28 citations · 51 across the 3 of their papers we have counts for
3 papers
eess.IV2024
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
Luzhe Huang, Xiongye Xiao, Shixuan Li +4
The advance of diffusion-based generative models in recent years has revolutionized state-of-the-art (SOTA) techniques in a wide variety of image analysis and synthesis tasks, wher…
physics.optics2023★ 23 cited
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging
Hanlong Chen, Luzhe Huang, Tairan Liu +1
The application of deep learning techniques has greatly enhanced holographic imaging capabilities, leading to improved phase recovery and image reconstruction. Here, we introduce a…
eess.IV2022★ 28 cited
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Yijie Zhang, Luzhe Huang, Tairan Liu +5
Deep learning-based virtual staining was developed to introduce image contrast to label-free tissue sections, digitally matching the histological staining, which is time-consuming,…