| KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images T Eo, Y Jun, T Kim, J Jang, HJ Lee, D Hwang Magnetic resonance in medicine 80 (5), 2188-2201, 2018 | 513 | 2018 |
| Results of the 2020 fastMRI challenge for machine learning MR image reconstruction MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ... IEEE transactions on medical imaging 40 (9), 2306-2317, 2021 | 287 | 2021 |
| Fast multislice mapping of the myelin water fraction using multicompartment analysis of T decay at 3T: A preliminary postmortem study YP Du, R Chu, D Hwang, MS Brown, BK Kleinschmidt‐DeMasters, ... Magnetic Resonance in Medicine: An Official Journal of the International …, 2007 | 225 | 2007 |
| In vivo multi-slice mapping of myelin water content using T2* decay D Hwang, DH Kim, YP Du Neuroimage 52 (1), 198-204, 2010 | 192 | 2010 |
| Improved estimation of myelin water fraction using complex model fitting Y Nam, J Lee, D Hwang, DH Kim NeuroImage 116, 214-221, 2015 | 164 | 2015 |
| Metal artifact reduction for polychromatic X-ray CT based on a beam-hardening corrector HS Park, D Hwang, JK Seo IEEE transactions on medical imaging 35 (2), 480-487, 2015 | 107 | 2015 |
| M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer J Jang, D Hwang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 96 | 2022 |
| Relevance-cam: Your model already knows where to look JR Lee, S Kim, I Park, T Eo, D Hwang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 87 | 2021 |
| Joint deep model-based MR image and coil sensitivity reconstruction network (joint-ICNet) for fast MRI Y Jun, H Shin, T Eo, D Hwang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 71 | 2021 |
| Improved myelin water quantification using spatially regularized non‐negative least squares algorithm D Hwang, YP Du Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2009 | 71 | 2009 |
| Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces T Kim, Y Shin, K Kang, K Kim, G Kim, Y Byeon, H Kim, Y Gao, JR Lee, ... Nature communications 13 (1), 5815, 2022 | 64 | 2022 |
| Fine-grain segmentation of the intervertebral discs from MR spine images using deep convolutional neural networks: BSU-Net S Kim, WC Bae, K Masuda, CB Chung, D Hwang Applied sciences 8 (9), 1656, 2018 | 64 | 2018 |
| Susceptibility map‐weighted imaging (SMWI) for neuroimaging SM Gho, C Liu, W Li, U Jang, EY Kim, D Hwang, DH Kim Magnetic resonance in medicine 72 (2), 337-346, 2014 | 59 | 2014 |
| Toothbrushing region detection using three-axis accelerometer and magnetic sensor YJ Lee, PJ Lee, KS Kim, W Park, KD Kim, D Hwang, JW Lee IEEE Transactions on Biomedical Engineering 59 (3), 872-881, 2011 | 55 | 2011 |
| Improvement of signal-to-interference ratio and signal-to-noise ratio in nerve cuff electrode systems JU Chu, KI Song, S Han, SH Lee, J Kim, JY Kang, D Hwang, JKF Suh, ... Physiological measurement 33 (6), 943, 2012 | 54 | 2012 |
| SDC-UDA: volumetric unsupervised domain adaptation framework for slice-direction continuous cross-modality medical image segmentation H Shin, H Kim, S Kim, Y Jun, T Eo, D Hwang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 49 | 2023 |
| Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors Y Jun, T Eo, T Kim, H Shin, D Hwang, SH Bae, YW Park, HJ Lee, BW Choi, ... Scientific reports 8 (1), 9450, 2018 | 48 | 2018 |
| State-of-the-art machine learning MRI reconstruction in 2020: Results of the second fastMRI challenge MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ... arXiv preprint arXiv:2012.06318 2 (6), 7, 2020 | 44 | 2020 |
| Ring artifact correction using detector line-ratios in computed tomography Y Kim, J Baek, D Hwang Optics express 22 (11), 13380-13392, 2014 | 43 | 2014 |
| Convergence study of an accelerated ML-EM algorithm using bigger step size DS Hwang, GL Zeng Physics in Medicine & Biology 51 (2), 237, 2005 | 42 | 2005 |
