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D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
9311
World Ranking
4091
National Ranking
95

Overview

Eung Je Woo is affiliated with Kyung Hee University in South Korea and has a research focus spanning engineering and medicine. Their work primarily involves electrical and bioimpedance tomography, with contributions across multiple related topics and subfields.

The main fields of study for this researcher include:

  • Engineering
  • Medicine

The subfields of study encompass:

  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Surgery
  • Physiology

The researcher's work covers several main topics such as:

  • Electrical and Bioimpedance Tomography
  • Hemodynamic Monitoring and Therapy
  • Advanced MRI Techniques and Applications
  • Microwave Imaging and Scattering Analysis
  • Obstructive Sleep Apnea Research
  • Flow Measurement and Analysis
  • Non-Invasive Vital Sign Monitoring

Eung Je Woo has published recent papers in various journals, demonstrating focus on methods for imaging and monitoring in biomedical contexts. Notable papers include:

  • High-frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors, 2021, Magnetic Resonance in Medicine
  • Low-frequency dominant electrical conductivity imaging of in vivo human brain using high-frequency conductivity at Larmor-frequency and spherical mean diffusivity without external injection current, 2020, NeuroImage
  • Feature Extraction of Upper Airway Dynamics during Sleep Apnea using Electrical Impedance Tomography, 2020, Scientific Reports
  • Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities, 2020, BioMedical Engineering OnLine
  • Noninvasive, simultaneous, and continuous measurements of stroke volume and tidal volume using EIT: feasibility study of animal experiments, 2020, Scientific Reports

Frequent co-authors collaborating with this researcher include:

  • Tong In Oh
  • Hyung Joong Kim
  • Geuk Young Jang
  • Nitish Katoch
  • Bup Kyung Choi

Publication venues where Eung Je Woo has appeared multiple times consist of:

  • Scientific Reports
  • Journal of Magnetic Resonance Imaging
  • Frontiers in Physiology
  • NeuroImage
  • Magnetic Resonance in Medicine

Best Publications

  • Extracellular Total Electrolyte Concentration Imaging for Electrical Brain Stimulation (EBS).

    Saurav Z. K. Sajib;Mun Bae Lee;Hyung Joong Kim;Eung Je Woo

  • Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm

    Ohin Kwon;Eung Je Woo;Jeong-Rock Yoon;Jin Keun Seo

  • Magnetic resonance electrical impedance tomography (MREIT) for high-resolution conductivity imaging

    Eung Je Woo;Jin Keun Seo

  • Reconstruction of conductivity and current density images using only one component of magnetic field measurements

    Jin Keun Seo;Jeong-Rock Yoon;Eung Je Woo;Ohin Kwon

  • Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography

    Suk Hoon Oh;Byung Il Lee;Eung Je Woo;Soo Yeol Lee

  • Magnetic Resonance Electrical Impedance Tomography (MREIT)

    Jin Keun Seo;Eung Je Woo

  • Impedance tomography using internal current density distribution measured by nuclear magnetic resonance

    Eung Je Woo;Soo Yeol Lee;Chi Woong Mun

  • Finite element modeling of electrode-skin contact impedance in electrical impedance tomography

    P. Hua;E.J. Woo;J.G. Webster;W.J. Tompkins

  • J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): phantom experiments for static resistivity images

    Hyun Soo Khang;Byung Il Lee;Suk Hoon Oh;Eung Je Woo

  • Thermal--electrical finite element modelling for radio frequency cardiac ablation: effects of changes in myocardial properties.

    S. Tungjitkusolmun;E. J. Woo;H. Cao;J. Z. Tsai

  • Iterative reconstruction methods using regularization and optimal current patterns in electrical impedance tomography

    P. Hua;E.J. Woo;J.G. Webster;W.J. Tompkins

  • A robust image reconstruction algorithm and its parallel implementation in electrical impedance tomography

    E.J. Woo;P. Hua;J.G. Webster;W.J. Tompkins

  • Nonlinear Inverse Problems in Imaging

    Jin Keun Seo;Eung Je Woo

  • Multi-Frequency Electrical Impedance Tomography System With Automatic Self-Calibration for Long-Term Monitoring

    Hun Wi;Harsh Sohal;Alistair Lee McEwan;Eung Je Woo

  • Frequency-difference electrical impedance tomography (fdEIT): algorithm development and feasibility study.

    Jin Keun Seo;Jeehyun Lee;Sung Wan Kim;Habib Zribi

  • In Vivo High-ResolutionConductivity Imaging of the Human Leg Using MREIT: The First Human Experiment

    Hyung Joong Kim;Young Tae Kim;A.S. Minhas;Woo Chul Jeong

  • Finite element analyses of uniform current density electrodes for radio-frequency cardiac ablation

    S. Tungjitkusolmun;Eung Je Woo;Hong Cao;Jang-Zern Tsai

  • A fully parallel multi-frequency EIT system with flexible electrode configuration: KHU Mark2

    Tong In Oh;Hun Wi;Do Yub Kim;Pil Joong Yoo

  • Multi-frequency EIT system with radially symmetric architecture: KHU Mark1.

    Tong In Oh;Eung Je Woo;David Holder

  • Nanofiber Web Textile Dry Electrodes for Long-Term Biopotential Recording

    Tong InOh;Sun Yoon;Tae Eui Kim;Hun Wi

  • Electrical conductivity imaging using gradient B/sub z/ decomposition algorithm in magnetic resonance electrical impedance tomography (MREIT)

    Chunjae Park;Ohin Kwon;Eung Je Woo;Jin Keun Seo

Frequent Co-Authors

Jin Keun Seo
Jin Keun Seo Yonsei University
David Holder
David Holder University College London
Dong-Hyun Kim
Dong-Hyun Kim Kyung Hee University
john g webster
john g webster University of Wisconsin–Madison
Willis J. Tompkins
Willis J. Tompkins University of Wisconsin–Madison
Habib Ammari
Habib Ammari ETH Zurich
Tae-Seong Kim
Tae-Seong Kim Kyung Hee University
William R B Lionheart
William R B Lionheart University of Manchester
Damijan Miklavčič
Damijan Miklavčič University of Ljubljana
Yi Wang
Yi Wang Cornell University

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