Learning to Synthesize: Robust Phase Retrieval at Low Photon counts

Learning to Synthesize: Robust Phase Retrieval at Low Photon counts

26 July 2019

George Barbastathis

Papers citing "Learning to Synthesize: Robust Phase Retrieval at Low Photon counts"

19 / 19 papers shown

Title
Nonlinear functional regression by functional deep neural network with kernel embedding Zhongjie Shi Jun Fan Linhao Song Ding-Xuan Zhou Johan A. K. Suykens 457 5 0 05 Jan 2024
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery Mo Deng Shuai Li George Barbastathis SupR 94 18 0 19 Nov 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review YoungJu Jo Hyungjoon Cho Sang Yun Lee Gunho Choi Geon Kim Hyun-Seok Min Yongkeun Park 62 155 0 06 Jun 2018
Learning Dual Convolutional Neural Networks for Low-Level Vision Jin-shan Pan Sifei Liu Deqing Sun Jiawei Zhang Yang Liu ... Zechao Li Jinhui Tang Huchuan Lu Yu-Wing Tai Ming-Hsuan Yang SupR 58 189 0 14 May 2018
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery Yichen Wu Y. Rivenson Yibo Zhang Zhensong Wei H. Gunaydin Xing Lin Aydogan Ozcan 42 171 0 21 Mar 2018
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery Morteza Mardani Hatef Monajemi Vardan Papyan S. Vasanawala D. Donoho John M. Pauly GAN SupR 63 54 0 27 Nov 2017
A Review of Convolutional Neural Networks for Inverse Problems in Imaging Michael T. McCann Kyong Hwan Jin M. Unser 3DV 61 593 0 11 Oct 2017
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT Yoseob Han J. C. Ye 62 519 0 28 Aug 2017
Phase recovery and holographic image reconstruction using deep learning in neural networks Y. Rivenson Yibo Zhang H. Gunaydin Da Teng Aydogan Ozcan 43 822 0 10 May 2017
Lensless computational imaging through deep learning Ayan Sinha Justin Lee Shuai Li George Barbastathis 60 520 0 22 Feb 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 68 2,118 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 71 798 0 09 Nov 2016
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 242 10,686 0 15 Sep 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 232 10,247 0 27 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 148 8,075 0 31 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 137 2,193 0 10 Jun 2014

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