$Real-time coherent diffraction inversion using deep generative networks$

Real-time coherent diffraction inversion using deep generative networks

7 June 2018

Mathew J. Cherukara

Papers citing "Real-time coherent diffraction inversion using deep generative networks"

7 / 7 papers shown

Title
Neural Network Methods for Radiation Detectors and Imaging S. Lin S. Ning H. Zhu T. Zhou C. L. Morris S. Clayton M. Cherukara R. T. Chen Z. Wang AI4CE 32 5 0 09 Nov 2023
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions Rucha Deshpande A. Avachat F. Brooks M. Anastasio 17 5 0 02 Nov 2022
Practical Phase Retrieval Using Double Deep Image Priors Zhong Zhuang David Yang F. Hofmann David A. Barmherzig Ju Sun 38 13 0 02 Nov 2022
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows Maksim Zhdanov L. Randolph T. Kluge M. Nakatsutsumi C. Gutt M. Ganeva Nico Hoffmann 34 0 0 04 Oct 2022
$AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging$ AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging Yudong Yao Henry Chan S. Sankaranarayanan Prasanna Balaprakash R. Harder Mathew J. Cherukara 25 46 0 28 Sep 2021
Exascale Deep Learning for Scientific Inverse Problems N. Laanait Josh Romero Junqi Yin M. T. Young Sean Treichler V. Starchenko A. Borisevich Alexander Sergeev Michael A. Matheson FedML BDL 35 29 0 24 Sep 2019
Deep Hybrid Scattering Image Learning Mu Yang Zhenghao Liu Ze-Di Cheng Jin-Shi Xu Chuan‐Feng Li G. Guo 13 29 0 19 Sep 2018