@inproceedings{d370cf9a86f647d694d9287b0c911897,
title = "Phase Recovery and Holographic Imaging using Recurrent Neural Networks (RNNs)",
abstract = "We demonstrate a recurrent neural network (RNN) enabled holographic imaging method that simultaneously performs autofocusing and phase recovery, achieving faster reconstruction speed and extended depth-of-field.",
author = "Luzhe Huang and Tairan Liu and Xilin Yang and Yi Luo and Yair Rivenson and Aydogan Ozcan",
note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); 2022 Conference on Lasers and Electro-Optics, CLEO 2022 ; Conference date: 15-05-2022 Through 20-05-2022",
year = "2022",
month = jan,
day = "1",
language = "English",
series = "2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings",
address = "United States",
}