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Dissertation submitted in partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering

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Academic year: 2019

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Table 2.1: Methods used to calculate FC and EC.
Table 3.1: Summary of classifications using rs-fMRI in the ADHD-200 dataset.
Figure 4.1: From rs-fMRI to classification.
Figure 5.1: Normalized distribution of the ADHD and the HC classes in the feature with the lowest p-value from a binary ANOVA test in the whole ACPI dataset (left) and in the whole (train set plus predefined test set) ADHD-200 dataset (right)
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