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  <title>NITRC News Group Forum: prni-2015</title>
  <link>http://www.nitrc.org/forum/forum.php?forum_id=5094</link>
  <description>&lt;p&gt;5th International Workshop on Pattern Recognition in NeuroImaging (PRNI 2015)&lt;br /&gt;Stanford, CA, USA - June 10-12 2015&lt;br /&gt;&lt;br /&gt; &lt;a href=&quot;https://sites.google.com/site/prni2015/&quot;&gt; PRNI 2015 &lt;/a&gt; &lt;br /&gt;&lt;br /&gt;Pattern recognition techniques have become a staple of neuroimaging data analysis, with several open source dedicated toolboxes available to a large audience, in a variety of languages. In parallel, there has been a large increase in the availability of publicly available datasets, which routinely comprise several hundred subjects. Not only has the amount of data increased, but the variety of modalities available openly has also kept up, with behavioral test results, biomarker data, genotype and gene expression data now becoming abundant. This has created new challenges for storage and distribution of neuroimaging data, and given more importance to informatics infrastructures. This state of affairs has also further emphasized the critical role of multivariate modeling techniques, in particular those techniques that can handle multiple modalities, such as partial least squares, joint/parallel ICA, or canonical correlation analysis and their sparse and regularized versions. The dialogue between producers and consumers of multivariate, predictive modeling methods is ongoing, with great benefits for all involved.&lt;br /&gt; &lt;br /&gt;** Topics of interest&lt;br /&gt;PRNI welcomes late breaking abstract submissions on predictive models of neuroimaging data, using e.g. fMRI, sMRI, EEG, MEG, ECoG modalities, including but not limited to the following&lt;br /&gt;&lt;br /&gt;* Learning &amp;amp; inference on neuroimaging data&lt;br /&gt;Multimodal learning&lt;br /&gt;Causal modeling&lt;br /&gt;Dynamic and time-varying models&lt;br /&gt;Graph kernels&lt;br /&gt;&lt;br /&gt;* Large-scale open neuroimaging datasets&lt;br /&gt;Distributed learning&lt;br /&gt;Meta- and mega-analysis frameworks&lt;br /&gt;Approximate inference for large-scale data&lt;br /&gt;Tools and languages for efficient &lt;br /&gt;&lt;br /&gt;* Applications &lt;br /&gt;Imaging genomics&lt;br /&gt;Neurorehabilitation&lt;br /&gt;Affective sciences&lt;br /&gt;Perception&lt;br /&gt;&lt;br /&gt;** Submission Guidelines&lt;br /&gt;Authors should prepare shorts abstracts of no longer than 500 words in text/word/pdf format. Abstracts may be submitted by email to PRNIabstracts@gmail.com. Accepted abstracts will be presented as posters at the conference. Accepted abstracts will not be included in the IEEE proceedings but will be published online. For detailed instructions, please see the workshop website.&lt;br /&gt;&lt;br /&gt;** Important Dates&lt;br /&gt;Abstract submission deadline: Rolling deadline until 31st of May, 2015&lt;br /&gt;Acceptance notification: within a week of submission&lt;br /&gt;Workshop: 10th-12th of June, 2015&lt;br /&gt;&lt;br /&gt;** Organising Committee&lt;br /&gt;&lt;br /&gt;Chairs&lt;br /&gt;    V. Menon (Stanford U., US)&lt;br /&gt;    JB Poline (UC Berkeley, US)&lt;br /&gt;&lt;br /&gt;Programme Chairs&lt;br /&gt;    S. Ryali (Stanford U., US)&lt;br /&gt;    T. Chen (Stanford U., US)&lt;br /&gt;    B. Ng (Stanford U., US)&lt;br /&gt;    S. Koyejo (Stanford U., US)&lt;br /&gt;    &lt;br /&gt;Local Chair&lt;br /&gt;    K. Supekar (Stanford U. US)&lt;br /&gt;&lt;br /&gt;Social Chair&lt;br /&gt;    J. Schrouff (Stanford U., US)&lt;br /&gt;&lt;br /&gt;Finance &amp;amp; Sponsorship Chair&lt;br /&gt;    J. Richiardi (U. of Geneva, CH)&lt;br /&gt;&lt;br /&gt;** Steering Committee&lt;br /&gt;    Moritz Grosse-Wentrup (MPI, DE)&lt;br /&gt;    Nikolaos Koutsouleris (LMU, DE)&lt;br /&gt;    Janaina Mourao-Miranda (UCL, UK)&lt;br /&gt;    Marcel Van Gerven (Radboud U., NL)&lt;br /&gt;    Gaël Varoquaux (INRIA/CEA Neurospin, FR) (Chair)&lt;/p&gt;</description>
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