| Improving parallel imaging by jointly reconstructing multi‐contrast data B Bilgic, TH Kim, C Liao, MK Manhard, LL Wald, JP Haldar, K Setsompop Magnetic resonance in medicine 80 (2), 619-632, 2018 | 92 | 2018 |
| LORAKS makes better SENSE: phase‐constrained partial fourier SENSE reconstruction without phase calibration TH Kim, K Setsompop, JP Haldar Magnetic resonance in medicine 77 (3), 1021-1035, 2017 | 71 | 2017 |
| LORAKI: Autocalibrated recurrent neural networks for autoregressive MRI reconstruction in k-space TH Kim, P Garg, JP Haldar arXiv preprint arXiv:1904.09390, 2019 | 54 | 2019 |
| Navigator-free EPI ghost correction with structured low-rank matrix models: New theory and methods RA Lobos, TH Kim, WS Hoge, JP Haldar IEEE transactions on medical imaging 37 (11), 2390-2402, 2018 | 51 | 2018 |
| Wave‐LORAKS: Combining wave encoding with structured low‐rank matrix modeling for more highly accelerated 3D imaging TH Kim, B Bilgic, D Polak, K Setsompop, JP Haldar Magnetic resonance in medicine 81 (3), 1620-1633, 2019 | 38 | 2019 |
| Analyzing incentives for protocol compliance in complex domains: A case study of introduction-based routing MP Wellman, TH Kim, Q Duong arXiv preprint arXiv:1306.0388, 2013 | 26 | 2013 |
| LORAKS Software Version 2.0: Faster Implementation and Enhanced Capabilities TH Kim, JP Haldar USC-SIPI Technical Report, 443, 2018 | 23 | 2018 |
| The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality TH Kim, JP Haldar 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 61-64, 2018 | 20 | 2018 |
| SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling TH Kim, JP Haldar 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 323-326, 2015 | 16 | 2015 |
| Navigator-free EPI ghost correction using low-rank matrix modeling: Theoretical insights and practical improvements RA Lobos, TH Kim, WS Hoge, JP Haldar Proc. Int. Soc. Magn. Reson. Med, 0449, 2017 | 15 | 2017 |
| Wave-encoded model-based deep learning for highly accelerated imaging with joint reconstruction J Cho, B Gagoski, TH Kim, Q Tian, R Frost, I Chatnuntawech, B Bilgic Bioengineering 9 (12), 736, 2022 | 8 | 2022 |
| Computational imaging with LORAKS: Reconstructing linearly predictable signals using low-rank matrix regularization JP Haldar, TH Kim 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1870-1874, 2017 | 8 | 2017 |
| LORAKI: Reconstruction of undersampled k-space data using scan-specific autocalibrated recurrent neural networks TH Kim, P Garg, JP Haldar Proc. Int. Soc. Magn. Reson. Med 4647, 50-63, 2019 | 7 | 2019 |
| Wave-LORAKS for faster wave-CAIPI MRI TH Kim, B Bilgic, D Polak, K Setsompop, JP Haldar Proc. Int. Soc. Magn. Reson. Med 25, 1037, 2017 | 5 | 2017 |
| Time‐efficient, high‐resolution 3T whole‐brain relaxometry using 3D‐QALAS with wave‐CAIPI readouts J Cho, B Gagoski, TH Kim, F Wang, MK Manhard, D Dean III, ... Magnetic Resonance in Medicine 91 (2), 630-639, 2024 | 4* | 2024 |
| High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction C Liao, U Yarach, X Cao, SS Iyer, N Wang, TH Kim, Q Tian, B Bilgic, ... Neuroimage 275, 120168, 2023 | 3 | 2023 |
| High‐fidelity, high‐spatial‐resolution diffusion magnetic resonance imaging of ex vivo whole human brain at ultra‐high gradient strength with structured low‐rank echo‐planar … G Ramos‐Llordén, RA Lobos, TH Kim, Q Tian, T Witzel, HH Lee, A Scholz, ... NMR in Biomedicine 36 (2), e4831, 2023 | 3 | 2023 |
| Efficient iterative solutions to complex-valued nonlinear least-squares problems with mixed linear and antilinear operators TH Kim, JP Haldar Optimization and engineering 23 (2), 749-768, 2022 | 3 | 2022 |
| Improved multi-shot EPI ghost correction for high gradient strength diffusion MRI using Structured LowRank Modeling k-space reconstruction G Ramos-Llordén, RA Lobos, TH Kim, Q Tian, S Tounetki, T Witzel, B Keil, ... Proceedings of the 29th Annual Meeting of ISMRM, 1346, 2021 | 3 | 2021 |
| Learning-based computational MRI reconstruction without big data: from linear interpolation and structured low-rank matrices to recurrent neural networks TH Kim, JP Haldar Wavelets and Sparsity XVIII 11138, 346-352, 2019 | 3 | 2019 |
Justin P. HaldarAssociate Professor, Electrical and Computer Engineering, University of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
