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2020 – today
- 2024
[j4]Jung Won Yoon
, Hyun Jun Yook, Pyo Min Hong, Youn Kyu Lee, Tae Hyung Kim:
Orthogonal Transform-Driven Data Augmentation for Limited Gaussian-Tainted Dataset. IEEE Access 12: 127272-127282 (2024)- [j3]Seunghan Yoon, Tae Hyung Kim, Young Kul Jung, Younghoon Kim:
Accelerated muscle mass estimation from CT images through transfer learning. BMC Medical Imaging 24(1): 271 (2024) - 2023
- [j2]Congyu Liao, Uten Yarach, Xiaozhi Cao, Siddharth Srinivasan Iyer, Nan Wang, Tae Hyung Kim, Qiyuan Tian, Berkin Bilgic, Adam B. Kerr, Kawin Setsompop:
High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction. NeuroImage 275: 120168 (2023) - [c7]Min Young Lim, Seong-Hee Park, Soo-Hyun Lee, Tae Hyung Kim, Dongwoo Kang, Youn Kyu Lee:
Enhancing Nighttime Vehicle Detection via Transformer-based Data Augmentation. ICTC 2023: 827-832 - 2021
- [i6]Mengze Gao, Huihui Ye, Tae Hyung Kim, Zijing Zhang, Seohee So, Berkin Bilgic:
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting. CoRR abs/2112.03815 (2021) - 2020
- [c6]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:
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving. ITSC 2020: 1-6 - [i5]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:
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving. CoRR abs/2005.03778 (2020) - [i4]Tae Hyung Kim, Justin P. Haldar:
Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. CoRR abs/2007.09281 (2020)
2010 – 2019
- 2019
- [c5]Tae Hyung Kim, Justin P. Haldar:
Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach. ACSSC 2019: 1471-1475 - [i3]Tae Hyung Kim, Pratyush Garg, Justin P. Haldar:
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. CoRR abs/1904.09390 (2019) - 2018
- [j1]Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar:
Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods. IEEE Trans. Medical Imaging 37(11): 2390-2402 (2018) - [c4]Tae Hyung Kim, Justin P. Haldar:
The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. ISBI 2018: 61-64 - 2017
- [c3]Justin P. Haldar, Tae Hyung Kim:
Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization. ACSSC 2017: 1870-1874 - [c2]Heeseo Chae, Jae Hyuk Ju, Tae Hyung Kim:
The reliable design by the wireless network redundancy for remote control mechanism of the heavy unmanned ground vehicle. AIM 2017: 160-165 - [i2]Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar:
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods. CoRR abs/1708.05095 (2017) - 2015
- [c1]Tae Hyung Kim, Justin P. Haldar:
SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. ISBI 2015: 323-326 - 2013
- [i1]Michael P. Wellman, Tae Hyung Kim, Quang Duong:
Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing. CoRR abs/1306.0388 (2013)
Coauthor Index
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