{"id":878,"date":"2019-09-03T15:12:28","date_gmt":"2019-09-03T18:12:28","guid":{"rendered":"http:\/\/dragustinibanez.com\/?p=878"},"modified":"2019-09-03T15:13:44","modified_gmt":"2019-09-03T18:13:44","slug":"robust-automated-computational-approach-for-classifying-frontotemporal-neurodegeneration-multimodal-multicenter-neuroimaging-alzheimers-dementia-2019","status":"publish","type":"post","link":"https:\/\/dragustinibanez.com\/index.php\/2019\/09\/03\/robust-automated-computational-approach-for-classifying-frontotemporal-neurodegeneration-multimodal-multicenter-neuroimaging-alzheimers-dementia-2019\/","title":{"rendered":"Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal\/multicenter neuroimaging. Alzheimer&#8217;s &#038; Dementia, 2019"},"content":{"rendered":"<p>Donnelly-Kehoe P, Orlando Pascariello G, Garc\u00eda AM, Hodges J, Miller B, Rosen H, Manes F, LandinRomero R, Matallana D, Serrano C, Herrera E, Reyes P, Santamaria-Garcia H, Kumfor F, Piguet O, Ibanez A, Sede\u00f1o L. Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal\/multicenter neuroimaging. Alzheimer&#8217;s &#038; Dementia, 2019, (11) 588-598. <a href=\"https:\/\/doi.org\/10.1016\/j.dadm.2019.06.002\" rel=\"noopener noreferrer\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.dadm.2019.06.002 <\/a><\/p>\n<p>Titulo en espa\u00f1ol: Enfoque computacional robusto y autom\u00e1tico para la clasificaci\u00f3n de la neurodegeneraci\u00f3n frontotemporal: Neuroim\u00e1genes multimodales\/Multic\u00e9ntricas.<\/p>\n<p>En este reporte multic\u00e9ntrico de tres centros diferentes implementamos un enfoque computacional para identificar pacientes con demencia frontotemporal. Usando machine learning, combinamos datos cerebrales estructurales y de conectividad cerebral, obteniendo una alta precisi\u00f3n de clasificaci\u00f3n (91%) en todos los centros. Este procedimiento permite comparar datos de pacientes de diferentes centros y realizar an\u00e1lisis de forma totalmente autom\u00e1tica.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Donnelly-Kehoe P, Orlando Pascariello G, Garc\u00eda AM, Hodges J, Miller B, Rosen H, Manes F, LandinRomero R, Matallana D, Serrano&nbsp;[&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/posts\/878"}],"collection":[{"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/comments?post=878"}],"version-history":[{"count":2,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/posts\/878\/revisions"}],"predecessor-version":[{"id":880,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/posts\/878\/revisions\/880"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/media\/873"}],"wp:attachment":[{"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/media?parent=878"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/categories?post=878"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dragustinibanez.com\/index.php\/wp-json\/wp\/v2\/tags?post=878"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}