POCUS-Net: Beamforming Inclusive Image Translation Approach for High-Quality Pediatric Bone Visualization in Point-of-Care Ultrasound
- DOI
- 10.1109/tuson.2026.3681226
- Published
- 2026-05
- Container
- IEEE Transactions on Ultrasonics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tuson.2026.3681226,
title = {POCUS-Net: Beamforming Inclusive Image Translation Approach for High-Quality Pediatric Bone Visualization in Point-of-Care Ultrasound},
author = {Midhila Madhusoodanan and Mahesh Raveendranatha Panicker and Abhilash Rakkunedeth Hareendranathan},
year = {2026},
journal = {IEEE Transactions on Ultrasonics},
doi = {10.1109/tuson.2026.3681226},
url = {https://doi.org/10.1109/tuson.2026.3681226}
}RIS
TY - JOUR TI - POCUS-Net: Beamforming Inclusive Image Translation Approach for High-Quality Pediatric Bone Visualization in Point-of-Care Ultrasound AU - Midhila Madhusoodanan AU - Mahesh Raveendranatha Panicker AU - Abhilash Rakkunedeth Hareendranathan PY - 2026 JO - IEEE Transactions on Ultrasonics DO - 10.1109/tuson.2026.3681226 UR - https://doi.org/10.1109/tuson.2026.3681226 ER -
APA
Madhusoodanan, M., Panicker, M. R., & Hareendranathan, A. R. (2026). POCUS-Net: Beamforming Inclusive Image Translation Approach for High-Quality Pediatric Bone Visualization in Point-of-Care Ultrasound. IEEE Transactions on Ultrasonics. https://doi.org/10.1109/tuson.2026.3681226
Source records
- crossref · retrieved 2026-09-25T07:02:06.376Z