| 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 | 430 | 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 | 205 | 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 | 50 | 2021 |
| 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 | 50 | 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 | 40 | 2020 |
| Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging YW Park, Y Jun, Y Lee, K Han, C An, SS Ahn, D Hwang, SK Lee European radiology 31, 6686-6695, 2021 | 34 | 2021 |
| 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 | 33 | 2022 |
| Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction T Eo, H Shin, Y Jun, T Kim, D Hwang Medical image analysis 63, 101689, 2020 | 32 | 2020 |
| Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method Y Jun, H Shin, T Eo, T Kim, D Hwang Medical Image Analysis 70, 102017, 2021 | 30 | 2021 |
| Parallel imaging in time‐of‐flight magnetic resonance angiography using deep multistream convolutional neural networks Y Jun, T Eo, H Shin, T Kim, HJ Lee, D Hwang Magnetic resonance in medicine 81 (6), 3840-3853, 2019 | 25 | 2019 |
| COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training H Shin, H Kim, S Kim, Y Jun, T Eo, D Hwang arXiv preprint arXiv:2203.16557, 2022 | 23 | 2022 |
| 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 | 21 | 2023 |
| Megahertz-wave-transmitting conducting polymer electrode for device-to-device integration T Kim, G Kim, H Kim, HJ Yoon, T Kim, Y Jun, TH Shin, S Kang, J Cheon, ... Nature Communications 10 (1), 653, 2019 | 19 | 2019 |
| Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ... Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 11 | 2021 |
| Translation of 1d inverse fourier transform of k-space to an image based on deep learning for accelerating magnetic resonance imaging T Eo, H Shin, T Kim, Y Jun, D Hwang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 10 | 2018 |
| Makeup evaluation system and operating method thereof EKIM Sang, DH Kwon, DS Hwang, TS Kim, DH Park, KH Bang, TJ Eo, ... US Patent 11,113,511, 2021 | 9 | 2021 |
| Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning Y Jun, YW Park, H Shin, Y Shin, JR Lee, K Han, SS Ahn, SM Lim, ... European Radiology 33 (9), 6124-6133, 2023 | 5 | 2023 |
| Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI H Shin, JE Park, Y Jun, T Eo, J Lee, JE Kim, DH Lee, HH Moon, SI Park, ... European Radiology 33 (8), 5859-5870, 2023 | 5 | 2023 |
| SSL-QALAS: Self-Supervised Learning for rapid multiparameter estimation in quantitative MRI using 3D-QALAS Y Jun, J Cho, X Wang, M Gee, PE Grant, B Bilgic, B Gagoski Magnetic Resonance in Medicine 90 (5), 2019-2032, 2023 | 4 | 2023 |
| The Latest Trends in Attention Mechanisms and Their Application in Medical Imaging H Shin, J Lee, T Eo, Y Jun, S Kim, D Hwang Taehan Yongsang Uihakhoe chi 81 (6), 1305-1333, 2020 | 4 | 2020 |
Berkin BilgicMassachusetts General Hospital, Harvard Medical SchoolVerified email at mgh.harvard.edu
