Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns.

Speckert A, Gianinazzi L, Kollmorgen S, Hagmann C, Grehten P, Kottke R, Natalucci G, Latal B, Knirsch W, Tuura R, Hoefler T, Jakab A

Open source

DOI
10.1016/j.neuroimage.2025.121568
Published
2025 Nov 15
Container
NeuroImage
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 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:10.1016/j.neuroimage.2025.121568,
  title = {Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns.},
  author = {Speckert A and Gianinazzi L and Kollmorgen S and Hagmann C and Grehten P and Kottke R and Natalucci G and Latal B and Knirsch W and Tuura R and Hoefler T and Jakab A},
  year = {2025},
  journal = {NeuroImage},
  doi = {10.1016/j.neuroimage.2025.121568},
  url = {https://doi.org/10.1016/j.neuroimage.2025.121568}
}

RIS

TY  - JOUR
TI  - Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns.
AU  - Speckert A
AU  - Gianinazzi L
AU  - Kollmorgen S
AU  - Hagmann C
AU  - Grehten P
AU  - Kottke R
AU  - Natalucci G
AU  - Latal B
AU  - Knirsch W
AU  - Tuura R
AU  - Hoefler T
AU  - Jakab A
PY  - 2025
JO  - NeuroImage
DO  - 10.1016/j.neuroimage.2025.121568
UR  - https://doi.org/10.1016/j.neuroimage.2025.121568
ER  - 

APA

A, S., L, G., S, K., C, H., P, G., R, K., G, N., B, L., W, K., R, T., T, H., & A, J. (2025). Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns.. NeuroImage. https://doi.org/10.1016/j.neuroimage.2025.121568

Source records