LSMS-Net: Resolving multiple scattering via physics-constrained deep learning for photoacoustic imaging in porous media.
- DOI
- 10.1016/j.ultras.2026.108241
- Published
- 2026 Dec
- Container
- Ultrasonics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultras.2026.108241,
title = {LSMS-Net: Resolving multiple scattering via physics-constrained deep learning for photoacoustic imaging in porous media.},
author = {Xu W and Bi R and Xie W and Jin L and Olivo M and Huang S and Gao Y and Cheng Q},
year = {2026},
journal = {Ultrasonics},
doi = {10.1016/j.ultras.2026.108241},
url = {https://doi.org/10.1016/j.ultras.2026.108241}
}RIS
TY - JOUR TI - LSMS-Net: Resolving multiple scattering via physics-constrained deep learning for photoacoustic imaging in porous media. AU - Xu W AU - Bi R AU - Xie W AU - Jin L AU - Olivo M AU - Huang S AU - Gao Y AU - Cheng Q PY - 2026 JO - Ultrasonics DO - 10.1016/j.ultras.2026.108241 UR - https://doi.org/10.1016/j.ultras.2026.108241 ER -
APA
W, X., R, B., W, X., L, J., M, O., S, H., Y, G., & Q, C. (2026). LSMS-Net: Resolving multiple scattering via physics-constrained deep learning for photoacoustic imaging in porous media.. Ultrasonics. https://doi.org/10.1016/j.ultras.2026.108241
Source records
- pubmed · retrieved 2026-09-26T06:16:31.867Z