Hyuna Cho

Hi there! 

I'm a Ph.D. student in the Medical Information Processing (MIP) lab, working with Dr. Won Hwa Kim at POSTECH, South Korea

My research interests span computer vision, statistics, and machine learning on graphs. Specifically, I'm interested in solving problems in the medical domain that can be applied to medical images and brain connectivities with machine learning methodologies.


📄  CV

🔗  Linkedin

🔬  Google Scholar

News


Selected publications

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

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

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%]


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

Conference on Neural Information Processing Systems (NeurIPS), 2023

Hyuna Cho, Yubin Han, Won Hwa Kim

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

[Early accept, acceptance rate: 14%]

Hyuna Cho, Guorong Wu, Won Hwa Kim

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 202

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

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)

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

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

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