SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. - Tae Hyung Kim 001; Justin P. Haldar (ISBI, 2015)

Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization. - Justin P. Haldar; Tae Hyung Kim 001 (ACSSC, 2017)

The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. - Tae Hyung Kim 001; Justin P. Haldar (ISBI, 2018)

Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods. - Rodrigo A. Lobos; Tae Hyung Kim 001; W. Scott Hoge; Justin P. Haldar (IEEE Trans. Medical Imaging, 2018)

Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach. - Tae Hyung Kim 001; Justin P. Haldar (ACSSC, 2019)

LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. - Tae Hyung Kim 001; Pratyush Garg; Justin P. Haldar (CoRR, 2019)

Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. - Tae Hyung Kim 001; Justin P. Haldar (CoRR, 2020)

Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting. - Mengze Gao; Huihui Ye; Tae Hyung Kim 001; Zijing Zhang; Seohee So; Berkin Bilgic (CoRR, 2021)

Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction. - Jaejin Cho; Borjan A. Gagoski; Tae Hyung Kim 001; Qiyuan Tian; Stephen Robert Frost; Itthi Chatnuntawech; Berkin Bilgic (CoRR, 2022)

Enhancing Nighttime Vehicle Detection via Transformer-based Data Augmentation. - Min Young Lim; Seong-Hee Park; Soo-Hyun Lee; Tae Hyung Kim 001; Dongwoo Kang; Youn Kyu Lee (ICTC, 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 001; Qiyuan Tian; Berkin Bilgic; Adam B. Kerr; Kawin Setsompop (NeuroImage, 2023)

Composition-based Detail Preservation in Pose Transformation Using Diffusion Models. - Jae Hyun Cho; Min Seo Shin; So Hyun Kang; Jung Won Yoon 005; Tae Hyung Kim 001; Youn Kyu Lee (ICTC, 2024)

To Detect, and Beyond: Integrating Text-Guided Object Detection and Super-Resolution. - Hyun Jun Yook; Hee Jae Chung; Yun Chang Choi; Su Yeon Kim; Tae Hyung Kim 001; Youn Kyu Lee (ICTC, 2024)

Enhanced Partial Fourier MRI With Zero-Shot Deep Untrained Priors. - So Hyun Kang; Jihoo Kim; Jaejin Cho; Clarissa Zimmerman Cooley; Amir Heydari; Berkin Bilgic; Tae Hyung Kim 001 (IEEE Access, 2024)

Orthogonal Transform-Driven Data Augmentation for Limited Gaussian-Tainted Dataset. - Jung Won Yoon 005; Hyun Jun Yook; Pyo Min Hong; Youn Kyu Lee; Tae Hyung Kim 001 (IEEE Access, 2024)

Zero-Shot Recon2Recon: Data-Free Unsupervised Denoiser Learning for Plug-and-Play Magnetic Resonance Imaging Reconstruction. - Tae Hyung Kim 001 (IEEE Access, 2025)

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models. - Hyun Jun Yook; Ga San Jhun; Jae Hyun Cho; Min Jeon; Donghyun Kim; Tae Hyung Kim 001; Youn Kyu Lee (CoRR, 2025)