{"id":"https://openalex.org/W2294736737","doi":"https://doi.org/10.1109/jbhi.2016.2538559","title":"Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles","display_name":"Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles","publication_year":2016,"publication_date":"2016-03-04","ids":{"openalex":"https://openalex.org/W2294736737","doi":"https://doi.org/10.1109/jbhi.2016.2538559","mag":"2294736737","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113481"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2016.2538559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2538559","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/897791","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041627450","display_name":"Rub\u00e9n Arma\u00f1anzas","orcid":"https://orcid.org/0000-0003-4049-0000"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]},{"id":"https://openalex.org/I40036882","display_name":"Institute for Advanced Study","ror":"https://ror.org/00f809463","country_code":"US","type":"facility","lineage":["https://openalex.org/I40036882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruben Armananzas","raw_affiliation_strings":["Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631","https://openalex.org/I40036882"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026199652","display_name":"Martina Iglesias","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Martina Iglesias","raw_affiliation_strings":["Centro de Supercomputaci\u00f3n de Madrid, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Supercomputaci\u00f3n de Madrid, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024343482","display_name":"Dinora A. Morales","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Dinora A. Morales","raw_affiliation_strings":["Centro de Supercomputaci\u00f3n de Madrid, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Supercomputaci\u00f3n de Madrid, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046427842","display_name":"Lidia Alonso\u2010Nanclares","orcid":"https://orcid.org/0000-0003-2649-7097"},"institutions":[{"id":"https://openalex.org/I2184545","display_name":"Instituto Cajal","ror":"https://ror.org/012gwbh42","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I2184545"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Lidia Alonso-Nanclares","raw_affiliation_strings":["Instituto Cajal, CSIC, Madrid, Spain","Laboratorio Cajal de Circuitos Corticales, Centro de Tecnolog\u00eda Biom\u00e9dica, Pozuelo de Alarc\u00f3n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Cajal, CSIC, Madrid, Spain","institution_ids":["https://openalex.org/I2184545"]},{"raw_affiliation_string":"Laboratorio Cajal de Circuitos Corticales, Centro de Tecnolog\u00eda Biom\u00e9dica, Pozuelo de Alarc\u00f3n, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8595,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.90196493,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"3","first_page":"778","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937999844551086,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.8764277696609497},{"id":"https://openalex.org/keywords/statistical-parametric-mapping","display_name":"Statistical parametric mapping","score":0.7998131513595581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7866938710212708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7503137588500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480472326278687},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5963112115859985},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5462521910667419},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4819457530975342},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.47713518142700195},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46327540278434753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38921526074409485},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2075793743133545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1369268000125885},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09267035126686096},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08240953087806702},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07636666297912598},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0704704225063324}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.8764277696609497},{"id":"https://openalex.org/C39313694","wikidata":"https://www.wikidata.org/wiki/Q2940624","display_name":"Statistical parametric mapping","level":3,"score":0.7998131513595581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7866938710212708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7503137588500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480472326278687},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5963112115859985},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5462521910667419},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4819457530975342},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.47713518142700195},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46327540278434753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38921526074409485},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2075793743133545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1369268000125885},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09267035126686096},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08240953087806702},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07636666297912598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0704704225063324},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2016.2538559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2538559","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:28113481","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113481","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:digital.csic.es:10261/221448","is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/221448","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"art\u00edculo"},{"id":"pmh:oai:zenodo.org:897791","is_oa":true,"landing_page_url":"https://zenodo.org/record/897791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:897791","is_oa":true,"landing_page_url":"https://zenodo.org/record/897791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4000000059604645,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1890010018","display_name":"The