Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.

Gois L, Yang H, Vu T, Wang W, Fantinato D, Neves A, Calhoun VD, Adali T

Open source

DOI
10.1109/access.2026.3662260
Published
2026
Container
IEEE access : practical innovations, open solutions
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/access.2026.3662260,
  title = {Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.},
  author = {Gois L and Yang H and Vu T and Wang W and Fantinato D and Neves A and Calhoun VD and Adali T},
  year = {2026},
  journal = {IEEE access : practical innovations, open solutions},
  doi = {10.1109/access.2026.3662260},
  url = {https://doi.org/10.1109/access.2026.3662260}
}

RIS

TY  - JOUR
TI  - Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.
AU  - Gois L
AU  - Yang H
AU  - Vu T
AU  - Wang W
AU  - Fantinato D
AU  - Neves A
AU  - Calhoun VD
AU  - Adali T
PY  - 2026
JO  - IEEE access : practical innovations, open solutions
DO  - 10.1109/access.2026.3662260
UR  - https://doi.org/10.1109/access.2026.3662260
ER  - 

APA

L, G., H, Y., T, V., W, W., D, F., A, N., VD, C., & T, A. (2026). Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.. IEEE access : practical innovations, open solutions. https://doi.org/10.1109/access.2026.3662260

Source records