9 papers
BBR-Net: Boundary-Balanced Replay for Continual Medical Image Segmentation
Zahid Ullah, Sieun Choi, Jihie Kim
Continual learning for medical image segmentation remains challenging under domain shift because replay-based methods often preserve appearance information without explicitly model…
NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery
Minki Hong, Jangho Choi, Jihie Kim
Social norms govern culturally appropriate behavior in communication, enabling dialogue systems to produce responses that are not only coherent but also socially acceptable. We pre…
VL-OrdinalFormer: Vision Language Guided Ordinal Transformers for Interpretable Knee Osteoarthritis Grading
Zahid Ullah, Jihie Kim
Knee osteoarthritis (KOA) is a leading cause of disability worldwide, and accurate severity assessment using the Kellgren Lawrence (KL) grading system is critical for clinical deci…
Unified Review and Benchmark of Deep Segmentation Architectures for Cardiac Ultrasound on CAMUS
Zahid Ullah, Muhammad Hilal, Eunsoo Lee +2
Several review papers summarize cardiac imaging and DL advances, few works connect this overview to a unified and reproducible experimental benchmark. In this study, we combine a f…
Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
Zahid Ullah, Minki Hong, Tahir Mahmood +1
Deep learning has become a powerful tool for medical image analysis; however, conventional Convolutional Neural Networks (CNNs) often fail to capture the fine-grained and complex f…
Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification
Zahid Ullah, Dragan Pamucar, Jihie Kim
Magnetic Resonance Imaging (MRI) is widely recognized as the most reliable tool for detecting tumors due to its capability to produce detailed images that reveal their presence. Ho…