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Conference and Workshop Papers
- 2024
[c9]Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. ICML 2024- [c8]Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim:
Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. MICCAI (9) 2024: 647-658 - [c7]Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim:
Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. WACV 2024: 615-624 - 2023
- [c6]Hyuna Cho, Cendri A. C. Hutcherson:
Real-world convenience shapes laboratory food choices even when irrelevant. CogSci 2023 - [c5]Hyuna Cho, Yubin Han, Won Hwa Kim:
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. MICCAI (4) 2023: 555-566 - [c4]Hyuna Cho, Guorong Wu, Won Hwa Kim:
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) 2023: 776-786 - [c3]Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim:
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion. NeurIPS 2023 - 2021
- [c2]Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim:
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. MICCAI (2) 2021: 362-372 - [c1]Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim:
Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. MICCAI (7) 2021: 421-431
Informal and Other Publications
- 2024
- [i1]Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. CoRR abs/2409.11377 (2024)
Coauthor Index
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