Luzhe Huang - RankMe

22 papers Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Snapshot multi-spectral imaging through defocusing and a Fourier imager network. CoRR Xilin Yang, Michael John Fanous, Hanlong Chen, Ryan Lee, Paloma Casteleiro Costa, Yuhang Li, Luzhe Huang, Yijie Zhang, Aydogan Ozcan
2024	J	`jnl`	Autonomous Quality and Hallucination Assessment for Virtual Tissue Staining and Digital Pathology. CoRR Luzhe Huang, Yuzhu Li, Nir Pillar, Tal Keidar Haran, William Dean Wallace, Aydogan Ozcan
2024	—	`—`	Computational Microscopy with Generalizable and Reliable Artificial Intelligence Luzhe Huang
2024	J	`jnl`	Multi-scale Conditional Generative Modeling for Microscopic Image Restoration. CoRR Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan
2024	J	`jnl`	Multi-scale Generative Modeling for Fast Sampling. CoRR Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan
2024	J	`jnl`	Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data. CoRR Michael John Fanous, Paloma Casteleiro Costa, Çagatay Isil, Luzhe Huang, Aydogan Ozcan
2024	J	`jnl`	Super-resolved virtual staining of label-free tissue using diffusion models. CoRR Yijie Zhang, Luzhe Huang, Nir Pillar, Yuzhu Li, Hanlong Chen, Aydogan Ozcan
2024	J	`jnl`	Unidirectional imaging with partially coherent light. CoRR Guangdong Ma, Che-Yung Shen, Jingxi Li, Luzhe Huang, Çagatay Isil, F. Onuralp Ardic, Xilin Yang, Yuhang Li, Yuntian Wang, Md Sadman Sakib Rahman, Aydogan Ozcan
2024	J	`jnl`	Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry. CoRR Yijie Zhang, Luzhe Huang, Nir Pillar, Yuzhu Li, Lukasz G. Migas, Raf Van de Plas, Jeffrey M. Spraggins, Aydogan Ozcan
2023	J	`jnl`	Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems. CoRR Luzhe Huang, Jianing Li, Xiaofu Ding, Yijie Zhang, Hanlong Chen, Aydogan Ozcan
2023	J	`jnl`	Self-supervised learning of hologram reconstruction using physics consistency. Nat. Mac. Intell. Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan
2023	J	`jnl`	Virtual histological staining of unlabeled autopsy tissue. CoRR 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
2023	J	`jnl`	eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging. CoRR Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan
2022	J	`jnl`	Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network. CoRR Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan
2022	J	`jnl`	Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization. CoRR Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan
2022	J	`jnl`	GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency. CoRR Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan
2022	J	`jnl`	Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks. CoRR Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan
2021	J	`jnl`	Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks. CoRR Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan
2020	J	`jnl`	Deep learning-based virtual refocusing of images using an engineered point-spread function. CoRR Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan
2020	J	`jnl`	Recurrent neural network-based volumetric fluorescence microscopy. CoRR Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan
2020	J	`jnl`	Single-shot autofocusing of microscopy images using deep learning. CoRR Yilin Luo, Luzhe Huang, Yair Rivenson, Aydogan Ozcan
2019	J	`jnl`	SNR-Adaptive OCT Angiography Enabled by Statistical Characterization of Intensity and Decorrelation With Multi-Variate Time Series Model. IEEE Trans. Medical Imaging Luzhe Huang, Yiming Fu, Ruixiang Chen, Shanshan Yang, Haixia Qiu, Xining Wu, Shiyong Zhao, Ying Gu, Peng Li