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  "Version": "0.2",
  "Date": "2018-07-27",
  "Title": "All-Resolution Inference",
  "Author": "Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt,\nAldo Solari",
  "Maintainer": "Livio Finos <livio.finos@unipd.it>",
  "Description": "It performs All-Resolutions Inference (ARI) on functional\nMagnetic Resonance Image (fMRI) data. As a main feature, it\nestimates lower bounds for the proportion of active voxels in a\nset of clusters as, for example, given by a cluster-wise\nanalysis. The method is described in Rosenblatt, Finos, Weeda,\nSolari, Goeman (2018) <doi:10.1016/j.neuroimage.2018.07.060>.",
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  "Date/Publication": "2018-08-01 11:20:02 UTC",
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      "title": "All-Resolutions Inference",
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      "page": "ARI",
      "title": "Valid Circular Inference (ARI) for Brain Imaging",
      "topics": [
        "ARI"
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      "author": "Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt, Aldo Solari",
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        "Introduction",
        "Sintax and parameters",
        "<a name=\"nii\"> Performing the analysis from nifti (nii) files </a>",
        "Making the map cluster.nii.gz with FSL",
        "ARI analysis",
        "other ARI examples",
        "using arrays",
        "Define threshold and clusters on the basis of concentration set (optimal threshold)"
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      "modified": "2018-08-01 11:20:02",
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