Frequency Filtering for Data Augmentation in X-Ray Image Classification. - Ju-Hyeon Nam; Sang-Chul Lee (ICIP, 2021)

MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation. - Nur Suriza Syazwany; Ju-Hyeon Nam; Sang-Chul Lee (IEEE Access, 2021)

FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention. - A-Rom Gu; Ju-Hyeon Nam; Sang-Chul Lee (IEEE Access, 2022)

M3FPolypSegNet: Segmentation Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images. - Ju-Hyeon Nam; Seo-Hyeong Park; Nur Suriza Syazwany; Yerim Jung; Yu-Han Im; Sang-Chul Lee (ICIP, 2023)

Random image frequency aggregation dropout in image classification for deep convolutional neural networks. - Ju-Hyeon Nam; Sang-Chul Lee (Comput. Vis. Image Underst., 2023)

Modality-Agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention. - Ju-Hyeon Nam; Nur Suriza Syazwany; Su Jung Kim; Sang-Chul Lee (CVPR, 2024)

Vizecgnet: Visual ECG Image Network for Cardiovascular Diseases Classification With Multi-Modal Training and Knowledge Distillation. - Ju-Hyeon Nam; Seo-Hyung Park; Su Jung Kim; Sang-Chul Lee (ICIP, 2024)

Integrating multimodal contrastive learning with prototypical domain alignment for unsupervised domain adaptation of time series. - Seo-Hyeong Park; Nur Suriza Syazwany; Ju-Hyeon Nam; Sang-Chul Lee (Eng. Appl. Artif. Intell., 2024)

FSDA: Frequency re-scaling in data augmentation for corruption-robust image classification. - Ju-Hyeon Nam; Sang-Chul Lee (Pattern Recognit., 2024)

M3FPolypSegNet++: Adaptive Gaussian frequency decomposition with multi-task learning for polyp segmentation. - Ju-Hyeon Nam; Dong-Hyeon Kang; Sang-Chul Lee (Neurocomputing, 2025)

TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation. - Ju-Hyeon Nam; Nur Suriza Syazwany; Sang-Chul Lee (CoRR, 2025)

Test-Time Modality Generalization for Medical Image Segmentation. - Ju-Hyeon Nam; Sang-Chul Lee (CoRR, 2025)

M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localization. - Ju-Hyeon Nam; Dong-Hyun Moon; Sang-Chul Lee (CoRR, 2025)