Tairan Liu | DeepAI

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Featured Co-authors

Aydogan Ozcan
63 publications
Yi Luo
54 publications
Yair Rivenson
35 publications
Bijie Bai
15 publications
Jingxi Li
14 publications
Yibo Zhang
14 publications
Yijie Zhang
13 publications
Yichen Wu
13 publications
Kevin de Haan
10 publications
Hongda Wang
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Luzhe Huang
9 publications

∙ 01/09/2023

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

The application of deep learning techniques has greatly enhanced hologra...

0 Hanlong Chen, et al. ∙

∙ 09/17/2022

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

The past decade has witnessed transformative applications of deep learni...

5 Luzhe Huang, et al. ∙

∙ 08/30/2022

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

Exposure to bio-aerosols such as mold spores and pollen can lead to adve...

15 Yi Luo, et al. ∙

∙ 07/14/2022

Virtual stain transfer in histology via cascaded deep neural networks

Pathological diagnosis relies on the visual inspection of histologically...

0 Xilin Yang, et al. ∙

∙ 07/06/2022

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

Deep learning-based virtual staining was developed to introduce image co...

8 Yijie Zhang, et al. ∙

∙ 06/30/2022

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

Plaque assay is the gold standard method for quantifying the concentrati...

0 Tairan Liu, et al. ∙

∙ 05/07/2022

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

Early detection and identification of pathogenic bacteria such as Escher...

20 Yuzhu Li, et al. ∙

∙ 04/22/2022

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

Deep learning-based image reconstruction methods have achieved remarkabl...

2 Hanlong Chen, et al. ∙

∙ 01/27/2022

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

Deep learning-based methods in computational microscopy have been shown ...

0 Luzhe Huang, et al. ∙

∙ 03/04/2021

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

Optical Coherence Tomography (OCT) is a widely used non-invasive biomedi...

6 Yijie Zhang, et al. ∙

∙ 08/20/2020

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

Pathology is practiced by visual inspection of histochemically stained s...

0 Kevin de Haan, et al. ∙

∙ 07/01/2020

Deep learning-based holographic polarization microscopy

Polarized light microscopy provides high contrast to birefringent specim...

10 Tairan Liu, et al. ∙

∙ 07/15/2019

Deep learning-based color holographic microscopy

We report a framework based on a generative adversarial network (GAN) th...

11 Tairan Liu, et al. ∙

∙ 01/29/2019

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

In this paper, we take a first step towards generalizing a recently prop...

0 Tairan Liu, et al. ∙

∙ 12/05/2018

Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents

In this work, we present solutions to the flocking and target intercepti...

0 Milad Khaledyan, et al. ∙

∙ 10/15/2018

Deep learning-based super-resolution in coherent imaging systems

We present a deep learning framework based on a generative adversarial n...

0 Tairan Liu, et al. ∙

∙ 07/20/2018

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

Using a deep neural network, we demonstrate a digital staining technique...

2 Yair Rivenson, et al. ∙