FBS-DiffNet: a deep unfolding network with diffusion prior for joint reconstruction of optical absorption and…

Untrained CNN and coefficient-space regularization for joint reconstruction in photoacoustic tomography
Alfio Bozi, Anwesa Dey, Souvik Roy
arXiv16 Oct 2026PreprintCC BY 4.0Full textOptimisation & controlarXiv
Dynamic quantitative photoacoustic tomography under sparse sampling via residual-driven Kalman filter assisted reconstruction.
Ye Wu, Wenxing Bai, Pengfei Zhang +3
Photoacoustics3 Oct 2026Peer-reviewedCC BYFull textEurope PMC
Benchmarking deep learning-based reconstruction methods for photoacoustic computed tomography with clinically relevant synthetic datasets.
Panpan Chen, Seonyeong Park, Gangwon Jeong +3
Journal of biomedical optics14 Oct 2026Peer-reviewedCC BYFull textEurope PMC
Integrating visual state space models with frequency selection for artifact reduction in photoacoustic tomography
Xiaoli Yang, Jinzhuang Xu, Xiaoxue Wang +5
Photoacoustics26 Sep 2026Peer-reviewedCC BY-NC-NDFull textEurope PMC
LDUnet: a lightweight deep unfolding framework for video snapshot compressive imaging reconstruction
Wenyi Hu, Keyan Dong, Chao Wang +3
Scientific Reports4 Nov 2026Peer-reviewedCC BY 4.0Crossref

Cite

BibTeX

@article{anon2026fbsdiffnet,
  title = {{FBS-DiffNet: a deep unfolding network with diffusion prior for joint reconstruction of optical absorption and sound speed in photoacoustic tomography}},
  journal = {Biomedical optics express},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13671699},
}

RIS

TY  - JOUR
TI  - FBS-DiffNet: a deep unfolding network with diffusion prior for joint reconstruction of optical absorption and sound speed in photoacoustic tomography
PY  - 2026
DA  - 2026/09/04
JO  - Biomedical optics express
UR  - https://europepmc.org/article/PMC/PMC13671699
SN  - 2156-7085
ER  -

Related

Cite