EPRA U-Net: an efficient pyramid residual attention framework for accurate infarct segmentation in diffusion-weighted MRI.
- DOI
- 10.1186/s12880-026-02569-9
- Published
- 2026 Jul 24
- Container
- BMC medical imaging
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12880-026-02569-9,
title = {EPRA U-Net: an efficient pyramid residual attention framework for accurate infarct segmentation in diffusion-weighted MRI.},
author = {Ulutas H and Sahin ME and Erkoc MF and Yuce E and Tuncer T and Dogan S and Kiranyaz S},
year = {2026},
journal = {BMC medical imaging},
doi = {10.1186/s12880-026-02569-9},
url = {https://doi.org/10.1186/s12880-026-02569-9}
}RIS
TY - JOUR TI - EPRA U-Net: an efficient pyramid residual attention framework for accurate infarct segmentation in diffusion-weighted MRI. AU - Ulutas H AU - Sahin ME AU - Erkoc MF AU - Yuce E AU - Tuncer T AU - Dogan S AU - Kiranyaz S PY - 2026 JO - BMC medical imaging DO - 10.1186/s12880-026-02569-9 UR - https://doi.org/10.1186/s12880-026-02569-9 ER -
APA
H, U., ME, S., MF, E., E, Y., T, T., S, D., & S, K. (2026). EPRA U-Net: an efficient pyramid residual attention framework for accurate infarct segmentation in diffusion-weighted MRI.. BMC medical imaging. https://doi.org/10.1186/s12880-026-02569-9
Source records
- pubmed · retrieved 2026-11-10T20:10:48.736Z