Tae Hyung Kim
Orcid: 0000-0001-5881-7265Affiliations:
- Hongik University, Department of Computer Engineering, Seoul, Korea
- Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA (2020-2022)
- University of Southern California, Signal and Image Processing Institute, Los Angeles, CA, US (PhD 2020)
According to our database1,
Tae Hyung Kim authored at least 19 papers
between 2015 and 2026.
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Bibliography
2026
IEEE Trans. Biomed. Eng., May, 2026
FINDER: Zero-Shot Field-Integrated Network for Distortion-free EPI Reconstruction in Diffusion MRI.
CoRR, March, 2026
2025
Zero-Shot Recon2Recon: Data-Free Unsupervised Denoiser Learning for Plug-and-Play Magnetic Resonance Imaging Reconstruction.
IEEE Access, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
IEEE Access, 2024
To Detect, and Beyond: Integrating Text-Guided Object Detection and Super-Resolution.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
2023
High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction.
NeuroImage, 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
2022
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction.
CoRR, 2022
2021
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting.
CoRR, 2021
2020
Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators.
CoRR, 2020
2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space.
CoRR, 2019
Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods.
IEEE Trans. Medical Imaging, 2018
The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2015
SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015