Maokun Li

Orcid: 0000-0002-7258-6413

According to our database1, Maokun Li authored at least 29 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Attenuation Tomography Using Low-Frequency Ultrasound for Thorax Imaging: Feasibility Study.
IEEE Trans. Biomed. Eng., August, 2024

Slot-Loaded Vivaldi Antenna for Biomedical Microwave Imaging Applications: Influence of Design Parameters on Antenna's Dimensions and Performances.
Sensors, August, 2024

Three Dimensional Microwave Data Inversion in Feature Space for Stroke Imaging.
IEEE Trans. Medical Imaging, April, 2024

Spatio-Temporal Classification of Lung Ventilation Patterns Using 3D EIT Images: A General Approach for Individualized Lung Function Evaluation.
IEEE J. Biomed. Health Informatics, January, 2024

Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems.
CoRR, 2024

2023
Transmissive RIS for B5G Communications: Design, Prototyping, and Experimental Demonstrations.
IEEE Trans. Commun., November, 2023

Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods.
IEEE Signal Process. Mag., March, 2023

FFT-Accelerated Transformation-Domain Image Reconstruction for Electrical Impedance Tomography.
IEEE Trans. Instrum. Meas., 2023

A Deep Generative Model-Integrated Framework for 3-D Time-Difference Electrical Impedance Tomography.
IEEE Trans. Instrum. Meas., 2023

Tri-Modal Joint Inversion Based on Disentangled Variational Autoencoder for Human Thorax Imaging.
IEEE Trans. Instrum. Meas., 2023

An Intelligent MT Data Inversion Method With Seismic Attribute Enhancement.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Feature-Based Inversion Using Variational Autoencoder for Electrical Impedance Tomography.
IEEE Trans. Instrum. Meas., 2022

Application of Multitask Learning for 2-D Modeling of Magnetotelluric Surveys: TE Case.
IEEE Trans. Geosci. Remote. Sens., 2022

3-D Model-Based Inversion Using Supervised Descent Method for Aspect-Limited Microwave Data of Metallic Targets.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep-Learning-Empowered Inverse Design for Freeform Reconfigurable Metasurfaces.
CoRR, 2022

Physics Embedded Machine Learning for Electromagnetic Data Imaging.
CoRR, 2022

Transmissive RIS for 6G Communications: Design, Prototyping, and Experimental Demonstrations.
CoRR, 2022

2021
Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint.
IEEE Trans. Geosci. Remote. Sens., 2021

Supervised Descent Learning for Thoracic Electrical Impedance Tomography.
IEEE Trans. Biomed. Eng., 2021

Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases.
CoRR, 2021

Design, Analysis, and Experiment on High-Performance Orbital Angular Momentum Beam Based on 1-Bit Programmable Metasurface.
IEEE Access, 2021

A Low-Profile Transmissive Metasurface for Transformation of Plane Wave to Contour Beam Pattern Using 4-Arm Spiral Element.
IEEE Access, 2021

Advanced Teaching in Electromagnetics at the ELEDIA Research Center.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

2020
A Supervised Descent Learning Technique for Solving Directional Electromagnetic Logging-While-Drilling Inverse Problems.
IEEE Trans. Geosci. Remote. Sens., 2020

Coding Programmable Metasurfaces Based on Deep Learning Techniques.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

2019
Three-Dimensional Electrical Impedance Tomography With Multiplicative Regularization.
IEEE Trans. Biomed. Eng., 2019

2017
A Passive Temperature-Sensing Antenna Based on a Bimetal Strip Coil.
Sensors, 2017

Study on a Poisson's Equation Solver Based On Deep Learning Technique.
CoRR, 2017

2007
Studies on Applying the Equivalence Principle Algorithm on Multiscale Problems
PhD thesis, 2007


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