The 5th International Workshop on Pattern Recognition in Neuroimaging will be held at Stanford University, June 10-12 2015.
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.
WBD2010 (Istanbul) PRNI2011 (Korea U., Seoul) PRNI2012 (UCL, London) PRNI2013 (UPenn, Philadelphia) PRNI2014 (MPI-IS,Tübingen)