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Jongho Lee 0003
Person information
- affiliation: Seoul National University, Department of Electrical and Computer Engineering, South Korea
- affiliation (former): University of Pennsylvania, School of Medicine, Department of Radiology, PA, USA
Other persons with the same name
- Jongho Lee (aka: Jong-Ho Lee, Jong Ho Lee) — disambiguation page
- Jongho Lee 0004
(aka: Jong-Ho Lee 0004) — University of Wisconsin-Madison, WI, USA (and 2 more)
- Jong-Ho Lee 0001
- Jong-Ho Lee 0002
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2020 – today
- 2023
- [j23]Subin Lee, Hyeong-Geol Shin
Depth-wise profiles of iron and myelin in the cortex and white matter using χ-separation: A preliminary study. NeuroImage 273: 120058 (2023) - [c1]Dongwon Park, Minjun Kim, Hyungjin Kim, Jongho Lee, Se Young Chun:
Domain adaptation from posteroanterior to anteroposterior X-ray radiograph classification via deep neural converter with label recycling. ICEIC 2023: 1-4 - [i6]Heejun Shin, Taehee Kim, Jongho Lee, Se Young Chun, Seungryung Cho, Dongmyung Shin:
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization. CoRR abs/2312.01689 (2023) - 2022
- [j22]Sooyeon Ji
Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial. NeuroImage 264: 119706 (2022) - [j21]Juhyung Park
DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value. IEEE Trans. Medical Imaging 41(2): 491-499 (2022) - [i5]Juhyung Park, Dongwon Park, Hyeong-Geol Shin, Eun-Jung Choi, Hongjun An, Minjun Kim, Dongmyung Shin, Se Young Chun, Jongho Lee:
Coil2Coil: Self-supervised MR image denoising using phased-array coil images. CoRR abs/2208.07552 (2022) - 2021
- [j20]Dongmyung Shin
Deep reinforcement learning-designed radiofrequency waveform in MRI. Nat. Mach. Intell. 3(11): 985-994 (2021) - [j19]Hongjun An
DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE. NeuroImage 224: 117432 (2021) - [j18]Hyeong-Geol Shin
χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. NeuroImage 240: 118371 (2021) - [j17]Sooyeon Ji
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 40(12): 3617-3626 (2021) - [i4]Juhung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Dongmyung Shin, Hongjun An, Jongho Lee:
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues. CoRR abs/2102.02463 (2021) - [i3]Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee:
DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI. CoRR abs/2105.03061 (2021) - 2020
- [j16]Woojin Jung
Exploring linearity of deep neural network trained QSM: QSMnet+. NeuroImage 211: 116619 (2020) - [j15]Dongmyung Shin
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRFSLR. IEEE Trans. Medical Imaging 39(12): 4391-4400 (2020)
2010 – 2019
- 2019
- [j14]Hyeong-Geol Shin
Advances in gradient echo myelin water imaging at 3T and 7T. NeuroImage 188: 835-844 (2019) - [i2]Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon, Siddharth Srinivasan Iyer, Jongho Lee, Peter Bachert, Elfar Adalsteinsson, Kawin Setsompop, Berkin Bilgic:
Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning. CoRR abs/1909.13692 (2019) - [i1]Dongmyung Shin, Sooyeon Ji, Doo-Hee Lee, Jieun Lee, Se-Hong Oh, Jongho Lee:
Deep Reinforcement Learning Designed RF Pulse: DeepRFSLR. CoRR abs/1912.09015 (2019) - 2018
- [j13]Se-Hong Oh, Wanyong Shin, Jongho Lee, Mark J. Lowe:
Variable density magnetization transfer (vdMT) imaging for 7 T MR imaging. NeuroImage 168: 242-249 (2018) - [j12]Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic
Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage 179: 199-206 (2018) - [j11]Woojin Jung
Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI). NeuroImage 182: 379-388 (2018) - 2017
- [j10]Jin-Gu Lee, Hyeong-Geol Shin
An R2* model of white matter for fiber orientation and myelin concentration. NeuroImage 162: 269-275 (2017) - 2016
- [j9]Randall B. Stafford, Myung Kyun Woo, Se-Hong Oh, Sudipto Dolui, Tiejun Zhao, Young-Bo Kim, John A. Detre, Zang-Hee Cho, Jongho Lee:
An actively decoupled dual transceiver coil system for continuous ASL at 7 T. Int. J. Imaging Syst. Technol. 26(2): 106-115 (2016) - 2015
- [j8]Yoonho Nam, Jongho Lee, Dosik Hwang, Dong-Hyun Kim:
Improved estimation of myelin water fraction using complex model fitting. NeuroImage 116: 214-221 (2015) - [j7]Yoonho Nam, Dong-Hyun Kim, Jongho Lee:
Physiological noise compensation in gradient-echo myelin water imaging. NeuroImage 120: 345-349 (2015) - 2013
- [j6]Se-Hong Oh, Young-Bo Kim, Zang-Hee Cho, Jongho Lee:
Origin of B0 orientation dependent R2* (= 1/T2*) in white matter. NeuroImage 73: 71-79 (2013) - [j5]Se-Hong Oh, Michel Bilello, Matthew Schindler
Direct visualization of short transverse relaxation time component (ViSTa). NeuroImage 83: 485-492 (2013) - 2012
- [j4]Taek-Soo Kim, Jongho Lee, Jin Hyung Lee, Gary H. Glover, John M. Pauly
Analysis of the BOLD characteristics in pass-band bSSFP fMRI. Int. J. Imaging Syst. Technol. 22(1): 23-32 (2012) - [j3]Jongho Lee, Karin Shmueli, Byeong-Teck Kang, Bing Yao, Masaki Fukunaga
The contribution of myelin to magnetic susceptibility-weighted contrasts in high-field MRI of the brain. NeuroImage 59(4): 3967-3975 (2012) - 2011
- [j2]Jongho Lee, Masaki Fukunaga
Improving contrast to noise ratio of resonance frequency contrast images (phase images) using balanced steady-state free precession. NeuroImage 54(4): 2779-2788 (2011) - 2010
- [j1]Jongho Lee, Yoshiyuki Hirano
On the contribution of deoxy-hemoglobin to MRI gray-white matter phase contrast at high field. NeuroImage 49(1): 193-198 (2010)
Coauthor Index
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