Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging

10 August 2018

Papers citing "Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging"

7 / 7 papers shown

Title
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding E. Yosef Shay Elmalem Raja Giryes 27 5 0 28 Dec 2021
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 13 24 0 29 Jul 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 519 0 12 May 2020
On the interplay between physical and content priors in deep learning for computational imaging Mo Deng Shuai Li Iksung Kang N. Fang George Barbastathis 31 26 0 14 Apr 2020
Physics-enhanced machine learning for virtual fluorescence microscopy Colin L. Cooke Fanjie Kong A. Chaware Kevin C Zhou Kanghyun Kim Rong Xu D. Ando Samuel J. Yang P. C. Konda R. Horstmeyer AI4CE 30 17 0 09 Apr 2020
INTEL-TAU: A Color Constancy Dataset Firas Laakom Jenni Raitoharju Alexandros Iosifidis Jarno Nikkanen M. Gabbouj 12 38 0 23 Oct 2019
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy Yongbing Zhang Yangzhe Liu Xiu Li Shaowei Jiang Krishna Dixit Xinfeng Zhang Xiangyang Ji 18 13 0 19 Sep 2019