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 | 474 | 2018 |
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 |
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 | 34 | 2021 |
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 |
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 |
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 | 24 | 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 | 17 | 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 | 11 | 2018 |
From Human MRI to Microscopy: Co-registration of Human Brain Images to Postmortem Histological Sections M Singh, A Rajagopalan, C Zarow, XL Zhang, TS Kim, D Hwang, AY Lee, ... 2006 IEEE Nuclear Science Symposium Conference Record 4, 1982-1985, 2006 | 4 | 2006 |
Deep convolutional neural network for acceleration of magnetic resonance angiography (MRA) Y Jun, T Eo, T Kim, J Jang, D Hwang Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, HI, 0686, 2017 | 3 | 2017 |
Deep Model-based MR Parameter Mapping Network (DOPAMINE) for Fast MR Reconstruction Y Jun, H Shin, T Eo, T Kim, D Hwang Proceedings of the 28th Annual Meeting of International Society of Magnetic …, 2020 | 2 | 2020 |
High‐SNR multiple T2(*)‐contrast magnetic resonance imaging using a robust denoising method based on tissue characteristics T Eo, T Kim, Y Jun, H Lee, SS Ahn, DH Kim, D Hwang Journal of Magnetic Resonance Imaging 45 (6), 1835-1845, 2017 | 2 | 2017 |
Cascaded Convolutional Neural Network (CNN) for Reconstruction of Undersampled Magnetic Resonance (MR) Images T Eo, Y Jun, T Kim, J Jang, D Hwang Proceedings of the International Society of magnetic Resonance in Medicine …, 2017 | 2 | 2017 |
Optimization of excitation waveform for nonlinear transmit-receive systems V Marmarelis, TS Kim US Patent App. 10/623,426, 2004 | 2 | 2004 |
Hemodynamic response based mixture model to estimate micro-and macrovasculature contributions in functional MRI M Singh, Y Zhou, TS Kim, W Sungkarat 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No …, 2003 | 2 | 2003 |
MRI-guided histological analysis of postmortem brain slices TS Kim, M Singh, S Kim, C Zarow, WG Ellis, H Chui Proc. Intl. Soc. Mag. Res. Med 11, 2255, 2003 | 2 | 2003 |
Registration of Postmortem Brain Slices to Matching MR Slices within 3D Reference MRI TS Kim, M Singh, N Ghugre, S Kim, C Zarow, HC Chui Proc. Intl. Soc. Mag. Res. Med 814, 2001 | 2 | 2001 |
Automatic registration of postmortem brain slices to MRI reference volume TS Kim, M Singh, W Sungkarat, C Zarow, H Chui 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science …, 1999 | 2 | 1999 |
Independent component analysis with mixture density model and its application to localize the brain alpha activity in fMRI and EEG JW Jeong, TS Kim, M Singh 2001 IEEE Nuclear Science Symposium Conference Record (Cat. No. 01CH37310) 4 …, 2001 | 1 | 2001 |
Intra-Subject Slice-to-Volume Registration of MR Images TS Kim, S Kim, N Ghugre, JW Jeong, M Singh Proceedings of ISMRM 811, 2001 | 1 | 2001 |