| So you want to image myelin using MRI: an overview and practical guide for myelin water imaging J Lee, JW Hyun, J Lee, EJ Choi, HG Shin, K Min, Y Nam, HJ Kim, SH Oh Journal of Magnetic Resonance Imaging 53 (2), 360-373, 2021 | 104 | 2021 |
| χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain HG Shin, J Lee, YH Yun, SH Yoo, J Jang, SH Oh, Y Nam, S Jung, S Kim, ... Neuroimage 240, 118371, 2021 | 85 | 2021 |
| Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI) W Jung, J Lee, HG Shin, Y Nam, H Zhang, SH Oh, J Lee Neuroimage 182, 379-388, 2018 | 58 | 2018 |
| Diagnosis of early-stage idiopathic parkinson's disease using high-resolution quantitative susceptibility mapping combined with histogram analysis in the substantia nigra at 3 T EY Kim, YH Sung, HG Shin, Y Noh, Y Nam, J Lee Journal of Clinical Neurology 14 (1), 90-97, 2018 | 46 | 2018 |
| Artificial neural network for myelin water imaging J Lee, D Lee, JY Choi, D Shin, HG Shin, J Lee Magnetic resonance in medicine 83 (5), 1875-1883, 2020 | 44 | 2020 |
| An R2* model of white matter for fiber orientation and myelin concentration J Lee, HG Shin, W Jung, Y Nam, SH Oh, J Lee Neuroimage 162, 269-275, 2017 | 34 | 2017 |
| Advances in gradient echo myelin water imaging at 3T and 7T HG Shin, SH Oh, M Fukunaga, Y Nam, D Lee, W Jung, M Jo, S Ji, JY Choi, ... NeuroImage 188, 835-844, 2019 | 29 | 2019 |
| Differential involvement of nigral subregions in idiopathic parkinson's disease YH Sung, J Lee, Y Nam, HG Shin, Y Noh, DH Shin, EY Kim Human Brain Mapping 39 (1), 542-553, 2018 | 28 | 2018 |
| Blip up‐down acquisition for spin‐ and gradient‐echo imaging (BUDA‐SAGE) with self‐supervised denoising enables efficient T2, T2*, para‐ and dia‐magnetic … Z Zhang, J Cho, L Wang, C Liao, HG Shin, X Cao, J Lee, J Xu, T Zhang, ... Magnetic Resonance in Medicine 88 (2), 633-650, 2022 | 22 | 2022 |
| Separating positive and negative susceptibility sources in QSM J Lee, Y Nam, JY Choi, H Shin, T Hwang, J Lee Proceedings of the ISMRM 25th Annual Meeting & Exhibition, 22-27, 2017 | 22 | 2017 |
| χ-Separation imaging for diagnosis of multiple sclerosis versus neuromyelitis optica spectrum disorder W Kim, HG Shin, H Lee, D Park, J Kang, Y Nam, J Lee, J Jang Radiology 307 (1), e220941, 2022 | 21 | 2022 |
| Initial diagnostic workup of parkinsonism: Dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T YH Sung, J Lee, Y Nam, HG Shin, Y Noh, KH Hwang, H Lee, EY Kim Parkinsonism & Related Disorders 62, 171-178, 2019 | 15 | 2019 |
| Depth-wise profiles of iron and myelin in the cortex and white matter using χ-separation: A preliminary study S Lee, HG Shin, M Kim, J Lee NeuroImage 273, 120058, 2023 | 11 | 2023 |
| DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE H An, HG Shin, S Ji, W Jung, S Oh, D Shin, J Park, J Lee NeuroImage 224, 117432, 2021 | 9 | 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 … S Ji, J Jeong, SH Oh, Y Nam, SH Choi, HG Shin, D Shin, W Jung, J Lee IEEE Transactions on Medical Imaging 40 (12), 3617-3626, 2021 | 6 | 2021 |
| chi-separation using multi-orientation data in invivo and exvivo brains: Visualization of histology up to the resolution of 350 μm HG Shin, J Seo, Y Lee, H Jeong, S Ji, M Kim, JW Park, BC Kim, KH Lee, ... Proceedings of the 30th Annual ISMRM Meeting, London 771, 2022 | 5 | 2022 |
| Chi-sepnet: Susceptibility source separation using deep neural network M Kim, HG Shin, C Oh, H Jeong, S Ji, H An, J Kim, J Jang, B Bilgic, J Lee Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting 2464, 2022 | 5 | 2022 |
| Χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. NeuroImage, 240, Article 118371 HG Shin, J Lee, YH Yun, SH Yoo, J Jang, SH Oh, Y Nam, S Jung, S Kim, ... | 5 | 2021 |
| A geometric approach to separate the effects of magnetic susceptibility and chemical shift/exchange in a phantom with isotropic magnetic susceptibility H Eun, H Jeong, J Lee, HG Shin, J Lee Magnetic Resonance in Medicine 85 (1), 281-289, 2021 | 5 | 2021 |
| SafeNet: Artificial neural network for real-time T2 mapping with quality assurance D Lee, W Jung, J Lee, J Ko, HG Shin, H Eun, Y Nam, J Lee Joint Annual Meeting ISMRM-ESMRMB. ISMRM 2277, 2018 | 4 | 2018 |
Jongho Lee, Ph.DProfessor, Department of Electrical and Computer Engineering, Seoul National University在 snu.ac.kr 的电子邮件经过验证
