FHRFormer: a self-supervised masked transformer framework for fetal heart rate time-series inpainting and forecasting.
- DOI
- 10.3389/fdgth.2026.1900897
- Published
- 2026
- Container
- Frontiers in digital health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.3389/fdgth.2026.1900897,
title = {FHRFormer: a self-supervised masked transformer framework for fetal heart rate time-series inpainting and forecasting.},
author = {Engan K and Kanwal N and Bukhay AY and Blacy L and Munyaw Y and Mduma E and Ersdal HL},
year = {2026},
journal = {Frontiers in digital health},
doi = {10.3389/fdgth.2026.1900897},
url = {https://doi.org/10.3389/fdgth.2026.1900897}
}RIS
TY - JOUR TI - FHRFormer: a self-supervised masked transformer framework for fetal heart rate time-series inpainting and forecasting. AU - Engan K AU - Kanwal N AU - Bukhay AY AU - Blacy L AU - Munyaw Y AU - Mduma E AU - Ersdal HL PY - 2026 JO - Frontiers in digital health DO - 10.3389/fdgth.2026.1900897 UR - https://doi.org/10.3389/fdgth.2026.1900897 ER -
APA
K, E., N, K., AY, B., L, B., Y, M., E, M., & HL, E. (2026). FHRFormer: a self-supervised masked transformer framework for fetal heart rate time-series inpainting and forecasting.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1900897