Decoding task-based fMRI data with graph neural networks, considering individual differences
Task fMRI provides an opportunity to analyze the working mechanisms of the human brain
during specific experimental paradigms. Deep learning models have increasingly been …
during specific experimental paradigms. Deep learning models have increasingly been …
Multitask fMRI data classification via group-wise hybrid temporal and spatial sparse representations
Task-based functional magnetic resonance imaging (tfMRI) has been widely used to induce
functional brain activities corresponding to various cognitive tasks. A relatively under …
functional brain activities corresponding to various cognitive tasks. A relatively under …
Static and Dynamic Connectivity Analysis of Human Brain via Functional Magnetic Resonance Imaging
B Sen - 2020 - search.proquest.com
Functional connectivity of brain refers to statistical dependence of brain functions among
often remote neuronal units. This thesis addresses two novel ways to analyse brain …
often remote neuronal units. This thesis addresses two novel ways to analyse brain …
Calculation of Sub-bands {1, 2, 5, 6} for 64-Point Complex FFT and Its extension to N (= 2^ N) Point FFT
B Sen - arXiv preprint arXiv:2203.01529, 2022 - arxiv.org
FFT algorithm is one of the most applied algorithmsin digital signal processing. Digital signal
processing hasgradually become important in biomedical application. Herehardware …
processing hasgradually become important in biomedical application. Herehardware …
Decoding Task-Based fMRI Data Using Graph Neural Networks, Considering Individual Differences
M Saeidi - 2022 - stars.library.ucf.edu
Functional magnetic resonance imaging (fMRI) is a non-invasive technology that provides
high spatial resolution in determining the human brain's responses and measures regional …
high spatial resolution in determining the human brain's responses and measures regional …