Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images.
- DOI
- 10.1117/1.jbo.31.8.086002
- Published
- 2026 Aug
- Container
- Journal of biomedical optics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1117/1.jbo.31.8.086002,
title = {Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images.},
author = {Vale W and Bamber J and Koruk H and Carneiro G and Florescu L},
year = {2026},
journal = {Journal of biomedical optics},
doi = {10.1117/1.jbo.31.8.086002},
url = {https://doi.org/10.1117/1.jbo.31.8.086002}
}RIS
TY - JOUR TI - Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images. AU - Vale W AU - Bamber J AU - Koruk H AU - Carneiro G AU - Florescu L PY - 2026 JO - Journal of biomedical optics DO - 10.1117/1.jbo.31.8.086002 UR - https://doi.org/10.1117/1.jbo.31.8.086002 ER -
APA
W, V., J, B., H, K., G, C., & L, F. (2026). Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images.. Journal of biomedical optics. https://doi.org/10.1117/1.jbo.31.8.086002
Source records
- pubmed · retrieved 2026-09-25T07:52:36.198Z