We stand with Ukraine

We stand with Ukraine

Dong Liu

Orcid: 0000-0002-9645-7683

Affiliations:

University of Science and Technology of China, Department of Modern Physics, CAS Key Laboratory of Microscale Magnetic Resonance, Hefei, China

According to our database¹, Dong Liu authored at least 33 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

NAS Powered Deep Image Prior for Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Computational Imaging, 2024

GraphEIT: Unsupervised Graph Neural Networks for Electrical Impedance Tomography.

[BibT_eX]

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IEEE Trans. Computational Imaging, 2024

2023

DeepEIT: Deep Image Prior Enabled Electrical Impedance Tomography.

[BibT_eX]

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IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Unsupervised Coordinate-Based Neural Network for Electrical Impedance Tomography.

[BibT_eX]

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IEEE Trans. Computational Imaging, 2023

2022

A Nonlinear Weighted Anisotropic Total Variation Regularization for Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Instrum. Meas., 2022

Feature-Based Inversion Using Variational Autoencoder for Electrical Impedance Tomography.

[BibT_eX]

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IEEE Trans. Instrum. Meas., 2022

2021

Shape-Driven EIT Reconstruction Using Fourier Representations.

[BibT_eX]

[DOI]

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Anil Kumar Khambampati

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IEEE Trans. Medical Imaging, 2021

Simultaneous Shape and Permittivity Reconstruction in ECT With Sparse Representation: Two-Phase Distribution Imaging.

[BibT_eX]

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IEEE Trans. Instrum. Meas., 2021

Supershape Recovery From Electrical Impedance Tomography Data.

[BibT_eX]

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IEEE Trans. Instrum. Meas., 2021

Supershape Augmented Reconstruction Method Based on Boolean Operations in Electrical Impedance Tomography.

[BibT_eX]

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IEEE Trans. Instrum. Meas., 2021

An Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values.

[BibT_eX]

[DOI]

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Tyler N. Tallman

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Andreas Hauptmann

IEEE Signal Process. Lett., 2021

Learning and correcting non-Gaussian model errors.

[BibT_eX]

[DOI]

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Tyler N. Tallman

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Jonathan A. Black

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Andreas Hauptmann

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J. Comput. Phys., 2021

Supershape augmented reconstruction method for electrical impedance tomography.

[BibT_eX]

[DOI]

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Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020

Shape-Driven Difference Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2020

Shape Reconstruction Using Boolean Operations in Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2020

B-Spline Level Set Method for Shape Reconstruction in Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2020

CT Image-Guided Electrical Impedance Tomography for Medical Imaging.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2020

Optimizing Electrode Positions in 2-D Electrical Impedance Tomography Using Deep Learning.

[BibT_eX]

[DOI]

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IEEE Trans. Instrum. Meas., 2020

Nonstationary Shape Estimation in Electrical Impedance Tomography Using a Parametric Level Set-Based Extended Kalman Filter Approach.

[BibT_eX]

[DOI]

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IEEE Trans. Instrum. Meas., 2020

Multiphase Conductivity Imaging With Electrical Impedance Tomography and B-Spline Level Set Method.

[BibT_eX]

[DOI]

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IEEE Trans. Instrum. Meas., 2020

2019

A Statistical Shape-Constrained Reconstruction Framework for Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2019

A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2019

B-Spline-Based Sharp Feature Preserving Shape Reconstruction Approach for Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2019

A Moving Morphable Components Based Shape Reconstruction Framework for Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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IEEE Trans. Medical Imaging, 2019

Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

[BibT_eX]

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IEEE Trans. Biomed. Eng., 2019

OpenQSEI: A MATLAB package for quasi static elasticity imaging.

[BibT_eX]

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SoftwareX, 2019

Less is often more: Applied inverse problems using <i>hp</i>-forward models.

[BibT_eX]

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J. Comput. Phys., 2019

Optimizing electrode positions for 2D Electrical Impedance Tomography sensors using deep learning.

[BibT_eX]

[DOI]

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CoRR, 2019

2018

A Parametric Level Set Method for Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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Anil Kumar Khambampati

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IEEE Trans. Medical Imaging, 2018

A Parametric Level set Method for Imaging Multiphase Conductivity Using Electrical Impedance Tomography.

[BibT_eX]

[DOI]

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Anil Kumar Khambampati

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IEEE Trans. Computational Imaging, 2018

2017

Comparison of parametrization methods of electroglottographic and inverse filtered acoustic speech pressure signals in distinguishing between phonation types.

[BibT_eX]

[DOI]

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Anne-Maria Laukkanen

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Biomed. Signal Process. Control., 2017

2016

Nonlinear Difference Imaging Approach to Three-Dimensional Electrical Impedance Tomography in the Presence of Geometric Modeling Errors.

[BibT_eX]

[DOI]

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Ville Kolehmainen

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Samuli Siltanen

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Anne-Maria Laukkanen

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IEEE Trans. Biomed. Eng., 2016

2010

A Differential Evolution Based Approach to Estimate the Shape and Size of Complex Shaped Anomalies Using EIT Measurements.

[BibT_eX]

[DOI]

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Anil Kumar Khambampati

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Proceedings of the Grid and Distributed Computing, Control and Automation, 2010

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