Hyuna Cho

Hello!

I'm Hyuna (hyeo-nah), an incoming postdoc fellow at the National Institutes of Health (NIH) in Dr. Ronald Summers's lab. Currently, I'm a postdoctoral researcher in the Medical Information Processing (MIP) lab at POSTECH, South Korea, working with Dr. Won Hwa Kim. Last year, I was a visiting researcher in the Department of Psychiatry at UNC-Chapel Hill, collaborating with Dr. Guorong Wu.

My research interests lie at the intersection of graph machine learning, medical imaging, and computational neuroscience, with a particular emphasis on addressing challenges in graph analysis (e.g., brain connectivity analysis) and longitudinal medical data modeling (e.g., modeling neurodegenerative disease progression). Moreover, my research topics extend to adversarial attack & defense, semantic segmentation, data synthesis, and covariate correction. I am very grateful that my research has been supported by the PIURI Fellowship, Google PhD Fellowship, and Postechian Fellowship.

📄 CV

🔗 Linkedin

🔬 Google Scholar

News

[May 2025] A paper has been accepted to MICCAI 2025 (early accepted, top 9%).
[Apr. 2025] An abstract on longitudinal data generation has been accepted to AAIC 2025.
[Jan. 2025] A paper has been selected for Spotlight presentation at ICLR 2025! (acceptance rate: 5.1%)
[Jan. 2025] I won the Best Paper Award from the Graduate School of AI, POSTECH.
[Jan. 2025] I delivered an invited talk at SNU AI/Computing Frontier School about graph learning.
[Aug. 2024] I won the Google PhD Fellowship 🏆 in Health and Bioscience.
[May 2024] A paper has been accepted to MICCAI 2024 (early accepted, top 11%).
[May 2024] A paper has been accepted to ICML 2024.
[Apr. 2024] I started research as a visiting researcher at the University of North Carolina at Chapel Hill (UNC)!
[Feb. 2024] I won the excellence prize at the POSTECH GSAI Best Paper Contest.
[Jan. 2024] I won the bronze prize at the POSTECH Best Paper Competition.
[Sep. 2023] A paper on graph generation has been accepted to NeurIPS 2023!
[Aug. 2023] A paper on semantic segmentation has been accepted to WACV 2024 in the first round (acceptance rate: 11%).
[June 2023] Two papers have been accepted to MICCAI 2023. One is selected as an oral (top 3%) and the other is early accepted (top 14%).
[Feb. 2023] I won the bronze prize at the 29th Samsung Humantech Paper Award.
[Feb. 2023] I won the silver & bronze prizes at the 35th Workshop on Image Processing and Image Understanding (IPIU).
[May 2022] I won the Postechian Fellowship.
[Mar. 2022] A paper has been accepted to IEEE OJEMB (IF: 5.8).
[June 2021] Two papers have been accepted to MICCAI 2021.

Selected publications

Please check out the full list of publications on my CV!

Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction

Hyuna Cho, Hayoung Ahn, Guorong Wu, Won Hwa Kim

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

[Early accepted, acceptance rate: 9%]

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies

Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim

International Conference on Learning Representations (ICLR), 2025

[Spotlight, acceptance rate: 5.1%]

Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Minjae Jeong*, Hyuna Cho*, Sungyoon Jung, Won Hwa Kim (* equal contribution)

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024

[Early accepted, acceptance rate: 11%]

Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization

Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim

International Conference on Machine Learning (ICML), 2024

Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation

Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

[Round 1 accept, acceptance rate: 11%]

Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion

Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim

Conference on Neural Information Processing Systems (NeurIPS), 2023

Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis

Hyuna Cho, Guorong Wu, Won Hwa Kim

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023

[Oral, acceptance rate: 3%] [Bronze prize at 29th Samsung Humantech Paper Award]

Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation

Hyuna Cho, Yubin Han, Won Hwa Kim

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023

[Early accepted; acceptance rate: 14%]

Prediction of Immune Phenotypes of Bladder Cancer Patients for Precision Oncology

Hyuna Cho, Feng Tong, Sungyoung You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB), 2022 (IF: 5.8)

Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children

Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021

Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI study

Fan Yang*, Rui Meng*, Hyuna Cho, Guorong Wu, Won Hwa Kim (* equal contribution)

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021

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