Tae Hyung Kim - RankMe

19 papers Misc 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FINDER: Zero-Shot Field-Integrated Network for Distortion-free EPI Reconstruction in Diffusion MRI. CoRR Namgyu Han, Seong Dae Yun, Chaeeun Lim, Sunghyun Seok, Sunju Kim, Yoonhwan Kim, Yohan Jun, Tae Hyung Kim, Berkin Bilgic, Jaejin Cho
2025	J	`jnl`	ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models. CoRR Hyun Jun Yook, Ga San Jhun, Jae Hyun Cho, Min Jeon, Donghyun Kim, Tae Hyung Kim, Youn Kyu Lee
2025	J	`jnl`	Zero-Shot Recon2Recon: Data-Free Unsupervised Denoiser Learning for Plug-and-Play Magnetic Resonance Imaging Reconstruction. IEEE Access Tae Hyung Kim
2024	—	`conf`	Composition-based Detail Preservation in Pose Transformation Using Diffusion Models. ICTC Jae Hyun Cho, Min Seo Shin, So Hyun Kang, Jung Won Yoon, Tae Hyung Kim, Youn Kyu Lee
2024	J	`jnl`	Enhanced Partial Fourier MRI With Zero-Shot Deep Untrained Priors. IEEE Access So Hyun Kang, Jihoo Kim, Jaejin Cho, Clarissa Zimmerman Cooley, Amir Heydari, Berkin Bilgic, Tae Hyung Kim
2024	J	`jnl`	Orthogonal Transform-Driven Data Augmentation for Limited Gaussian-Tainted Dataset. IEEE Access Jung Won Yoon, Hyun Jun Yook, Pyo Min Hong, Youn Kyu Lee, Tae Hyung Kim
2024	—	`conf`	To Detect, and Beyond: Integrating Text-Guided Object Detection and Super-Resolution. ICTC Hyun Jun Yook, Hee Jae Chung, Yun Chang Choi, Su Yeon Kim, Tae Hyung Kim, Youn Kyu Lee
2023	—	`conf`	Enhancing Nighttime Vehicle Detection via Transformer-based Data Augmentation. ICTC Min Young Lim, Seong-Hee Park, Soo-Hyun Lee, Tae Hyung Kim, Dongwoo Kang, Youn Kyu Lee
2023	J	`jnl`	High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction. NeuroImage Congyu Liao, Uten Yarach, Xiaozhi Cao, Siddharth Srinivasan Iyer, Nan Wang, Tae Hyung Kim, Qiyuan Tian, Berkin Bilgic, Adam B. Kerr, Kawin Setsompop
2022	J	`jnl`	Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction. CoRR Jaejin Cho, Borjan A. Gagoski, Tae Hyung Kim, Qiyuan Tian, Stephen Robert Frost, Itthi Chatnuntawech, Berkin Bilgic
2021	J	`jnl`	Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting. CoRR Mengze Gao, Huihui Ye, Tae Hyung Kim, Zijing Zhang, Seohee So, Berkin Bilgic
2020	J	`jnl`	Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. CoRR Tae Hyung Kim, Justin P. Haldar
2019	J	`jnl`	LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. CoRR Tae Hyung Kim, Pratyush Garg, Justin P. Haldar
2019	Misc	`conf`	Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach. ACSSC Tae Hyung Kim, Justin P. Haldar
2018	J	`jnl`	Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods. IEEE Trans. Medical Imaging Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
2018	—	`conf`	The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. ISBI Tae Hyung Kim, Justin P. Haldar
2017	Misc	`conf`	Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization. ACSSC Justin P. Haldar, Tae Hyung Kim
2017	J	`jnl`	Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods. CoRR Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
2015	—	`conf`	SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. ISBI Tae Hyung Kim, Justin P. Haldar