most citedReliable deep-learning-based phase imaging with uncertainty quantification

206 citations · 206 across the 1 of their papers we have counts for

collaborators

2 papers

physics.optics2020

Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network

Yuzhe Li, Shiyi Cheng, Yujia Xue +1

Coherent imaging through scatter is a challenging task in computational imaging. Both model-based and data-driven approaches have been explored to solve the inverse scattering prob…

eess.IV2019★ 206 cited

Reliable deep-learning-based phase imaging with uncertainty quantification

Yujia Xue, Shiyi Cheng, Yunzhe Li +1

Emerging deep-learning (DL)-based techniques have significant potential to revolutionize biomedical imaging. However, one outstanding challenge is the lack of reliability assessmen…