This is the official version of paper "UPAMNet: A Unified Network with Deep Knowledge Priors for Photoacoustic Microscopy"
Due to data licence, related datasets can be downloaded from the following three papers:
- Photoacoustic microscopy with sparse data by convolutional neural networks
- Reconstructing undersampled photoacoustic microscopy images using deep learning
- De-noising of photoacoustic microscopy images by attentive generative adversarial network
Please cite our work if you find this work useful for your research.
@article{LIU2024100608,
title = {UPAMNet: A unified network with deep knowledge priors for photoacoustic microscopy},
journal = {Photoacoustics},
volume = {38},
pages = {100608},
year = {2024},
issn = {2213-5979},
author = {Yuxuan Liu and Jiasheng Zhou and Yating Luo and Jinkai Li and Sung-Liang Chen and Yao Guo and Guang-Zhong Yang},
}