393 citations · 1.4k across the 36 of their papers we have counts for
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High-Resolution Limited-Angle Phase Tomography of Dense Layered Objects Using Deep Neural Networks
Alexandre Goy, Girish Rughoobur, Shuai Li +3
We present a Machine Learning-based method for tomographic reconstruction of dense layered objects, with range of projection angles limited to 10. Whereas previous ap…
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
Mo Deng, Shuai Li, George Barbastathis
Deep Neural Network (DNN)-based image reconstruction, despite many successes, often exhibits uneven fidelity between high and low spatial frequency bands. In this paper we propose…
Spectral pre-modulation of training examples enhances the spatial resolution of the Phase Extraction Neural Network (PhENN)
Shuai Li, George Barbastathis
The Phase Extraction Neural Network (PhENN) is a computational architecture, based on deep machine learning, for lens-less quantitative phase retrieval from raw intensity data. PhE…
Low Photon Count Phase Retrieval Using Deep Learning
Alexandre Goy, Kwabena Arthur, Shuai Li +1
Imaging systems' performance at low light intensity is affected by shot noise, which becomes increasingly strong as the power of the light source decreases. In this paper we experi…