| Deep learning for undersampled MRI reconstruction CM Hyun, HP Kim, SM Lee, S Lee*, JK Seo Physics in Medicine & Biology 63 (13), 135007, 2018 | 599 | 2018 |
| Automated ultrasound assessment of amniotic fluid index using deep learning HC Cho, S Sun, CM Hyun, JY Kwon, B Kim, Y Park*, JK Seo Medical Image Analysis 69, 101951, 2021 | 42 | 2021 |
| 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 |
| Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scan CM Hyun, T Bayaraa, HS Yun, TJ Jang, HS Park*, JK Seo Physics in Medicine & Biology 67 (17), 175007, 2022 | 31 | 2022 |
| A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomography HS Yun, CM Hyun*, SH Baek, SH Lee, JK Seo Plos one 17 (9), e0275114, 2022 | 24* | 2022 |
| Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification TJ Jang, HS Yun*, CM Hyun, JE Kim, SH Lee, JK Seo Medical Image Analysis, 2024 | 20 | 2024 |
| 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 | 18 | 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 |
| Complementary network for accurate amniotic fluid segmentation from ultrasound images S Sun, JY Kwon, Y Park, HC Cho*, CM Hyun, JK Seo IEEE Access 9, 108223-108235, 2021 | 15 | 2021 |
| Framelet pooling aided deep learning network: the method to process high dimensional medical data CM Hyun, KC Kim, HC Cho, JK Choi*, JK Seo Machine Learning: Science and Technology 1 (1), 015009, 2020 | 14 | 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 |
| Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring CM Hyun*, TG Kim, K Lee* Computer Methods and Programs in Biomedicine, 2024 | 4 | 2024 |
| NeRF Solves Undersampled MRI Reconstruction TJ Jang, CM Hyun* arXiv preprint arXiv:2402.13226, 2024 | 3 | 2024 |
| Deep learning for dental cone-beam computed tomography CM Hyun, T Bayaraa, SM Lee, H Jung, JK Seo* Deep Learning and Medical Applications (Book Series on Mathematics in …, 2023 | 3 | 2023 |
| Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography CM Hyun, TJ Jang, J Nam, H Kwon, K Jeon, K Lee* Machine Learning: Science and Technology 4 (1), 015034, 2023 | 3 | 2023 |
| Proceedings of the 17th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine CM Hyun, K Jeon, HS Park* 2023 Fully 3D Conference (Paper Title: Data-driven approach for metal …, 2023 | 2 | 2023 |
| Deep learning for ill-posed inverse problems in medical imaging CM Hyun, JK Seo* Deep Learning and Medical Applications (Book Series on Mathematics in …, 2023 | 2 | 2023 |
| Apparatus and method for reconstructing magnetic resonance image using learning, and under-sampling apparatus method and recording medium thereof CM Hyun, JK Seo, HP Kim, SM Lee, SC Lee US Patent 10,989,779, 2021 | 2 | 2021 |
| Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography HS Park, CM Hyun*, JK Seo IMA Journal of Applied Mathematics, https://doi.org/10.1093/imamat/hxad016, 2023 | 1 | 2023 |
| Nonlinear representation and dimensionality reduction HS Yun, A Jargal, CM Hyun, JK Seo* Deep Learning and Medical Applications (Book Series on Mathematics in …, 2023 | 1 | 2023 |
