| Quantitative susceptibility mapping using deep neural network: QSMnet J Yoon, E Gong, I Chatnuntawech, B Bilgic, J Lee, W Jung, J Ko, H Jung, ... Neuroimage 179, 199-206, 2018 | 225 | 2018 |
| Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities W Jung, S Bollmann, J Lee NMR in Biomedicine 35 (4), e4292, 2022 | 78 | 2022 |
| Exploring linearity of deep neural network trained QSM: QSMnet+ W Jung, J Yoon, S Ji, JY Choi, JM Kim, Y Nam, EY Kim, J Lee Neuroimage 211, 116619, 2020 | 76 | 2020 |
| 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 | 63 | 2018 |
| 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 |
| DIFFnet: diffusion parameter mapping network generalized for input diffusion gradient schemes and b-value J Park, W Jung, EJ Choi, SH Oh, J Jang, D Shin, H An, J Lee IEEE Transactions on Medical Imaging 41 (2), 491-499, 2021 | 21 | 2021 |
| MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images W Jung, HS Lee, M Seo, Y Nam, Y Choi, NY Shin, KJ Ahn, B Kim, J Jang European Radiology 33 (4), 2686-2698, 2023 | 13 | 2023 |
| Convolutional neural network-based reconstruction for acceleration of prostate T2 weighted MR imaging: a retro- and prospective study W Jung, EH Kim, J Ko, G Jeong, MH Choi The British Journal of Radiology 95 (1133), 20211378, 2022 | 9 | 2022 |
| 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 |
| Highly accelerated 3D MPRAGE using deep neural network–based reconstruction for brain imaging in children and young adults W Jung, JY Kim, J Ko, G Jeong, HG Kim European Radiology, 1-12, 2022 | 8 | 2022 |
| 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 |
| 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 |
| Machine designing: a multi-coil local shim design using Bayesian optimization C Oh, E Choi, W Jung, H Shin, J Lee Proc. ISMRM, 4227, 2020 | 2 | 2020 |
| Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging Assessment of Optic Pathway Function in Patients With Anterior Visual Pathway Compression KM Kang, EJ Choi, W Jung, J Lee, SH Choi, YH Kim Journal of Neuro-Ophthalmology 42 (1), e192-e202, 2022 | 1 | 2022 |
| Necessity for a common dataset for a fair comparison between deep neural networks for QSM C Oh, W Jung, H Jeong, J Lee International Society for Magnetic Resonance in Medicine, 2021 | 1 | 2021 |
| DeepRespi: Retrospective correction for respiration-induced B0 fluctuation artifacts using deep learning H An, HG Shin, W Jung, J Lee Proceeding of the 28th Annual Meeting of the ISMRM 673, 2020 | 1 | 2020 |
| Separating chemical shift/exchange from magnetic susceptibility in a phantom H Eun, J Lee, W Jung, HG Shin, J Lee ISMRM, 2019 | 1 | 2019 |
| On the linearity of deep neural network trained QSM W Jung, J Yoon, JY Choi, EY Kim, J Lee Proc. Intl. Soc. Mag. Reson. Med, p317, 2019 | 1 | 2019 |
| Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques M Seo, W Jung, G Jeong, S Yang, I Shin, JY Lee, KJ Ahn, B Kim, J Jang Scientific Reports 14 (1), 18983, 2024 | | 2024 |
Jongho Lee, Ph.DProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr