| Fully automatic assessment of background parenchymal enhancement on breast MRI using machine‐learning models Y Nam, GE Park, J Kang, SH Kim Journal of Magnetic Resonance Imaging 53 (3), 818-826, 2021 | 26 | 2021 |
| 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 | 16 | 2022 |
| Multi-domain neumann network with sensitivity maps for parallel MRI reconstruction JH Lee, J Kang, SH Oh, DH Ye Sensors 22 (10), 3943, 2022 | 5 | 2022 |
| 3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation GE Park, SH Kim, Y Nam, J Kang, M Park, BJ Kang Journal of Magnetic Resonance Imaging 59 (6), 2252-2262, 2024 | 4 | 2024 |
| Diagnosis of nasal bone fractures on plain radiographs via convolutional neural networks Y Nam, Y Choi, J Kang, M Seo, SJ Heo, MK Lee Scientific Reports 12 (1), 21510, 2022 | 4 | 2022 |
| Clinical implications of focal mineral deposition in the globus pallidus on CT and quantitative susceptibility mapping of MRI H Kim, J Jang, J Kang, S Jang, Y Nam, Y Choi, N Shin, KJ Ahn, B Kim Korean Journal of Radiology 23 (7), 742, 2022 | 4 | 2022 |
| Convolutional neural network-based automatic segmentation of substantia nigra on nigrosome and neuromelanin sensitive MR images J Kang, H Kim, E Kim, E Kim, H Lee, N Shin, Y Nam Investigative Magnetic Resonance Imaging 25 (3), 156-163, 2021 | 2 | 2021 |
| Bias field correction in MRI with hampel noise denoising diffusion probabilistic model J Lee, J Kang, Y Nam, TY Lee Medical Imaging with Deep Learning, short paper track, 2023 | 1 | 2023 |
| Brain iron imaging in aging and cognitive disorders: MRI approaches J Jang, J Kang, Y Nam Taehan Yongsang Uihakhoe Chi 83 (3), 527-537, 2022 | 1 | 2022 |
| Applications of Artificial Intelligence in MR Image Acquisition and Reconstruction J Kang, Y Nam Journal of the Korean Society of Radiology 83 (6), 1229-1239, 2022 | | 2022 |
| Assessment and improvement of the quality of fat saturation in breast MRI using deep-learning with synthetic data J Kang, GE Park, SH Kim, Y Nam | | |
| Automatic assessment of motion artifact on Nigrosome 1 visualization protocol using CNN-LSTM J Kang, NY Shin, Y Nam | | |
| A Multi-Stage 3D Patch-wise Deep Learning Algorithm for Detection of New Multiple Sclerosis Lesions in Longitudinal MRI J Kang, S Jung, J Yim, J Jang, Y Nam | | |
| Hypo-diamagnetism on χ-separation: a potential marker for the differential diagnosis between MS and NMOSD. J Jang, HG Shin, H Lee, D Park, J Kang, Y Nam, J Lee, W Kim | | |
