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

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"

9 / 9 papers shown

Title
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning Henry Chan Y. Nashed S. Kandel S. Hruszkewycz S. Sankaranarayanan R. Harder Mathew J. Cherukara 29 35 0 16 Jun 2020
$Real-time coherent diffraction inversion using deep generative networks$ Real-time coherent diffraction inversion using deep generative networks Mathew J. Cherukara Y. Nashed R. Harder DiffM 37 94 0 07 Jun 2018
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 62 1,591 0 12 Mar 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 116 5,871 0 10 Jul 2017
Phase recovery and holographic image reconstruction using deep learning in neural networks Y. Rivenson Yibo Zhang H. Gunaydin Da Teng Aydogan Ozcan 21 819 0 10 May 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 65 1,525 0 28 Apr 2017
Lensless computational imaging through deep learning Ayan Sinha Justin Lee Shuai Li George Barbastathis 18 520 0 22 Feb 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 210 10,646 0 15 Sep 2016
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 86 8,048 0 31 Dec 2014

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