","https://openalex.org/W2063756990","https://openalex.org/W2065131965","https://openalex.org/W2065346482","https://openalex.org/W2069767403","https://openalex.org/W2074709877","https://openalex.org/W2078604986","https://openalex.org/W2081689238","https://openalex.org/W2082207932","https://openalex.org/W2084301006","https://openalex.org/W2093313017","https://openalex.org/W2094345233","https://openalex.org/W2096663965","https://openalex.org/W2096710051","https://openalex.org/W2097349635","https://openalex.org/W2098945231","https://openalex.org/W2099388546","https://openalex.org/W2099741732","https://openalex.org/W2108384452","https://openalex.org/W2110476671","https://openalex.org/W2113082700","https://openalex.org/W2113506774","https://openalex.org/W2124757684","https://openalex.org/W2126785585","https://openalex.org/W2126843255","https://openalex.org/W2127421076","https://openalex.org/W2127737934","https://openalex.org/W2128042129","https://openalex.org/W2128967371","https://openalex.org/W2131436045","https://openalex.org/W2132022182","https://openalex.org/W2133069808","https://openalex.org/W2135503775","https://openalex.org/W2137911531","https://openalex.org/W2141224535","https://openalex.org/W2142635246","https://openalex.org/W2142638745","https://openalex.org/W2144382539","https://openalex.org/W2145424836","https://openalex.org/W2146672645","https://openalex.org/W2147614211","https://openalex.org/W2149709356","https://openalex.org/W2152031252","https://openalex.org/W2157050350","https://openalex.org/W2159071216","https://openalex.org/W2162615138","https://openalex.org/W2168175751","https://openalex.org/W2400017852","https://openalex.org/W2494015060","https://openalex.org/W2539141352","https://openalex.org/W3010812135","https://openalex.org/W3092565706","https://openalex.org/W4205769288","https://openalex.org/W4205778870","https://openalex.org/W4206534006","https://openalex.org/W4237723258","https://openalex.org/W4237951138","https://openalex.org/W4300989551","https://openalex.org/W6646130859","https://openalex.org/W6664517110","https://openalex.org/W6679756777","https://openalex.org/W6712861195"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2046761971","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460","https://openalex.org/W1785857632"],"abstract_inverted_index":{"Fusion":[0],"of":[1,6,14,67,73,93,99,132,162,201,217,243,266],"information":[2],"from":[3,134],"multiple":[4,108,135,155],"sets":[5],"data":[7,133,151],"in":[8,71,123,183,219,263],"order":[9],"to":[10,28,52,107,130,233,257],"extract":[11],"a":[12,84,199,244],"set":[13],"features":[15,164],"that":[16,153,165,178],"are":[17,252],"most":[18],"useful":[19,81],"and":[20,70,88,118,186,230],"relevant":[21],"for":[22,63,149,159],"the":[23,42,46,54,60,64,91,112,116,160,174,187,191,192,211,215,220,235,241,260,264],"given":[24],"task":[25],"is":[26,39,49,173,190],"inherent":[27],"many":[29],"problems":[30],"we":[31,121,143,213],"deal":[32],"with":[33,83,138,247],"today.":[34],"Since,":[35],"usually,":[36],"very":[37],"little":[38],"known":[40],"about":[41],"actual":[43],"interaction":[44],"among":[45],"datasets,":[47,117],"it":[48,79],"highly":[50],"desirable":[51],"minimize":[53],"underlying":[55,163],"assumptions.":[56],"This":[57],"has":[58,179],"been":[59],"main":[61,261],"reason":[62],"growing":[65],"importance":[66],"data-driven":[68],"methods,":[69],"particular":[72],"independent":[74,101],"component":[75],"analysis":[76,103],"(ICA)":[77],"as":[78,120,198],"provides":[80,126],"decompositions":[82,221],"simple":[85],"generative":[86],"model":[87,177,195,245],"using":[89],"only":[90],"assumption":[92],"statistical":[94,113],"independence.":[95],"A":[96],"recent":[97],"extension":[98],"ICA,":[100],"vector":[102],"(IVA)":[104],"generalizes":[105],"ICA":[106,176],"datasets":[109,136],"by":[110,223,254],"exploiting":[111],"dependence":[114],"across":[115],"hence,":[119],"discuss":[122],"this":[124,141],"paper,":[125,142],"an":[127,202],"attractive":[128],"solution":[129,172],"fusion":[131,152],"along":[137,246],"ICA.":[139],"In":[140,210],"focus":[144],"on":[145,168,205,240],"two":[146,225],"multivariate":[147],"solutions":[148],"multi-modal":[150],"let":[154],"modalities":[156],"fully":[157],"interact":[158],"estimation":[161],"jointly":[166],"report":[167],"all":[169],"modalities.":[170],"One":[171],"Joint":[175],"found":[180],"wide":[181],"application":[182],"medical":[184],"imaging,":[185],"second":[188],"one":[189],"Transposed":[193],"IVA":[194],"introduced":[196],"here":[197],"generalization":[200],"approach":[203],"based":[204],"multi-set":[206],"canonical":[207],"correlation":[208],"analysis.":[209],"discussion,":[212],"emphasize":[214],"role":[216],"diversity":[218],"achieved":[222],"these":[224,267],"models,":[226],"present":[227],"their":[228],"properties":[229],"implementation":[231,265],"details":[232],"enable":[234],"user":[236],"make":[237],"informed":[238],"decisions":[239],"selection":[242],"its":[248],"associated":[249],"parameters.":[250],"Discussions":[251],"supported":[253],"simulation":[255],"results":[256],"help":[258],"highlight":[259],"issues":[262],"methods.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
