{"id":182,"date":"2019-02-04T10:39:27","date_gmt":"2019-02-04T09:39:27","guid":{"rendered":"https:\/\/project.inria.fr\/digitalbrain\/?page_id=182"},"modified":"2019-04-26T15:43:44","modified_gmt":"2019-04-26T13:43:44","slug":"resources","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/digitalbrain\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"<p><\/p>\n<h3 style=\"margin-top:50px\">Data<\/h3>\n<p>Data  used  to train the algorithms were  obtained  from  the  <a href=\"http:\/\/adni.loni.usc.edu\/\">Alzheimer\u2019s  Disease Neuroimaging  Initiative  (ADNI)<\/a>  database. The  ADNI  was  launched  in 2003 as  a  public-private  partnership,  led  by  Principal  Investigator  Michael  W.  Weiner, MD.The primary goal of ADNI has been to test whether serial magnetic resonance imaging (MRI),  positron  emission  tomography  (PET),  other  biological  markers,  and  clinical  and neuropsychological  assessment  can  be  combined  to  measure  the  progression  of  mild cognitive impairment (MCI) and early Alzheimer\u2019s disease (AD).For up-to-date information, see www.adni-info.org<\/p>\n<h3 style=\"margin-top:50px\">Related Scientific Publications<\/h3>\n<ul>\n<li><a href=\"https:\/\/hal.inria.fr\/hal-01964821\">Simulating Alzheimer&#8217;s disease progression with personalised digital brain models<\/a>,<em>  I. Koval, A. B\u00f4ne, M. Louis, S. Bottani, A. Marcoux, J. Samper-Gonzalez, N. Burgos, B. Charlier, A. Bertrand, S. Epelbaum, O. Colliot, S. Allassonni\u00e8re, S. Durrleman <\/em>, preprint<\/li>\n<li><a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fneur.2018.00235\/full\">Spatiotemporal propagation of the cortical atrophy during the course of Alzheimer\u2019s Disease: Population and individual patterns<\/a><em>, I. Koval, J.-B. Schiratti, A. Routier, M. Bacci, O. Colliot, S. Allassonni\u00e8re, S. Durrleman<\/em>, Frontiers in Neurology, section Neurodegeneration, 2018<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/1803.10119.pdf\">Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms<\/a><em>, A. B\u00f4ne, O. Colliot, S. Durrleman<\/em>, In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)<\/li>\n<li><a href=\"http:\/\/jmlr.csail.mit.edu\/papers\/volume18\/17-197\/17-197.pdf\">A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations<\/a>, <em>J.-B. Schiratti, S. Allassonni\u00e8re, O. Colliot, S. Durrleman<\/em>, Journal of Machine Learning Research, 18(133):1\u221233, 2017<\/li>\n<\/ul>\n<h3 style=\"margin-top:50px\">Software<\/h3>\n<p lang=\"fr\" style=\"margin: 0in; text-align: justify;\"> Results have been obtained using the software <a href=\"http:\/\/www.deformetrica.org\">Deformetrica<\/a> (for hippocampus atrophy) and Leaspy (for other modalities, to be released soon).<\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Data Data used to train the algorithms were obtained from the Alzheimer\u2019s Disease Neuroimaging Initiative (ADNI) database. The ADNI was launched in 2003 as a public-private partnership, led by Principal Investigator Michael W. Weiner, MD.The primary goal of ADNI has been to test whether serial magnetic resonance imaging (MRI), positron\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/digitalbrain\/resources\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1511,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-182","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/pages\/182","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/users\/1511"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/comments?post=182"}],"version-history":[{"count":8,"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/pages\/182\/revisions"}],"predecessor-version":[{"id":235,"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/pages\/182\/revisions\/235"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/digitalbrain\/wp-json\/wp\/v2\/media?parent=182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}