Tae Hyung Kim

According to our database, Tae Hyung Kim authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerated muscle mass estimation from CT images through transfer learning.

Seunghan Yoon, Tae Hyung Kim, Young Kul Jung, Younghoon Kim

BMC Medical Imaging, December, 2024

Orthogonal Transform-Driven Data Augmentation for Limited Gaussian-Tainted Dataset.

Jung Won Yoon, Hyun Jun Yook, Pyo Min Hong, Youn Kyu Lee, Tae Hyung Kim

IEEE Access, 2024

2023

High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction.

Congyu Liao, Uten Yarach, Xiaozhi Cao, Siddharth Srinivasan Iyer, Nan Wang, Tae Hyung Kim, Qiyuan Tian, Berkin Bilgic, Adam B. Kerr, Kawin Setsompop

NeuroImage, 2023

Enhancing Nighttime Vehicle Detection via Transformer-based Data Augmentation.

Min Young Lim, Seong-Hee Park, Soo-Hyun Lee, Tae Hyung Kim, Dongwoo Kang, Youn Kyu Lee

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

2021

Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting.

Mengze Gao, Huihui Ye, Tae Hyung Kim, Zijing Zhang, Seohee So, Berkin Bilgic

CoRR, 2021

2020

Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators.

Tae Hyung Kim, Justin P. Haldar

CoRR, 2020

LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving.

Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Martins Mozeiko, Eric Boise, Geehoon Uhm, Mark Gerow, Shalin Mehta, Eugene Agafonov, Tae Hyung Kim, Eric Sterner, Keunhae Ushiroda, Michael Reyes, Dmitry Zelenkovsky, Seonman Kim

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space.

Tae Hyung Kim, Pratyush Garg, Justin P. Haldar

CoRR, 2019

Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach.

Tae Hyung Kim, Justin P. Haldar

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.

Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar

IEEE Trans. Medical Imaging, 2018

The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality.

Tae Hyung Kim, Justin P. Haldar

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

The reliable design by the wireless network redundancy for remote control mechanism of the heavy unmanned ground vehicle.

Heeseo Chae, Jae Hyuk Ju, Tae Hyung Kim

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017

Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization.

Justin P. Haldar, Tae Hyung Kim

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015

SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling.

Tae Hyung Kim, Justin P. Haldar

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing.

Michael P. Wellman, Tae Hyung Kim, Quang Duong

CoRR, 2013