Advanced Imaging, Volume. 2, Issue 4, 041003(2025)
Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging toward digital pathology
[45] H. Xiao et al. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms(2017).
[46] O. Ronneberger et al. U-Net: convolutional networks for biomedical image segmentation, 234(2015).
[47] Y. Song, S. Ermon. Generative modeling by estimating gradients of the data distribution(2019).
[48] J. Ho et al. Denoising diffusion probabilistic models, 6840(2020).
[49] R. Rombach et al. High-resolution image synthesis with latent diffusion models, 10684(2022).
[52] K. Kreis et al. Latent space diffusion models of cryo-em structures(2022).
[53] D. J. E. Waibel et al. A diffusion model predicts 3d shapes from 2D microscopy images, 1(2023).
[58] J. Deng et al. ImageNet: a large-scale hierarchical image database, 248(2009).
[60] R. Durall, M. Keuper, J. Keuper. Watch your up-convolution: CNN based generative deep neural networks are failing to reproduce spectral distributions, 7890(2020).
[61] A. Kirillov et al. Segment anything, 4015(2023).
[62] L. Zhang et al. Adding conditional control to text-to-image diffusion models, 3836(2023).
[65] D. P. Kingma, J. Ba. Adam: a method for stochastic optimization(2014).
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Zhaoqing Chen, Jiawei Sun, Xibin Yang, Xinyi Ye, Bin Zhao, Xuelong Li, Juergen W. Czarske, "Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging toward digital pathology," Adv. Imaging 2, 041003 (2025)
Category: Research Article
Received: May. 13, 2025
Accepted: Jun. 30, 2025
Published Online: Jul. 31, 2025
The Author Email: Jiawei Sun (sunjiawei@sibet.ac.cn)