| Deep learning for undersampled MRI reconstruction CM Hyun, HP Kim, SM Lee, S Lee, JK Seo Physics in Medicine & Biology 63 (13), 135007, 2018 | 591 | 2018 |
| CT sinogram‐consistency learning for metal‐induced beam hardening correction HS Park, SM Lee, HP Kim, JK Seo, YE Chung Medical physics 45 (12), 5376-5384, 2018 | 145* | 2018 |
| Automatic estimation of fetal abdominal circumference from ultrasound images J Jang, Y Park, B Kim, SM Lee, JY Kwon, JK Seo IEEE journal of biomedical and health informatics 22 (5), 1512-1520, 2017 | 66 | 2017 |
| Automatic evaluation of fetal head biometry from ultrasound images using machine learning HP Kim, SM Lee, JY Kwon, Y Park, KC Kim, JK Seo Physiological measurement 40 (6), 065009, 2019 | 62 | 2019 |
| Automatic 3D cephalometric annotation system using shadowed 2D image-based machine learning SM Lee, HP Kim, K Jeon, SH Lee, JK Seo Physics in Medicine & Biology 64 (5), 055002, 2019 | 59 | 2019 |
| Learning-based local-to-global landmark annotation for automatic 3D cephalometry HS Yun, TJ Jang, SM Lee, SH Lee, JK Seo Physics in Medicine & Biology 65 (8), 085018, 2020 | 40 | 2020 |
| Deep learning-based solvability of underdetermined inverse problems in medical imaging CM Hyun, SH Baek, M Lee, SM Lee, JK Seo Medical Image Analysis 69, 101967, 2021 | 34 | 2021 |
| Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction HS Park, SM Lee, HP Kim, JK Seo arXiv preprint arXiv:1708.00244, 2017 | 24 | 2017 |
| A fidelity‐embedded learning for metal artifact reduction in dental CBCT HS Park, JK Seo, CM Hyun, SM Lee, K Jeon Medical physics 49 (8), 5195-5205, 2022 | 17 | 2022 |
| A two-stage approach for beam hardening artifact reduction in low-dose dental CBCT T Bayaraa, CM Hyun, TJ Jang, SM Lee, JK Seo Ieee Access 8, 225981-225994, 2020 | 17 | 2020 |
| Effects of changes in the Frankfort horizontal plane definition on the three-dimensional cephalometric evaluation of symmetry U Mangal, JJ Hwang, H Jo, SM Lee, YH Jung, BH Cho, JY Cha, SH Choi Applied Sciences 10 (22), 7956, 2020 | 12 | 2020 |
| A direct sinogram correction method to reduce metal-related beam-hardening in computed tomography SM Lee, T Bayaraa, H Jeong, CM Hyun, JK Seo IEEE Access 7, 128828-128836, 2019 | 9 | 2019 |
| Towards beam hardening correction for polychromatic X-ray CT HS Park, H Gao, SM Lee, JK Seo Journal of Computational Mathematics, 671-682, 2016 | 5 | 2016 |
| A model‐based sinogram correction for beam hardening artifact reduction in CT SM Lee, JK Seo, YE Chung, J Baek, HS Park Medical physics 44 (9), e147-e152, 2017 | 4 | 2017 |
| Reorientation methodology for reproducible head posture in serial cone beam computed tomography images U Mangal, SM Lee, S Lee, JY Cha, KJ Lee, HS Yu, H Jung, SH Choi Scientific reports 13 (1), 3220, 2023 | 2 | 2023 |
| Improving learnability of neural networks: adding supplementary axes to disentangle data representation B Kim, SM Lee, JK Seo arXiv preprint arXiv:1902.04205, 2019 | 2 | 2019 |
Jin Keun SeoYonsei UniversityVerified email at yonsei.ac.kr
