Luzhe Huang

According to our database, Luzhe Huang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data.

Michael John Fanous, Paloma Casteleiro Costa, Çagatay Isil, Luzhe Huang, Aydogan Ozcan

CoRR, 2024

2023

Self-supervised learning of hologram reconstruction using physics consistency.

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

Nat. Mac. Intell., August, 2023

Virtual histological staining of unlabeled autopsy tissue.

Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Sepehr Hamidi, Anatoly Urisman, Tal Keidar Haran, William Dean Wallace, Jonathan E. Zuckerman, Aydogan Ozcan

CoRR, 2023

Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems.

Luzhe Huang, Jianing Li, Xiaofu Ding, Yijie Zhang, Hanlong Chen, Aydogan Ozcan

CoRR, 2023

eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging.

Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan

CoRR, 2023

2022

GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency.

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

CoRR, 2022

Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks.

Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

CoRR, 2022

Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization.

Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan

CoRR, 2022

Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network.

Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan

CoRR, 2022

2021

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks.

Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan

CoRR, 2021

2020

Deep learning-based virtual refocusing of images using an engineered point-spread function.

Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Recurrent neural network-based volumetric fluorescence microscopy.

Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Single-shot autofocusing of microscopy images using deep learning.

Yilin Luo, Luzhe Huang, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

2019

SNR-Adaptive OCT Angiography Enabled by Statistical Characterization of Intensity and Decorrelation With Multi-Variate Time Series Model.

Luzhe Huang, Yiming Fu, Ruixiang Chen, Shanshan Yang, Haixia Qiu, Xining Wu, Shiyong Zhao, Ying Gu, Peng Li

IEEE Trans. Medical Imaging, 2019