354 citations · 2.8k across the 40 of their papers we have counts for
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Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Luzhe Huang, Jianing Li, Xiaofu Ding +3
Uncertainty estimation is critical for numerous applications of deep neural networks and draws growing attention from researchers. Here, we demonstrate an uncertainty quantificatio…
Self-supervised learning of hologram reconstruction using physics consistency
Luzhe Huang, Hanlong Chen, Tairan Liu +1
The past decade has witnessed transformative applications of deep learning in various computational imaging, sensing and microscopy tasks. Due to the supervised learning schemes em…
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Hanlong Chen, Luzhe Huang, Tairan Liu +1
Deep learning-based image reconstruction methods have achieved remarkable success in phase recovery and holographic imaging. However, the generalization of their image reconstructi…
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Yichen Wu, Yair Rivenson, Hongda Wang +5
Three-dimensional (3D) fluorescence microscopy in general requires axial scanning to capture images of a sample at different planes. Here we demonstrate that a deep convolutional n…