On the use of deep learning for phase recovery

2 August 2023

Papers citing "On the use of deep learning for phase recovery"

5 / 5 papers shown

Title
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework Ankit Amrutkar Björn Kampa Volkmar Schulz Johannes Stegmaier Markus Rothermel Dorit Merhof 18 0 0 30 Apr 2025
$Diffractive all-optical computing for quantitative phase imaging$ Diffractive all-optical computing for quantitative phase imaging Deniz Mengu A. Ozcan 34 66 0 22 Jan 2022
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 125 1,450 0 04 Feb 2021
Inverse Problems, Deep Learning, and Symmetry Breaking Kshitij Tayal Chieh-Hsin Lai Vipin Kumar Ju Sun AI4CE 72 15 0 20 Mar 2020
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 76 1,628 0 14 Apr 2018