{"id":"https://openalex.org/W1965636748","doi":"https://doi.org/10.1016/s0933-3657(03)00039-3","title":"Structural shape characterization via exploratory factor analysis","display_name":"Structural shape characterization via exploratory factor analysis","publication_year":2003,"publication_date":"2003-06-02","ids":{"openalex":"https://openalex.org/W1965636748","doi":"https://doi.org/10.1016/s0933-3657(03)00039-3","mag":"1965636748","pmid":"https://pubmed.ncbi.nlm.nih.gov/14992761"},"language":"en","primary_location":{"id":"doi:10.1016/s0933-3657(03)00039-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0933-3657(03)00039-3","pdf_url":null,"source":{"id":"https://openalex.org/S42468263","display_name":"Artificial Intelligence in Medicine","issn_l":"0933-3657","issn":["0933-3657","1873-2860"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence in Medicine","raw_type":"journal-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":"https://openalex.org/A5027015115","display_name":"Alexei Manso Corr\u00eaa Machado","orcid":"https://orcid.org/0000-0001-8077-3377"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Alexei M.C. Machado","raw_affiliation_strings":["Graduate Program on Electrical Engineering, Pontifical Catholic University of Minas Gerais, Av. Dom Jose Gaspar 500, 30535-610 Belo Horizonte, MG, Brazil. alexei@pucminas.br","Graduate Program on Electrical Engineering, Pontifical Catholic University of Minas Gerais, Av. Dom Jose Gaspar 500, 30535-610 Belo Horizonte, MG, Brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program on Electrical Engineering, Pontifical Catholic University of Minas Gerais, Av. Dom Jose Gaspar 500, 30535-610 Belo Horizonte, MG, Brazil. alexei@pucminas.br","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Graduate Program on Electrical Engineering, Pontifical Catholic University of Minas Gerais, Av. Dom Jose Gaspar 500, 30535-610 Belo Horizonte, MG, Brazil#TAB#","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005451810","display_name":"James C. Gee","orcid":"https://orcid.org/0000-0002-2258-0187"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Gee","raw_affiliation_strings":["Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA","Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA\u00a019104, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA\u00a019104, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015111328","display_name":"M\u00e1rio F. M. Campos","orcid":"https://orcid.org/0000-0002-8336-9190"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mario F.M. Campos","raw_affiliation_strings":["Department of Computer Science, Federal University of Minas Gerais, Caixa Postal 702, 30161-610 Belo Horizonte, MG, Brazil","Department of Computer Science, Federal University of Minas Gerais, Caixa Postal 702, 30161-610 Belo Horizonte, MG, Brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal University of Minas Gerais, Caixa Postal 702, 30161-610 Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Computer Science, Federal University of Minas Gerais, Caixa Postal 702, 30161-610 Belo Horizonte, MG, Brazil#TAB#","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027015115"],"corresponding_institution_ids":["https://openalex.org/I170935008"],"apc_list":{"value":3230,"currency":"USD","value_usd":3230},"apc_paid":null,"fwci":1.2468,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75107745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"2","first_page":"97","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9229000210762024,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9229000210762024,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0272000003606081,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.01119999960064888,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7108876705169678},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5843186378479004},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.5071084499359131},{"id":"https://openalex.org/keywords/exploratory-factor-analysis","display_name":"Exploratory factor analysis","score":0.4429682791233063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41731947660446167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24564918875694275},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.1516173779964447},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10701751708984375},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.09013223648071289},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0849807858467102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108876705169678},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5843186378479004},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.5071084499359131},{"id":"https://openalex.org/C165957694","wikidata":"https://www.wikidata.org/wiki/Q5421350","display_name":"Exploratory factor analysis","level":3,"score":0.4429682791233063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41731947660446167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24564918875694275},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.1516173779964447},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10701751708984375},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.09013223648071289},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0849807858467102}],"mesh":[{"descriptor_ui":"D000886","descriptor_name":"Anthropometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000886","descriptor_name":"Anthropometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000886","descriptor_name":"Anthropometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003337","descriptor_name":"Corpus Callosum","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D003337","descriptor_name":"Corpus Callosum","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D003337","descriptor_name":"Corpus Callosum","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D005163","descriptor_name":"Factor Analysis, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005163","descriptor_name":"Factor Analysis, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005163","descriptor_name":"Factor Analysis, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007839","descriptor_name":"Functional Laterality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007839","descriptor_name":"Functional Laterality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007839","descriptor_name":"Functional Laterality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012737","descriptor_name":"Sex Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012737","descriptor_name":"Sex Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012737","descriptor_name":"Sex Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1016/s0933-3657(03)00039-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0933-3657(03)00039-3","pdf_url":null,"source":{"id":"https://openalex.org/S42468263","display_name":"Artificial Intelligence in Medicine","issn_l":"0933-3657","issn":["0933-3657","1873-2860"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence in Medicine","raw_type":"journal-article"},{"id":"pmid:14992761","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/14992761","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":"Artificial intelligence in medicine","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G1181363900","display_name":null,"funder_award_id":"NS-33662","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G1291160882","display_name":null,"funder_award_id":"AG15116","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G4871721010","display_name":null,"funder_award_id":"AG17586","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G785321149","display_name":null,"funder_award_id":"LM-03504","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W105479491","https://openalex.org/W1531521015","https://openalex.org/W1531827761","https://openalex.org/W1563882540","https://openalex.org/W1932718338","https://openalex.org/W1966382716","https://openalex.org/W1980199048","https://openalex.org/W1986499195","https://openalex.org/W1986580147","https://openalex.org/W1994157465","https://openalex.org/W1994690234","https://openalex.org/W1998310089","https://openalex.org/W2005726513","https://openalex.org/W2007153649","https://openalex.org/W2007388705","https://openalex.org/W2015255805","https://openalex.org/W2021461280","https://openalex.org/W2021640751","https://openalex.org/W2026277067","https://openalex.org/W2033283057","https://openalex.org/W2041398617","https://openalex.org/W2050980831","https://openalex.org/W2052169203","https://openalex.org/W2077135322","https://openalex.org/W2079498324","https://openalex.org/W2084258254","https://openalex.org/W2088872022","https://openalex.org/W2093727824","https://openalex.org/W2103139809","https://openalex.org/W2106308174","https://openalex.org/W2106904753","https://openalex.org/W2111737762","https://openalex.org/W2116509791","https://openalex.org/W2124157693","https://openalex.org/W2143746557","https://openalex.org/W2311801255","https://openalex.org/W2314250501","https://openalex.org/W2334526765","https://openalex.org/W2722851397","https://openalex.org/W2795739367","https://openalex.org/W2797470606","https://openalex.org/W4232061929","https://openalex.org/W4232501697","https://openalex.org/W4254004007","https://openalex.org/W4292890447"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3107994849","https://openalex.org/W4247143848","https://openalex.org/W2009883749","https://openalex.org/W3026084810","https://openalex.org/W2152487972","https://openalex.org/W2353508554","https://openalex.org/W3094117282","https://openalex.org/W3171174593","https://openalex.org/W1997919949"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}