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)

Local Feature Extraction from Salient Regions by Feature Map Transformation. - Yerim Jung; Nur Suriza Syazwany; Sang-Chul Lee (BMVC, 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)

Fine-Grained Classification via Hierarchical Feature Covariance Attention Module. - Yerim Jung; Nur Suriza Syazwany; Sujeong Kim; Sang-Chul Lee (IEEE Access, 2023)

Meta-Feature Fusion for Few-Shot Time Series Classification. - Seo-Hyeong Park; Nur Suriza Syazwany; Sang-Chul Lee (IEEE Access, 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)

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)

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