Ju-Hyeon Nam

19 papers A* 1B 3Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frequency-based boundary-guided attention network for domain generalizable polyp segmentation from colonoscopy images.
Artif. Intell. Medicine
Ju-Hyeon Nam, Sang-Chul Lee
2025 — conf
EcoScale-Net: A Lightweight Multi-kernel Network for Long-Sequence 12-Lead ECG Classification.
EMA4MICCAI
Dong-Hyeon Kang, Ju-Hyeon Nam, Sang-Chul Lee
2025 J jnl
EcoScaleNet: A Lightweight Multi Kernel Network for Long Sequence 12 lead ECG Classification.
CoRR
Dong-Hyeon Kang, Ju-Hyeon Nam, Sang-Chul Lee
2025 J jnl
M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localization.
CoRR
Ju-Hyeon Nam, Dong-Hyun Moon, Sang-Chul Lee
2025 J jnl
M3FPolypSegNet++: Adaptive Gaussian frequency decomposition with multi-task learning for polyp segmentation.
Neurocomputing
Ju-Hyeon Nam, Dong-Hyeon Kang, Sang-Chul Lee
2025 J jnl
Test-Time Modality Generalization for Medical Image Segmentation.
CoRR
Ju-Hyeon Nam, Sang-Chul Lee
2025 J jnl
TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation.
CoRR
Ju-Hyeon Nam, Nur Suriza Syazwany, Sang-Chul Lee
2024 J jnl
FSDA: Frequency re-scaling in data augmentation for corruption-robust image classification.
Pattern Recognit.
Ju-Hyeon Nam, Sang-Chul Lee
2024 J jnl
Integrating multimodal contrastive learning with prototypical domain alignment for unsupervised domain adaptation of time series.
Eng. Appl. Artif. Intell.
Seo-Hyeong Park, Nur Suriza Syazwany, Ju-Hyeon Nam, Sang-Chul Lee
2024 A* conf
Modality-Agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention.
CVPR
Ju-Hyeon Nam, Nur Suriza Syazwany, Su Jung Kim, Sang-Chul Lee
2024 J jnl
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention.
CoRR
Ju-Hyeon Nam, Nur Suriza Syazwany, Su Jung Kim, Sang-Chul Lee
2024 J jnl
VizECGNet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation.
CoRR
Ju-Hyeon Nam, Seo-Hyung Park, Su Jung Kim, Sang-Chul Lee
2024 B conf
Vizecgnet: Visual ECG Image Network for Cardiovascular Diseases Classification With Multi-Modal Training and Knowledge Distillation.
ICIP
Ju-Hyeon Nam, Seo-Hyung Park, Su Jung Kim, Sang-Chul Lee
2023 B conf
M3FPolypSegNet: Segmentation Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images.
ICIP
Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany, Yerim Jung, Yu-Han Im, Sang-Chul Lee
2023 J jnl
M3FPolypSegNet: Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization in Colonoscopy Images.
CoRR
Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany, Yerim Jung, Yu-Han Im, Sang-Chul Lee
2023 J jnl
Random image frequency aggregation dropout in image classification for deep convolutional neural networks.
Comput. Vis. Image Underst.
Ju-Hyeon Nam, Sang-Chul Lee
2022 J jnl
FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention.
IEEE Access
A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee
2021 B conf
Frequency Filtering for Data Augmentation in X-Ray Image Classification.
ICIP
Ju-Hyeon Nam, Sang-Chul Lee
2021 J jnl
MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation.
IEEE Access
Nur Suriza Syazwany, Ju-Hyeon Nam, Sang-Chul Lee