Won Hwa Kim

Venues

Frequent coauthors

Papers

1. HiMix : Hierarchical Visual-Textual Mixing Network for Lesion Segmentation
   WACV 2026 ·

   Soojin Hwang

   DBLP profile ↗ORCID search ↗
2. Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction
   MICCAI 2025 ·

   Hyuna Cho

   DBLP profile ↗ORCID search ↗
3. Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
   ICLR 2025 ·

   Hyuna Cho

   DBLP profile ↗ORCID search ↗
4. Conditional Graph Diffusion with Topological Constraints for Brain Network Generation
   MICCAI 2025 ·

   Joonhyuk Park

   DBLP profile ↗ORCID search ↗
5. DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer's Disease Precision Medicine
   MICCAI 2025 ·

   Wooseok Jung

   DBLP profile ↗ORCID search ↗
6. Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
   NeurIPS 2025 ·

   Tingting Dan

   DBLP profile ↗ORCID search ↗
7. HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
   ICLR 2025 ·

   Minjae Jeong

   DBLP profile ↗ORCID search ↗
8. Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI
   MICCAI 2025 ·

   Miguel Luna

   DBLP profile ↗ORCID search ↗
9. Improving Sound Source Localization with Joint Slot Attention on Image and Audio
   CVPR 2025 ·

   Inho Kim

   DBLP profile ↗ORCID search ↗
10. MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
    MICCAI 2025 ·

    Seunghun Baek

    DBLP profile ↗ORCID search ↗
11. MindLink: Subject-Agnostic Cross-Subject Brain Decoding Framework
    MICCAI 2025 ·

    Sungyoon Jung

    DBLP profile ↗ORCID search ↗
12. REMix: Refinement-Enhanced Visual-Textual Mixing for Lesion Segmentation
    MICCAI 2025 ·

    Soojin Hwang

    DBLP profile ↗ORCID search ↗
13. Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation
    MICCAI 2025 ·

    Hayoung Ahn

    DBLP profile ↗ORCID search ↗
14. Topology-aware Graph Diffusion Model with Persistent Homology
    NeurIPS 2025 ·

    Joonhyuk Park

    DBLP profile ↗ORCID search ↗
15. Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
    ICLR 2024 ·

    Yujee Song

    DBLP profile ↗ORCID search ↗
16. Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
    ICML 2024 ·

    Tingting Dan

    DBLP profile ↗ORCID search ↗
17. Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models
    MICCAI 2024 ·

    Sooyeon Jeon

    DBLP profile ↗ORCID search ↗
18. Learning to Approximate Adaptive Kernel Convolution on Graphs
    AAAI 2024 ·

    Jaeyoon Sim

    DBLP profile ↗ORCID search ↗
19. Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
    MICCAI 2024 ·

    Jaeyoon Sim

    DBLP profile ↗ORCID search ↗
20. Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis
    MICCAI 2024 ·

    Yechan Hwang

    DBLP profile ↗ORCID search ↗
21. Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
    ICML 2024 ·

    Hyuna Cho

    DBLP profile ↗ORCID search ↗
22. OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
    MICCAI 2024 ·

    Seunghun Baek

    DBLP profile ↗ORCID search ↗
23. Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis
    MICCAI 2024 ·

    Minjae Jeong

    DBLP profile ↗ORCID search ↗
24. Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport
    MICCAI 2024 ·

    Yanquan Huang

    DBLP profile ↗ORCID search ↗