Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.

Mello VBB, McKinley R, Wiest R, Rummel C

Open source

DOI
10.1038/s41598-026-55397-w
Published
2026 Jun 12
Container
Scientific reports
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:10.1038/s41598-026-55397-w,
  title = {Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.},
  author = {Mello VBB and McKinley R and Wiest R and Rummel C},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-55397-w},
  url = {https://doi.org/10.1038/s41598-026-55397-w}
}

RIS

TY  - JOUR
TI  - Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.
AU  - Mello VBB
AU  - McKinley R
AU  - Wiest R
AU  - Rummel C
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-55397-w
UR  - https://doi.org/10.1038/s41598-026-55397-w
ER  - 

APA

VBB, M., R, M., R, W., & C, R. (2026). Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.. Scientific reports. https://doi.org/10.1038/s41598-026-55397-w

Source records