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Diffractive all-optical computing for quantitative phase imaging

Diffractive all-optical computing for quantitative phase imaging

22 January 2022
Deniz Mengu
A. Ozcan
ArXivPDFHTML

Papers citing "Diffractive all-optical computing for quantitative phase imaging"

13 / 13 papers shown
Title
SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training
SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training
Pingchuan Ma
Ziang Yin
Qi Jing
Zhengqi Gao
Nicholas Gangi
...
Tsung-Wei Huang
Z. Huang
Duane S. Boning
Yu Yao
Jiaqi Gu
AI4CE
54
0
0
23 May 2025
All-Optical Synthesis of an Arbitrary Linear Transformation Using
  Diffractive Surfaces
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces
Onur Kulce
Deniz Mengu
Y. Rivenson
Aydogan Ozcan
48
87
0
22 Aug 2021
All-Optical Information Processing Capacity of Diffractive Surfaces
All-Optical Information Processing Capacity of Diffractive Surfaces
Onur Kulce
Deniz Mengu
Y. Rivenson
Aydogan Ozcan
42
112
0
25 Jul 2020
Misalignment Resilient Diffractive Optical Networks
Misalignment Resilient Diffractive Optical Networks
Deniz Mengu
Yifan Zhao
N. Yardimci
Y. Rivenson
Mona Jarrahi
Aydogan Ozcan
80
101
0
23 May 2020
Design of Task-Specific Optical Systems Using Broadband Diffractive
  Neural Networks
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks
Yilin Luo
Deniz Mengu
N. Yardimci
Y. Rivenson
Muhammed Veli
Mona Jarrahi
Aydogan Ozcan
85
209
0
14 Sep 2019
Deep learning-based super-resolution in coherent imaging systems
Deep learning-based super-resolution in coherent imaging systems
Tairan Liu
Kevin de Haan
Y. Rivenson
Zhensong Wei
Xin Zeng
Yibo Zhang
Aydogan Ozcan
SupR
45
127
0
15 Oct 2018
Analysis of Diffractive Optical Neural Networks and Their Integration
  with Electronic Neural Networks
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Deniz Mengu
Yilin Luo
Y. Rivenson
Aydogan Ozcan
79
149
0
03 Oct 2018
All-Optical Machine Learning Using Diffractive Deep Neural Networks
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin
Y. Rivenson
N. Yardimci
Muhammed Veli
Mona Jarrahi
Aydogan Ozcan
90
1,658
0
14 Apr 2018
Solving Fourier ptychographic imaging problems via neural network
  modeling and TensorFlow
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow
Shaowei Jiang
K. Guo
Jun Liao
G. Zheng
35
95
0
09 Mar 2018
Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis
Mina Rezaei
Haojin Yang
Christoph Meinel
73
2,057
0
17 Aug 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
129
644
0
27 Jul 2017
Phase recovery and holographic image reconstruction using deep learning
  in neural networks
Phase recovery and holographic image reconstruction using deep learning in neural networks
Y. Rivenson
Yibo Zhang
H. Gunaydin
Da Teng
Aydogan Ozcan
43
820
0
10 May 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
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