A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging
- DOI
- 10.1109/tuffc.2025.3560872
- Published
- 2025-06
- Container
- IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tuffc.2025.3560872,
title = {A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging},
author = {Mohamed Tamraoui and Hervé Liebgott and Emmanuel Roux},
year = {2025},
journal = {IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
doi = {10.1109/tuffc.2025.3560872},
url = {https://doi.org/10.1109/tuffc.2025.3560872}
}RIS
TY - JOUR TI - A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging AU - Mohamed Tamraoui AU - Hervé Liebgott AU - Emmanuel Roux PY - 2025 JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control DO - 10.1109/tuffc.2025.3560872 UR - https://doi.org/10.1109/tuffc.2025.3560872 ER -
APA
Tamraoui, M., Liebgott, H., & Roux, E. (2025). A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. https://doi.org/10.1109/tuffc.2025.3560872
Source records
- crossref · retrieved 2026-09-25T08:09:45.346Z