Browsing by Subject "fMRI"
Now showing items 1-2 of 2
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Machine Learning and Deep Learning Applications in Neuroimaging
(2020-08-20)Deep Learning (DL) tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes. Radiological images such as MRI and CT, often contain complex patterns that can be difficult ... -
Proposing a Sparse Weighted Directed Network Construction Method and a Novel Mutual-Information based Sparse Feature Selection Algorithm for Multivariate Time-series Analysis and its Application in Medical Diagnostic Problems
(2018-08-24)The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed ...