Estimating the domain of attraction for power systems via a group of damping-reflected energy functions. - Young-Hyun Moon; Byoung-Kon Choi; Tae-Hoon Roh (Autom., 2000)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. - Riccardo Barbano; Alexander Denker; Hyungjin Chung; Tae-Hoon Roh; Simon Arrdige; Peter Maass; Bangti Jin; Jong Chul Ye (CoRR, 2023)

Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach. - Min-Kyung Jung; Daesun Ahn; Chan Min Park; Eun Jin Ha; Tae-Hoon Roh; Nam Kyu You; Dukyong Yoon; Hakseung Kim; Se-Hyuk Kim; Dong-Joo Kim (IEEE J. Biomed. Health Informatics, 2023)

Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach. - Min-Kyung Jung; Tae-Hoon Roh; Hakseung Kim; Eun Jin Ha; Dukyong Yoon; Chan Min Park; Se-Hyuk Kim; Nam Kyu You; Dong-Joo Kim (Expert Syst. Appl., 2024)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. - Riccardo Barbano; Alexander Denker; Hyungjin Chung; Tae-Hoon Roh; Simon R. Arridge; Peter Maass; Bangti Jin; Jong Chul Ye (IEEE Trans. Medical Imaging, 2025)