Published in Optics Express, 2024
This paper is in peer review on May 25th, 2024.
Recommended citation: updated after the manuscript accepted.
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Published in Photonics, 2024
An image reconstruction method is proposed that combines physical constraint characteristics of the imaging object with a score-based diffusion model, aiming to enhance the imaging accuracy of digital holography technology with extremely sparse sensor arrays.
Recommended citation: Zhang L, Gao S, Tong M, Huang Y, Zhang Z, Wan W, Liu Q. HoloDiffusion: Sparse Digital Holographic Reconstruction via Diffusion Modeling. Photonics. 2024, 11(4):388. https://doi.org/10.3390/photonics11040388
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Published in Applied Physics Letters, 2024
An approach is proposed for achieving high-quality reconstructed target images through scattering media using a diffusion generative model.
Recommended citation: Chen ZY, Lin BY, Gao SY, Wan WB, Liu QG. Imaging through scattering media via generative diffusion model.Appl. Phys. Lett., 2024, 124: 051101.
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Published in Frontiers in Neuroscience, 2023
In this paper, An attention-aware retinal atrophy segmentation network (ARA-Net) is proposed to segment retinal atrophy areas from the 2D fundus image.
Recommended citation: Chen L, Zhou YY, Gao SY, Li MY, Tan H, Wan ZJ. ARA-net: an attention-aware retinal atrophy segmentation network coping with fundus images. Frontiers in Neuroscience, 2023, 17: 1174937.
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