Tairan Liu

According to our database, Tairan Liu authored at least 31 papers between 2017 and 2024.

Collaborative distances:

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

2024

Label-free evaluation of lung and heart transplant biopsies using virtual staining.

Yuzhu Li, Nir Pillar, Tairan Liu, Guangdong Ma, Yuxuan Qi, Kevin de Haan, Yijie Zhang, Xilin Yang, Adrian J. Correa, Guangqian Xiao, Kuang-Yu Jen, Kenneth A. Iczkowski, Yulun Wu, William Dean Wallace, 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

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

Formal Modeling and Verification of Industrial Robotic Arm - A Case Study.

Ilmaan Zia, Muhammad Abdul Basit Ur Rahim, Tairan Liu, Zhangying He

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Using Deep Reinforcement Learning And Formal Verification in Safety Critical Systems: Strategies and Challenges.

Satyam Sharma, Muhammad Abdul Basit Ur Rahim, Shahid Hussain, Muhammad Rizwan Abid, Tairan Liu

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

2022

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

Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan

CoRR, 2022

Virtual impactor-based label-free bio-aerosol detection using holography and deep learning.

Yi Luo, Yijie Zhang, Tairan Liu, Alan Yu, Yichen Wu, Aydogan Ozcan

CoRR, 2022

Virtual stain transfer in histology via cascaded deep neural networks.

Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Kevin de Haan, 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

Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography.

Tairan Liu, Yuzhu Li, Hatice Ceylan Koydemir, Yijie Zhang, Ethan Yang, Hongda Wang, Jingxi Li, Bijie Bai, Aydogan Ozcan

CoRR, 2022

Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor.

Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Hongda Wang, Keelan O'Riordan, Bijie Bai, Yuta Haga, Junji Kobashi, Hitoshi Tanaka, Takaya Tamaru, Kazunori Yamaguchi, 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

Distance + Angle-Based Control of 2-D Rigid Formations.

Tairan Liu, Marcio de Queiroz

IEEE Trans. Cybern., 2021

Further results on the distance and area control of planar formations.

Tairan Liu, Marcio de Queiroz, Pengpeng Zhang, Milad Khaledyan

Int. J. Control, 2021

Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data.

Yijie Zhang, Tairan Liu, Manmohan Singh, Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Ozcan

CoRR, 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

An orthogonal basis approach to formation shape control.

Tairan Liu, Marcio de Queiroz

Autom., 2021

2020

Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents.

Milad Khaledyan, Tairan Liu, Victor Fernández-Kim, Marcio de Queiroz

IEEE Trans. Control. Syst. Technol., 2020

Switching formation shape control with distance + area/angle feedback.

Tairan Liu, Victor Fernández-Kim, Marcio de Queiroz

Syst. Control. Lett., 2020

An Orthogonal Basis Approach to Formation Shape Control (Extended Version).

Tairan Liu, Marcio de Queiroz

CoRR, 2020

Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis.

Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan

CoRR, 2020

Deep learning-based holographic polarization microscopy.

Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan

CoRR, 2020

Distance-Based Planar Formation Control using Orthogonal Variables.

Tairan Liu, Marcio de Queiroz, Farid Sahebsara

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Deep learning-based color holographic microscopy.

Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan

CoRR, 2019

Directed Formation Control of n Planar Agents with Distance and Area Constraints.

Tairan Liu, Marcio S. de Queiroz, Pengpeng Zhang, Milad Khaledyan

Proceedings of the 2019 American Control Conference, 2019

2018

Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents.

Milad Khaledyan, Tairan Liu, Marcio S. de Queiroz

CoRR, 2018

Deep learning-based super-resolution in coherent imaging systems.

Tairan Liu, Kevin de Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan

CoRR, 2018

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning.

Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Aydogan Ozcan

CoRR, 2018

2017

Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with <i>e</i>MolFrag.

Tairan Liu, Misagh Naderi, Chris Alvin, Supratik Mukhopadhyay, Michal Brylinski

J. Chem. Inf. Model., 2017