$AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging$

AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging

28 September 2021

S. Sankaranarayanan

Prasanna Balaprakash

Mathew J. Cherukara

Papers citing "AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging"

12 / 12 papers shown

Title
$Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers$ Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers Sung Yun Lee Do Hyung Cho Chulho Jung Daeho Sung Daewoong Nam Sangsoo Kim Changyong Song 21 0 0 24 Sep 2024
Predicting ptychography probe positions using single-shot phase retrieval neural network Ming Du Tao Zhou Junjing Deng Daniel J. Ching S. Henke Mathew J. Cherukara 30 1 0 31 May 2024
Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning Zhantao Chen Cong Wang Mingye Gao Chun Hong Yoon Jana Thayer Joshua J. Turner 27 0 0 28 Nov 2023
Coordinate-based Neural Network for Fourier Phase Retrieval Tingyou Li Zixin Xu Yong S. Chu Xiaojing Huang Jizhou Li 24 0 0 25 Nov 2023
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 24 5 0 09 Nov 2023
On the use of deep learning for phase recovery Kaiqiang Wang Li Song Chutian Wang Zhenbo Ren Guangyuan Zhao ... Jianglei Di George Barbastathis Renjie Zhou Jianlin Zhao E. Lam 13 72 0 02 Aug 2023
$Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction$ Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction O. Hoidn A. Mishra Apurva Mehta 21 6 0 19 Jun 2023
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources A. Babu Tekin Bicer S. Kandel Tao Zhou Daniel J. Ching S. Henke Sinivsa Veseli Ryan Chard Antonino Miceli Mathew J. Cherukara 11 6 0 09 Apr 2023
Practical Phase Retrieval Using Double Deep Image Priors Zhong Zhuang David Yang F. Hofmann David A. Barmherzig Ju Sun 33 13 0 02 Nov 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates Baixi Sun Xiaodong Yu Chengming Zhang Jiannan Tian Sian Jin K. Iskra Tao Zhou Tekin Bicer Pete Beckman Dingwen Tao 11 1 0 01 Nov 2022
Deep learning at the edge enables real-time streaming ptychographic imaging A. Babu Tao Zhou S. Kandel Tekin Bicer Zhengchun Liu ... Geetika Gupta M. Holt Ian T. Foster Antonino Miceli Mathew J. Cherukara 11 26 0 20 Sep 2022
Self-supervised learning of hologram reconstruction using physics consistency Luzhe Huang Hanlong Chen Tairan Liu Aydogan Ozcan DiffM SSL 23 41 0 17 Sep 2022