Ranking regions, edges and classifying tasks in functional brain graphs by sub-graph entropy
This paper considers analysis of human brain networks or graphs constructed from time-
series collected from functional magnetic resonance imaging (fMRI). In the network of time …
series collected from functional magnetic resonance imaging (fMRI). In the network of time …
Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-R and Rank-1 Least Squares
LD Kuang, QH Lin, XF Gong, J Zhang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Complex-valued shift-invariant canonical polyadic decomposition (CPD) under a spatial
phase sparsity constraint (pcsCPD) shows excellent separation performance when applied …
phase sparsity constraint (pcsCPD) shows excellent separation performance when applied …
A projected Newton-type algorithm for rank-revealing nonnegative block-term tensor decomposition
E Kofidis, PV Giampouras… - 2022 30th European …, 2022 - ieeexplore.ieee.org
The block-term tensor decomposition (BTD) model has been receiving increasing attention
as a quite flexible way to capture the structure of 3-dimensional data that can be naturally …
as a quite flexible way to capture the structure of 3-dimensional data that can be naturally …
An accelerated rank-(L, L, 1, 1) block term decomposition of multi-subject fMRI data under spatial orthonormality constraint
LD Kuang, B Wang, QH Lin, HP Zhang… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
The decomposition of multi-subject fMRI data using rank-(L, L, 1, 1) block term
decomposition (BTD) can preserve higher-way data structure and is more robust to noise …
decomposition (BTD) can preserve higher-way data structure and is more robust to noise …
Predicting tasks from task-fMRI using blind source separation
Signal estimation from functional magnetic resonance imaging data (fMRI) is a difficult and
challenging task that involves carefully chosen models that can be validated by domain …
challenging task that involves carefully chosen models that can be validated by domain …
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 …
The Orthogonal Analysis of Tensor Decomposition forMultisubject FMRI Analysis
B Wang, B Cui, Y Zhang - 2022 International Conference on …, 2022 - atlantis-press.com
As neuroimaging technology matures, high-dimensional biomedical data is gradually
applied to research. Location of activated regions from multi subject fMRI data is the …
applied to research. Location of activated regions from multi subject fMRI data is the …