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Detection of activation regions in functional Magnetic Resonance Imaging (fMRI) experiments can be improved by cluster size thresholding, where small regions are removed in the post-processing step. It is believed that such small regions are spurious and hence can be removed without affecting the truly activated ones. We show that in the context of Markov Random Field (MRF) based segmentation, simple...
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