Showing results (11-20 of 59) with videos related to

Sort By:
Pageof 6
Neuroimage|November 1, 2024
Reconstruction of intra- and extra-neurite conductivity tensors via conductivity at Larmor frequency and DWI data patternsMunbae Lee, Geon-Ho Jahng, Oh-In Kwon
Biomedical Engineering Online|March 26, 2021
Decomposition of high-frequency electrical conductivity into extracellular and intracellular compartments based on two-compartment model using low-to-high multi-b diffusion MRIMun Bae Lee, Hyung Joong Kim, Oh In Kwon
Scientific Reports|February 25, 2023
High frequency conductivity decomposition by solving physically constraint underdetermined inverse problem in human brainOh-In Kwon, Mun Bae Lee, Geon-Ho Jahng
Scientific Reports|March 29, 2025
Gadolinium based contrast agent induced electrical conductivity heterogeneity analysis in the brain of Alzheimer's diseaseGeon-Ho Jahng, Mun Bae Lee, Oh-In Kwon
IEEE Transactions on Bio-Medical Engineering|June 24, 2014
Focused current density imaging using internal electrode in magnetic resonance electrical impedance tomography (MREIT)Woo Chul Jeong, Saurav Sajib, Hyung Joong Kim, et al.
Neuroimage|February 7, 2013
A tissue-relaxation-dependent neighboring method for robust mapping of the myelin water fractionOh In Kwon, Eung Je Woo, Yiping P Du, et al.
Physics in Medicine and Biology|May 19, 2012
Improved conductivity reconstruction from multi-echo MREIT utilizing weighted voxel-specific signal-to-noise ratiosMyoung Nyoun Kim, Tae Young Ha, Eung Je Woo, et al.
Physics in Medicine and Biology|December 8, 2018
Anisotropic conductivity tensor by analyzing diffusion tensor for electrical brain stimulation (EBS)Mun Bae Lee, Yeon Hyang Kim, Hyung Joong Kim, et al.
Plos One|May 20, 2021
High-frequency conductivity at Larmor-frequency in human brain using moving local window multilayer perceptron neural networkMun Bae Lee, Geon-Ho Jahng, Hyung Joong Kim, et al.
Plos One|July 22, 2021
Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approachSaurav Z K Sajib, Munish Chauhan, Oh In Kwon, et al.
Pageof 6