Semi-automatic segmentation of the fetal brain from magnetic resonance imaging.

Wang J, Nichols ES, Mueller ME, de Vrijer B, Eagleson R, McKenzie CA, de Ribaupierre S, Duerden EG

Open source

DOI
10.3389/fnins.2022.1027084
Published
2022
Container
Frontiers in neuroscience
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:10.3389/fnins.2022.1027084,
  title = {Semi-automatic segmentation of the fetal brain from magnetic resonance imaging.},
  author = {Wang J and Nichols ES and Mueller ME and de Vrijer B and Eagleson R and McKenzie CA and de Ribaupierre S and Duerden EG},
  year = {2022},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2022.1027084},
  url = {https://doi.org/10.3389/fnins.2022.1027084}
}

RIS

TY  - JOUR
TI  - Semi-automatic segmentation of the fetal brain from magnetic resonance imaging.
AU  - Wang J
AU  - Nichols ES
AU  - Mueller ME
AU  - de Vrijer B
AU  - Eagleson R
AU  - McKenzie CA
AU  - de Ribaupierre S
AU  - Duerden EG
PY  - 2022
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2022.1027084
UR  - https://doi.org/10.3389/fnins.2022.1027084
ER  - 

APA

J, W., ES, N., ME, M., B, D. V., R, E., CA, M., S, D. R., & EG, D. (2022). Semi-automatic segmentation of the fetal brain from magnetic resonance imaging.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2022.1027084

Source records