Pyramidal Neuron in Cognition and Alzheimer's Disease","funder_award_id":"ZEN-15-321663","funder_id":"https://openalex.org/F4320306219","funder_display_name":"Alzheimer's Association"},{"id":"https://openalex.org/G3359890016","display_name":null,"funder_award_id":"NS39600","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3708318561","display_name":null,"funder_award_id":"NS39600","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G5503532716","display_name":null,"funder_award_id":"R01 NS39600","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G8393626665","display_name":null,"funder_award_id":"BFU2012-34963","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G8891450097","display_name":null,"funder_award_id":"R01 NS39600","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306219","display_name":"Alzheimer's Association","ror":"https://ror.org/0375f4d26"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W1497256448","https://openalex.org/W1504115109","https://openalex.org/W1512098439","https://openalex.org/W1528119265","https://openalex.org/W1545302199","https://openalex.org/W1582546938","https://openalex.org/W1600627099","https://openalex.org/W1912123407","https://openalex.org/W1965411365","https://openalex.org/W1993804466","https://openalex.org/W2000292092","https://openalex.org/W2011011368","https://openalex.org/W2017337590","https://openalex.org/W2025311531","https://openalex.org/W2026483346","https://openalex.org/W2033942760","https://openalex.org/W2036622325","https://openalex.org/W2043888598","https://openalex.org/W2046146277","https://openalex.org/W2052742260","https://openalex.org/W2055371284","https://openalex.org/W2065414989","https://openalex.org/W2086915492","https://openalex.org/W2098740506","https://openalex.org/W2109807300","https://openalex.org/W2113242816","https://openalex.org/W2115358726","https://openalex.org/W2118585731","https://openalex.org/W2137412658","https://openalex.org/W2139261426","https://openalex.org/W2143426320","https://openalex.org/W2156865235","https://openalex.org/W2158131927","https://openalex.org/W2159072799","https://openalex.org/W2160843698","https://openalex.org/W2171831801","https://openalex.org/W2544894372","https://openalex.org/W2891826186","https://openalex.org/W2911964244","https://openalex.org/W2952030713","https://openalex.org/W4210975612","https://openalex.org/W6630527977","https://openalex.org/W6636051361","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2327200162","https://openalex.org/W2119508653","https://openalex.org/W1977508323","https://openalex.org/W2129529516","https://openalex.org/W2781524617","https://openalex.org/W2152416379","https://openalex.org/W3032257994","https://openalex.org/W1987060659","https://openalex.org/W2042306781"],"abstract_inverted_index":{"Functional":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(fMRI)":[4],"is":[5,183],"one":[6],"of":[7,26,34,56,94,105,111,151],"the":[8,24,32,47,92,103,126,148,178],"most":[9],"promising":[10],"noninvasive":[11],"techniques":[12,30,80],"for":[13,37,91],"early":[14],"Alzheimer's":[15],"disease":[16],"(AD)":[17],"diagnosis.":[18],"In":[19],"this":[20,38],"paper,":[21],"we":[22],"explore":[23],"application":[25],"different":[27],"machine":[28,179],"learning":[29,180],"to":[31,52,66,187],"classification":[33,121,155],"fMRI":[35],"data":[36],"purpose.":[39],"The":[40,97],"functional":[41],"images":[42],"were":[43,81,113],"first":[44],"preprocessed":[45],"using":[46,87,144],"statistical":[48,145],"parametric":[49],"mapping":[50],"toolbox":[51],"output":[53],"individual":[54],"maps":[55],"statistically":[57],"activated":[58,70],"voxels.":[59,96],"A":[60],"fast":[61],"filter":[62],"was":[63,100,123,142],"applied":[64],"afterwards":[65],"select":[67],"voxels":[68],"commonly":[69],"across":[71],"demented":[72,172],"and":[73,129,147,154,173],"nondemented":[74,174],"groups.":[75,196],"Four":[76],"feature":[77],"ranking":[78],"selection":[79,93,153],"embedded":[82],"into":[83],"a":[84,157,184],"wrapper":[85,98],"scheme":[86],"an":[88],"inner-outer":[89],"loop":[90],"relevant":[95],"approach":[99],"guided":[101],"by":[102,138],"performance":[104,122,141],"six":[106],"pattern":[107],"recognition":[108],"models,":[109],"three":[110],"which":[112],"ensemble":[114],"classifiers":[115],"based":[116],"on":[117],"stochastic":[118],"searches.":[119],"Final":[120],"assessed":[124],"from":[125],"nested":[127],"internal":[128],"external":[130],"cross-validation":[131],"loops":[132],"taking":[133],"several":[134,191],"voxel":[135,152],"sets":[136],"ordered":[137],"importance.":[139],"Numerical":[140],"evaluated":[143],"tests,":[146],"best":[149],"combination":[150],"reached":[156],"97.14%":[158],"average":[159],"accuracy.":[160],"Results":[161],"repeatedly":[162],"pointed":[163],"out":[164],"Brodmann":[165],"regions":[166,193],"with":[167],"distinct":[168],"activation":[169],"patterns":[170],"between":[171,194],"profiles,":[175],"indicating":[176],"that":[177],"analysis":[181],"described":[182],"powerful":[185],"method":[186],"detect":[188],"differences":[189],"in":[190],"brain":[192],"both":[195]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}