Bacteria tracking and life cycle state classification using graph neural networks and pretrained vision transformers.

Kunzmann M, Elizondo-Cantú MC, Bischofs IB, Rohr K

Open source

DOI
10.1016/j.media.2026.104275
Published
2026 Nov
Container
Medical image analysis
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.media.2026.104275,
  title = {Bacteria tracking and life cycle state classification using graph neural networks and pretrained vision transformers.},
  author = {Kunzmann M and Elizondo-Cantú MC and Bischofs IB and Rohr K},
  year = {2026},
  journal = {Medical image analysis},
  doi = {10.1016/j.media.2026.104275},
  url = {https://doi.org/10.1016/j.media.2026.104275}
}

RIS

TY  - JOUR
TI  - Bacteria tracking and life cycle state classification using graph neural networks and pretrained vision transformers.
AU  - Kunzmann M
AU  - Elizondo-Cantú MC
AU  - Bischofs IB
AU  - Rohr K
PY  - 2026
JO  - Medical image analysis
DO  - 10.1016/j.media.2026.104275
UR  - https://doi.org/10.1016/j.media.2026.104275
ER  - 

APA

M, K., MC, E., IB, B., & K, R. (2026). Bacteria tracking and life cycle state classification using graph neural networks and pretrained vision transformers.. Medical image analysis. https://doi.org/10.1016/j.media.2026.104275

Source records