Jongho Lee

Orcid: 0000-0002-9485-5434

Affiliations:
  • Seoul National University, Department of Electrical and Computer Engineering, South Korea
  • University of Pennsylvania, School of Medicine, Department of Radiology, PA, USA (former)


According to our database1, Jongho Lee authored at least 28 papers between 2010 and 2023.

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Timeline

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Bibliography

2023
Depth-wise profiles of iron and myelin in the cortex and white matter using χ-separation: A preliminary study.
NeuroImage, June, 2023

Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization.
CoRR, 2023

Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023

2022
DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value.
IEEE Trans. Medical Imaging, 2022

Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial.
NeuroImage, 2022

Coil2Coil: Self-supervised MR image denoising using phased-array coil images.
CoRR, 2022

2021
Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-Maps.
IEEE Trans. Medical Imaging, 2021

χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain.
NeuroImage, 2021

DeepResp: Deep learning solution for respiration-induced B<sub>0</sub> fluctuation artifacts in multi-slice GRE.
NeuroImage, 2021

Deep reinforcement learning-designed radiofrequency waveform in MRI.
Nat. Mach. Intell., 2021

DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI.
CoRR, 2021

DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues.
CoRR, 2021

2020
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRF<sub>SLR</sub>.
IEEE Trans. Medical Imaging, 2020

Exploring linearity of deep neural network trained QSM: QSMnet<sup>+</sup>.
NeuroImage, 2020

2019
Advances in gradient echo myelin water imaging at 3T and 7T.
NeuroImage, 2019

Deep Reinforcement Learning Designed RF Pulse: DeepRF<sub>SLR</sub>.
CoRR, 2019

2018
Quantitative susceptibility mapping using deep neural network: QSMnet.
NeuroImage, 2018

Variable density magnetization transfer (vdMT) imaging for 7 T MR imaging.
NeuroImage, 2018

Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI).
NeuroImage, 2018

2017
An R<sub>2</sub>* model of white matter for fiber orientation and myelin concentration.
NeuroImage, 2017

2016
An actively decoupled dual transceiver coil system for continuous ASL at 7 T.
Int. J. Imaging Syst. Technol., 2016

2015
Improved estimation of myelin water fraction using complex model fitting.
NeuroImage, 2015

Physiological noise compensation in gradient-echo myelin water imaging.
NeuroImage, 2015

2013
Origin of B<sub>0</sub> orientation dependent R<sub>2</sub><sup>*</sup> (= 1/T<sub>2</sub><sup>*</sup>) in white matter.
NeuroImage, 2013

Direct visualization of short transverse relaxation time component (ViSTa).
NeuroImage, 2013

2012
The contribution of myelin to magnetic susceptibility-weighted contrasts in high-field MRI of the brain.
NeuroImage, 2012

2011
Improving contrast to noise ratio of resonance frequency contrast images (phase images) using balanced steady-state free precession.
NeuroImage, 2011

2010
On the contribution of deoxy-hemoglobin to MRI gray-white matter phase contrast at high field.
NeuroImage, 2010


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