Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. - Hyuna Cho; Gunwoong Park; Amal Isaiah; Won Hwa Kim (MICCAI (7), 2021)

Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. - Fan Yang; Rui Meng; Hyuna Cho; Guorong Wu 001; Won Hwa Kim (MICCAI (2), 2021)

Real-world convenience shapes laboratory food choices even when irrelevant. - Hyuna Cho; Cendri A. C. Hutcherson (CogSci, 2023)

Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. - Hyuna Cho; Yubin Han; Won Hwa Kim (MICCAI (4), 2023)

Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. - Hyuna Cho; Guorong Wu 001; Won Hwa Kim (MICCAI (2), 2023)

Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. - Hyuna Cho; Minjae Jeong; Sooyeon Jeon; Sungsoo Ahn; Won Hwa Kim (NeurIPS, 2023)

Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. - Hyuna Cho; Jaeyoon Sim; Guorong Wu 001; Won Hwa Kim (ICML, 2024)

Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. - Minjae Jeong; Hyuna Cho; Sungyoon Jung; Won Hwa Kim (MICCAI (9), 2024)

Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. - Hyuna Cho; Injun Choi; Suha Kwak; Won Hwa Kim (WACV, 2024)

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Hyuna Cho; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (CoRR, 2024)

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. - Hyuna Cho; Ziquan Wei; Seungjoo Lee; Tingting Dan; Guorong Wu 001; Won Hwa Kim (ICLR, 2025)